paper_name,month,year,venue,url,bibkey,cite_acl
pretraining_transformer_models_with_sentencelevel_objectives_for_answer_sentence_selection,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.810,di-liello-etal-2022-pre,"Luca Di Liello, Siddhant Garg, Luca Soldaini, and Alessandro Moschitti. 2022. Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11806–11816, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
style_transfer_through_backtranslation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dont_say_that_making_inconsistent_dialogue_unlikely_with_unlikelihood_training,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatic_metric_validation_for_grammatical_error_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
robust_hate_speech_detection_via_mitigating_spurious_correlations,November,2022.0,,https://aclanthology.org/2022.aacl-short.7,tiwari-etal-2022-robust,"Kshitiz Tiwari, Shuhan Yuan, and Lu Zhang. 2022. Robust Hate Speech Detection via Mitigating Spurious Correlations. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 51–56, Online only. Association for Computational Linguistics."
named_entity_recognition_with_characterlevel_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_formal_hierarchy_of_rnn_architectures,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_simple_and_effective_approach_to_coverageaware_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
deepspeare_a_joint_neural_model_of_poetic_language_meter_and_rhyme,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evolutionary_data_measures_understanding_the_difficulty_of_text_classification_tasks,October,2018.0,CoNLL,https://aclanthology.org/K18-1037,collins-etal-2018-evolutionary,"Edward Collins, Nikolai Rozanov, and Bingbing Zhang. 2018. Evolutionary Data Measures: Understanding the Difficulty of Text Classification Tasks. In Proceedings of the 22nd Conference on Computational Natural Language Learning, pages 380–391, Brussels, Belgium. Association for Computational Linguistics."
neural_readability_pairwise_ranking_for_sentences_in_italian_administrative_language,November,2022.0,,https://aclanthology.org/2022.aacl-main.63,miliani-etal-2022-neural,"Martina Miliani, Serena Auriemma, Fernando Alva-Manchego, and Alessandro Lenci. 2022. Neural Readability Pairwise Ranking for Sentences in Italian Administrative Language. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 849–866, Online only. Association for Computational Linguistics."
a_humancentric_evaluation_platform_for_explainable_knowledge_graph_completion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
privacy_implications_of_retrievalbased_language_models,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.921,huang-etal-2023-privacy,"Yangsibo Huang, Samyak Gupta, Zexuan Zhong, Kai Li, and Danqi Chen. 2023. Privacy Implications of Retrieval-Based Language Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 14887–14902, Singapore. Association for Computational Linguistics."
multihiertt_numerical_reasoning_over_multi_hierarchical_tabular_and_textual_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sentiment_analysis_on_streaming_user_reviews_via_dualchannel_dynamic_graph_neural_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
combining_the_best_of_two_worlds_a_hybrid_approach_to_multilingual_coreference_resolution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
questionanswering_in_a_lowresourced_language_benchmark_dataset_and_models_for_tigrinya,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
coreference_in_wikipedia_main_concept_resolution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
taskoriented_dialogue_system_for_automatic_diagnosis,July,2018.0,ACL,https://aclanthology.org/P18-2033,wei-etal-2018-task,"Zhongyu Wei, Qianlong Liu, Baolin Peng, Huaixiao Tou, Ting Chen, Xuanjing Huang, Kam-fai Wong, and Xiangying Dai. 2018. Task-oriented Dialogue System for Automatic Diagnosis. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 201–207, Melbourne, Australia. Association for Computational Linguistics."
learning_to_ignore_adversarial_attacks,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.216,zhang-etal-2023-learning,"Yiming Zhang, Yangqiaoyu Zhou, Samuel Carton, and Chenhao Tan. 2023. Learning to Ignore Adversarial Attacks. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2970–2984, Dubrovnik, Croatia. Association for Computational Linguistics."
directions_for_nlp_practices_applied_to_online_hate_speech_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_simple_and_effective_usage_of_word_clusters_for_cbow_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
aligning_medical_domain_ontologies_for_clinical_query_extraction,April,2009.0,EACL,https://aclanthology.org/E09-3010,wennerberg-2009-aligning,"Pinar Wennerberg. 2009. Aligning Medical Domain Ontologies for Clinical Query Extraction. In Proceedings of the Student Research Workshop at EACL 2009, pages 79–87, Athens, Greece. Association for Computational Linguistics."
training_adaptive_computation_for_opendomain_question_answering_with_computational_constraints,August,2021.0,,https://aclanthology.org/2021.acl-short.57,wu-etal-2021-training,"Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, and Sebastian Riedel. 2021. Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 447–453, Online. Association for Computational Linguistics."
learning_to_translate_in_realtime_with_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
punctuation_making_a_point_in_unsupervised_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
polyglot_prompt_multilingual_multitask_prompt_training,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
qasr_qcri_aljazeera_speech_resource_a_large_scale_annotated_arabic_speech_corpus,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_recover_from_multimodality_errors_for_nonautoregressive_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
factored_statistical_machine_translation_for_grammatical_error_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pairspanbert_an_enhanced_language_model_for_bridging_resolution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
style_transfer_as_data_augmentation_a_case_study_on_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_bayesian_mixture_model_for_term_reoccurrence_and_burstiness,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
your_answer_is_incorrect_would_you_like_to_know_why_introducing_a_bilingual_short_answer_feedback_dataset,May,2022.0,ACL,https://aclanthology.org/2022.acl-long.587,filighera-etal-2022-answer,"Anna Filighera, Siddharth Parihar, Tim Steuer, Tobias Meuser, and Sebastian Ochs. 2022. Your Answer is Incorrect... Would you like to know why? Introducing a Bilingual Short Answer Feedback Dataset. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 8577–8591, Dublin, Ireland. Association for Computational Linguistics."
extracting_commonsense_properties_from_embeddings_with_limited_human_guidance,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
kandinsky_an_improved_texttoimage_synthesis_with_image_prior_and_latent_diffusion,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-demo.25,razzhigaev-etal-2023-kandinsky,"Anton Razzhigaev, Arseniy Shakhmatov, Anastasia Maltseva, Vladimir Arkhipkin, Igor Pavlov, Ilya Ryabov, Angelina Kuts, Alexander Panchenko, Andrey Kuznetsov, and Denis Dimitrov. 2023. Kandinsky: An Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 286–295, Singapore. Association for Computational Linguistics."
adaptive_gating_in_mixtureofexperts_based_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
restricted_recurrent_neural_tensor_networks_exploiting_word_frequency_and_compositionality,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
knowledge_graphaugmented_abstractive_summarization_with_semanticdriven_cloze_reward,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_dual_paraphrasing_for_twostage_semantic_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
contrastive_visual_semantic_pretraining_magnifies_the_semantics_of_natural_language_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
did_you_mean_confidencebased_tradeoffs_in_semantic_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
regularized_structured_perceptron_a_case_study_on_chinese_word_segmentation_pos_tagging_and_parsing,April,2014.0,EACL,https://aclanthology.org/E14-1018,zhang-etal-2014-regularized,"Kaixu Zhang, Jinsong Su, and Changle Zhou. 2014. Regularized Structured Perceptron: A Case Study on Chinese Word Segmentation, POS Tagging and Parsing. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 164–173, Gothenburg, Sweden. Association for Computational Linguistics."
deterministic_shiftreduce_parsing_for_unificationbased_grammars_by_using_default_unification,March,2009.0,EACL,https://aclanthology.org/E09-1069,ninomiya-etal-2009-deterministic,"Takashi Ninomiya, Takuya Matsuzaki, Nobuyuki Shimizu, and Hiroshi Nakagawa. 2009. Deterministic Shift-Reduce Parsing for Unification-Based Grammars by Using Default Unification. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 603–611, Athens, Greece. Association for Computational Linguistics."
discrete_latent_variable_representations_for_lowresource_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
joint_chinese_word_segmentation_and_partofspeech_tagging_via_twoway_attentions_of_autoanalyzed_knowledge,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.735,tian-etal-2020-joint-chinese,"Yuanhe Tian, Yan Song, Xiang Ao, Fei Xia, Xiaojun Quan, Tong Zhang, and Yonggang Wang. 2020. Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed Knowledge. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8286–8296, Online. Association for Computational Linguistics."
fidelityenriched_contrastive_search_reconciling_the_faithfulnessdiversity_tradeoff_in_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dopa_meter__a_tool_suite_for_metrical_document_profiling_and_aggregation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-demo.18,lohr-hahn-2023-dopa,"Christina Lohr and Udo Hahn. 2023. DOPA METER – A Tool Suite for Metrical Document Profiling and Aggregation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 218–228, Singapore. Association for Computational Linguistics."
composing_finite_state_transducers_on_gpus,July,2018.0,ACL,https://aclanthology.org/P18-1251,argueta-chiang-2018-composing,"Arturo Argueta and David Chiang. 2018. Composing Finite State Transducers on GPUs. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2697–2705, Melbourne, Australia. Association for Computational Linguistics."
modeling_infant_word_segmentation,June,2011.0,CoNLL,https://aclanthology.org/W11-0304,lignos-2011-modeling,"Constantine Lignos. 2011. Modeling Infant Word Segmentation. In Proceedings of the Fifteenth Conference on Computational Natural Language Learning, pages 29–38, Portland, Oregon, USA. Association for Computational Linguistics."
spt_learning_to_selectively_insert_prompts_for_better_prompt_tuning,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.727,zhu-tan-2023-spt,"Wei Zhu and Ming Tan. 2023. SPT: Learning to Selectively Insert Prompts for Better Prompt Tuning. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11862–11878, Singapore. Association for Computational Linguistics."
adviser_a_dialog_system_framework_for_education__research,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
kaggledbqa_realistic_evaluation_of_texttosql_parsers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bilingual_lexicon_induction_via_unsupervised_bitext_construction_and_word_alignment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nearnegative_distinction_giving_a_second_life_to_human_evaluation_datasets,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dqbart_efficient_sequencetosequence_model_via_joint_distillation_and_quantization,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.22,li-etal-2022-dq,"Zheng Li, Zijian Wang, Ming Tan, Ramesh Nallapati, Parminder Bhatia, Andrew Arnold, Bing Xiang, and Dan Roth. 2022. DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 203–211, Dublin, Ireland. Association for Computational Linguistics."
oommix_outofmanifold_regularization_in_contextual_embedding_space_for_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_generative_aspectbased_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crosslanguage_sentence_selection_via_data_augmentation_and_rationale_training,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_extreme_multilabel_text_classification_addressing_challenges_in_model_data_and_evaluation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.30,li-etal-2023-enhancing-extreme,"Dan Li, Zi Long Zhu, Janneke van de Loo, Agnes Masip Gomez, Vikrant Yadav, Georgios Tsatsaronis, and Zubair Afzal. 2023. Enhancing Extreme Multi-Label Text Classification: Addressing Challenges in Model, Data, and Evaluation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 313–321, Singapore. Association for Computational Linguistics."
beware_of_model_collapse_fast_and_stable_testtime_adaptation_for_robust_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
large_language_models_in_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
knowledgeaugmented_language_model_verification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluating_and_improving_factuality_in_multimodal_abstractive_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
xpqa_crosslingual_product_question_answering_in_12_languages,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.12,shen-etal-2023-xpqa,"Xiaoyu Shen, Akari Asai, Bill Byrne, and Adria De Gispert. 2023. xPQA: Cross-Lingual Product Question Answering in 12 Languages. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 103–115, Toronto, Canada. Association for Computational Linguistics."
a_case_study_of_analysis_of_construals_in_language_on_social_media_surrounding_a_crisis_event,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
which_side_are_you_on_identifying_perspectives_at_the_document_and_sentence_levels,June,2006.0,CoNLL,https://aclanthology.org/W06-2915,lin-etal-2006-side,"Wei-Hao Lin, Theresa Wilson, Janyce Wiebe, and Alexander Hauptmann. 2006. Which Side are You on? Identifying Perspectives at the Document and Sentence Levels. In Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X), pages 109–116, New York City. Association for Computational Linguistics."
learning_new_skills_after_deployment_improving_opendomain_internetdriven_dialogue_with_human_feedback,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learn_and_consolidate_continual_adaptation_for_zeroshot_and_multilingual_neural_machine_translation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.860,huang-etal-2023-learn,"Kaiyu Huang, Peng Li, Junpeng Liu, Maosong Sun, and Yang Liu. 2023. Learn and Consolidate: Continual Adaptation for Zero-Shot and Multilingual Neural Machine Translation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13938–13951, Singapore. Association for Computational Linguistics."
a_simple_recipe_towards_reducing_hallucination_in_neural_surface_realisation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
seen_to_unseen_exploring_compositional_generalization_of_multiattribute_controllable_dialogue_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
applicationagnostic_language_modeling_for_ondevice_asr,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_passage_retrieval_with_zeroshot_question_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tchebycheff_procedure_for_multitask_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fewshot_dialogue_summarization_via_skeletonassisted_prompt_transfer_in_prompt_tuning,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.148,xie-etal-2024-shot,"Kaige Xie, Tong Yu, Haoliang Wang, Junda Wu, Handong Zhao, Ruiyi Zhang, Kanak Mahadik, Ani Nenkova, and Mark Riedl. 2024. Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2408–2421, St. Julian’s, Malta. Association for Computational Linguistics."
saying_no_is_an_art_contextualized_fallback_responses_for_unanswerable_dialogue_queries,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
normalizing_mutual_information_for_robust_adaptive_training_for_translation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.547,lee-etal-2022-normalizing,"Youngwon Lee, Changmin Lee, Hojin Lee, and Seung-won Hwang. 2022. Normalizing Mutual Information for Robust Adaptive Training for Translation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8008–8015, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
colt5_faster_longrange_transformers_with_conditional_computation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automated_chess_commentator_powered_by_neural_chess_engine,July,2019.0,ACL,https://aclanthology.org/P19-1597,zang-etal-2019-automated,"Hongyu Zang, Zhiwei Yu, and Xiaojun Wan. 2019. Automated Chess Commentator Powered by Neural Chess Engine. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 5952–5961, Florence, Italy. Association for Computational Linguistics."
simultaneous_translation_policies_from_fixed_to_adaptive,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hyperdoc2vec_distributed_representations_of_hypertext_documents,July,2018.0,ACL,https://aclanthology.org/P18-1222,han-etal-2018-hyperdoc2vec,"Jialong Han, Yan Song, Wayne Xin Zhao, Shuming Shi, and Haisong Zhang. 2018. hyperdoc2vec: Distributed Representations of Hypertext Documents. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2384–2394, Melbourne, Australia. Association for Computational Linguistics."
ode_transformer_an_ordinary_differential_equationinspired_model_for_sequence_generation,May,2022.0,ACL,https://aclanthology.org/2022.acl-long.571,li-etal-2022-ode,"Bei Li, Quan Du, Tao Zhou, Yi Jing, Shuhan Zhou, Xin Zeng, Tong Xiao, JingBo Zhu, Xuebo Liu, and Min Zhang. 2022. ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 8335–8351, Dublin, Ireland. Association for Computational Linguistics."
exploring_distributional_shifts_in_large_language_models_for_code_analysis,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.1013,arakelyan-etal-2023-exploring,"Shushan Arakelyan, Rocktim Das, Yi Mao, and Xiang Ren. 2023. Exploring Distributional Shifts in Large Language Models for Code Analysis. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16298–16314, Singapore. Association for Computational Linguistics."
weakly_supervised_semantic_parsing_with_abstract_examples,July,2018.0,ACL,https://aclanthology.org/P18-1168,goldman-etal-2018-weakly,"Omer Goldman, Veronica Latcinnik, Ehud Nave, Amir Globerson, and Jonathan Berant. 2018. Weakly Supervised Semantic Parsing with Abstract Examples. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1809–1819, Melbourne, Australia. Association for Computational Linguistics."
arabic_dialect_identification_with_a_few_labeled_examples_using_generative_adversarial_networks,November,2022.0,,https://aclanthology.org/2022.aacl-main.16,yusuf-etal-2022-arabic,"Mahmoud Yusuf, Marwan Torki, and Nagwa El-Makky. 2022. Arabic Dialect Identification with a Few Labeled Examples Using Generative Adversarial Networks. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 196–204, Online only. Association for Computational Linguistics."
kebap_korean_error_explainable_benchmark_dataset_for_asr_and_postprocessing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
scheduled_multitask_learning_for_neural_chat_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adversarial_stylometry_in_the_wild_transferable_lexical_substitution_attacks_on_author_profiling,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.203,emmery-etal-2021-adversarial,"Chris Emmery, Ákos Kádár, and Grzegorz Chrupała. 2021. Adversarial Stylometry in the Wild: Transferable Lexical Substitution Attacks on Author Profiling. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2388–2402, Online. Association for Computational Linguistics."
learning_to_generate_taskspecific_adapters_from_task_description,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
entityfocused_dense_passage_retrieval_for_outsideknowledge_visual_question_answering,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.551,wu-mooney-2022-entity,"Jialin Wu and Raymond Mooney. 2022. Entity-Focused Dense Passage Retrieval for Outside-Knowledge Visual Question Answering. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8061–8072, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
enslm_ensemble_language_model_for_data_diversity_by_semantic_clustering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_temporal_scoping_of_relational_facts_based_on_wikipedia_data,June,2014.0,CoNLL,https://aclanthology.org/W14-1612,sil-cucerzan-2014-towards,"Avirup Sil and Silviu-Petru Cucerzan. 2014. Towards Temporal Scoping of Relational Facts based on Wikipedia Data. In Proceedings of the Eighteenth Conference on Computational Natural Language Learning, pages 109–118, Ann Arbor, Michigan. Association for Computational Linguistics."
sib200_a_simple_inclusive_and_big_evaluation_dataset_for_topic_classification_in_200_languages_and_dialects,August,2024.0,ACL,https://aclanthology.org/2024.acl-long,UNKNOWN_BIBKEY,N/A
selecting_backtranslated_data_from_multiple_sources_for_improved_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hat_hardwareaware_transformers_for_efficient_natural_language_processing,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.686,wang-etal-2020-hat,"Hanrui Wang, Zhanghao Wu, Zhijian Liu, Han Cai, Ligeng Zhu, Chuang Gan, and Song Han. 2020. HAT: Hardware-Aware Transformers for Efficient Natural Language Processing. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 7675–7688, Online. Association for Computational Linguistics."
math_word_problem_solving_by_generating_linguistic_variants_of_problem_statements,July,2023.0,ACL,https://aclanthology.org/2023.acl-srw.49,raiyan-etal-2023-math,"Syed Rifat Raiyan, Md Nafis Faiyaz, Shah Md. Jawad Kabir, Mohsinul Kabir, Hasan Mahmud, and Md Kamrul Hasan. 2023. Math Word Problem Solving by Generating Linguistic Variants of Problem Statements. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), pages 362–378, Toronto, Canada. Association for Computational Linguistics."
integrated_learning_of_dialog_strategies_and_semantic_parsing,April,2017.0,EACL,https://aclanthology.org/E17-1052,padmakumar-etal-2017-integrated,"Aishwarya Padmakumar, Jesse Thomason, and Raymond J. Mooney. 2017. Integrated Learning of Dialog Strategies and Semantic Parsing. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 547–557, Valencia, Spain. Association for Computational Linguistics."
panacea_an_automated_misinformation_detection_system_on_covid19,June,2018.0,NAACL,https://aclanthology.org/N18-2036,kashefi-etal-2018-semantic,"Omid Kashefi, Andrew T. Lucas, and Rebecca Hwa. 2018. Semantic Pleonasm Detection. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers), pages 225–230, New Orleans, Louisiana. Association for Computational Linguistics."
cbnu_system_for_sigmorphon_2019_shared_task_2_a_pipeline_model,August,2019.0,ACL,https://aclanthology.org/W19-4204,shadikhodjaev-lee-2019-cbnu,"Uygun Shadikhodjaev and Jae Sung Lee. 2019. CBNU System for SIGMORPHON 2019 Shared Task 2: a Pipeline Model. In Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 19–24, Florence, Italy. Association for Computational Linguistics."
from_discourse_to_narrative_knowledge_projection_for_event_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_conditional_splitting_framework_for_efficient_constituency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
triplenet_triple_attention_network_for_multiturn_response_selection_in_retrievalbased_chatbots,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
glclef_a_globallocal_contrastive_learning_framework_for_crosslingual_spoken_language_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_safer_operations_an_expertinvolved_dataset_of_highpressure_gas_incidents_for_preventing_future_failures,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.49,inoue-etal-2023-towards,"Shumpei Inoue, Minh-Tien Nguyen, Hiroki Mizokuchi, Tuan-Anh Nguyen, Huu-Hiep Nguyen, and Dung Le. 2023. Towards Safer Operations: An Expert-involved Dataset of High-Pressure Gas Incidents for Preventing Future Failures. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 509–521, Singapore. Association for Computational Linguistics."
neural_semimarkov_crf_for_monolingual_word_alignment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
what_when_and_how_to_ground_designing_user_personaaware_conversational_agents_for_engaging_dialogue,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.68,kwon-etal-2023-ground,"Deuksin Kwon, Sunwoo Lee, Ki Hyun Kim, Seojin Lee, Taeyoon Kim, and Eric Davis. 2023. What, When, and How to Ground: Designing User Persona-Aware Conversational Agents for Engaging Dialogue. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 707–719, Toronto, Canada. Association for Computational Linguistics."
thesauruses_for_prepositional_phrase_attachment,May 6 - May 7,2004.0,CoNLL,https://aclanthology.org/W04-2410,mclauchlan-2004-thesauruses,"Mark McLauchlan. 2004. Thesauruses for Prepositional Phrase Attachment. In Proceedings of the Eighth Conference on Computational Natural Language Learning (CoNLL-2004) at HLT-NAACL 2004, pages 73–80, Boston, Massachusetts, USA. Association for Computational Linguistics."
gender_inflected_or_bias_inflicted_on_using_grammatical_gender_cues_for_bias_evaluation_in_machine_translation,November,2023.0,,https://aclanthology.org/2023.ijcnlp-srw.3,singh-2023-gender,"Pushpdeep Singh. 2023. Gender Inflected or Bias Inflicted: On Using Grammatical Gender Cues for Bias Evaluation in Machine Translation. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 17–23, Nusa Dua, Bali. Association for Computational Linguistics."
sdr_efficient_neural_reranking_using_succinct_document_representation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
understanding_and_improving_knowledge_distillation_for_quantization_aware_training_of_large_transformer_encoders,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
discovering_differences_in_the_representation_of_people_using_contextualized_semantic_axes,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.228,lucy-etal-2022-discovering,"Li Lucy, Divya Tadimeti, and David Bamman. 2022. Discovering Differences in the Representation of People using Contextualized Semantic Axes. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3477–3494, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
scalable_term_selection_for_text_categorization,June,2007.0,,https://aclanthology.org/D07-1081,li-sun-2007-scalable,"Jingyang Li and Maosong Sun. 2007. Scalable Term Selection for Text Categorization. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 774–782, Prague, Czech Republic. Association for Computational Linguistics."
learning_language_and_multimodal_privacypreserving_markers_of_mood_from_mobile_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dating_greek_papyri_with_text_regression,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_fast_boostingbased_learner_for_featurerich_tagging_and_chunking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cree_corpus_a_collection_of_nêhiyawêwin_resources,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_dynamic_selection_of_branch_expansion_orders_for_code_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_prototypical_goal_activities_for_locations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sentencelevel_agreement_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
factored_translation_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
finding_syntax_in_human_encephalography_with_beam_search,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modeling_dual_readwrite_paths_for_simultaneous_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_jointly_predict_ellipsis_and_comparison_structures,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
deconfounding_legal_judgment_prediction_for_european_court_of_human_rights_cases_towards_better_alignment_with_experts,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.74,santosh-etal-2022-deconfounding,"Santosh T.y.s.s, Shanshan Xu, Oana Ichim, and Matthias Grabmair. 2022. Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Experts. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1120–1138, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
rngkbqa_generation_augmented_iterative_ranking_for_knowledge_base_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rich_bitext_projection_features_for_parse_reranking,March,2009.0,EACL,https://aclanthology.org/E09-1033,fraser-etal-2009-rich,"Alexander Fraser, Renjing Wang, and Hinrich Schütze. 2009. Rich Bitext Projection Features for Parse Reranking. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 282–290, Athens, Greece. Association for Computational Linguistics."
transforming_meaning_representation_grammars_to_improve_semantic_parsing,August,2008.0,CoNLL,https://aclanthology.org/W08-2105,kate-2008-transforming,"Rohit Kate. 2008. Transforming Meaning Representation Grammars to Improve Semantic Parsing. In CoNLL 2008: Proceedings of the Twelfth Conference on Computational Natural Language Learning, pages 33–40, Manchester, England. Coling 2008 Organizing Committee."
learning_to_generate_equitable_text_in_dialogue_from_biased_training_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
word_embeddings_through_hellinger_pca,April,2014.0,EACL,https://aclanthology.org/E14-1051,lebret-collobert-2014-word,"Rémi Lebret and Ronan Collobert. 2014. Word Embeddings through Hellinger PCA. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 482–490, Gothenburg, Sweden. Association for Computational Linguistics."
attention_and_edgelabel_guided_graph_convolutional_networks_for_named_entity_recognition,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.436,zhou-etal-2022-attention,"Renjie Zhou, Zhongyi Xie, Jian Wan, Jilin Zhang, Yong Liao, and Qiang Liu. 2022. Attention and Edge-Label Guided Graph Convolutional Networks for Named Entity Recognition. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6499–6510, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
marine_variable_linker_exploring_relations_between_changing_variables_in_marine_science_literature,April,2017.0,EACL,https://aclanthology.org/E17-3023,marsi-etal-2017-marine,"Erwin Marsi, Pinar Pinar Øzturk, and Murat V. Ardelan. 2017. Marine Variable Linker: Exploring Relations between Changing Variables in Marine Science Literature. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 91–94, Valencia, Spain. Association for Computational Linguistics."
backward_compatibility_during_data_updates_by_weight_interpolation,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.174,schumann-etal-2024-backward,"Raphael Schumann, Elman Mansimov, Yi-An Lai, Nikolaos Pappas, Xibin Gao, and Yi Zhang. 2024. Backward Compatibility During Data Updates by Weight Interpolation. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2846–2861, St. Julian’s, Malta. Association for Computational Linguistics."
whats_the_latest_a_questiondriven_news_chatbot,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gwlan_general_wordlevel_autocompletion_for_computeraided_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
speculative_contrastive_decoding,August,2024.0,ACL,https://aclanthology.org/2024.acl-short.5,yuan-etal-2024-speculative,"Hongyi Yuan, Keming Lu, Fei Huang, Zheng Yuan, and Chang Zhou. 2024. Speculative Contrastive Decoding. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 56–64, Bangkok, Thailand. Association for Computational Linguistics."
classification_and_clustering_of_arguments_with_contextualized_word_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
temporallyinformed_analysis_of_named_entity_recognition,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.680,rijhwani-preotiuc-pietro-2020-temporally,"Shruti Rijhwani and Daniel Preotiuc-Pietro. 2020. Temporally-Informed Analysis of Named Entity Recognition. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 7605–7617, Online. Association for Computational Linguistics."
annotation_and_automatic_classification_of_aspectual_categories,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lazyk_decoding_constrained_decoding_for_information_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
amesure_a_web_platform_to_assist_the_clear_writing_of_administrative_texts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
babystories_can_reinforcement_learning_teach_baby_language_models_to_write_better_stories,December,2023.0,CoNLL,https://aclanthology.org/2023.conll-babylm.16,zhao-etal-2023-babystories,"Xingmeng Zhao, Tongnian Wang, Sheri Osborn, and Anthony Rios. 2023. BabyStories: Can Reinforcement Learning Teach Baby Language Models to Write Better Stories?. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 186–197, Singapore. Association for Computational Linguistics."
exploiting_multiword_units_in_historybased_probabilistic_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lvpm3_languageaware_visual_prompt_for_multilingual_multimodal_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_economic_tradeoffs_of_large_language_models_a_case_study,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
from_raw_text_to_universal_dependencies__look_no_tags,August,2017.0,CoNLL,https://aclanthology.org/K17-3022,de-lhoneux-etal-2017-raw,"Miryam de Lhoneux, Yan Shao, Ali Basirat, Eliyahu Kiperwasser, Sara Stymne, Yoav Goldberg, and Joakim Nivre. 2017. From Raw Text to Universal Dependencies - Look, No Tags!. In Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 207–217, Vancouver, Canada. Association for Computational Linguistics."
floweval_a_consensusbased_dialogue_evaluation_framework_using_segment_act_flows,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.715,zhao-etal-2022-floweval,"Jianqiao Zhao, Yanyang Li, Wanyu Du, Yangfeng Ji, Dong Yu, Michael Lyu, and Liwei Wang. 2022. FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10469–10483, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
look_harder_a_neural_machine_translation_model_with_hard_attention,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ibadr_an_iterative_biasaware_dataset_refinement_framework_for_debiasing_nlu_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sonlpdp_system_for_conll2016_english_shallow_discourse_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modeling_legal_reasoning_lm_annotation_at_the_edge_of_human_agreement,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multitask_pretraining_for_plugandplay_taskoriented_dialogue_system,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dont_let_discourse_confine_your_model_sequence_perturbations_for_improved_event_language_models,August,2021.0,,https://aclanthology.org/2021.acl-short.76,koupaee-etal-2021-dont,"Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, and Niranjan Balasubramanian. 2021. Don’t Let Discourse Confine Your Model: Sequence Perturbations for Improved Event Language Models. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 599–604, Online. Association for Computational Linguistics."
training_with_adversaries_to_improve_faithfulness_of_attention_in_neural_machine_translation,December,2020.0,AACL,https://aclanthology.org/2020.aacl-srw.14,moradi-etal-2020-training,"Pooya Moradi, Nishant Kambhatla, and Anoop Sarkar. 2020. Training with Adversaries to Improve Faithfulness of Attention in Neural Machine Translation. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: Student Research Workshop, pages 93–100, Suzhou, China. Association for Computational Linguistics."
dependencydriven_relation_extraction_with_attentive_graph_convolutional_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dualsum_a_topicmodel_based_approach_for_update_summarization,April,2012.0,EACL,https://aclanthology.org/E12-1022,delort-alfonseca-2012-dualsum,"Jean-Yves Delort and Enrique Alfonseca. 2012. DualSum: a Topic-Model based approach for update summarization. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 214–223, Avignon, France. Association for Computational Linguistics."
how_to_ask_good_questions_try_to_leverage_paraphrases,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generating_summaries_with_topic_templates_and_structured_convolutional_decoders,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
how_effective_is_bert_without_word_ordering_implications_for_language_understanding_and_data_privacy,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_crosslingual_text_detoxification_with_large_multilingual_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
selfimprovement_of_nonautoregressive_model_via_sequencelevel_distillation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.878,liao-etal-2023-self,"Yusheng Liao, Shuyang Jiang, Yiqi Li, Yu Wang, and Yanfeng Wang. 2023. Self-Improvement of Non-autoregressive Model via Sequence-Level Distillation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 14202–14212, Singapore. Association for Computational Linguistics."
relational_word_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learningbased_named_entity_recognition_for_morphologicallyrich_resourcescarce_languages,March,2009.0,EACL,https://aclanthology.org/E09-1041,hasan-etal-2009-learning,"Kazi Saidul Hasan, Md. Altaf ur Rahman, and Vincent Ng. 2009. Learning-Based Named Entity Recognition for Morphologically-Rich, Resource-Scarce Languages. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 354–362, Athens, Greece. Association for Computational Linguistics."
local_structure_matters_most_in_most_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
arabic_morphology_generation_using_a_concatenative_strategy,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mpcbert_a_pretrained_language_model_for_multiparty_conversation_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multiple_tasks_integration_tagging_syntactic_and_semantic_parsing_as_a_single_task,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.66,bernard-2021-multiple,"Timothée Bernard. 2021. Multiple Tasks Integration: Tagging, Syntactic and Semantic Parsing as a Single Task. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 783–794, Online. Association for Computational Linguistics."
using_secondorder_vectors_in_a_knowledgebased_method_for_acronym_disambiguation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
osscse_overcoming_surface_structure_bias_in_contrastive_learning_for_unsupervised_sentence_embedding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
strudel_structured_dialogue_summarization_for_dialogue_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
samplingbased_approximations_to_minimum_bayes_risk_decoding_for_neural_machine_translation,May 2 - May 7,2004.0,NAACL,https://aclanthology.org/N04-1022,kumar-byrne-2004-minimum,"Shankar Kumar and William Byrne. 2004. Minimum Bayes-Risk Decoding for Statistical Machine Translation. In Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics: HLT-NAACL 2004, pages 169–176, Boston, Massachusetts, USA. Association for Computational Linguistics."
candidate_soups_fusing_candidate_results_improves_translation_quality_for_nonautoregressive_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lifelong_sequence_generation_with_dynamic_module_expansion_and_adaptation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_the_beauty_in_songs_neural_singing_voice_beautifier,May,2022.0,ACL,https://aclanthology.org/2022.acl-long.549,liu-etal-2022-learning-beauty,"Jinglin Liu, Chengxi Li, Yi Ren, Zhiying Zhu, and Zhou Zhao. 2022. Learning the Beauty in Songs: Neural Singing Voice Beautifier. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 7970–7983, Dublin, Ireland. Association for Computational Linguistics."
improving_tokenisation_by_alternative_treatment_of_spaces,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.786,gow-smith-etal-2022-improving,"Edward Gow-Smith, Harish Tayyar Madabushi, Carolina Scarton, and Aline Villavicencio. 2022. Improving Tokenisation by Alternative Treatment of Spaces. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11430–11443, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
demonstration_of_a_neural_machine_translation_system_with_online_learning_for_translators,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dual_slot_selector_via_local_reliability_verification_for_dialogue_state_tracking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
opportunistic_decoding_with_timely_correction_for_simultaneous_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
using_sparse_semantic_embeddings_learned_from_multimodal_text_and_image_data_to_model_human_conceptual_knowledge,October,2018.0,CoNLL,https://aclanthology.org/K18-1026,derby-etal-2018-using,"Steven Derby, Paul Miller, Brian Murphy, and Barry Devereux. 2018. Using Sparse Semantic Embeddings Learned from Multimodal Text and Image Data to Model Human Conceptual Knowledge. In Proceedings of the 22nd Conference on Computational Natural Language Learning, pages 260–270, Brussels, Belgium. Association for Computational Linguistics."
scene_graph_as_pivoting_inferencetime_imagefree_unsupervised_multimodal_machine_translation_with_visual_scene_hallucination,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_topic_quality_by_promoting_named_entities_in_topic_modeling,July,2018.0,ACL,https://aclanthology.org/P18-2040,krasnashchok-jouili-2018-improving,"Katsiaryna Krasnashchok and Salim Jouili. 2018. Improving Topic Quality by Promoting Named Entities in Topic Modeling. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 247–253, Melbourne, Australia. Association for Computational Linguistics."
a_generalpurpose_algorithm_for_constrained_sequential_inference,November,2019.0,CoNLL,https://aclanthology.org/K19-1045,deutsch-etal-2019-general,"Daniel Deutsch, Shyam Upadhyay, and Dan Roth. 2019. A General-Purpose Algorithm for Constrained Sequential Inference. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 482–492, Hong Kong, China. Association for Computational Linguistics."
event_embeddings_for_semantic_script_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dont_parse_choose_spans_continuous_and_discontinuous_constituency_parsing_via_autoregressive_span_selection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dialogue_natural_language_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
beyond_the_granularity_multiperspective_dialogue_collaborative_selection_for_dialogue_state_tracking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
uncovering_divergent_linguistic_information_in_word_embeddings_with_lessons_for_intrinsic_and_extrinsic_evaluation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_gate_crowdsourcing_plugin_crowdsourcing_annotated_corpora_made_easy,April,2014.0,EACL,https://aclanthology.org/E14-2025,bontcheva-etal-2014-gate,"Kalina Bontcheva, Ian Roberts, Leon Derczynski, and Samantha Alexander-Eames. 2014. The GATE Crowdsourcing Plugin: Crowdsourcing Annotated Corpora Made Easy. In Proceedings of the Demonstrations at the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 97–100, Gothenburg, Sweden. Association for Computational Linguistics."
latent_variable_model_for_multimodal_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
overlapbased_vocabulary_generation_improves_crosslingual_transfer_among_related_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
deriving_generalized_knowledge_from_corpora_using_wordnet_abstraction,March,2009.0,EACL,https://aclanthology.org/E09-1092,van-durme-etal-2009-deriving,"Benjamin Van Durme, Phillip Michalak, and Lenhart Schubert. 2009. Deriving Generalized Knowledge from Corpora Using WordNet Abstraction. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 808–816, Athens, Greece. Association for Computational Linguistics."
what_to_read_in_a_contract_partyspecific_summarization_of_legal_obligations_entitlements_and_prohibitions,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.909,sancheti-etal-2023-read,"Abhilasha Sancheti, Aparna Garimella, Balaji Srinivasan, and Rachel Rudinger. 2023. What to Read in a Contract? Party-Specific Summarization of Legal Obligations, Entitlements, and Prohibitions. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 14708–14725, Singapore. Association for Computational Linguistics."
flexible_visual_grounding,May,2022.0,ACL,https://aclanthology.org/2022.acl-srw.22,kim-etal-2022-flexible,"Yongmin Kim, Chenhui Chu, and Sadao Kurohashi. 2022. Flexible Visual Grounding. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 285–299, Dublin, Ireland. Association for Computational Linguistics."
mixedlingual_pretraining_for_crosslingual_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
equipping_language_models_with_tool_use_capability_for_tabular_data_analysis_in_finance,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.10,theuma-shareghi-2024-equipping,"Adrian Theuma and Ehsan Shareghi. 2024. Equipping Language Models with Tool Use Capability for Tabular Data Analysis in Finance. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 90–103, St. Julian’s, Malta. Association for Computational Linguistics."
accelerating_neural_transformer_via_an_average_attention_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generating_long_and_informative_reviews_with_aspectaware_coarsetofine_decoding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
does_your_model_classify_entities_reasonably_diagnosing_and_mitigating_spurious_correlations_in_entity_typing,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.592,xu-etal-2022-model,"Nan Xu, Fei Wang, Bangzheng Li, Mingtao Dong, and Muhao Chen. 2022. Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8642–8658, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
reasoning_with_latent_structure_refinement_for_documentlevel_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
metaphors_in_pretrained_language_models_probing_and_generalization_across_datasets_and_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_model_generalization_a_chinese_named_entity_recognition_case_study,August,2021.0,,https://aclanthology.org/2021.acl-short.125,liang-leung-2021-improving,"Guanqing Liang and Cane Wing-Ki Leung. 2021. Improving Model Generalization: A Chinese Named Entity Recognition Case Study. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 992–997, Online. Association for Computational Linguistics."
hop_union_generate_explainable_multihop_reasoning_without_rationale_supervision,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mute_a_multimodal_dataset_for_detecting_hateful_memes,November,2022.0,,https://aclanthology.org/2022.aacl-srw.5,hossain-etal-2022-mute,"Eftekhar Hossain, Omar Sharif, and Mohammed Moshiul Hoque. 2022. MUTE: A Multimodal Dataset for Detecting Hateful Memes. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: Student Research Workshop, pages 32–39, Online. Association for Computational Linguistics."
large_language_models_meet_openworld_intent_discovery_and_recognition_an_evaluation_of_chatgpt,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
chinese_ner_using_lattice_lstm,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nlprolog_reasoning_with_weak_unification_for_question_answering_in_natural_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
kbest_iterative_viterbi_parsing,April,2017.0,EACL,https://aclanthology.org/E17-2049,hayashi-nagata-2017-k,"Katsuhiko Hayashi and Masaaki Nagata. 2017. K-best Iterative Viterbi Parsing. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 305–310, Valencia, Spain. Association for Computational Linguistics."
art_rule_based_futureinference_deduction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluating_and_improving_the_coreference_capabilities_of_machine_translation_models,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.69,yehudai-etal-2023-evaluating,"Asaf Yehudai, Arie Cattan, Omri Abend, and Gabriel Stanovsky. 2023. Evaluating and Improving the Coreference Capabilities of Machine Translation Models. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 980–992, Dubrovnik, Croatia. Association for Computational Linguistics."
interpretable_and_compositional_relation_learning_by_joint_training_with_an_autoencoder,July,2018.0,ACL,https://aclanthology.org/P18-1200,takahashi-etal-2018-interpretable,"Ryo Takahashi, Ran Tian, and Kentaro Inui. 2018. Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2148–2159, Melbourne, Australia. Association for Computational Linguistics."
finspector_a_humancentered_visual_inspection_tool_for_exploring_and_comparing_biases_among_foundation_models,July,2023.0,ACL,https://aclanthology.org/2023.acl-demo.4,kwon-mihindukulasooriya-2023-finspector,"Bum Chul Kwon and Nandana Mihindukulasooriya. 2023. Finspector: A Human-Centered Visual Inspection Tool for Exploring and Comparing Biases among Foundation Models. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 42–50, Toronto, Canada. Association for Computational Linguistics."
a_pretraining_strategy_for_zeroresource_response_selection_in_knowledgegrounded_conversations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_open_domain_event_trigger_identification_using_adversarial_domain_adaptation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
extracting_relational_facts_by_an_endtoend_neural_model_with_copy_mechanism,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
can_click_patterns_across_users_query_logs_predict_answers_to_definition_questions,April,2012.0,EACL,https://aclanthology.org/E12-1011,figueroa-2012-click,"Alejandro Figueroa. 2012. Can Click Patterns across User’s Query Logs Predict Answers to Definition Questions?. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 99–108, Avignon, France. Association for Computational Linguistics."
composing_simple_image_descriptions_using_webscale_ngrams,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
voiser_a_new_benchmark_for_voicebased_search_refinement,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.197,filice-etal-2021-voiser,"Simone Filice, Giuseppe Castellucci, Marcus Collins, Eugene Agichtein, and Oleg Rokhlenko. 2021. VoiSeR: A New Benchmark for Voice-Based Search Refinement. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2321–2329, Online. Association for Computational Linguistics."
on_the_use_of_comparable_corpora_to_improve_smt_performance,March,2009.0,EACL,https://aclanthology.org/E09-1003,abdul-rauf-schwenk-2009-use,"Sadaf Abdul-Rauf and Holger Schwenk. 2009. On the Use of Comparable Corpora to Improve SMT performance. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 16–23, Athens, Greece. Association for Computational Linguistics."
matinf_a_jointly_labeled_largescale_dataset_for_classification_question_answering_and_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
discriminative_marginalized_probabilistic_neural_method_for_multidocument_summarization_of_medical_literature,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
amr_parsing_as_graph_prediction_with_latent_alignment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_survey_for_efficient_open_domain_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dada_dialect_adaptation_via_dynamic_aggregation_of_linguistic_rules,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
contrastive_learning_with_keywordbased_data_augmentation_for_code_search_and_code_question_answering,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.262,park-etal-2023-contrastive,"Shinwoo Park, Youngwook Kim, and Yo-Sub Han. 2023. Contrastive Learning with Keyword-based Data Augmentation for Code Search and Code Question Answering. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3609–3619, Dubrovnik, Croatia. Association for Computational Linguistics."
memorybased_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
language_models_with_rationality,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_the_generalization_for_intent_classification_and_outofdomain_detection_in_slu,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
amal_meta_knowledgedriven_fewshot_adapter_learning,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.709,hong-jang-2022-amal,"S. K. Hong and Tae Young Jang. 2022. AMAL: Meta Knowledge-Driven Few-Shot Adapter Learning. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10381–10389, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
neuralsymbolic_inference_for_robust_autoregressive_graph_parsing_via_compositional_uncertainty_quantification,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.314,lin-etal-2022-neural,"Zi Lin, Jeremiah Liu, and Jingbo Shang. 2022. Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4759–4776, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
crest_a_joint_framework_for_rationalization_and_counterfactual_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_speech_translation_by_understanding_and_learning_from_the_auxiliary_text_translation_task,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_the_visualness_of_text_using_large_visionlanguage_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_lack_of_theory_is_painful_modeling_harshness_in_peer_review_comments,November,2022.0,,https://aclanthology.org/2022.aacl-main.67,verma-etal-2022-lack,"Rajeev Verma, Rajarshi Roychoudhury, and Tirthankar Ghosal. 2022. The lack of theory is painful: Modeling Harshness in Peer Review Comments. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 925–935, Online only. Association for Computational Linguistics."
exact_hard_monotonic_attention_for_characterlevel_transduction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
how_to_enhance_causal_discrimination_of_utterances_a_case_on_affective_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
characterlevel_translation_with_selfattention,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
which_melbourne_augmenting_geocoding_with_maps,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
every_word_counts_a_multilingual_analysis_of_individual_human_alignment_with_model_attention,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pearl_prompting_large_language_models_to_plan_and_execute_actions_over_long_documents,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_joint_training_of_bilingual_word_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
conqrr_conversational_query_rewriting_for_retrieval_with_reinforcement_learning,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.679,wu-etal-2022-conqrr,"Zeqiu Wu, Yi Luan, Hannah Rashkin, David Reitter, Hannaneh Hajishirzi, Mari Ostendorf, and Gaurav Singh Tomar. 2022. CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10000–10014, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
the_nonutility_of_structural_features_in_bilstmbased_dependency_parsers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
accelerating_sparse_matrix_operations_in_neural_networks_on_graphics_processing_units,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_air_quality_prediction_with_social_media_and_natural_language_processing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
autonlu_an_ondemand_cloudbased_natural_language_understanding_system_for_enterprises,December,2020.0,AACL,https://aclanthology.org/2020.aacl-demo.2,le-etal-2020-autonlu,"Nham Le, Tuan Lai, Trung Bui, and Doo Soon Kim. 2020. AutoNLU: An On-demand Cloud-based Natural Language Understanding System for Enterprises. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: System Demonstrations, pages 8–13, Suzhou, China. Association for Computational Linguistics."
inference_rules_and_their_application_to_recognizing_textual_entailment,March,2009.0,EACL,https://aclanthology.org/E09-1025,dinu-wang-2009-inference,"Georgiana Dinu and Rui Wang. 2009. Inference Rules and their Application to Recognizing Textual Entailment. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 211–219, Athens, Greece. Association for Computational Linguistics."
type_level_clustering_evaluation_new_measures_and_a_pos_induction_case_study,July,2010.0,CoNLL,https://aclanthology.org/W10-2911,reichart-etal-2010-type,"Roi Reichart, Omri Abend, and Ari Rappoport. 2010. Type Level Clustering Evaluation: New Measures and a POS Induction Case Study. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning, pages 77–87, Uppsala, Sweden. Association for Computational Linguistics."
integrating_language_models_into_direct_speech_translation_an_inferencetime_solution_to_control_gender_inflection,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.705,fucci-etal-2023-integrating,"Dennis Fucci, Marco Gaido, Sara Papi, Mauro Cettolo, Matteo Negri, and Luisa Bentivogli. 2023. Integrating Language Models into Direct Speech Translation: An Inference-Time Solution to Control Gender Inflection. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11505–11517, Singapore. Association for Computational Linguistics."
beyond_accuracy_behavioral_testing_of_nlp_models_with_checklist,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fadx_fusing_adapters_for_crosslingual_transfer_to_lowresource_languages,March,2024.0,,https://aclanthology.org/2024.moomin-1.4,kunz-holmstrom-2024-impact,"Jenny Kunz and Oskar Holmström. 2024. The Impact of Language Adapters in Cross-Lingual Transfer for NLU. In Proceedings of the 1st Workshop on Modular and Open Multilingual NLP (MOOMIN 2024), pages 24–43, St Julians, Malta. Association for Computational Linguistics."
learning_to_discover_ground_and_use_words_with_segmental_neural_language_models,July,2019.0,ACL,https://aclanthology.org/P19-1645,kawakami-etal-2019-learning,"Kazuya Kawakami, Chris Dyer, and Phil Blunsom. 2019. Learning to Discover, Ground and Use Words with Segmental Neural Language Models. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 6429–6441, Florence, Italy. Association for Computational Linguistics."
a_joint_neural_model_for_information_extraction_with_global_features,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.713,lin-etal-2020-joint,"Ying Lin, Heng Ji, Fei Huang, and Lingfei Wu. 2020. A Joint Neural Model for Information Extraction with Global Features. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 7999–8009, Online. Association for Computational Linguistics."
biset_bidirectional_selective_encoding_with_template_for_abstractive_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
language_models_as_inductive_reasoners,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
life_is_a_circus_and_we_are_the_clowns_automatically_finding_analogies_between_situations_and_processes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
interventional_training_for_outofdistribution_natural_language_understanding,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.799,yu-etal-2022-interventional,"Sicheng Yu, Jing Jiang, Hao Zhang, Yulei Niu, Qianru Sun, and Lidong Bing. 2022. Interventional Training for Out-Of-Distribution Natural Language Understanding. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11627–11638, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
food_knowledge_representation_learning_with_adversarial_substitution,November,2022.0,,https://aclanthology.org/2022.aacl-main.50,li-zaki-2022-food,"Diya Li and Mohammed J Zaki. 2022. Food Knowledge Representation Learning with Adversarial Substitution. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 653–664, Online only. Association for Computational Linguistics."
redistributing_lowfrequency_words_making_the_most_of_monolingual_data_in_nonautoregressive_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_walkbased_model_on_entity_graphs_for_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
feta_a_benchmark_for_fewsample_task_transfer_in_opendomain_dialogue,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_multitask_learning_approach_for_diacritic_restoration,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
story_centaur_large_language_model_few_shot_learning_as_a_creative_writing_tool,April,2021.0,EACL,https://aclanthology.org/2021.eacl-demos.29,swanson-etal-2021-story,"Ben Swanson, Kory Mathewson, Ben Pietrzak, Sherol Chen, and Monica Dinalescu. 2021. Story Centaur: Large Language Model Few Shot Learning as a Creative Writing Tool. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 244–256, Online. Association for Computational Linguistics."
towards_finegrained_text_sentiment_transfer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
word_error_rate_estimation_for_speech_recognition_ewer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
inferring_semantic_roles_using_subcategorization_frames_and_maximum_entropy_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tblimproved_nondeterministic_segmentation_and_pos_tagging_for_a_chinese_parser,March,2009.0,EACL,https://aclanthology.org/E09-1031,forst-fang-2009-tbl,"Martin Forst and Ji Fang. 2009. TBL-Improved Non-Deterministic Segmentation and POS Tagging for a Chinese Parser. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 264–272, Athens, Greece. Association for Computational Linguistics."
knowing_the_nomatch_entity_alignment_with_dangling_cases,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_selftraining_for_crosslingual_named_entity_recognition_with_contrastive_and_prototype_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
quest_a_retrieval_dataset_of_entityseeking_queries_with_implicit_set_operations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
summedits_measuring_llm_ability_at_factual_reasoning_through_the_lens_of_summarization,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.600,laban-etal-2023-summedits,"Philippe Laban, Wojciech Kryscinski, Divyansh Agarwal, Alexander Fabbri, Caiming Xiong, Shafiq Joty, and Chien-Sheng Wu. 2023. SummEdits: Measuring LLM Ability at Factual Reasoning Through The Lens of Summarization. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 9662–9676, Singapore. Association for Computational Linguistics."
dont_mess_with_misterinbetween_improved_negative_search_for_knowledge_graph_completion,August,2024.0,ACL,https://aclanthology.org/2024.acl-long.787,kallini-etal-2024-mission,"Julie Kallini, Isabel Papadimitriou, Richard Futrell, Kyle Mahowald, and Christopher Potts. 2024. Mission: Impossible Language Models. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 14691–14714, Bangkok, Thailand. Association for Computational Linguistics."
transferable_and_efficient_unifying_dynamic_multidomain_product_categorization,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.46,gong-etal-2023-transferable,"Shansan Gong, Zelin Zhou, Shuo Wang, Fengjiao Chen, Xiujie Song, Xuezhi Cao, Yunsen Xian, and Kenny Zhu. 2023. Transferable and Efficient: Unifying Dynamic Multi-Domain Product Categorization. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 476–486, Toronto, Canada. Association for Computational Linguistics."
petals_collaborative_inference_and_finetuning_of_large_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gammae_gamma_embeddings_for_logical_queries_on_knowledge_graphs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multimodal_affective_analysis_using_hierarchical_attention_strategy_with_wordlevel_alignment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sentirec_sentiment_diversityaware_neural_news_recommendation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
halueval_a_largescale_hallucination_evaluation_benchmark_for_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semface_pretraining_encoder_and_decoder_with_a_semantic_interface_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
measuring_and_mitigating_name_biases_in_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_spanbased_multimodal_variational_autoencoder_for_semisupervised_multimodal_named_entity_recognition,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.422,zhou-etal-2022-span,"Baohang Zhou, Ying Zhang, Kehui Song, Wenya Guo, Guoqing Zhao, Hongbin Wang, and Xiaojie Yuan. 2022. A Span-based Multimodal Variational Autoencoder for Semi-supervised Multimodal Named Entity Recognition. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6293–6302, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
a_review_of_crossdomain_texttosql_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
agreement_prediction_of_arguments_in_cyber_argumentation_for_detecting_stance_polarity_and_intensity,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_authorship_attribution_by_utilizing_syntax_tree_profiles,April,2014.0,EACL,https://aclanthology.org/E14-4038,tschuggnall-specht-2014-enhancing,"Michael Tschuggnall and Günther Specht. 2014. Enhancing Authorship Attribution By Utilizing Syntax Tree Profiles. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 195–199, Gothenburg, Sweden. Association for Computational Linguistics."
back_transcription_as_a_method_for_evaluating_robustness_of_natural_language_understanding_models_to_speech_recognition_errors,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.724,kubis-etal-2023-back,"Marek Kubis, Paweł Skórzewski, Marcin Sowański, and Tomasz Zietkiewicz. 2023. Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11824–11835, Singapore. Association for Computational Linguistics."
how_much_complexity_does_an_rnn_architecture_need_to_learn_syntaxsensitive_dependencies,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
clireval_evaluating_machine_translation_as_a_crosslingual_information_retrieval_task,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
language_independent_probabilistic_contextfree_parsing_bolstered_by_machine_learning,June,2006.0,CoNLL,https://aclanthology.org/W06-2935,schiehlen-spranger-2006-language,"Michael Schiehlen and Kristina Spranger. 2006. Language Independent Probabilistic Context-Free Parsing Bolstered by Machine Learning. In Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X), pages 231–235, New York City. Association for Computational Linguistics."
is_the_brain_mechanism_for_hierarchical_structure_building_universal_across_languages_an_fmri_study_of_chinese_and_english,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
continual_named_entity_recognition_without_catastrophic_forgetting,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
logicdriven_indirect_supervision_an_application_to_crisis_counseling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
facilitating_terminology_translation_with_target_lemma_annotations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
stacl_simultaneous_translation_with_implicit_anticipation_and_controllable_latency_using_prefixtoprefix_framework,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_multimodal_context_reasoning_approach_for_conditional_inference_on_joint_textual_and_visual_clues,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
m2d2_a_massively_multidomain_language_modeling_dataset,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neuinfer_knowledge_inference_on_nary_facts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modeling_multihop_question_answering_as_single_sequence_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_clusterbased_approach_for_improving_isotropy_in_contextual_embedding_space,August,2021.0,,https://aclanthology.org/2021.acl-short.73,rajaee-pilehvar-2021-cluster,"Sara Rajaee and Mohammad Taher Pilehvar. 2021. A Cluster-based Approach for Improving Isotropy in Contextual Embedding Space. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 575–584, Online. Association for Computational Linguistics."
prefix_lexicalization_of_synchronous_cfgs_using_synchronous_tag,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multiemo_an_attentionbased_correlationaware_multimodal_fusion_framework_for_emotion_recognition_in_conversations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hypergraph_transformer_weaklysupervised_multihop_reasoning_for_knowledgebased_visual_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
summvd__an_efficient_approach_for_unsupervised_topicbased_text_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_medical_named_entity_recognition_with_features_derived_from_unsupervised_methods,April,2014.0,EACL,https://aclanthology.org/E14-3003,skeppstedt-2014-enhancing,"Maria Skeppstedt. 2014. Enhancing Medical Named Entity Recognition with Features Derived from Unsupervised Methods. In Proceedings of the Student Research Workshop at the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 21–30, Gothenburg, Sweden. Association for Computational Linguistics."
lattice_parsing_to_integrate_speech_recognition_and_rulebased_machine_translation,March,2009.0,EACL,https://aclanthology.org/E09-1054,kopru-yazici-2009-lattice,"Selçuk Köprü and Adnan Yazıcı. 2009. Lattice Parsing to Integrate Speech Recognition and Rule-Based Machine Translation. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 469–477, Athens, Greece. Association for Computational Linguistics."
harnessing_the_linguistic_signal_to_predict_scalar_inferences,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mmdialog_a_largescale_multiturn_dialogue_dataset_towards_multimodal_opendomain_conversation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_hierarchical_reinforced_sequence_operation_method_for_unsupervised_text_style_transfer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lingcl_understanding_nlp_models_through_linguistic_curricula,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
verifyandedit_a_knowledgeenhanced_chainofthought_framework,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
detecting_hedge_cues_and_their_scopes_with_average_perceptron,July,2010.0,CoNLL,https://aclanthology.org/W10-3005,ji-etal-2010-detecting,"Feng Ji, Xipeng Qiu, and Xuanjing Huang. 2010. Detecting Hedge Cues and their Scopes with Average Perceptron. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task, pages 32–39, Uppsala, Sweden. Association for Computational Linguistics."
prompt_conditioned_vae_enhancing_generative_replay_for_lifelong_learning_in_taskoriented_dialogue,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.766,zhao-etal-2022-prompt,"Yingxiu Zhao, Yinhe Zheng, Zhiliang Tian, Chang Gao, Jian Sun, and Nevin L. Zhang. 2022. Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11153–11169, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
conditional_augmentation_for_aspect_term_extraction_via_masked_sequencetosequence_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
recurrent_chunking_mechanisms_for_longtext_machine_reading_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
littlebird_efficient_faster__longer_transformer_for_question_answering,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.352,lee-etal-2022-littlebird,"Minchul Lee, Kijong Han, and Myeong Cheol Shin. 2022. LittleBird: Efficient Faster & Longer Transformer for Question Answering. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5261–5277, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
exploiting_shallow_linguistic_information_for_relation_extraction_from_biomedical_literature,April,2006.0,EACL,https://aclanthology.org/E06-1051,giuliano-etal-2006-exploiting,"Claudio Giuliano, Alberto Lavelli, and Lorenza Romano. 2006. Exploiting Shallow Linguistic Information for Relation Extraction from Biomedical Literature. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 401–408, Trento, Italy. Association for Computational Linguistics."
multiagent_communication_meets_natural_language_synergies_between_functional_and_structural_language_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
prewome_exploiting_presuppositions_as_working_memory_for_long_form_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
combining_lexical_and_syntactic_features_for_supervised_word_sense_disambiguation,May 6 - May 7,2004.0,CoNLL,https://aclanthology.org/W04-2404,mohammad-pedersen-2004-combining,"Saif Mohammad and Ted Pedersen. 2004. Combining Lexical and Syntactic Features for Supervised Word Sense Disambiguation. In Proceedings of the Eighth Conference on Computational Natural Language Learning (CoNLL-2004) at HLT-NAACL 2004, pages 25–32, Boston, Massachusetts, USA. Association for Computational Linguistics."
on_exposure_bias_hallucination_and_domain_shift_in_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_label_search_for_zeroshot_multilingual_extractive_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
can_language_models_be_tricked_by_language_illusions_easier_with_syntax_harder_with_semantics,December,2023.0,CoNLL,https://aclanthology.org/2023.conll-1.1,zhang-etal-2023-language,"Yuhan Zhang, Edward Gibson, and Forrest Davis. 2023. Can Language Models Be Tricked by Language Illusions? Easier with Syntax, Harder with Semantics. In Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL), pages 1–14, Singapore. Association for Computational Linguistics."
retrieveandfill_for_scenariobased_taskoriented_semantic_parsing,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.32,shrivastava-etal-2023-retrieve,"Akshat Shrivastava, Shrey Desai, Anchit Gupta, Ali Elkahky, Aleksandr Livshits, Alexander Zotov, and Ahmed Aly. 2023. Retrieve-and-Fill for Scenario-based Task-Oriented Semantic Parsing. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 430–447, Dubrovnik, Croatia. Association for Computational Linguistics."
tickettalk_toward_humanlevel_performance_with_endtoend_transactionbased_dialog_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
contextual_phraselevel_polarity_analysis_using_lexical_affect_scoring_and_syntactic_ngrams,March,2009.0,EACL,https://aclanthology.org/E09-1004,agarwal-etal-2009-contextual,"Apoorv Agarwal, Fadi Biadsy, and Kathleen R. McKeown. 2009. Contextual Phrase-Level Polarity Analysis Using Lexical Affect Scoring and Syntactic N-Grams. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 24–32, Athens, Greece. Association for Computational Linguistics."
improving_time_sensitivity_for_question_answering_over_temporal_knowledge_graphs,May,2022.0,ACL,https://aclanthology.org/2022.acl-long.552,shang-etal-2022-improving,"Chao Shang, Guangtao Wang, Peng Qi, and Jing Huang. 2022. Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 8017–8026, Dublin, Ireland. Association for Computational Linguistics."
sensebert_driving_some_sense_into_bert,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatically_generated_customizable_online_dictionaries,April,2012.0,EACL,https://aclanthology.org/E12-2011,heja-takacs-2012-automatically,"Enikő Héja and Dávid Takács. 2012. Automatically Generated Customizable Online Dictionaries. In Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 51–57, Avignon, France. Association for Computational Linguistics."
improving_lowresource_languages_in_pretrained_multilingual_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tell2design_a_dataset_for_languageguided_floor_plan_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_knowledge_graph_completion_with_languagesensitive_multigraph_attention,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gate_teamware_2_an_opensource_tool_for_collaborative_document_classification_annotation,May,2023.0,EACL,https://aclanthology.org/2023.eacl-demo.17,wilby-etal-2023-gate,"David Wilby, Twin Karmakharm, Ian Roberts, Xingyi Song, and Kalina Bontcheva. 2023. GATE Teamware 2: An open-source tool for collaborative document classification annotation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 145–151, Dubrovnik, Croatia. Association for Computational Linguistics."
sp10k_a_largescale_evaluation_set_for_selectional_preference_acquisition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
racais_natural_language_processing_pipeline_for_universal_dependencies,August,2017.0,CoNLL,https://aclanthology.org/K17-3018,dumitrescu-etal-2017-racais,"Stefan Daniel Dumitrescu, Tiberiu Boros, and Dan Tufis. 2017. RACAI’s Natural Language Processing pipeline for Universal Dependencies. In Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 174–181, Vancouver, Canada. Association for Computational Linguistics."
evaluating_distributional_models_of_semantics_for_syntactically_invariant_inference,April,2012.0,EACL,https://aclanthology.org/E12-1005,cheung-penn-2012-evaluating,"Jackie Chi Kit Cheung and Gerald Penn. 2012. Evaluating Distributional Models of Semantics for Syntactically Invariant Inference. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 33–43, Avignon, France. Association for Computational Linguistics."
generative_entity_typing_with_curriculum_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_lifted_matrixspace_model_for_semantic_composition,October,2018.0,CoNLL,https://aclanthology.org/K18-1049,chung-etal-2018-lifted,"WooJin Chung, Sheng-Fu Wang, and Samuel Bowman. 2018. The Lifted Matrix-Space Model for Semantic Composition. In Proceedings of the 22nd Conference on Computational Natural Language Learning, pages 508–518, Brussels, Belgium. Association for Computational Linguistics."
an_improved_neural_network_model_for_joint_pos_tagging_and_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semisupervised_text_classification_with_balanced_deep_representation_distributions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
probabilistic_inference_for_cold_start_knowledge_base_population_with_prior_world_knowledge,April,2017.0,EACL,https://aclanthology.org/E17-1057,min-etal-2017-probabilistic,"Bonan Min, Marjorie Freedman, and Talya Meltzer. 2017. Probabilistic Inference for Cold Start Knowledge Base Population with Prior World Knowledge. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 601–612, Valencia, Spain. Association for Computational Linguistics."
structural_characterization_for_dialogue_disentanglement,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_statistical_spoken_dialogue_system_using_complex_user_goals_and_value_directed_compression,April,2012.0,EACL,https://aclanthology.org/E12-2010,crook-etal-2012-statistical,"Paul A. Crook, Zhuoran Wang, Xingkun Liu, and Oliver Lemon. 2012. A Statistical Spoken Dialogue System using Complex User Goals and Value Directed Compression. In Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 46–50, Avignon, France. Association for Computational Linguistics."
online_active_learning_for_cost_sensitive_domain_adaptation,August,2013.0,CoNLL,https://aclanthology.org/W13-3501,xiao-guo-2013-online,"Min Xiao and Yuhong Guo. 2013. Online Active Learning for Cost Sensitive Domain Adaptation. In Proceedings of the Seventeenth Conference on Computational Natural Language Learning, pages 1–9, Sofia, Bulgaria. Association for Computational Linguistics."
robust_neural_machine_translation_with_doubly_adversarial_inputs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
distilling_causal_effect_from_miscellaneous_otherclass_for_continual_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
distributionally_robust_finetuning_bert_for_covariate_drift_in_spoken_language_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_llms_are_better_crosslingual_incontext_learners_with_alignment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rethinking_selfsupervision_objectives_for_generalizable_coherence_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
analyzing_optimization_for_statistical_machine_translation_mert_learns_verbosity_pro_learns_length,July,2015.0,CoNLL,https://aclanthology.org/K15-1007,guzman-etal-2015-analyzing,"Francisco Guzmán, Preslav Nakov, and Stephan Vogel. 2015. Analyzing Optimization for Statistical Machine Translation: MERT Learns Verbosity, PRO Learns Length. In Proceedings of the Nineteenth Conference on Computational Natural Language Learning, pages 62–72, Beijing, China. Association for Computational Linguistics."
selfdistilled_quantization_achieving_high_compression_rates_in_transformerbased_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_when_to_translate_for_streaming_speech,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
consistent_translation_of_repeated_nouns_using_syntactic_and_semantic_cues,April,2017.0,EACL,https://aclanthology.org/E17-1089,pu-etal-2017-consistent,"Xiao Pu, Laura Mascarell, and Andrei Popescu-Belis. 2017. Consistent Translation of Repeated Nouns using Syntactic and Semantic Cues. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 948–957, Valencia, Spain. Association for Computational Linguistics."
efficient_online_scalar_annotation_with_bounded_support,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_entity_boundary_detection_for_better_chinese_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_open_dataset_and_model_for_language_identification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
retrieve_and_copy_scaling_asr_personalization_to_large_catalogs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_singledocument_summarization_by_combining_ranknet_and_thirdparty_sources,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
em_works_for_pronoun_anaphora_resolution,March,2009.0,EACL,https://aclanthology.org/E09-1018,charniak-elsner-2009-em,"Eugene Charniak and Micha Elsner. 2009. EM Works for Pronoun Anaphora Resolution. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 148–156, Athens, Greece. Association for Computational Linguistics."
interactive_feature_space_construction_using_semantic_information,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_relation_between_position_information_and_sentence_length_in_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
compguesswhat_a_multitask_evaluation_framework_for_grounded_language_learning,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.682,suglia-etal-2020-compguesswhat,"Alessandro Suglia, Ioannis Konstas, Andrea Vanzo, Emanuele Bastianelli, Desmond Elliott, Stella Frank, and Oliver Lemon. 2020. CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 7625–7641, Online. Association for Computational Linguistics."
curriculum_knowledge_distillation_for_emojisupervised_crosslingual_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
topic_models__word_alignment__a_flexible_framework_for_extracting_bilingual_dictionary_from_comparable_corpus,August,2013.0,CoNLL,https://aclanthology.org/W13-3523,liu-etal-2013-topic,"Xiaodong Liu, Kevin Duh, and Yuji Matsumoto. 2013. Topic Models + Word Alignment = A Flexible Framework for Extracting Bilingual Dictionary from Comparable Corpus. In Proceedings of the Seventeenth Conference on Computational Natural Language Learning, pages 212–221, Sofia, Bulgaria. Association for Computational Linguistics."
teluguner_leveraging_multidomain_named_entity_recognition_with_deep_transformers,May,2022.0,ACL,https://aclanthology.org/2022.acl-srw.20,duggenpudi-etal-2022-teluguner,"Suma Reddy Duggenpudi, Subba Reddy Oota, Mounika Marreddy, and Radhika Mamidi. 2022. TeluguNER: Leveraging Multi-Domain Named Entity Recognition with Deep Transformers. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 262–272, Dublin, Ireland. Association for Computational Linguistics."
metaheuristic_approaches_to_lexical_substitution_and_simplification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
domain_adaptation_with_adversarial_training_and_graph_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_finegrained_classification_of_climate_change_related_social_media_text,May,2022.0,ACL,https://aclanthology.org/2022.acl-srw.35,vaid-etal-2022-towards,"Roopal Vaid, Kartikey Pant, and Manish Shrivastava. 2022. Towards Fine-grained Classification of Climate Change related Social Media Text. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 434–443, Dublin, Ireland. Association for Computational Linguistics."
bcth_a_novel_text_hashing_approach_via_bayesian_clustering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
parallel_context_windows_for_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
training_dynamics_for_curriculum_learning_a_study_on_monolingual_and_crosslingual_nlu,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_sampleefficient_code_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pretrained_transformers_improve_outofdistribution_robustness,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
i_object_modeling_latent_pragmatic_effects_in_courtroom_dialogues,April,2014.0,EACL,https://aclanthology.org/E14-1069,goldwasser-daume-iii-2014-object,"Dan Goldwasser and Hal Daumé III. 2014. “I Object!” Modeling Latent Pragmatic Effects in Courtroom Dialogues. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 655–663, Gothenburg, Sweden. Association for Computational Linguistics."
ensembling_and_knowledge_distilling_of_large_sequence_taggers_for_grammatical_error_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_imagine_integrating_counterfactual_thinking_in_neural_discrete_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dynamic_graph_transformer_for_implicit_tag_recognition,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.122,liou-etal-2021-dynamic,"Yi-Ting Liou, Chung-Chi Chen, Hen-Hsen Huang, and Hsin-Hsi Chen. 2021. Dynamic Graph Transformer for Implicit Tag Recognition. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1426–1431, Online. Association for Computational Linguistics."
discup_discriminator_cooperative_unlikelihood_prompttuning_for_controllable_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
revisiting_pretrained_language_models_and_their_evaluation_for_arabic_natural_language_processing,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.205,ghaddar-etal-2022-revisiting,"Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, Ahmad Rashid, Khalil Bibi, Mehdi Rezagholizadeh, Chao Xing, Yasheng Wang, Xinyu Duan, Zhefeng Wang, Baoxing Huai, Xin Jiang, Qun Liu, and Phillippe Langlais. 2022. Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Processing. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3135–3151, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
distantly_supervised_named_entity_recognition_using_positiveunlabeled_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
beyond_noise_mitigating_the_impact_of_finegrained_semantic_divergences_on_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
opentopic_false_information_detection_on_social_networks_with_contrastive_adversarial_learning,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.188,ma-etal-2022-open-topic,"Guanghui Ma, Chunming Hu, Ling Ge, and Hong Zhang. 2022. Open-Topic False Information Detection on Social Networks with Contrastive Adversarial Learning. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 2911–2923, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
infinite_scan_an_infinite_model_of_diachronic_semantic_change,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
machine_translation_of_very_close_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
clip4idc_clip_for_image_difference_captioning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
xtremedistil_multistage_distillation_for_massive_multilingual_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
can_monolingual_pretrained_models_help_crosslingual_classification,December,2020.0,AACL,https://aclanthology.org/2020.aacl-main.2,chi-etal-2020-monolingual,"Zewen Chi, Li Dong, Furu Wei, Xianling Mao, and Heyan Huang. 2020. Can Monolingual Pretrained Models Help Cross-Lingual Classification?. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, pages 12–17, Suzhou, China. Association for Computational Linguistics."
graph_enhanced_contrastive_learning_for_radiology_findings_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
metavl_transferring_incontext_learning_ability_from_language_models_to_visionlanguage_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
revealing_weaknesses_of_vietnamese_language_models_through_unanswerable_questions_in_machine_reading_comprehension,May,2023.0,EACL,https://aclanthology.org/2023.eacl-srw.1,tran-etal-2023-revealing,"Son Quoc Tran, Phong Nguyen-Thuan Do, Kiet Van Nguyen, and Ngan Luu-Thuy Nguyen. 2023. Revealing Weaknesses of Vietnamese Language Models Through Unanswerable Questions in Machine Reading Comprehension. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 1–13, Dubrovnik, Croatia. Association for Computational Linguistics."
largescale_label_interpretation_learning_for_fewshot_named_entity_recognition,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.178,golde-etal-2024-large,"Jonas Golde, Felix Hamborg, and Alan Akbik. 2024. Large-Scale Label Interpretation Learning for Few-Shot Named Entity Recognition. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2915–2930, St. Julian’s, Malta. Association for Computational Linguistics."
scalable_and_safe_remediation_of_defective_actions_in_selflearning_conversational_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
breaking_down_walls_of_text_how_can_nlp_benefit_consumer_privacy,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nonautoregressive_streaming_transformer_for_simultaneous_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
brainteaser_lateral_thinking_puzzles_for_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
investigation_on_data_adaptation_techniques_for_neural_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
finetuning_pretrained_transformer_language_models_to_distantly_supervised_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_adaptive_prefix_tuning_for_parameterefficient_language_model_finetuning,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.107,zhang-etal-2023-towards-adaptive,"Zhen-Ru Zhang, Chuanqi Tan, Haiyang Xu, Chengyu Wang, Jun Huang, and Songfang Huang. 2023. Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1239–1248, Toronto, Canada. Association for Computational Linguistics."
document_translation_vs_query_translation_for_crosslingual_information_retrieval_in_the_medical_domain,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sociofillmore_a_tool_for_discovering_perspectives,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hooks_in_the_headline_learning_to_generate_headlines_with_controlled_styles,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pretrained_bidirectional_distillation_for_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
single_malt_or_blended_a_study_in_multilingual_parser_optimization,June,2007.0,,https://aclanthology.org/D07-1097,hall-etal-2007-single,"Johan Hall, Jens Nilsson, Joakim Nivre, Gülşen Eryiǧit, Beáta Megyesi, Mattias Nilsson, and Markus Saers. 2007. Single Malt or Blended? A Study in Multilingual Parser Optimization. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 933–939, Prague, Czech Republic. Association for Computational Linguistics."
neural_mixed_counting_models_for_dispersed_topic_discovery,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
no_error_left_behind_multilingual_grammatical_error_correction_with_pretrained_translation_models,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.73,luhtaru-etal-2024-error,"Agnes Luhtaru, Elizaveta Korotkova, and Mark Fishel. 2024. No Error Left Behind: Multilingual Grammatical Error Correction with Pre-trained Translation Models. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1209–1222, St. Julian’s, Malta. Association for Computational Linguistics."
language_models_of_code_are_fewshot_commonsense_learners,November,2021.0,MRL,https://aclanthology.org/2021.mrl-1.1,winata-etal-2021-language,"Genta Indra Winata, Andrea Madotto, Zhaojiang Lin, Rosanne Liu, Jason Yosinski, and Pascale Fung. 2021. Language Models are Few-shot Multilingual Learners. In Proceedings of the 1st Workshop on Multilingual Representation Learning, pages 1–15, Punta Cana, Dominican Republic. Association for Computational Linguistics."
observing_dialogue_in_therapy_categorizing_and_forecasting_behavioral_codes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neuralclassifier_an_opensource_neural_hierarchical_multilabel_text_classification_toolkit,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
diverse_pretrained_context_encodings_improve_document_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
how_many_layers_and_why_an_analysis_of_the_model_depth_in_transformers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_neural_machine_translation_with_deep_encoder_and_multiple_shallow_decoders,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.138,kong-etal-2021-multilingual,"Xiang Kong, Adithya Renduchintala, James Cross, Yuqing Tang, Jiatao Gu, and Xian Li. 2021. Multilingual Neural Machine Translation with Deep Encoder and Multiple Shallow Decoders. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1613–1624, Online. Association for Computational Linguistics."
controllable_dictionary_example_generation_generating_example_sentences_for_specific_targeted_audiences,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
maskalign_selfsupervised_neural_word_alignment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
word_segmentation_as_general_chunking,June,2011.0,CoNLL,https://aclanthology.org/W11-0305,hewlett-cohen-2011-word,"Daniel Hewlett and Paul Cohen. 2011. Word Segmentation as General Chunking. In Proceedings of the Fifteenth Conference on Computational Natural Language Learning, pages 39–47, Portland, Oregon, USA. Association for Computational Linguistics."
adapterfusion_nondestructive_task_composition_for_transfer_learning,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.39,pfeiffer-etal-2021-adapterfusion,"Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, Kyunghyun Cho, and Iryna Gurevych. 2021. AdapterFusion: Non-Destructive Task Composition for Transfer Learning. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 487–503, Online. Association for Computational Linguistics."
aredsum_adaptive_redundancyaware_iterative_sentence_ranking_for_extractive_document_summarization,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.22,bi-etal-2021-aredsum,"Keping Bi, Rahul Jha, Bruce Croft, and Asli Celikyilmaz. 2021. AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 281–291, Online. Association for Computational Linguistics."
better_character_language_modeling_through_morphology,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dianed_timeaware_named_entity_disambiguation_for_diachronic_corpora,July,2018.0,ACL,https://aclanthology.org/P18-2109,agarwal-etal-2018-dianed,"Prabal Agarwal, Jannik Strötgen, Luciano del Corro, Johannes Hoffart, and Gerhard Weikum. 2018. diaNED: Time-Aware Named Entity Disambiguation for Diachronic Corpora. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 686–693, Melbourne, Australia. Association for Computational Linguistics."
llamafactory_unified_efficient_finetuning_of_100_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
measuring_and_increasing_context_usage_in_contextaware_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
stereorel_relational_triple_extraction_from_a_stereoscopic_perspective,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tdparse_multitargetspecific_sentiment_recognition_on_twitter,April,2017.0,EACL,https://aclanthology.org/E17-1046,wang-etal-2017-tdparse,"Bo Wang, Maria Liakata, Arkaitz Zubiaga, and Rob Procter. 2017. TDParse: Multi-target-specific sentiment recognition on Twitter. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 483–493, Valencia, Spain. Association for Computational Linguistics."
an_empirical_study_on_computing_consensus_translations_from_multiple_machine_translation_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
spanbased_localizing_network_for_natural_language_video_localization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_and_simplifying_templatebased_named_entity_recognition,May,2023.0,EACL,https://aclanthology.org/2023.eacl-srw.8,kondragunta-etal-2023-improving,"Murali Kondragunta, Olatz Perez-de-Viñaspre, and Maite Oronoz. 2023. Improving and Simplifying Template-Based Named Entity Recognition. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 79–86, Dubrovnik, Croatia. Association for Computational Linguistics."
uparse_the_edinburgh_system_for_the_conll_2017_ud_shared_task,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
analyzing_cognitive_plausibility_of_subword_tokenization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
explainaboard_an_explainable_leaderboard_for_nlp,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
metaassist_robust_dialogue_state_tracking_with_meta_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
give_me_more_feedback_ii_annotating_thesis_strength_and_related_attributes_in_student_essays,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
linguistic_constructs_represent_the_domain_model_in_intelligent_language_tutoring,May,2023.0,EACL,https://aclanthology.org/2023.eacl-demo.16,katinskaia-etal-2023-linguistic,"Anisia Katinskaia, Jue Hou, Anh-duc Vu, and Roman Yangarber. 2023. Linguistic Constructs Represent the Domain Model in Intelligent Language Tutoring. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 136–144, Dubrovnik, Croatia. Association for Computational Linguistics."
leveraging_meta_information_in_short_text_aggregation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
centering_the_margins_outlierbased_identification_of_harmed_populations_in_toxicity_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
quantifying_attention_flow_in_transformers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
which_one_are_you_referring_to_multimodal_object_identification_in_situated_dialogue,May,2023.0,EACL,https://aclanthology.org/2023.eacl-srw.6,lovenia-etal-2023-one,"Holy Lovenia, Samuel Cahyawijaya, and Pascale Fung. 2023. Which One Are You Referring To? Multimodal Object Identification in Situated Dialogue. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 61–72, Dubrovnik, Croatia. Association for Computational Linguistics."
mobilenmt_enabling_translation_in_15mb_and_30ms,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.36,lin-etal-2023-mobilenmt,"Ye Lin, Xiaohui Wang, Zhexi Zhang, Mingxuan Wang, Tong Xiao, and Jingbo Zhu. 2023. MobileNMT: Enabling Translation in 15MB and 30ms. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 368–378, Toronto, Canada. Association for Computational Linguistics."
structured_prediction_models_via_the_matrixtree_theorem,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lesa_linguistic_encapsulation_and_semantic_amalgamation_based_generalised_claim_detection_from_online_content,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.277,gupta-etal-2021-lesa,"Shreya Gupta, Parantak Singh, Megha Sundriyal, Md. Shad Akhtar, and Tanmoy Chakraborty. 2021. LESA: Linguistic Encapsulation and Semantic Amalgamation Based Generalised Claim Detection from Online Content. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3178–3188, Online. Association for Computational Linguistics."
improved_lexical_alignment_by_combining_multiple_reified_alignments,April,2006.0,EACL,https://aclanthology.org/E06-1020,tufis-etal-2006-improved,"Dan Tufiş, Radu Ion, Alexandru Ceauşu, and Dan Ştefănescu. 2006. Improved Lexical Alignment by Combining Multiple Reified Alignments. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 153–160, Trento, Italy. Association for Computational Linguistics."
incorporating_syntactic_and_semantic_information_in_word_embeddings_using_graph_convolutional_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
inducing_embeddings_for_rare_and_unseen_words_by_leveraging_lexical_resources,April,2017.0,EACL,https://aclanthology.org/E17-2062,pilehvar-collier-2017-inducing,"Mohammad Taher Pilehvar and Nigel Collier. 2017. Inducing Embeddings for Rare and Unseen Words by Leveraging Lexical Resources. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 388–393, Valencia, Spain. Association for Computational Linguistics."
towards_userdriven_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
explainable_prediction_of_text_complexity_the_missing_preliminaries_for_text_simplification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
openslu_a_unified_modularized_and_extensible_toolkit_for_spoken_language_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cocoa_an_encoderdecoder_model_for_controllable_codeswitched_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
discriminative_learning_of_syntactic_and_semantic_dependencies,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_endtoend_model_for_entitylevel_relation_extraction_using_multiinstance_learning,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.319,eberts-ulges-2021-end,"Markus Eberts and Adrian Ulges. 2021. An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3650–3660, Online. Association for Computational Linguistics."
how_well_can_we_predict_hypernyms_from_word_embeddings_a_datasetcentric_analysis,April,2017.0,EACL,https://aclanthology.org/E17-2064,sanchez-riedel-2017-well,"Ivan Sanchez and Sebastian Riedel. 2017. How Well Can We Predict Hypernyms from Word Embeddings? A Dataset-Centric Analysis. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 401–407, Valencia, Spain. Association for Computational Linguistics."
dependency_parsing_based_on_dynamic_local_optimization,June,2006.0,CoNLL,https://aclanthology.org/W06-2931,liu-etal-2006-dependency,"Ting Liu, Jinshan Ma, Huijia Zhu, and Sheng Li. 2006. Dependency Parsing Based on Dynamic Local Optimization. In Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X), pages 211–215, New York City. Association for Computational Linguistics."
experimental_evaluation_of_ltagbased_features_for_semantic_role_labeling,June,2007.0,,https://aclanthology.org/D07-1062,liu-sarkar-2007-experimental,"Yudong Liu and Anoop Sarkar. 2007. Experimental Evaluation of LTAG-Based Features for Semantic Role Labeling. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 590–599, Prague, Czech Republic. Association for Computational Linguistics."
towards_identifying_finegrained_depression_symptoms_from_memes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
prominet_prototypebased_multiview_network_for_interpretable_email_response_prediction,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.21,wang-etal-2023-prominet,"Yuqing Wang, Prashanth Vijayaraghavan, and Ehsan Degan. 2023. PROMINET: Prototype-based Multi-View Network for Interpretable Email Response Prediction. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 202–215, Singapore. Association for Computational Linguistics."
do_conll2003_named_entity_taggers_still_work_well_in_2023,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
temporal_common_sense_acquisition_with_minimal_supervision,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_crosslingual_transferability_of_monolingual_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
estimating_predictive_uncertainty_for_rumour_verification_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
seallms__large_language_models_for_southeast_asia,August,2024.0,ACL,https://aclanthology.org/2024.acl-demos.28,nguyen-etal-2024-seallms,"Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, Mahani Aljunied, Zhiqiang Hu, Chenhui Shen, Yew Ken Chia, Xingxuan Li, Jianyu Wang, Qingyu Tan, Liying Cheng, Guanzheng Chen, Yue Deng, Sen Yang, Chaoqun Liu, Hang Zhang, and Lidong Bing. 2024. SeaLLMs - Large Language Models for Southeast Asia. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 294–304, Bangkok, Thailand. Association for Computational Linguistics."
french_crowspairs_extending_a_challenge_dataset_for_measuring_social_bias_in_masked_language_models_to_a_language_other_than_english,May,2022.0,ACL,https://aclanthology.org/2022.acl-long.583,neveol-etal-2022-french,"Aurélie Névéol, Yoann Dupont, Julien Bezançon, and Karën Fort. 2022. French CrowS-Pairs: Extending a challenge dataset for measuring social bias in masked language models to a language other than English. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 8521–8531, Dublin, Ireland. Association for Computational Linguistics."
efficient_and_robust_question_answering_from_minimal_context_over_documents,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
opendomain_whyquestion_answering_with_adversarial_learning_to_encode_answer_texts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reinforced_targetdriven_conversational_promotion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_workbench_for_finding_structure_in_texts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
textbox_a_unified_modularized_and_extensible_framework_for_text_generation,August,2021.0,,https://aclanthology.org/2021.acl-demo.4,li-etal-2021-textbox,"Junyi Li, Tianyi Tang, Gaole He, Jinhao Jiang, Xiaoxuan Hu, Puzhao Xie, Zhipeng Chen, Zhuohao Yu, Wayne Xin Zhao, and Ji-Rong Wen. 2021. TextBox: A Unified, Modularized, and Extensible Framework for Text Generation. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations, pages 30–39, Online. Association for Computational Linguistics."
personal_bias_in_prediction_of_emotions_elicited_by_textual_opinions,August,2021.0,,https://aclanthology.org/2021.acl-srw.26,milkowski-etal-2021-personal,"Piotr Milkowski, Marcin Gruza, Kamil Kanclerz, Przemyslaw Kazienko, Damian Grimling, and Jan Kocon. 2021. Personal Bias in Prediction of Emotions Elicited by Textual Opinions. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop, pages 248–259, Online. Association for Computational Linguistics."
evaluating_extreme_hierarchical_multilabel_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_probabilistic_subcategorization_preference_by_identifying_case_dependencies_and_optimal_noun_class_generalization_level,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
summscreen_a_dataset_for_abstractive_screenplay_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
easy_web_search_results_clustering_when_baselines_can_reach_stateoftheart_algorithms,April,2014.0,EACL,https://aclanthology.org/E14-4001,moreno-dias-2014-easy,"Jose G. Moreno and Gaël Dias. 2014. Easy Web Search Results Clustering: When Baselines Can Reach State-of-the-Art Algorithms. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 1–5, Gothenburg, Sweden. Association for Computational Linguistics."
explainable_natural_language_to_bash_translation_using_abstract_syntax_tree,November,2021.0,CoNLL,https://aclanthology.org/2021.conll-1.20,bharadwaj-shevade-2021-explainable,"Shikhar Bharadwaj and Shirish Shevade. 2021. Explainable Natural Language to Bash Translation using Abstract Syntax Tree. In Proceedings of the 25th Conference on Computational Natural Language Learning, pages 258–267, Online. Association for Computational Linguistics."
aldi_quantifying_the_arabic_level_of_dialectness_of_text,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.655,keleg-etal-2023-aldi,"Amr Keleg, Sharon Goldwater, and Walid Magdy. 2023. ALDi: Quantifying the Arabic Level of Dialectness of Text. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 10597–10611, Singapore. Association for Computational Linguistics."
lookback_decoding_for_openended_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
spanconvert_fewshot_span_extraction_for_dialog_with_pretrained_conversational_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_abstractive_summarization_of_bengali_text_documents,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.224,chowdhury-etal-2021-unsupervised,"Radia Rayan Chowdhury, Mir Tafseer Nayeem, Tahsin Tasnim Mim, Md. Saifur Rahman Chowdhury, and Taufiqul Jannat. 2021. Unsupervised Abstractive Summarization of Bengali Text Documents. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2612–2619, Online. Association for Computational Linguistics."
rankqa_neural_question_answering_with_answer_reranking,July,2019.0,ACL,https://aclanthology.org/P19-1611,kratzwald-etal-2019-rankqa,"Bernhard Kratzwald, Anna Eigenmann, and Stefan Feuerriegel. 2019. RankQA: Neural Question Answering with Answer Re-Ranking. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 6076–6085, Florence, Italy. Association for Computational Linguistics."
improving_statistical_machine_translation_using_word_sense_disambiguation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_hybrid_approach_to_emotional_sentence_polarity_and_intensity_classification,July,2010.0,CoNLL,https://aclanthology.org/W10-2919,carrillo-de-albornoz-etal-2010-hybrid,"Jorge Carrillo de Albornoz, Laura Plaza, and Pablo Gervás. 2010. A Hybrid Approach to Emotional Sentence Polarity and Intensity Classification. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning, pages 153–161, Uppsala, Sweden. Association for Computational Linguistics."
nthu_at_the_conll2014_shared_task,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
postech_grammatical_error_correction_system_in_the_conll2014_shared_task,June,2014.0,CoNLL,https://aclanthology.org/W14-1709,lee-lee-2014-postech,"Kyusong Lee and Gary Geunbae Lee. 2014. POSTECH Grammatical Error Correction System in the CoNLL-2014 Shared Task. In Proceedings of the Eighteenth Conference on Computational Natural Language Learning: Shared Task, pages 65–73, Baltimore, Maryland. Association for Computational Linguistics."
reference_network_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
collapsed_variational_bayesian_inference_for_pcfgs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hint_hypernetwork_instruction_tuning_for_efficient_zero_and_fewshot_generalisation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
slot_tagging_for_task_oriented_spoken_language_understanding_in_humantohuman_conversation_scenarios,November,2019.0,CoNLL,https://aclanthology.org/K19-1071,kim-etal-2019-slot,"Kunho Kim, Rahul Jha, Kyle Williams, Alex Marin, and Imed Zitouni. 2019. Slot Tagging for Task Oriented Spoken Language Understanding in Human-to-Human Conversation Scenarios. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 757–767, Hong Kong, China. Association for Computational Linguistics."
data_driven_language_transfer_hypotheses,April,2014.0,EACL,https://aclanthology.org/E14-4033,swanson-charniak-2014-data,"Ben Swanson and Eugene Charniak. 2014. Data Driven Language Transfer Hypotheses. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 169–173, Gothenburg, Sweden. Association for Computational Linguistics."
llmbox_a_comprehensive_library_for_large_language_models,August,2024.0,ACL,https://aclanthology.org/2024.acl-demos.37,tang-etal-2024-llmbox,"Tianyi Tang, Hu Yiwen, Bingqian Li, Wenyang Luo, ZiJing Qin, Haoxiang Sun, Jiapeng Wang, Shiyi Xu, Xiaoxue Cheng, Geyang Guo, Han Peng, Bowen Zheng, Yiru Tang, Yingqian Min, Yushuo Chen, Jie Chen, Ranchi Zhao, Luran Ding, Yuhao Wang, et al.. 2024. LLMBox: A Comprehensive Library for Large Language Models. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 388–399, Bangkok, Thailand. Association for Computational Linguistics."
bert_learns_to_teach_knowledge_distillation_with_meta_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
finegrained_spoiler_detection_from_largescale_review_corpora,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluating_and_combining_approaches_to_selectional_preference_acquisition,April,2003.0,EACL,https://aclanthology.org/E03-1034,brockmann-lapata-2003-evaluating,"Carsten Brockmann and Mirella Lapata. 2003. Evaluating and Combining Approaches to Selectional Preference Acquisition. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
codeswitching_can_be_better_aligners_advancing_crosslingual_slu_through_representationlevel_and_predictionlevel_alignment,August,2024.0,ACL,https://aclanthology.org/2024.acl-short.15,zhu-etal-2024-code,"Zhihong Zhu, Xuxin Cheng, Zhanpeng Chen, Xianwei Zhuang, Zhiqi Huang, and Yuexian Zou. 2024. Code-Switching Can be Better Aligners: Advancing Cross-Lingual SLU through Representation-Level and Prediction-Level Alignment. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 153–160, Bangkok, Thailand. Association for Computational Linguistics."
expanding_the_range_of_automatic_emotion_detection_in_microblogging_text,April,2014.0,EACL,https://aclanthology.org/E14-3005,liew-2014-expanding,"Jasy Suet Yan Liew. 2014. Expanding the Range of Automatic Emotion Detection in Microblogging Text. In Proceedings of the Student Research Workshop at the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 38–44, Gothenburg, Sweden. Association for Computational Linguistics."
a_largescale_corpus_for_conversation_disentanglement,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_pipeline_for_zeroshot_datatotext_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
representing_words_as_regions_in_vector_space,June,2009.0,CoNLL,https://aclanthology.org/W09-1109,erk-2009-representing,"Katrin Erk. 2009. Representing words as regions in vector space. In Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL-2009), pages 57–65, Boulder, Colorado. Association for Computational Linguistics."
a_webbased_demonstrator_of_a_multilingual_phrasebased_translation_system,,2006.0,EACL,https://aclanthology.org/E06-2002,cattoni-etal-2006-web,"Roldano Cattoni, Nicola Bertoldi, Mauro Cettolo, Boxing Chen, and Marcello Federico. 2006. A Web-based Demonstrator of a Multi-lingual Phrase-based Translation System. In Demonstrations, pages 91–94."
exploring_the_impact_of_model_scaling_on_parameterefficient_tuning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
from_partial_to_strictly_incremental_constituent_parsing,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.21,ezquerro-etal-2024-partial,"Ana Ezquerro, Carlos Gómez-Rodríguez, and David Vilares. 2024. From Partial to Strictly Incremental Constituent Parsing. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 225–233, St. Julian’s, Malta. Association for Computational Linguistics."
interpreting_embedding_spaces_by_conceptualization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
shallow_discourse_parsing_with_syntactic_and_a_few_semantic_features,July,2015.0,CoNLL,https://aclanthology.org/K15-2009,mukherjee-etal-2015-shallow,"Shubham Mukherjee, Abhishek Tiwari, Mohit Gupta, and Anil Kumar Singh. 2015. Shallow Discourse Parsing with Syntactic and (a Few) Semantic Features. In Proceedings of the Nineteenth Conference on Computational Natural Language Learning - Shared Task, pages 61–65, Beijing, China. Association for Computational Linguistics."
accurate_and_wellcalibrated_icd_code_assignment_through_attention_over_diverse_label_embeddings,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.141,gomes-etal-2024-accurate,"Goncalo Gomes, Isabel Coutinho, and Bruno Martins. 2024. Accurate and Well-Calibrated ICD Code Assignment Through Attention Over Diverse Label Embeddings. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2302–2315, St. Julian’s, Malta. Association for Computational Linguistics."
mulda_a_multilingual_data_augmentation_framework_for_lowresource_crosslingual_ner,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_parse_is_darc_and_full_of_errors_universal_dependency_parsing_with_transitionbased_and_graphbased_algorithms,August,2017.0,CoNLL,https://aclanthology.org/K17-3013,yu-etal-2017-parse,"Kuan Yu, Pavel Sofroniev, Erik Schill, and Erhard Hinrichs. 2017. The parse is darc and full of errors: Universal dependency parsing with transition-based and graph-based algorithms. In Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 126–133, Vancouver, Canada. Association for Computational Linguistics."
why_doesnt_em_find_good_hmm_postaggers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
distilled_dualencoder_model_for_visionlanguage_understanding,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.608,wang-etal-2022-distilled,"Zekun Wang, Wenhui Wang, Haichao Zhu, Ming Liu, Bing Qin, and Furu Wei. 2022. Distilled Dual-Encoder Model for Vision-Language Understanding. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8901–8913, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
advpicker_effectively_leveraging_unlabeled_data_via_adversarial_discriminator_for_crosslingual_ner,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_good_neighbor_a_found_treasure_mining_treasured_neighbors_for_knowledge_graph_entity_typing,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.31,jin-etal-2022-good-neighbor,"Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, and Jun Zhao. 2022. A Good Neighbor, A Found Treasure: Mining Treasured Neighbors for Knowledge Graph Entity Typing. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 480–490, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
align_and_copy_uzh_at_sigmorphon_2017_shared_task_for_morphological_reinflection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ditto_dataefficient_and_fair_targeted_subset_selection_for_asr_accent_adaptation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_entity_linking_through_semantic_reinforced_entity_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
envisioning_future_from_the_past_hierarchical_duality_learning_for_multiturn_dialogue_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
instancedriven_attachment_of_semantic_annotations_over_conceptual_hierarchies,April,2012.0,EACL,https://aclanthology.org/E12-1051,christensen-pasca-2012-instance,"Janara Christensen and Marius Paşca. 2012. Instance-Driven Attachment of Semantic Annotations over Conceptual Hierarchies. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 503–513, Avignon, France. Association for Computational Linguistics."
recognizing_insufficiently_supported_arguments_in_argumentative_essays,April,2017.0,EACL,https://aclanthology.org/E17-1092,stab-gurevych-2017-recognizing,"Christian Stab and Iryna Gurevych. 2017. Recognizing Insufficiently Supported Arguments in Argumentative Essays. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 980–990, Valencia, Spain. Association for Computational Linguistics."
prompt2model_generating_deployable_models_from_natural_language_instructions,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-demo.38,viswanathan-etal-2023-prompt2model,"Vijay Viswanathan, Chenyang Zhao, Amanda Bertsch, Tongshuang Wu, and Graham Neubig. 2023. Prompt2Model: Generating Deployable Models from Natural Language Instructions. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 413–421, Singapore. Association for Computational Linguistics."
changing_the_world_by_changing_the_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_paraphrasing_by_simulated_annealing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
do_children_texts_hold_the_key_to_commonsense_knowledge,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.752,romero-razniewski-2022-children,"Julien Romero and Simon Razniewski. 2022. Do Children Texts Hold The Key To Commonsense Knowledge?. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10954–10959, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
automatic_annotation_for_all_semantic_layers_in_framenet,,2006.0,EACL,https://aclanthology.org/E06-2013,johansson-nugues-2006-automatic,"Richard Johansson and Pierre Nugues. 2006. Automatic Annotation for All Semantic Layers in FrameNet. In Demonstrations, pages 135–138."
evaluating_object_hallucination_in_large_visionlanguage_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
stanfords_graphbased_neural_dependency_parser_at_the_conll_2017_shared_task,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nonautoregressive_text_generation_with_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bidirectional_multigranularity_generation_framework_for_knowledge_graphtotext_with_large_language_model,August,2024.0,ACL,https://aclanthology.org/2024.acl-short.14,du-etal-2024-bi,"Haowei Du, Chen Li, Dinghao Zhang, and Dongyan Zhao. 2024. Bi-Directional Multi-Granularity Generation Framework for Knowledge Graph-to-Text with Large Language Model. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 147–152, Bangkok, Thailand. Association for Computational Linguistics."
modeling_semantic_relationship_in_multiturn_conversations_with_hierarchical_latent_variables,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
matchprompt_promptbased_open_relation_extraction_with_semantic_consistency_guided_clustering,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.537,wang-etal-2022-matchprompt,"Jiaxin Wang, Lingling Zhang, Jun Liu, Xi Liang, Yujie Zhong, and Yaqiang Wu. 2022. MatchPrompt: Prompt-based Open Relation Extraction with Semantic Consistency Guided Clustering. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7875–7888, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
a_simple_theoretical_model_of_importance_for_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
understanding_demonstrationbased_learning_from_a_causal_perspective,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.125,zhang-yu-2023-understanding,"Ruiyi Zhang and Tong Yu. 2023. Understanding Demonstration-based Learning from a Causal Perspective. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1465–1475, Toronto, Canada. Association for Computational Linguistics."
learning_an_unreferenced_metric_for_online_dialogue_evaluation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_robustness_of_question_rewriting_systems_to_questions_of_varying_hardness,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generative_knowledge_graph_construction_a_review,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.1,ye-etal-2022-generative,"Hongbin Ye, Ningyu Zhang, Hui Chen, and Huajun Chen. 2022. Generative Knowledge Graph Construction: A Review. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1–17, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
named_entity_recognition_with_long_shortterm_memory,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
irrgn_an_implicit_relational_reasoning_graph_network_for_multiturn_response_selection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_sequencetosequence_approach_to_dialogue_state_tracking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_closer_look_at_how_finetuning_changes_bert,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
incorporating_chinese_characters_of_words_for_lexical_sememe_prediction,July,2018.0,ACL,https://aclanthology.org/P18-1227,jin-etal-2018-incorporating,"Huiming Jin, Hao Zhu, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin, and Leyu Lin. 2018. Incorporating Chinese Characters of Words for Lexical Sememe Prediction. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2439–2449, Melbourne, Australia. Association for Computational Linguistics."
qtod_a_querydriven_taskoriented_dialogue_system,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
entitylevel_factual_adaptiveness_of_finetuning_based_abstractive_summarization_models,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.55,song-etal-2024-entity,"Jongyoon Song, Nohil Park, Bongkyu Hwang, Jaewoong Yun, Seongho Joe, Youngjune Gwon, and Sungroh Yoon. 2024. Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 915–929, St. Julian’s, Malta. Association for Computational Linguistics."
the_role_of_data_curation_in_image_captioning,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.65,li-etal-2024-role,"Wenyan Li, Jonas Lotz, Chen Qiu, and Desmond Elliott. 2024. The Role of Data Curation in Image Captioning. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1074–1088, St. Julian’s, Malta. Association for Computational Linguistics."
lingpars_a_linguistically_inspired_languageindependent_machine_learner_for_dependency_treebanks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_richly_annotated_corpus_for_different_tasks_in_automated_factchecking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_unsupervised_nmt_using_shared_encoder_and_languagespecific_decoders,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dynamic_topic_modeling_by_clustering_embeddings_from_pretrained_language_models_a_research_proposal,November,2022.0,,https://aclanthology.org/2022.aacl-srw.12,eklund-etal-2022-dynamic,"Anton Eklund, Mona Forsman, and Frank Drewes. 2022. Dynamic Topic Modeling by Clustering Embeddings from Pretrained Language Models: A Research Proposal. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: Student Research Workshop, pages 84–91, Online. Association for Computational Linguistics."
weakly_supervised_partofspeech_tagging_for_morphologicallyrich_resourcescarce_languages,July,2023.0,CODI,https://aclanthology.org/2023.codi-1.8,knaebel-2023-weakly,"René Knaebel. 2023. A Weakly-Supervised Learning Approach to the Identification of “Alternative Lexicalizations” in Shallow Discourse Parsing. In Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023), pages 61–69, Toronto, Canada. Association for Computational Linguistics."
exchangeofthought_enhancing_large_language_model_capabilities_through_crossmodel_communication,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
chatgpt_for_zeroshot_dialogue_state_tracking_a_solution_or_an_opportunity,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rawc_relatedness_of_ambiguous_words_in_context_a_new_lexical_resource_for_english,August,2021.0,,https://aclanthology.org/2021.acl-long.550,trott-bergen-2021-raw,"Sean Trott and Benjamin Bergen. 2021. RAW-C: Relatedness of Ambiguous Words in Context (A New Lexical Resource for English). In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 7077–7087, Online. Association for Computational Linguistics."
how_does_grammatical_gender_affect_noun_representations_in_gendermarking_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gkd_a_general_knowledge_distillation_framework_for_largescale_pretrained_language_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
effective_use_of_wordnet_semantics_via_kernelbased_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semisupervised_formality_style_transfer_with_consistency_training,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crosslingual_morphological_inflection_with_explicit_alignment,August,2019.0,ACL,https://aclanthology.org/W19-4209,coltekin-2019-cross,"Çağrı Çöltekin. 2019. Cross-lingual morphological inflection with explicit alignment. In Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 71–79, Florence, Italy. Association for Computational Linguistics."
votenrank_revision_of_benchmarking_with_social_choice_theory,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.48,rofin-etal-2023-votenrank,"Mark Rofin, Vladislav Mikhailov, Mikhail Florinsky, Andrey Kravchenko, Tatiana Shavrina, Elena Tutubalina, Daniel Karabekyan, and Ekaterina Artemova. 2023. Vote’n’Rank: Revision of Benchmarking with Social Choice Theory. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 670–686, Dubrovnik, Croatia. Association for Computational Linguistics."
improving_factual_consistency_in_summarization_with_compressionbased_postediting,May,2024.0,,https://aclanthology.org/2024.lrec-main.770,hu-etal-2024-improving,"Dingxin Hu, Xuanyu Zhang, Xingyue Zhang, Yiyang Li, Dongsheng Chen, Marina Litvak, Natalia Vanetik, Qing Yang, Dongliang Xu, Yanquan Zhou, Lei Li, Yuze Li, and Yingqi Zhu. 2024. Improving Factual Consistency in Abstractive Summarization with Sentence Structure Pruning. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 8792–8803, Torino, Italia. ELRA and ICCL."
coordinated_topic_modeling,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.668,akash-etal-2022-coordinated,"Pritom Saha Akash, Jie Huang, and Kevin Chen-Chuan Chang. 2022. Coordinated Topic Modeling. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9831–9843, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
dutch_sublanguage_semantic_tagging_combined_with_markup_technology,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
zeroshot_fact_verification_by_claim_generation,August,2021.0,,https://aclanthology.org/2021.acl-short.61,pan-etal-2021-zero,"Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, and William Yang Wang. 2021. Zero-shot Fact Verification by Claim Generation. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 476–483, Online. Association for Computational Linguistics."
the_turing_quest_can_transformers_make_good_npcs,July,2023.0,ACL,https://aclanthology.org/2023.acl-srw.17,gao-emami-2023-turing,"Qi Chen Gao and Ali Emami. 2023. The Turing Quest: Can Transformers Make Good NPCs?. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), pages 93–103, Toronto, Canada. Association for Computational Linguistics."
learning_simplifications_for_specific_target_audiences,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_simple_and_effective_dependency_parser_for_telugu,July,2020.0,ACL,https://aclanthology.org/2020.acl-srw.19,nallani-etal-2020-simple,"Sneha Nallani, Manish Shrivastava, and Dipti Sharma. 2020. A Simple and Effective Dependency Parser for Telugu. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 143–149, Online. Association for Computational Linguistics."
dynamically_composing_domaindata_selection_with_cleandata_selection_by_cocurricular_learning_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
guiding_neural_entity_alignment_with_compatibility,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
e3_entailmentdriven_extracting_and_editing_for_conversational_machine_reading,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
grounded_multimodal_named_entity_recognition_on_social_media,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adaptive_natural_language_interaction,April,2009.0,EACL,https://aclanthology.org/E09-2010,konstantopoulos-etal-2009-adaptive,"Stasinos Konstantopoulos, Athanasios Tegos, Dimitrios Bilidas, Ion Androutsopoulos, Gerasimos Lampouras, Colin Matheson, Olivier Deroo, and Prodromos Malakasiotis. 2009. Adaptive Natural Language Interaction. In Proceedings of the Demonstrations Session at EACL 2009, pages 37–40, Athens, Greece. Association for Computational Linguistics."
stylenews_incorporating_stylized_news_generation_and_adversarial_verification_for_neural_fake_news_detection,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.92,wang-etal-2024-style,"Wei-Yao Wang, Yu-Chieh Chang, and Wen-Chih Peng. 2024. Style-News: Incorporating Stylized News Generation and Adversarial Verification for Neural Fake News Detection. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1531–1541, St. Julian’s, Malta. Association for Computational Linguistics."
not_all_reviews_are_equal_towards_addressing_reviewer_biases_for_opinion_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
stance_classification_of_contextdependent_claims,April,2017.0,EACL,https://aclanthology.org/E17-1024,bar-haim-etal-2017-stance,"Roy Bar-Haim, Indrajit Bhattacharya, Francesco Dinuzzo, Amrita Saha, and Noam Slonim. 2017. Stance Classification of Context-Dependent Claims. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 251–261, Valencia, Spain. Association for Computational Linguistics."
enhancing_structured_evidence_extraction_for_fact_verification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_author_context_for_detecting_intended_vs_perceived_sarcasm,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_causal_framework_to_quantify_the_robustness_of_mathematical_reasoning_with_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_new_direction_in_stance_detection_targetstance_extraction_in_the_wild,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
annoplot_interactive_visualizations_of_text_annotations,March,2024.0,EACL,https://aclanthology.org/2024.eacl-demo.12,fittschen-etal-2024-annoplot,"Elisabeth Fittschen, Tim Fischer, Daniel Brühl, Julia Spahr, Yuliia Lysa, and Phuoc Thang Le. 2024. AnnoPlot: Interactive Visualizations of Text Annotations. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 106–114, St. Julians, Malta. Association for Computational Linguistics."
sequence_to_sequence_mixture_model_for_diverse_machine_translation,October,2018.0,CoNLL,https://aclanthology.org/K18-1056,he-etal-2018-sequence,"Xuanli He, Gholamreza Haffari, and Mohammad Norouzi. 2018. Sequence to Sequence Mixture Model for Diverse Machine Translation. In Proceedings of the 22nd Conference on Computational Natural Language Learning, pages 583–592, Brussels, Belgium. Association for Computational Linguistics."
uln_towards_underspecified_visionandlanguage_navigation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
addressing_noise_in_multidialectal_word_embeddings,July,2018.0,ACL,https://aclanthology.org/P18-2089,erdmann-etal-2018-addressing,"Alexander Erdmann, Nasser Zalmout, and Nizar Habash. 2018. Addressing Noise in Multidialectal Word Embeddings. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 558–565, Melbourne, Australia. Association for Computational Linguistics."
what_does_bert_with_vision_look_at,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gossip_galore__a_selflearning_agent_for_exchanging_pop_trivia,November,2017.0,IJCNLP,https://aclanthology.org/I17-2069,akama-etal-2017-generating,"Reina Akama, Kazuaki Inada, Naoya Inoue, Sosuke Kobayashi, and Kentaro Inui. 2017. Generating Stylistically Consistent Dialog Responses with Transfer Learning. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 408–412, Taipei, Taiwan. Asian Federation of Natural Language Processing."
disco_distilled_student_models_cotraining_for_semisupervised_text_mining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cake_a_scalable_commonsenseaware_framework_for_multiview_knowledge_graph_completion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improved_zeroshot_neural_machine_translation_via_ignoring_spurious_correlations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
joining_hands_exploiting_monolingual_treebanks_for_parsing_of_codemixing_data,April,2017.0,EACL,https://aclanthology.org/E17-2052,bhat-etal-2017-joining,"Irshad Bhat, Riyaz A. Bhat, Manish Shrivastava, and Dipti Sharma. 2017. Joining Hands: Exploiting Monolingual Treebanks for Parsing of Code-mixing Data. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 324–330, Valencia, Spain. Association for Computational Linguistics."
multicell_compositional_lstm_for_ner_domain_adaptation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
topicaware_evidence_reasoning_and_stanceaware_aggregation_for_fact_verification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_monolingual_approach_to_contextualized_word_embeddings_for_midresource_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
kingdom_knowledgeguided_domain_adaptation_for_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dp_a_detector_for_presuppositions_in_survey_questions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
anisotropy_is_inherent_to_selfattention_in_transformers,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.3,godey-etal-2024-anisotropy,"Nathan Godey, Éric Clergerie, and Benoît Sagot. 2024. Anisotropy Is Inherent to Self-Attention in Transformers. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 35–48, St. Julian’s, Malta. Association for Computational Linguistics."
diffusemp_a_diffusion_modelbased_framework_with_multigrained_control_for_empathetic_response_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cleanconll_a_nearly_noisefree_named_entity_recognition_dataset,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bagofwords_vs_graph_vs_sequence_in_text_classification_questioning_the_necessity_of_textgraphs_and_the_surprising_strength_of_a_wide_mlp,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_measuring_the_intrinsic_fewshot_hardness_of_datasets,,2008.0,CL,https://aclanthology.org/J08-3,UNKNOWN_BIBKEY,N/A
you_told_me_that_joke_twice_a_systematic_investigation_of_transferability_and_robustness_of_humor_detection_models,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.845,baranov-etal-2023-told,"Alexander Baranov, Vladimir Kniazhevsky, and Pavel Braslavski. 2023. You Told Me That Joke Twice: A Systematic Investigation of Transferability and Robustness of Humor Detection Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13701–13715, Singapore. Association for Computational Linguistics."
uppam_a_unified_pretraining_architecture_for_political_actor_modeling_based_on_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_from_mistakes_via_cooperative_study_assistant_for_large_language_models,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.659,wang-li-2023-learning,"Danqing Wang and Lei Li. 2023. Learning from Mistakes via Cooperative Study Assistant for Large Language Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 10667–10685, Singapore. Association for Computational Linguistics."
lite_unified_modeling_for_discriminative_reading_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fewshot_data_synthesis_for_open_domain_multihop_question_answering,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.12,chen-etal-2024-shot,"Mingda Chen, Xilun Chen, and Wen-tau Yih. 2024. Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 190–208, St. Julian’s, Malta. Association for Computational Linguistics."
improving_image_captioning_with_better_use_of_caption,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unifying_discrete_and_continuous_representations_for_unsupervised_paraphrase_generation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.852,xue-etal-2023-unifying,"Mingfeng Xue, Dayiheng Liu, Wenqiang Lei, Jie Fu, Jian Lan, Mei Li, Baosong Yang, Jun Xie, Yidan Zhang, Dezhong Peng, and Jiancheng Lv. 2023. Unifying Discrete and Continuous Representations for Unsupervised Paraphrase Generation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13805–13822, Singapore. Association for Computational Linguistics."
disorbert_a_double_domain_adaptation_model_for_detecting_signs_of_mental_disorders_in_social_media,July,2023.0,ACL,https://aclanthology.org/2023.acl-long.853,aragon-etal-2023-disorbert,"Mario Aragon, Adrian Pastor Lopez Monroy, Luis Gonzalez, David E. Losada, and Manuel Montes. 2023. DisorBERT: A Double Domain Adaptation Model for Detecting Signs of Mental Disorders in Social Media. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 15305–15318, Toronto, Canada. Association for Computational Linguistics."
whats_in_a_pvalue_in_nlp,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unihanlm_coarsetofine_chinesejapanese_language_model_pretraining_with_the_unihan_database,December,2020.0,AACL,https://aclanthology.org/2020.aacl-main.24,xu-etal-2020-unihanlm,"Canwen Xu, Tao Ge, Chenliang Li, and Furu Wei. 2020. UnihanLM: Coarse-to-Fine Chinese-Japanese Language Model Pretraining with the Unihan Database. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, pages 201–211, Suzhou, China. Association for Computational Linguistics."
when_are_lemons_purple_the_concept_association_bias_of_visionlanguage_models,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.886,tang-etal-2023-lemons,"Yingtian Tang, Yutaro Yamada, Yoyo Zhang, and Ilker Yildirim. 2023. When are Lemons Purple? The Concept Association Bias of Vision-Language Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 14333–14348, Singapore. Association for Computational Linguistics."
exploration_and_exploitation_two_ways_to_improve_chinese_spelling_correction_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sentencelevel_media_bias_analysis_informed_by_discourse_structures,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
masked_language_model_scoring,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
seek_segmented_embedding_of_knowledge_graphs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_graphtext_mutual_conversion_with_a_unified_pretrained_language_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
variational_neural_machine_translation_with_normalizing_flows,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.694,setiawan-etal-2020-variational,"Hendra Setiawan, Matthias Sperber, Udhyakumar Nallasamy, and Matthias Paulik. 2020. Variational Neural Machine Translation with Normalizing Flows. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 7771–7777, Online. Association for Computational Linguistics."
cdl_curriculum_dual_learning_for_emotioncontrollable_response_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_pretrained_language_model_for_cyber_threat_intelligence,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluating_explainable_ai_which_algorithmic_explanations_help_users_predict_model_behavior,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
atformer_a_learned_performance_model_with_transfer_learning_across_devices_for_deep_learning_tensor_programs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ensuring_readability_and_datafidelity_using_headmodifier_templates_in_deep_type_description_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
i2d2_inductive_knowledge_distillation_with_neurologic_and_selfimitation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
former_infinite_memory_transformer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
opinion_summarization_by_weaksupervision_from_mixstructured_data,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.201,liu-etal-2022-opinion,"Yizhu Liu, Qi Jia, and Kenny Zhu. 2022. Opinion Summarization by Weak-Supervision from Mix-structured Data. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3086–3096, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
vihos_hate_speech_spans_detection_for_vietnamese,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.47,hoang-etal-2023-vihos,"Phu Gia Hoang, Canh Duc Luu, Khanh Quoc Tran, Kiet Van Nguyen, and Ngan Luu-Thuy Nguyen. 2023. ViHOS: Hate Speech Spans Detection for Vietnamese. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 652–669, Dubrovnik, Croatia. Association for Computational Linguistics."
enumeration_of_extractive_oracle_summaries,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
selfdetoxifying_language_models_via_toxification_reversal,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
agentspecific_deontic_modality_detection_in_legal_language,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.795,sancheti-etal-2022-agent,"Abhilasha Sancheti, Aparna Garimella, Balaji Vasan Srinivasan, and Rachel Rudinger. 2022. Agent-Specific Deontic Modality Detection in Legal Language. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11563–11579, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
language_generation_for_multimedia_healthcare_briefings,March,1997.0,ANLP,https://aclanthology.org/A97-1041,mckeown-etal-1997-language,"Kathleen R. McKeown, Desmond A. Jordan, Shimei Pan, James Shaw, and Barry A. Allen. 1997. Language Generation for Multimedia Healthcare Briefings. In Fifth Conference on Applied Natural Language Processing, pages 277–282, Washington, DC, USA. Association for Computational Linguistics."
hierarchical_curriculum_learning_for_amr_parsing,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.37,wang-etal-2022-hierarchical,"Peiyi Wang, Liang Chen, Tianyu Liu, Damai Dai, Yunbo Cao, Baobao Chang, and Zhifang Sui. 2022. Hierarchical Curriculum Learning for AMR Parsing. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 333–339, Dublin, Ireland. Association for Computational Linguistics."
a_coarsetofine_labeling_framework_for_joint_word_segmentation_pos_tagging_and_constituent_parsing,November,2021.0,CoNLL,https://aclanthology.org/2021.conll-1.23,hou-etal-2021-coarse,"Yang Hou, Houquan Zhou, Zhenghua Li, Yu Zhang, Min Zhang, Zhefeng Wang, Baoxing Huai, and Nicholas Jing Yuan. 2021. A Coarse-to-Fine Labeling Framework for Joint Word Segmentation, POS Tagging, and Constituent Parsing. In Proceedings of the 25th Conference on Computational Natural Language Learning, pages 290–299, Online. Association for Computational Linguistics."
are_bleu_and_meaning_representation_in_opposition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
language_and_mental_health_measures_of_emotion_dynamics_from_text_as_linguistic_biosocial_markers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_summa_platform_prototype,April,2017.0,EACL,https://aclanthology.org/E17-3029,liepins-etal-2017-summa,"Renars Liepins, Ulrich Germann, Guntis Barzdins, Alexandra Birch, Steve Renals, Susanne Weber, Peggy van der Kreeft, Hervé Bourlard, João Prieto, Ondřej Klejch, Peter Bell, Alexandros Lazaridis, Alfonso Mendes, Sebastian Riedel, Mariana S. C. Almeida, Pedro Balage, Shay B. Cohen, Tomasz Dwojak, Philip N. Garner, et al.. 2017. The SUMMA Platform Prototype. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 116–119, Valencia, Spain. Association for Computational Linguistics."
tencentpretrain_a_scalable_and_flexible_toolkit_for_pretraining_models_of_different_modalities,July,2023.0,ACL,https://aclanthology.org/2023.acl-demo.20,zhao-etal-2023-tencentpretrain,"Zhe Zhao, Yudong Li, Cheng Hou, Jing Zhao, Rong Tian, Weijie Liu, Yiren Chen, Ningyuan Sun, Haoyan Liu, Weiquan Mao, Han Guo, Weigang Gou, Taiqiang Wu, Tao Zhu, Wenhang Shi, Chen Chen, Shan Huang, Sihong Chen, Liqun Liu, et al.. 2023. TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 217–225, Toronto, Canada. Association for Computational Linguistics."
deconfounded_variational_encoderdecoder_for_logical_tabletotext_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_relate_from_captions_and_bounding_boxes,July,2019.0,ACL,https://aclanthology.org/P19-1660,garg-etal-2019-learning,"Sarthak Garg, Joel Ruben Antony Moniz, Anshu Aviral, and Priyatham Bollimpalli. 2019. Learning to Relate from Captions and Bounding Boxes. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 6597–6603, Florence, Italy. Association for Computational Linguistics."
similarity_dependent_chinese_restaurant_process_for_cognate_identification_in_multilingual_wordlists,October,2018.0,CoNLL,https://aclanthology.org/K18-1027,rama-2018-similarity,"Taraka Rama. 2018. Similarity Dependent Chinese Restaurant Process for Cognate Identification in Multilingual Wordlists. In Proceedings of the 22nd Conference on Computational Natural Language Learning, pages 271–281, Brussels, Belgium. Association for Computational Linguistics."
dependency_tree_abstraction_for_longdistance_reordering_in_statistical_machine_translation,April,2014.0,EACL,https://aclanthology.org/E14-1045,ding-arase-2014-dependency,"Chenchen Ding and Yuki Arase. 2014. Dependency Tree Abstraction for Long-Distance Reordering in Statistical Machine Translation. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 424–433, Gothenburg, Sweden. Association for Computational Linguistics."
forgotten_knowledge_examining_the_citational_amnesia_in_nlp,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
human_evaluation_of_a_german_surface_realisation_ranker,March,2009.0,EACL,https://aclanthology.org/E09-1014,cahill-forst-2009-human,"Aoife Cahill and Martin Forst. 2009. Human Evaluation of a German Surface Realisation Ranker. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 112–120, Athens, Greece. Association for Computational Linguistics."
crossmodal_commentator_automatic_machine_commenting_based_on_crossmodal_information,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
videogrounded_dialogues_with_pretrained_generation_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_massively_multilingual_neural_machine_translation_and_zeroshot_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
shaping_visual_representations_with_language_for_fewshot_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
detecting_semantically_equivalent_questions_in_online_user_forums,July,2015.0,CoNLL,https://aclanthology.org/K15-1013,bogdanova-etal-2015-detecting,"Dasha Bogdanova, Cícero dos Santos, Luciano Barbosa, and Bianca Zadrozny. 2015. Detecting Semantically Equivalent Questions in Online User Forums. In Proceedings of the Nineteenth Conference on Computational Natural Language Learning, pages 123–131, Beijing, China. Association for Computational Linguistics."
what_should_i_ask_using_conversationally_informative_rewards_for_goaloriented_visual_dialog,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generative_adversarial_training_with_perturbed_token_detection_for_model_robustness,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.804,zhao-mao-2023-generative,"Jiahao Zhao and Wenji Mao. 2023. Generative Adversarial Training with Perturbed Token Detection for Model Robustness. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13012–13025, Singapore. Association for Computational Linguistics."
modeling_structural_similarities_between_documents_for_coherence_assessment_with_graph_convolutional_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adaptive_testing_and_debugging_of_nlp_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
risk_minimization_for_zeroshot_sequence_labeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
decomt_decomposed_prompting_for_machine_translation_between_related_languages_using_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
language_representation_projection_can_we_transfer_factual_knowledge_across_languages_in_multilingual_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
how_do_words_contribute_to_sentence_semantics_revisiting_sentence_embeddings_with_a_perturbation_method,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.218,yao-etal-2023-words,"Wenlin Yao, Lifeng Jin, Hongming Zhang, Xiaoman Pan, Kaiqiang Song, Dian Yu, Dong Yu, and Jianshu Chen. 2023. How do Words Contribute to Sentence Semantics? Revisiting Sentence Embeddings with a Perturbation Method. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3001–3010, Dubrovnik, Croatia. Association for Computational Linguistics."
a_compareandcontrast_multistage_pipeline_for_uncovering_financial_signals_in_financial_reports,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
opentipe_an_opensource_translation_framework_for_interactive_postediting_research,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
human_vs_muppet_a_conservative_estimate_of_human_performance_on_the_glue_benchmark,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluating_and_enhancing_the_robustness_of_neural_networkbased_dependency_parsing_models_with_adversarial_examples,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
retracted_breaking_the_corpus_bottleneck_for_contextaware_neural_machine_translation_with_crosstask_pretraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
active_reading_comprehension_a_dataset_for_learning_the_questionanswer_relationship_strategy,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
building_language_models_for_text_with_named_entities,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_noisetolerant_speechreferring_video_object_segmentation_bridging_speech_and_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
analyzing_dependencies_of_japanese_subordinate_clauses_based_on_statistics_of_scope_embedding_preference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multihop_paragraph_retrieval_for_opendomain_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multimodal_multispeaker_merger__acquisition_financial_modeling_a_new_task_dataset_and_neural_baselines,August,2021.0,,https://aclanthology.org/2021.acl-long.526,sawhney-etal-2021-multimodal,"Ramit Sawhney, Mihir Goyal, Prakhar Goel, Puneet Mathur, and Rajiv Ratn Shah. 2021. Multimodal Multi-Speaker Merger & Acquisition Financial Modeling: A New Task, Dataset, and Neural Baselines. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 6751–6762, Online. Association for Computational Linguistics."
ditto_a_simple_and_efficient_approach_to_improve_sentence_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
accurate_online_posterior_alignments_for_principled_lexicallyconstrained_decoding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
compositional_questions_do_not_necessitate_multihop_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
speaker_information_can_guide_models_to_better_inductive_biases_a_case_study_on_predicting_codeswitching,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
compositional_generalization_by_factorizing_alignment_and_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_role_of_longtail_knowledge_in_retrieval_augmented_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
finding_authentic_counterhate_arguments_a_case_study_with_public_figures,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_neural_approach_to_pun_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pretraining_llms_using_humanlike_development_data_corpus,December,2023.0,CoNLL,https://aclanthology.org/2023.conll-babylm.30,bhardwaj-etal-2023-pre,"Khushi Bhardwaj, Raj Sanjay Shah, and Sashank Varma. 2023. Pre-training LLMs using human-like development data corpus. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 339–345, Singapore. Association for Computational Linguistics."
coordinated_replay_sample_selection_for_continual_federated_learning,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.32,good-etal-2023-coordinated,"Jack Good, Jimit Majmudar, Christophe Dupuy, Jixuan Wang, Charith Peris, Clement Chung, Richard Zemel, and Rahul Gupta. 2023. Coordinated Replay Sample Selection for Continual Federated Learning. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 331–342, Singapore. Association for Computational Linguistics."
improving_chinese_semantic_role_labeling_using_highquality_surface_and_deep_case_frames,April,2017.0,EACL,https://aclanthology.org/E17-1054,jin-etal-2017-improving,"Gongye Jin, Daisuke Kawahara, and Sadao Kurohashi. 2017. Improving Chinese Semantic Role Labeling using High-quality Surface and Deep Case Frames. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 568–577, Valencia, Spain. Association for Computational Linguistics."
ghostbert_generate_more_features_with_cheap_operations_for_bert,August,2021.0,,https://aclanthology.org/2021.acl-long.509,huang-etal-2021-ghostbert,"Zhiqi Huang, Lu Hou, Lifeng Shang, Xin Jiang, Xiao Chen, and Qun Liu. 2021. GhostBERT: Generate More Features with Cheap Operations for BERT. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 6512–6523, Online. Association for Computational Linguistics."
do_we_need_label_regularization_to_finetune_pretrained_language_models,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.13,kobyzev-etal-2023-need,"Ivan Kobyzev, Aref Jafari, Mehdi Rezagholizadeh, Tianda Li, Alan Do-Omri, Peng Lu, Pascal Poupart, and Ali Ghodsi. 2023. Do we need Label Regularization to Fine-tune Pre-trained Language Models?. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 166–177, Dubrovnik, Croatia. Association for Computational Linguistics."
multilevel_matching_and_aggregation_network_for_fewshot_relation_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_boosting_the_opendomain_chatbot_with_human_feedback,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
understanding_the_properties_of_minimum_bayes_risk_decoding_in_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hedge_detection_using_the_relhunter_approach,July,2010.0,CoNLL,https://aclanthology.org/W10-3009,fernandes-etal-2010-hedge,"Eraldo Fernandes, Carlos Crestana, and Ruy Milidiú. 2010. Hedge Detection Using the RelHunter Approach. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task, pages 64–69, Uppsala, Sweden. Association for Computational Linguistics."
maximizing_component_quality_in_bilingual_wordaligned_segmentations,April,2014.0,EACL,https://aclanthology.org/E14-1004,martzoukos-etal-2014-maximizing,"Spyros Martzoukos, Christof Monz, and Christophe Costa Florêncio. 2014. Maximizing Component Quality in Bilingual Word-Aligned Segmentations. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 30–38, Gothenburg, Sweden. Association for Computational Linguistics."
texttocode_generation_with_modalityrelative_pretraining,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.72,christopoulou-etal-2024-text,"Fenia Christopoulou, Guchun Zhang, and Gerasimos Lampouras. 2024. Text-to-Code Generation with Modality-relative Pre-training. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1194–1208, St. Julian’s, Malta. Association for Computational Linguistics."
towards_emotionaided_multimodal_dialogue_act_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
abstract_visual_reasoning_with_tangram_shapes,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.38,ji-etal-2022-abstract,"Anya Ji, Noriyuki Kojima, Noah Rush, Alane Suhr, Wai Keen Vong, Robert Hawkins, and Yoav Artzi. 2022. Abstract Visual Reasoning with Tangram Shapes. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 582–601, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
measuring_finegrained_domain_relevance_of_terms_a_hierarchical_corefringe_approach,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
joint_type_inference_on_entities_and_relations_via_graph_convolutional_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
instantaneous_grammatical_error_correction_with_shallow_aggressive_decoding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hidding_the_ghostwriters_an_adversarial_evaluation_of_aigenerated_student_essay_detection,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.644,peng-etal-2023-hidding,"Xinlin Peng, Ying Zhou, Ben He, Le Sun, and Yingfei Sun. 2023. Hidding the Ghostwriters: An Adversarial Evaluation of AI-Generated Student Essay Detection. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 10406–10419, Singapore. Association for Computational Linguistics."
leveraging_multilingual_positive_instances_in_contrastive_learning_to_improve_sentence_embedding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
summvis_interactive_visual_analysis_of_models_data_and_evaluation_for_text_summarization,August,2021.0,,https://aclanthology.org/2021.acl-demo.18,vig-etal-2021-summvis,"Jesse Vig, Wojciech Kryscinski, Karan Goel, and Nazneen Rajani. 2021. SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations, pages 150–158, Online. Association for Computational Linguistics."
injecting_knowledge_into_language_generation_a_case_study_in_autocharting_aftervisit_care_instructions_from_medical_dialogue,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generating_lexical_analogies_using_dependency_relations,June,2007.0,,https://aclanthology.org/D07-1059,chiu-etal-2007-generating,"Andy Chiu, Pascal Poupart, and Chrysanne DiMarco. 2007. Generating Lexical Analogies Using Dependency Relations. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 561–570, Prague, Czech Republic. Association for Computational Linguistics."
pieclass_weaklysupervised_text_classification_with_prompting_and_noiserobust_iterative_ensemble_training,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.780,zhang-etal-2023-pieclass,"Yunyi Zhang, Minhao Jiang, Yu Meng, Yu Zhang, and Jiawei Han. 2023. PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12655–12670, Singapore. Association for Computational Linguistics."
do_gpts_produce_less_literal_translations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_functional_relevance_of_probed_information_a_case_study,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.58,hanna-etal-2023-functional,"Michael Hanna, Roberto Zamparelli, and David Mareček. 2023. The Functional Relevance of Probed Information: A Case Study. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 835–848, Dubrovnik, Croatia. Association for Computational Linguistics."
codeswitched_language_identification_is_harder_than_you_think,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_universal_discriminator_for_zeroshot_generalization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_summary_candidates_fusion,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.581,ravaut-etal-2022-towards,"Mathieu Ravaut, Shafiq Joty, and Nancy Chen. 2022. Towards Summary Candidates Fusion. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8488–8504, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
gender_stereotypes_differ_between_male_and_female_writings,July,2019.0,ACL,https://aclanthology.org/P19-2007,qian-2019-gender,"Yusu Qian. 2019. Gender Stereotypes Differ between Male and Female Writings. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 48–53, Florence, Italy. Association for Computational Linguistics."
predicting_nonnative_speech_perception_using_the_perceptual_assimilation_model_and_stateoftheart_acoustic_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
selfconsistent_narrative_prompts_on_abductive_natural_language_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tuning_a_grammar_correction_system_for_increased_precision,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
finding_your_voice_the_linguistic_development_of_mental_health_counselors,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
afrisenti_a_twitter_sentiment_analysis_benchmark_for_african_languages,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.862,muhammad-etal-2023-afrisenti,"Shamsuddeen Muhammad, Idris Abdulmumin, Abinew Ayele, Nedjma Ousidhoum, David Adelani, Seid Yimam, Ibrahim Ahmad, Meriem Beloucif, Saif Mohammad, Sebastian Ruder, Oumaima Hourrane, Alipio Jorge, Pavel Brazdil, Felermino Ali, Davis David, Salomey Osei, Bello Shehu-Bello, Falalu Lawan, Tajuddeen Gwadabe, et al.. 2023. AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13968–13981, Singapore. Association for Computational Linguistics."
contextualized_weak_supervision_for_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_limitations_of_limited_context_for_constituency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
visually_grounded_neural_syntax_acquisition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adamix_mixtureofadaptations_for_parameterefficient_model_tuning,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.388,wang-etal-2022-adamix,"Yaqing Wang, Sahaj Agarwal, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, and Jianfeng Gao. 2022. AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5744–5760, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
benchmarking_scalable_methods_for_streaming_cross_document_entity_coreference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hierarchical_losses_and_new_resources_for_finegrained_entity_typing_and_linking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
history_for_visual_dialog_do_we_really_need_it,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.728,agarwal-etal-2020-history,"Shubham Agarwal, Trung Bui, Joon-Young Lee, Ioannis Konstas, and Verena Rieser. 2020. History for Visual Dialog: Do we really need it?. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8182–8197, Online. Association for Computational Linguistics."
symmetric_pattern_based_word_embeddings_for_improved_word_similarity_prediction,July,2015.0,CoNLL,https://aclanthology.org/K15-1026,schwartz-etal-2015-symmetric,"Roy Schwartz, Roi Reichart, and Ari Rappoport. 2015. Symmetric Pattern Based Word Embeddings for Improved Word Similarity Prediction. In Proceedings of the Nineteenth Conference on Computational Natural Language Learning, pages 258–267, Beijing, China. Association for Computational Linguistics."
bminf_an_efficient_toolkit_for_big_model_inference_and_tuning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
metalearning_for_fast_crosslingual_adaptation_in_dependency_parsing,May,2022.0,ACL,https://aclanthology.org/2022.acl-long.582,langedijk-etal-2022-meta,"Anna Langedijk, Verna Dankers, Phillip Lippe, Sander Bos, Bryan Cardenas Guevara, Helen Yannakoudakis, and Ekaterina Shutova. 2022. Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 8503–8520, Dublin, Ireland. Association for Computational Linguistics."
efficient_unsupervised_sentence_compression_by_finetuning_transformers_with_reinforcement_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
named_entity_recognition__is_there_a_glass_ceiling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
endtoend_unsupervised_visionandlanguage_pretraining_with_referring_expression_matching,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.742,chen-etal-2022-end,"Chi Chen, Peng Li, Maosong Sun, and Yang Liu. 2022. End-to-End Unsupervised Vision-and-Language Pre-training with Referring Expression Matching. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10799–10810, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
dual_supervised_learning_for_natural_language_understanding_and_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lsoie_a_largescale_dataset_for_supervised_open_information_extraction,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.222,solawetz-larson-2021-lsoie,"Jacob Solawetz and Stefan Larson. 2021. LSOIE: A Large-Scale Dataset for Supervised Open Information Extraction. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2595–2600, Online. Association for Computational Linguistics."
cone_an_efficient_coarsetofine_alignment_framework_for_long_video_temporal_grounding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ims_at_the_conll_2017_ud_shared_task_crfs_and_perceptrons_meet_neural_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generating_diverse_and_consistent_qa_pairs_from_contexts_with_informationmaximizing_hierarchical_conditional_vaes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
viskop_visual_knowledge_oriented_programming_for_interactive_knowledge_base_question_answering,July,2023.0,ACL,https://aclanthology.org/2023.acl-demo.17,yao-etal-2023-viskop,"Zijun Yao, Yuanyong Chen, Xin Lv, Shulin Cao, Amy Xin, Jifan Yu, Hailong Jin, Jianjun Xu, Peng Zhang, Lei Hou, and Juanzi Li. 2023. VisKoP: Visual Knowledge oriented Programming for Interactive Knowledge Base Question Answering. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 179–189, Toronto, Canada. Association for Computational Linguistics."
robustness_of_demonstrationbased_learning_under_limited_data_scenario,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
plue_language_understanding_evaluation_benchmark_for_privacy_policies_in_english,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
give_it_a_shot_fewshot_learning_to_normalize_adr_mentions_in_social_media_posts,August,2019.0,ACL,https://aclanthology.org/W19-3219,manousogiannis-etal-2019-give,"Emmanouil Manousogiannis, Sepideh Mesbah, Alessandro Bozzon, Selene Baez Santamaria, and Robert Jan Sips. 2019. Give It a Shot: Few-shot Learning to Normalize ADR Mentions in Social Media Posts. In Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task, pages 114–116, Florence, Italy. Association for Computational Linguistics."
reward_gaming_in_conditional_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_cautious_generalization_goes_a_long_way_learning_morphophonological_rules,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
square_automatic_question_answering_evaluation_using_multiple_positive_and_negative_references,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
chinese_temporal_tagging_with_heideltime,April,2014.0,EACL,https://aclanthology.org/E14-4026,li-etal-2014-chinese,"Hui Li, Jannik Strötgen, Julian Zell, and Michael Gertz. 2014. Chinese Temporal Tagging with HeidelTime. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 133–137, Gothenburg, Sweden. Association for Computational Linguistics."
rethinking_multimodal_entity_and_relation_extraction_from_a_translation_point_of_view,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
randomized_positional_encodings_boost_length_generalization_of_transformers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generalizing_a_strongly_lexicalized_parser_using_unlabeled_data,April,2014.0,EACL,https://aclanthology.org/E14-1014,deoskar-etal-2014-generalizing,"Tejaswini Deoskar, Christos Christodoulopoulos, Alexandra Birch, and Mark Steedman. 2014. Generalizing a Strongly Lexicalized Parser using Unlabeled Data. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 126–134, Gothenburg, Sweden. Association for Computational Linguistics."
higen_hierarchyaware_sequence_generation_for_hierarchical_text_classification,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.82,jain-etal-2024-higen,"Vidit Jain, Mukund Rungta, Yuchen Zhuang, Yue Yu, Zeyu Wang, Mu Gao, Jeffrey Skolnick, and Chao Zhang. 2024. HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1354–1368, St. Julian’s, Malta. Association for Computational Linguistics."
managing_uncertainty_in_semantic_tagging,April,2012.0,EACL,https://aclanthology.org/E12-1085,cinkova-etal-2012-managing,"Silvie Cinková, Martin Holub, and Vincent Kríž. 2012. Managing Uncertainty in Semantic Tagging. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 840–850, Avignon, France. Association for Computational Linguistics."
promptehr_conditional_electronic_healthcare_records_generation_with_prompt_learning,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.185,wang-sun-2022-promptehr,"Zifeng Wang and Jimeng Sun. 2022. PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 2873–2885, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
an_ordinal_latent_variable_model_of_conflict_intensity,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
xmd_an_endtoend_framework_for_interactive_explanationbased_debugging_of_nlp_models,July,2023.0,ACL,https://aclanthology.org/2023.acl-demo.25,lee-etal-2023-xmd,"Dong-Ho Lee, Akshen Kadakia, Brihi Joshi, Aaron Chan, Ziyi Liu, Kiran Narahari, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, and Xiang Ren. 2023. XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 264–273, Toronto, Canada. Association for Computational Linguistics."
a_sweet_rabbit_hole_by_darcy_using_honeypots_to_detect_universal_triggers_adversarial_attacks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
integrating_semantic_and_structural_information_with_graph_convolutional_network_for_controversy_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adaptive_tokenlevel_crosslingual_feature_mixing_for_multilingual_neural_machine_translation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.687,liu-etal-2022-adaptive,"Junpeng Liu, Kaiyu Huang, Jiuyi Li, Huan Liu, Jinsong Su, and Degen Huang. 2022. Adaptive Token-level Cross-lingual Feature Mixing for Multilingual Neural Machine Translation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10097–10113, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
extending_phrase_grounding_with_pronouns_in_visual_dialogues,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_building_more_robust_ner_datasets_an_empirical_study_on_ner_dataset_bias_from_a_dataset_difficulty_view,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crosslingual_rst_discourse_parsing,April,2017.0,EACL,https://aclanthology.org/E17-1028,braud-etal-2017-cross,"Chloé Braud, Maximin Coavoux, and Anders Søgaard. 2017. Cross-lingual RST Discourse Parsing. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 292–304, Valencia, Spain. Association for Computational Linguistics."
query_graph_generation_for_answering_multihop_complex_questions_from_knowledge_bases,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
investigating_political_herd_mentality_a_community_sentiment_based_approach,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
translation_as_weighted_deduction,March,2009.0,EACL,https://aclanthology.org/E09-1061,lopez-2009-translation,"Adam Lopez. 2009. Translation as Weighted Deduction. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 532–540, Athens, Greece. Association for Computational Linguistics."
gptwee_how_small_can_a_small_language_model_really_get,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generating_a_nonenglish_subjectivity_lexicon_relations_that_matter,March,2009.0,EACL,https://aclanthology.org/E09-1046,jijkoun-hofmann-2009-generating,"Valentin Jijkoun and Katja Hofmann. 2009. Generating a Non-English Subjectivity Lexicon: Relations That Matter. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 398–405, Athens, Greece. Association for Computational Linguistics."
updating_an_nlp_system_to_fit_new_domains_an_empirical_study_on_the_sentence_segmentation_problem,,2003.0,CoNLL,https://aclanthology.org/W03-0408,zhang-etal-2003-updating,"Tong Zhang, Fred Damerau, and David Johnson. 2003. Updating an NLP system to fit new domains: an empirical study on the sentence segmentation problem. In Proceedings of the Seventh Conference on Natural Language Learning at HLT-NAACL 2003, pages 56–62."
r2d2_robust_datatotext_with_replacement_detection,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.464,nan-etal-2022-r2d2,"Linyong Nan, Lorenzo Jaime Flores, Yilun Zhao, Yixin Liu, Luke Benson, Weijin Zou, and Dragomir Radev. 2022. R2D2: Robust Data-to-Text with Replacement Detection. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6903–6917, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
nile__natural_language_inference_with_faithful_natural_language_explanations,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.771,kumar-talukdar-2020-nile,"Sawan Kumar and Partha Talukdar. 2020. NILE : Natural Language Inference with Faithful Natural Language Explanations. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8730–8742, Online. Association for Computational Linguistics."
improving_named_entity_recognition_by_external_context_retrieving_and_cooperative_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
2kenize_tying_subword_sequences_for_chinese_script_conversion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
leanlife_a_labelefficient_annotation_framework_towards_learning_from_explanation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_maximum_subgraph_parsing_for_crossdomain_semantic_dependency_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
paper_abstract_writing_through_editing_mechanism,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
language_models_as_an_alternative_evaluator_of_word_order_hypotheses_a_case_study_in_japanese,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
imitation_learning_for_nonautoregressive_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_computation_efficiency_in_large_language_models_through_weight_and_activation_quantization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
womens_syntactic_resilience_and_mens_grammatical_luck_genderbias_in_partofspeech_tagging_and_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_unsupervised_relation_extraction_by_augmenting_diverse_sentence_pairs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_efficient_memoryaugmented_transformer_for_knowledgeintensive_nlp_tasks,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.346,wu-etal-2022-efficient,"Yuxiang Wu, Yu Zhao, Baotian Hu, Pasquale Minervini, Pontus Stenetorp, and Sebastian Riedel. 2022. An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5184–5196, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
computing_consensus_translation_for_multiple_machine_translation_systems_using_enhanced_hypothesis_alignment,April,2006.0,EACL,https://aclanthology.org/E06-1005,matusov-etal-2006-computing,"Evgeny Matusov, Nicola Ueffing, and Hermann Ney. 2006. Computing Consensus Translation for Multiple Machine Translation Systems Using Enhanced Hypothesis Alignment. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 33–40, Trento, Italy. Association for Computational Linguistics."
unsupervised_discovery_of_persian_morphemes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_faithful_neural_tabletotext_generation_with_contentmatching_constraints,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_lifecycle_of_facts_a_survey_of_social_bias_in_knowledge_graphs,November,2022.0,,https://aclanthology.org/2022.aacl-main.49,kraft-usbeck-2022-lifecycle,"Angelie Kraft and Ricardo Usbeck. 2022. The Lifecycle of “Facts”: A Survey of Social Bias in Knowledge Graphs. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 639–652, Online only. Association for Computational Linguistics."
aiming_to_know_you_better_perhaps_makes_me_a_more_engaging_dialogue_partner,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
situationbased_multiparticipant_chat_summarization_a_concept_an_explorationannotation_tool_and_an_example_collection,August,2021.0,,https://aclanthology.org/2021.acl-srw.14,smirnova-etal-2021-situation,"Anna Smirnova, Evgeniy Slobodkin, and George Chernishev. 2021. Situation-Based Multiparticipant Chat Summarization: a Concept, an Exploration-Annotation Tool and an Example Collection. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop, pages 127–137, Online. Association for Computational Linguistics."
investigating_the_effect_of_relative_positional_embeddings_on_amrtotext_generation_with_structural_adapters,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.51,montella-etal-2023-investigating,"Sebastien Montella, Alexis Nasr, Johannes Heinecke, Frederic Bechet, and Lina M. Rojas Barahona. 2023. Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 727–736, Dubrovnik, Croatia. Association for Computational Linguistics."
adapting_language_models_to_compress_contexts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
span_selection_pretraining_for_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
name_pronunciation_in_german_texttospeech_synthesis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
datadriven_generation_of_emphatic_facial_displays,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nemo_guardrails_a_toolkit_for_controllable_and_safe_llm_applications_with_programmable_rails,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-demo.40,rebedea-etal-2023-nemo,"Traian Rebedea, Razvan Dinu, Makesh Narsimhan Sreedhar, Christopher Parisien, and Jonathan Cohen. 2023. NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 431–445, Singapore. Association for Computational Linguistics."
diverse_and_informative_dialogue_generation_with_contextspecific_commonsense_knowledge_awareness,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
toward_implicit_reference_in_dialog_a_survey_of_methods_and_data,November,2022.0,,https://aclanthology.org/2022.aacl-main.45,vanderlyn-etal-2022-toward,"Lindsey Vanderlyn, Talita Anthonio, Daniel Ortega, Michael Roth, and Ngoc Thang Vu. 2022. Toward Implicit Reference in Dialog: A Survey of Methods and Data. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 587–600, Online only. Association for Computational Linguistics."
bert_prescriptions_to_avoid_unwanted_headaches_a_comparison_of_transformer_architectures_for_adverse_drug_event_detection,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.149,portelli-etal-2021-bert,"Beatrice Portelli, Edoardo Lenzi, Emmanuele Chersoni, Giuseppe Serra, and Enrico Santus. 2021. BERT Prescriptions to Avoid Unwanted Headaches: A Comparison of Transformer Architectures for Adverse Drug Event Detection. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1740–1747, Online. Association for Computational Linguistics."
meetingbank_a_benchmark_dataset_for_meeting_summarization,July,2023.0,ACL,https://aclanthology.org/2023.acl-long.906,hu-etal-2023-meetingbank,"Yebowen Hu, Timothy Ganter, Hanieh Deilamsalehy, Franck Dernoncourt, Hassan Foroosh, and Fei Liu. 2023. MeetingBank: A Benchmark Dataset for Meeting Summarization. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 16409–16423, Toronto, Canada. Association for Computational Linguistics."
eventlocation_tracking_in_narratives_a_case_study_on_holocaust_testimonies,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cascaded_headcolliding_attention,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
just_like_a_human_would_direct_access_to_sarcasm_augmented_with_potential_result_and_reaction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
documentnet_bridging_the_data_gap_in_document_pretraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
opendomain_sign_language_translation_learned_from_online_video,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tpdetector_detecting_turning_points_in_the_engineering_process_of_largescale_projects,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-demo.16,wu-etal-2023-tp,"Qi Wu, WenHan Chao, Xian Zhou, and Zhunchen Luo. 2023. TP-Detector: Detecting Turning Points in the Engineering Process of Large-scale Projects. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 177–185, Singapore. Association for Computational Linguistics."
budgeted_policy_learning_for_taskoriented_dialogue_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
texttotable_a_new_way_of_information_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
how_well_do_multihop_reading_comprehension_models_understand_date_information,November,2022.0,,https://aclanthology.org/2022.aacl-short.58,ho-etal-2022-well,"Xanh Ho, Saku Sugawara, and Akiko Aizawa. 2022. How Well Do Multi-hop Reading Comprehension Models Understand Date Information?. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 470–479, Online only. Association for Computational Linguistics."
using_contexttovector_with_graph_retrofitting_to_improve_word_embeddings,May,2022.0,ACL,https://aclanthology.org/2022.acl-long.561,zheng-etal-2022-using,"Jiangbin Zheng, Yile Wang, Ge Wang, Jun Xia, Yufei Huang, Guojiang Zhao, Yue Zhang, and Stan Li. 2022. Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 8154–8163, Dublin, Ireland. Association for Computational Linguistics."
pprec_news_recommendation_with_personalized_user_interest_and_timeaware_news_popularity,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_dependency_learning_a_huge_feature_engineering_method_to_semantic_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
will_you_find_these_shortcuts_a_protocol_for_evaluating_the_faithfulness_of_input_salience_methods_for_text_classification,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.64,bastings-etal-2022-will,"Jasmijn Bastings, Sebastian Ebert, Polina Zablotskaia, Anders Sandholm, and Katja Filippova. 2022. “Will You Find These Shortcuts?” A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 976–991, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
identifying_implicit_quotes_for_unsupervised_extractive_summarization_of_conversations,December,2020.0,AACL,https://aclanthology.org/2020.aacl-main.32,kano-etal-2020-identifying,"Ryuji Kano, Yasuhide Miura, Tomoki Taniguchi, and Tomoko Ohkuma. 2020. Identifying Implicit Quotes for Unsupervised Extractive Summarization of Conversations. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, pages 291–302, Suzhou, China. Association for Computational Linguistics."
the_exploration_of_deterministic_and_efficient_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
matcha_enhancing_visual_language_pretraining_with_math_reasoning_and_chart_derendering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bridging_continuous_and_discrete_spaces_interpretable_sentence_representation_learning_via_compositional_operations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
can_sequencetosequence_models_crack_substitution_ciphers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
is_your_classifier_actually_biased_measuring_fairness_under_uncertainty_with_bernstein_bounds,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fewshot_tabular_data_enrichment_using_finetuned_transformer_architectures,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_opinion_summarization_as_copycatreview_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
are_you_copying_my_model_protecting_the_copyright_of_large_language_models_for_eaas_via_backdoor_watermark,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
discrete_optimization_for_unsupervised_sentence_summarization_with_wordlevel_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
iterative_editbased_unsupervised_sentence_simplification,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.707,kumar-etal-2020-iterative,"Dhruv Kumar, Lili Mou, Lukasz Golab, and Olga Vechtomova. 2020. Iterative Edit-Based Unsupervised Sentence Simplification. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 7918–7928, Online. Association for Computational Linguistics."
nstm_realtime_querydriven_news_overview_composition_at_bloomberg,July,2020.0,ACL,https://aclanthology.org/2020.acl-demos.40,bambrick-etal-2020-nstm,"Joshua Bambrick, Minjie Xu, Andy Almonte, Igor Malioutov, Guim Perarnau, Vittorio Selo, and Iat Chong Chan. 2020. NSTM: Real-Time Query-Driven News Overview Composition at Bloomberg. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 350–361, Online. Association for Computational Linguistics."
exploring_prediction_uncertainty_in_machine_translation_quality_estimation,August,2016.0,CoNLL,https://aclanthology.org/K16-1021,beck-etal-2016-exploring,"Daniel Beck, Lucia Specia, and Trevor Cohn. 2016. Exploring Prediction Uncertainty in Machine Translation Quality Estimation. In Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, pages 208–218, Berlin, Germany. Association for Computational Linguistics."
investigating_bias_in_multilingual_language_models_crosslingual_transfer_of_debiasing_techniques,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multimodal_sequence_fusion_via_recursive_attention_for_emotion_recognition,October,2018.0,CoNLL,https://aclanthology.org/K18-1025,beard-etal-2018-multi,"Rory Beard, Ritwik Das, Raymond W. M. Ng, P. G. Keerthana Gopalakrishnan, Luka Eerens, Pawel Swietojanski, and Ondrej Miksik. 2018. Multi-Modal Sequence Fusion via Recursive Attention for Emotion Recognition. In Proceedings of the 22nd Conference on Computational Natural Language Learning, pages 251–259, Brussels, Belgium. Association for Computational Linguistics."
lida_a_tool_for_automatic_generation_of_grammaragnostic_visualizations_and_infographics_using_large_language_models,July,2023.0,ACL,https://aclanthology.org/2023.acl-demo.11,dibia-2023-lida,"Victor Dibia. 2023. LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 113–126, Toronto, Canada. Association for Computational Linguistics."
learn_over_past_evolve_for_future_forecasting_temporal_trends_for_fake_news_detection,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.13,hu-etal-2023-learn,"Beizhe Hu, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Zhengjia Wang, and Zhiwei Jin. 2023. Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 116–125, Toronto, Canada. Association for Computational Linguistics."
algorithms_for_weighted_pushdown_automata,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.656,butoi-etal-2022-algorithms,"Alexandra Butoi, Brian DuSell, Tim Vieira, Ryan Cotterell, and David Chiang. 2022. Algorithms for Weighted Pushdown Automata. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9669–9680, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
just_ask_for_calibration_strategies_for_eliciting_calibrated_confidence_scores_from_language_models_finetuned_with_human_feedback,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
from_zero_to_hero_humanintheloop_entity_linking_in_low_resource_domains,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dualfeedback_knowledge_retrieval_for_taskoriented_dialogue_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
distilling_knowledge_learned_in_bert_for_text_generation,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.705,chen-etal-2020-distilling,"Yen-Chun Chen, Zhe Gan, Yu Cheng, Jingzhou Liu, and Jingjing Liu. 2020. Distilling Knowledge Learned in BERT for Text Generation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 7893–7905, Online. Association for Computational Linguistics."
mixedinitiative_development_of_language_processing_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
measuring_and_improving_faithfulness_of_attention_in_neural_machine_translation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.243,moradi-etal-2021-measuring,"Pooya Moradi, Nishant Kambhatla, and Anoop Sarkar. 2021. Measuring and Improving Faithfulness of Attention in Neural Machine Translation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2791–2802, Online. Association for Computational Linguistics."
porting_statistical_parsers_with_datadefined_kernels,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
twirgcn_temporally_weighted_graph_convolution_for_question_answering_over_temporal_knowledge_graphs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
laziness_is_a_virtue_when_it_comes_to_compositionality_in_neural_semantic_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mind_your_outliers_investigating_the_negative_impact_of_outliers_on_active_learning_for_visual_question_answering,August,2021.0,,https://aclanthology.org/2021.acl-long.564,karamcheti-etal-2021-mind,"Siddharth Karamcheti, Ranjay Krishna, Li Fei-Fei, and Christopher Manning. 2021. Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 7265–7281, Online. Association for Computational Linguistics."
codeswitching_metrics_using_intonation_units,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_discourse_structure_in_documentlevel_machine_translation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.857,hu-wan-2023-exploring,"Xinyu Hu and Xiaojun Wan. 2023. Exploring Discourse Structure in Document-level Machine Translation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13889–13902, Singapore. Association for Computational Linguistics."
the_paradigm_discovery_problem,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.695,erdmann-etal-2020-paradigm,"Alexander Erdmann, Micha Elsner, Shijie Wu, Ryan Cotterell, and Nizar Habash. 2020. The Paradigm Discovery Problem. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 7778–7790, Online. Association for Computational Linguistics."
lightweight_adapter_tuning_for_multilingual_speech_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_response_selection_in_multiturn_dialogue_systems_by_incorporating_domain_knowledge,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
investigating_efficiently_extending_transformers_for_long_input_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_complementarity_objectives_for_hybrid_retrieval,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
complex_hyperbolic_knowledge_graph_embeddings_with_fast_fourier_transform,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
effective_information_extraction_with_semantic_affinity_patterns_and_relevant_regions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
query_rewriting_in_retrievalaugmented_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multitask_networks_with_universe_group_and_task_feature_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
jddc_21_a_multimodal_chinese_dialogue_dataset_with_joint_tasks_of_query_rewriting_response_generation_discourse_parsing_and_summarization,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.825,zhao-etal-2022-jddc,"Nan Zhao, Haoran Li, Youzheng Wu, and Xiaodong He. 2022. JDDC 2.1: A Multimodal Chinese Dialogue Dataset with Joint Tasks of Query Rewriting, Response Generation, Discourse Parsing, and Summarization. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 12037–12051, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
search_from_history_and_reason_for_future_twostage_reasoning_on_temporal_knowledge_graphs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
replication_issues_in_syntaxbased_aspect_extraction_for_opinion_mining,April,2017.0,EACL,https://aclanthology.org/E17-4003,marrese-taylor-matsuo-2017-replication,"Edison Marrese-Taylor and Yutaka Matsuo. 2017. Replication issues in syntax-based aspect extraction for opinion mining. In Proceedings of the Student Research Workshop at the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 23–32, Valencia, Spain. Association for Computational Linguistics."
generating_natural_language_proofs_with_verifierguided_search,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.7,yang-etal-2022-generating,"Kaiyu Yang, Jia Deng, and Danqi Chen. 2022. Generating Natural Language Proofs with Verifier-Guided Search. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 89–105, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
improving_a_pipeline_architecture_for_shallow_discourse_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
decomposed_scoring_of_ccg_dependencies,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.89,bhargava-penn-2023-decomposed,"Aditya Bhargava and Gerald Penn. 2023. Decomposed scoring of CCG dependencies. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1030–1040, Toronto, Canada. Association for Computational Linguistics."
generating_natural_language_questionanswer_pairs_from_a_knowledge_graph_using_a_rnn_based_question_generation_model,October–November,2019.0,INLG,https://aclanthology.org/W19-86,UNKNOWN_BIBKEY,N/A
hybrid_ways_to_improve_domain_independence_in_an_ml_dependency_parser,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
vivesdebatespeech_a_corpus_of_spoken_argumentation_to_leverage_audio_features_for_argument_mining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
incorporating_interlocutoraware_context_into_response_generation_on_multiparty_chatbots,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_convolutional_neural_networks_for_sentiment_analysis_of_spanish_tweets,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhanced_multichannel_graph_convolutional_network_for_aspect_sentiment_triplet_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sequential_model_selection_for_word_sense_disambiguation,March,1997.0,ANLP,https://aclanthology.org/A97-1056,pedersen-etal-1997-sequential,"Ted Pedersen, Rebecca Bruce, and Janyce Wiebe. 1997. Sequential Model Selection for Word Sense Disambiguation. In Fifth Conference on Applied Natural Language Processing, pages 388–395, Washington, DC, USA. Association for Computational Linguistics."
syntactic_and_semantic_structure_for_opinion_expression_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
smop_towards_efficient_and_effective_prompt_tuning_with_sparse_mixtureofprompts,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.884,choi-etal-2023-smop,"Joon-Young Choi, Junho Kim, Jun-Hyung Park, Wing-Lam Mok, and SangKeun Lee. 2023. SMoP: Towards Efficient and Effective Prompt Tuning with Sparse Mixture-of-Prompts. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 14306–14316, Singapore. Association for Computational Linguistics."
hiring_now_a_skillaware_multiattention_model_for_job_posting_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lfgbased_features_for_noun_number_and_article_grammatical_errors,August,2013.0,CoNLL,https://aclanthology.org/W13-3608,berend-etal-2013-lfg,"Gábor Berend, Veronika Vincze, Sina Zarrieß, and Richárd Farkas. 2013. LFG-based Features for Noun Number and Article Grammatical Errors. In Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task, pages 62–67, Sofia, Bulgaria. Association for Computational Linguistics."
unsupervised_domain_clusters_in_pretrained_language_models,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.692,aharoni-goldberg-2020-unsupervised,"Roee Aharoni and Yoav Goldberg. 2020. Unsupervised Domain Clusters in Pretrained Language Models. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 7747–7763, Online. Association for Computational Linguistics."
segmenting_subtitles_for_correcting_asr_segmentation_errors,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.248,wan-etal-2021-segmenting,"David Wan, Chris Kedzie, Faisal Ladhak, Elsbeth Turcan, Petra Galuscakova, Elena Zotkina, Zhengping Jiang, Peter Bell, and Kathleen McKeown. 2021. Segmenting Subtitles for Correcting ASR Segmentation Errors. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2842–2854, Online. Association for Computational Linguistics."
decoding_partofspeech_from_human_eeg_signals,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_understanding_the_geometry_of_knowledge_graph_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
characterlevel_dependencies_in_chinese_usefulness_and_learning,March,2009.0,EACL,https://aclanthology.org/E09-1100,zhao-2009-character,"Hai Zhao. 2009. Character-Level Dependencies in Chinese: Usefulness and Learning. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 879–887, Athens, Greece. Association for Computational Linguistics."
adversarial_nli_a_new_benchmark_for_natural_language_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_cascade_transformer_an_application_for_efficient_answer_sentence_selection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
scaling_backtranslation_with_domain_text_generation_for_sign_language_gloss_translation,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.34,ye-etal-2023-scaling,"Jinhui Ye, Wenxiang Jiao, Xing Wang, and Zhaopeng Tu. 2023. Scaling Back-Translation with Domain Text Generation for Sign Language Gloss Translation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 463–476, Dubrovnik, Croatia. Association for Computational Linguistics."
dialsql_dialogue_based_structured_query_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_rankbased_similarity_metric_for_word_embeddings,July,2018.0,ACL,https://aclanthology.org/P18-2088,santus-etal-2018-rank,"Enrico Santus, Hongmin Wang, Emmanuele Chersoni, and Yue Zhang. 2018. A Rank-Based Similarity Metric for Word Embeddings. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 552–557, Melbourne, Australia. Association for Computational Linguistics."
policybased_reinforcement_learning_for_generalisation_in_interactive_textbased_environments,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.88,toledo-etal-2023-policy,"Edan Toledo, Jan Buys, and Jonathan Shock. 2023. Policy-based Reinforcement Learning for Generalisation in Interactive Text-based Environments. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1230–1242, Dubrovnik, Croatia. Association for Computational Linguistics."
pactuning_finetuning_pretrained_language_models_with_pacdriven_perturbed_gradient_descent,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.748,liu-etal-2023-pac,"Guangliang Liu, Zhiyu Xue, Xitong Zhang, Kristen Johnson, and Rongrong Wang. 2023. PAC-tuning: Fine-tuning Pre-trained Language Models with PAC-driven Perturbed Gradient Descent. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12178–12189, Singapore. Association for Computational Linguistics."
negative_lexically_constrained_decoding_for_paraphrase_generation,July,2019.0,ACL,https://aclanthology.org/P19-1607,kajiwara-2019-negative,"Tomoyuki Kajiwara. 2019. Negative Lexically Constrained Decoding for Paraphrase Generation. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 6047–6052, Florence, Italy. Association for Computational Linguistics."
benefits_of_intermediate_annotations_in_reading_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
duet_imagetext_contrastive_transfer_learning_with_dualadapter_tuning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
missing_modality_meets_meta_sampling_m3s_an_efficient_universal_approach_for_multimodal_sentiment_analysis_with_missing_modality,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
posterior_calibrated_training_on_sentence_classification_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semantic_lexicon_construction_learning_from_unlabeled_data_via_spectral_analysis,May 6 - May 7,2004.0,CoNLL,https://aclanthology.org/W04-2402,ando-2004-semantic,"Rie Kubota Ando. 2004. Semantic Lexicon Construction: Learning from Unlabeled Data via Spectral Analysis. In Proceedings of the Eighth Conference on Computational Natural Language Learning (CoNLL-2004) at HLT-NAACL 2004, pages 9–16, Boston, Massachusetts, USA. Association for Computational Linguistics."
parcoure_a_parallel_corpus_explorer_for_a_massively_multilingual_corpus,August,2021.0,,https://aclanthology.org/2021.acl-demo.8,imanigooghari-etal-2021-parcoure,"Ayyoob Imani, Masoud Jalili Sabet, Philipp Dufter, Michael Cysou, and Hinrich Schütze. 2021. ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations, pages 63–72, Online. Association for Computational Linguistics."
nonautoregressive_neural_machine_translation_a_call_for_clarity,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crosslingual_phrase_retrieval,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
slotconsistent_nlg_for_taskoriented_dialogue_systems_with_iterative_rectification_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
greedycas_unsupervised_scientific_abstract_segmentation_with_normalized_mutual_information,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semisupervised_polarity_lexicon_induction,March,2009.0,EACL,https://aclanthology.org/E09-1077,rao-ravichandran-2009-semi,"Delip Rao and Deepak Ravichandran. 2009. Semi-Supervised Polarity Lexicon Induction. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 675–682, Athens, Greece. Association for Computational Linguistics."
fadvlp_fashion_visionandlanguage_pretraining_towards_unified_retrieval_and_captioning,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.716,mirchandani-etal-2022-fad,"Suvir Mirchandani, Licheng Yu, Mengjiao Wang, Animesh Sinha, Wenwen Jiang, Tao Xiang, and Ning Zhang. 2022. FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10484–10497, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
empirical_linguistic_study_of_sentence_embeddings,July,2019.0,ACL,https://aclanthology.org/P19-1573,krasnowska-kieras-wroblewska-2019-empirical,"Katarzyna Krasnowska-Kieraś and Alina Wróblewska. 2019. Empirical Linguistic Study of Sentence Embeddings. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 5729–5739, Florence, Italy. Association for Computational Linguistics."
bridging_the_gap_between_decision_and_logits_in_decisionbased_knowledge_distillation_for_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
stanza_a_python_natural_language_processing_toolkit_for_many_human_languages,July,2020.0,ACL,https://aclanthology.org/2020.acl-demos.14,qi-etal-2020-stanza,"Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton, and Christopher D. Manning. 2020. Stanza: A Python Natural Language Processing Toolkit for Many Human Languages. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 101–108, Online. Association for Computational Linguistics."
subcatlmf_fleshing_out_a_standardized_format_for_subcategorization_frame_interoperability,April,2012.0,EACL,https://aclanthology.org/E12-1056,eckle-kohler-gurevych-2012-subcat,"Judith Eckle-Kohler and Iryna Gurevych. 2012. Subcat-LMF: Fleshing out a standardized format for subcategorization frame interoperability. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 550–560, Avignon, France. Association for Computational Linguistics."
selfrepetition_in_abstractive_neural_summarizers,November,2022.0,,https://aclanthology.org/2022.aacl-short.42,salkar-etal-2022-self,"Nikita Salkar, Thomas Trikalinos, Byron Wallace, and Ani Nenkova. 2022. Self-Repetition in Abstractive Neural Summarizers. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 341–350, Online only. Association for Computational Linguistics."
you_might_think_about_slightly_revising_the_title_identifying_hedges_in_peertutoring_interactions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rewriterevaluator_architecture_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploiting_emojis_for_abusive_language_detection,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.28,wiegand-ruppenhofer-2021-exploiting,"Michael Wiegand and Josef Ruppenhofer. 2021. Exploiting Emojis for Abusive Language Detection. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 369–380, Online. Association for Computational Linguistics."
boosting_entity_linking_performance_by_leveraging_unlabeled_documents,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
robust_zeroshot_crossdomain_slot_filling_with_example_values,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_chinese_pretrained_language_model_via_heterogeneous_linguistics_graph,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reading_order_matters_information_extraction_from_visuallyrich_documents_by_token_path_prediction,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.846,zhang-etal-2023-reading,"Chong Zhang, Ya Guo, Yi Tu, Huan Chen, Jinyang Tang, Huijia Zhu, Qi Zhang, and Tao Gui. 2023. Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13716–13730, Singapore. Association for Computational Linguistics."
ctcbased_compression_for_direct_speech_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
challenge_or_empower_revisiting_argumentation_quality_in_a_news_editorial_corpus,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_transitionbased_system_for_universal_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
investigating_gis_and_smoothing_for_maximum_entropy_taggers,April,2003.0,EACL,https://aclanthology.org/E03-1071,curran-clark-2003-investigating,"James R. Curran and Stephen Clark. 2003. Investigating GIS and Smoothing for Maximum Entropy Taggers. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
weakly_supervised_hierarchical_multitask_classification_of_customer_questions,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.75,rana-etal-2023-weakly,"Jitenkumar Rana, Promod Yenigalla, Chetan Aggarwal, Sandeep Sricharan Mukku, Manan Soni, and Rashmi Patange. 2023. Weakly supervised hierarchical multi-task classification of customer questions. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 786–793, Toronto, Canada. Association for Computational Linguistics."
docred_a_largescale_documentlevel_relation_extraction_dataset,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sequence_tagging_with_contextual_and_noncontextual_subword_representations_a_multilingual_evaluation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_from_dialogue_after_deployment_feed_yourself_chatbot,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
merging_experts_into_one_improving_computational_efficiency_of_mixture_of_experts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
psycholinguistic_tripartite_graph_network_for_personality_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semantic_role_labelling_with_chunk_sequences,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crab_assessing_the_strength_of_causal_relationships_between_realworld_events,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.940,romanou-etal-2023-crab,"Angelika Romanou, Syrielle Montariol, Debjit Paul, Leo Laugier, Karl Aberer, and Antoine Bosselut. 2023. CRAB: Assessing the Strength of Causal Relationships Between Real-world Events. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15198–15216, Singapore. Association for Computational Linguistics."
more_than_spoken_words_nonverbal_message_extraction_and_generation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.1021,yu-etal-2023-spoken,"Dian Yu, Xiaoyang Wang, Wanshun Chen, Nan Du, Longyue Wang, Haitao Mi, and Dong Yu. 2023. More Than Spoken Words: Nonverbal Message Extraction and Generation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16396–16413, Singapore. Association for Computational Linguistics."
measuring_and_improving_berts_mathematical_abilities_by_predicting_the_order_of_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
metalearning_fast_weight_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
persuasion_for_good_towards_a_personalized_persuasive_dialogue_system_for_social_good,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
seegull_multilingual_a_dataset_of_geoculturally_situated_stereotypes,August,2024.0,ACL,https://aclanthology.org/2024.acl-short.75,bhutani-etal-2024-seegull,"Mukul Bhutani, Kevin Robinson, Vinodkumar Prabhakaran, Shachi Dave, and Sunipa Dev. 2024. SeeGULL Multilingual: a Dataset of Geo-Culturally Situated Stereotypes. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 842–854, Bangkok, Thailand. Association for Computational Linguistics."
climp_a_benchmark_for_chinese_language_model_evaluation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.242,xiang-etal-2021-climp,"Beilei Xiang, Changbing Yang, Yu Li, Alex Warstadt, and Katharina Kann. 2021. CLiMP: A Benchmark for Chinese Language Model Evaluation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2784–2790, Online. Association for Computational Linguistics."
multimodal_generation_of_radiology_reports_using_knowledgegrounded_extraction_of_entities_and_relations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
matching_the_blanks_distributional_similarity_for_relation_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reliability_and_learnability_of_human_bandit_feedback_for_sequencetosequence_reinforcement_learning,July,2018.0,ACL,https://aclanthology.org/P18-1165,kreutzer-etal-2018-reliability,"Julia Kreutzer, Joshua Uyheng, and Stefan Riezler. 2018. Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1777–1788, Melbourne, Australia. Association for Computational Linguistics."
sketchguided_constrained_decoding_for_boosting_blackbox_large_language_models_without_logit_access,August,2024.0,ACL,https://aclanthology.org/2024.acl-short.23,geng-etal-2024-sketch,"Saibo Geng, Berkay Döner, Chris Wendler, Martin Josifoski, and Robert West. 2024. Sketch-Guided Constrained Decoding for Boosting Blackbox Large Language Models without Logit Access. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 234–245, Bangkok, Thailand. Association for Computational Linguistics."
semisupervised_clustering_for_short_text_via_deep_representation_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multiqa_an_empirical_investigation_of_generalization_and_transfer_in_reading_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mluke_the_power_of_entity_representations_in_multilingual_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semantic_structure_enhanced_event_causality_identification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
glgin_fast_and_accurate_nonautoregressive_model_for_joint_multiple_intent_detection_and_slot_filling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
query_structure_modeling_for_inductive_logical_reasoning_over_knowledge_graphs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_datadriven_investigation_of_corrective_feedback_on_subject_omission_errors_in_first_language_acquisition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_bias_mitigation_through_bias_experts_in_natural_language_understanding,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.681,jeon-etal-2023-improving,"Eojin Jeon, Mingyu Lee, Juhyeong Park, Yeachan Kim, Wing-Lam Mok, and SangKeun Lee. 2023. Improving Bias Mitigation through Bias Experts in Natural Language Understanding. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11053–11066, Singapore. Association for Computational Linguistics."
proformer_towards_ondevice_lsh_projection_based_transformers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
focus_on_the_targets_vocabulary_masked_label_smoothing_for_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
probabilistic_parsing_action_models_for_multilingual_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
can_lms_learn_new_entities_from_descriptions_challenges_in_propagating_injected_knowledge,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adversarial_multitask_learning_for_joint_multifeature_and_multidialect_morphological_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crossdocument_event_coreference_search_task_dataset_and_modeling,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.58,eirew-etal-2022-cross,"Alon Eirew, Avi Caciularu, and Ido Dagan. 2022. Cross-document Event Coreference Search: Task, Dataset and Modeling. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 900–913, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
cogmg_collaborative_augmentation_between_large_language_model_and_knowledge_graph,August,2024.0,ACL,https://aclanthology.org/2024.acl-demos.35,zhou-etal-2024-cogmg,"Tong Zhou, Yubo Chen, Kang Liu, and Jun Zhao. 2024. CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 365–373, Bangkok, Thailand. Association for Computational Linguistics."
joint_incremental_disfluency_detection_and_utterance_segmentation_from_speech,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mgr_multigenerator_based_rationalization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_crossdomain_transferable_neural_coherence_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
socratic_pretraining_questiondriven_pretraining_for_controllable_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modeling_content_identification_from_document_images,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dynasemble_dynamic_ensembling_of_textual_and_structurebased_models_for_knowledge_graph_completion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enriching_word_embeddings_with_temporal_and_spatial_information,November,2020.0,CoNLL,https://aclanthology.org/2020.conll-1.1,gong-etal-2020-enriching,"Hongyu Gong, Suma Bhat, and Pramod Viswanath. 2020. Enriching Word Embeddings with Temporal and Spatial Information. In Proceedings of the 24th Conference on Computational Natural Language Learning, pages 1–11, Online. Association for Computational Linguistics."
constrained_multitask_learning_for_bridging_resolution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tdnn_a_twostage_deep_neural_network_for_promptindependent_automated_essay_scoring,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generate_delete_and_rewrite_a_threestage_framework_for_improving_persona_consistency_of_dialogue_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
clickbait_spoiling_via_question_answering_and_passage_retrieval,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
finding_structural_knowledge_in_multimodalbert,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
babeldomains_largescale_domain_labeling_of_lexical_resources,April,2017.0,EACL,https://aclanthology.org/E17-2036,camacho-collados-navigli-2017-babeldomains,"Jose Camacho-Collados and Roberto Navigli. 2017. BabelDomains: Large-Scale Domain Labeling of Lexical Resources. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 223–228, Valencia, Spain. Association for Computational Linguistics."
zeroshot_learning_of_classifiers_from_natural_language_quantification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sdpjaist_a_shallow_discourse_parsing_system__conll_2016_shared_task,August,2016.0,CoNLL,https://aclanthology.org/K16-2020,nguyen-2016-sdp,"Minh Nguyen. 2016. SDP-JAIST: A Shallow Discourse Parsing system @ CoNLL 2016 Shared Task. In Proceedings of the CoNLL-16 shared task, pages 143–149, Berlin, Germany. Association for Computational Linguistics."
zeroshot_north_korean_to_english_neural_machine_translation_by_character_tokenization_and_phoneme_decomposition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ondevice_text_representations_robust_to_misspellings_via_projections,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.250,sankar-etal-2021-device,"Chinnadhurai Sankar, Sujith Ravi, and Zornitsa Kozareva. 2021. On-Device Text Representations Robust To Misspellings via Projections. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2871–2876, Online. Association for Computational Linguistics."
sltev_comprehensive_evaluation_of_spoken_language_translation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-demos.9,ansari-etal-2021-sltev,"Ebrahim Ansari, Ondřej Bojar, Barry Haddow, and Mohammad Mahmoudi. 2021. SLTEV: Comprehensive Evaluation of Spoken Language Translation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 71–79, Online. Association for Computational Linguistics."
phase_learning_emotional_phaseaware_representations_for_suicide_ideation_detection_on_social_media,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.205,sawhney-etal-2021-phase,"Ramit Sawhney, Harshit Joshi, Lucie Flek, and Rajiv Ratn Shah. 2021. PHASE: Learning Emotional Phase-aware Representations for Suicide Ideation Detection on Social Media. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2415–2428, Online. Association for Computational Linguistics."
learning_syntactic_dense_embedding_with_correlation_graph_for_automatic_readability_assessment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multidocument_summarization_of_evaluative_text,April,2006.0,EACL,https://aclanthology.org/E06-1039,carenini-etal-2006-multi,"Giuseppe Carenini, Raymond Ng, and Adam Pauls. 2006. Multi-Document Summarization of Evaluative Text. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 305–312, Trento, Italy. Association for Computational Linguistics."
analogyguided_evolutionary_pretraining_of_binary_word_embeddings,November,2022.0,,https://aclanthology.org/2022.aacl-main.52,knipper-etal-2022-analogy,"R. Alexander Knipper, Md. Mahadi Hassan, Mehdi Sadi, and Shubhra Kanti Karmaker Santu. 2022. Analogy-Guided Evolutionary Pretraining of Binary Word Embeddings. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 683–693, Online only. Association for Computational Linguistics."
learning_from_revisions_quality_assessment_of_claims_in_argumentation_at_scale,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.147,skitalinskaya-etal-2021-learning,"Gabriella Skitalinskaya, Jonas Klaff, and Henning Wachsmuth. 2021. Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1718–1729, Online. Association for Computational Linguistics."
compositional_generalization_and_natural_language_variation_can_a_semantic_parsing_approach_handle_both,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tools_impact_on_the_quality_of_annotations_for_chat_untangling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
interpretability_for_morphological_inflection_from_characterlevel_predictions_to_subwordlevel_rules,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.278,ruzsics-etal-2021-interpretability,"Tatyana Ruzsics, Olga Sozinova, Ximena Gutierrez-Vasques, and Tanja Samardzic. 2021. Interpretability for Morphological Inflection: from Character-level Predictions to Subword-level Rules. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3189–3201, Online. Association for Computational Linguistics."
adaptive_and_personalized_exercise_generation_for_online_language_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
datalab_a_platform_for_data_analysis_and_intervention,May,2022.0,ACL,https://aclanthology.org/2022.acl-demo.18,xiao-etal-2022-datalab,"Yang Xiao, Jinlan Fu, Weizhe Yuan, Vijay Viswanathan, Zhoumianze Liu, Yixin Liu, Graham Neubig, and Pengfei Liu. 2022. DataLab: A Platform for Data Analysis and Intervention. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 182–195, Dublin, Ireland. Association for Computational Linguistics."
improving_nonautoregressive_neural_machine_translation_with_monolingual_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cogie_an_information_extraction_toolkit_for_bridging_texts_and_cognet,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_method_for_studying_semantic_construal_in_grammatical_constructions_with_interpretable_contextual_embedding_spaces,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
does_the_correctness_of_factual_knowledge_matter_for_factual_knowledgeenhanced_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
predicting_declension_class_from_form_and_meaning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modeling_persuasive_discourse_to_adaptively_support_students_argumentative_writing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
grounded_pcfg_induction_with_images,December,2020.0,AACL,https://aclanthology.org/2020.aacl-main.42,jin-schuler-2020-grounded,"Lifeng Jin and William Schuler. 2020. Grounded PCFG Induction with Images. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, pages 396–408, Suzhou, China. Association for Computational Linguistics."
abductive_commonsense_reasoning_exploiting_mutually_exclusive_explanations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
newsclaims_a_new_benchmark_for_claim_detection_from_news_with_attribute_knowledge,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.403,gangi-reddy-etal-2022-newsclaims,"Revanth Gangi Reddy, Sai Chetan Chinthakindi, Zhenhailong Wang, Yi Fung, Kathryn Conger, Ahmed ELsayed, Martha Palmer, Preslav Nakov, Eduard Hovy, Kevin Small, and Heng Ji. 2022. NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6002–6018, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
neural_relation_extraction_for_knowledge_base_enrichment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
instancebased_learning_of_span_representations_a_case_study_through_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hard_and_soft_evaluation_of_nlp_models_with_bootstrap_sampling__boostsa,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_adversarial_training_for_semisupervised_japanese_predicateargument_structure_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tree_kernelbased_relation_extraction_with_contextsensitive_structured_parse_tree_information,June,2007.0,,https://aclanthology.org/D07-1076,zhou-etal-2007-tree,"GuoDong Zhou, Min Zhang, Dong Hong Ji, and QiaoMing Zhu. 2007. Tree Kernel-Based Relation Extraction with Context-Sensitive Structured Parse Tree Information. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 728–736, Prague, Czech Republic. Association for Computational Linguistics."
mlqa_evaluating_crosslingual_extractive_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_contrastmedium_algorithm_taxonomy_induction_from_noisy_knowledge_graphs_with_just_a_few_links,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
text_representation_distillation_via_information_bottleneck_principle,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.888,zhang-etal-2023-text,"Yanzhao Zhang, Dingkun Long, Zehan Li, and Pengjun Xie. 2023. Text Representation Distillation via Information Bottleneck Principle. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 14372–14383, Singapore. Association for Computational Linguistics."
investigating_wordclass_distributions_in_word_vector_spaces,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ulisse_an_unsupervised_algorithm_for_detecting_reliable_dependency_parses,June,2011.0,CoNLL,https://aclanthology.org/W11-0314,dellorletta-etal-2011-ulisse,"Felice Dell’Orletta, Giulia Venturi, and Simonetta Montemagni. 2011. ULISSE: an Unsupervised Algorithm for Detecting Reliable Dependency Parses. In Proceedings of the Fifteenth Conference on Computational Natural Language Learning, pages 115–124, Portland, Oregon, USA. Association for Computational Linguistics."
storyboarding_of_recipes_grounded_contextual_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_interpret_utterances_using_dialogue_history,March,2009.0,EACL,https://aclanthology.org/E09-1022,devault-stone-2009-learning,"David DeVault and Matthew Stone. 2009. Learning to Interpret Utterances Using Dialogue History. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 184–192, Athens, Greece. Association for Computational Linguistics."
adaptive_contrastive_learning_on_multimodal_transformer_for_review_helpfulness_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatic_extraction_of_news_values_from_headline_text,April,2017.0,EACL,https://aclanthology.org/E17-4007,piotrkowicz-etal-2017-automatic,"Alicja Piotrkowicz, Vania Dimitrova, and Katja Markert. 2017. Automatic Extraction of News Values from Headline Text. In Proceedings of the Student Research Workshop at the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 64–74, Valencia, Spain. Association for Computational Linguistics."
textpruner_a_model_pruning_toolkit_for_pretrained_language_models,May,2022.0,ACL,https://aclanthology.org/2022.acl-demo.4,yang-etal-2022-textpruner,"Ziqing Yang, Yiming Cui, and Zhigang Chen. 2022. TextPruner: A Model Pruning Toolkit for Pre-Trained Language Models. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 35–43, Dublin, Ireland. Association for Computational Linguistics."
two_birds_one_stone_dynamic_ensemble_for_ood_intent_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
contextual_distortion_reveals_constituency_masked_language_models_are_implicit_parsers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hierarchical_contextaware_network_for_dense_video_event_captioning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
selection_bias_explorations_and_debias_methods_for_natural_language_sentence_matching_datasets,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
taylors_law_for_human_linguistic_sequences,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
retrofitting_lightweight_language_models_for_emotions_using_supervised_contrastive_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
touch_editing_a_flexible_onetime_interaction_approach_for_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
visionlanguage_pretraining_for_multimodal_aspectbased_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilevel_knowledge_distillation_for_outofdistribution_detection_in_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
discourse_relation_sense_classification_using_crossargument_semantic_similarity_based_on_word_embeddings,August,2016.0,CoNLL,https://aclanthology.org/K16-2014,mihaylov-frank-2016-discourse,"Todor Mihaylov and Anette Frank. 2016. Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings. In Proceedings of the CoNLL-16 shared task, pages 100–107, Berlin, Germany. Association for Computational Linguistics."
chartdialogs_plotting_from_natural_language_instructions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
descriptive_knowledge_graph_in_biomedical_domain,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
would_you_rather_a_new_benchmark_for_learning_machine_alignment_with_cultural_values_and_social_preferences,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
text_classification_through_glyphaware_disentangled_character_embedding_and_semantic_subcharacter_augmentation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
finetuning_happens_in_tiny_subspaces_exploring_intrinsic_taskspecific_subspaces_of_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dream_deployment_of_recombination_and_ensembles_in_argument_mining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_simple_and_effective_framework_for_strict_zeroshot_hierarchical_classification,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.152,bhambhoria-etal-2023-simple,"Rohan Bhambhoria, Lei Chen, and Xiaodan Zhu. 2023. A Simple and Effective Framework for Strict Zero-Shot Hierarchical Classification. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1782–1792, Toronto, Canada. Association for Computational Linguistics."
what_is_the_best_recipe_for_characterlevel_encoderonly_modelling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
is_word_segmentation_childs_play_in_all_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
using_minimal_recursion_semantics_for_entailment_recognition,April,2014.0,EACL,https://aclanthology.org/E14-3009,lien-2014-using,"Elisabeth Lien. 2014. Using Minimal Recursion Semantics for Entailment Recognition. In Proceedings of the Student Research Workshop at the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 76–84, Gothenburg, Sweden. Association for Computational Linguistics."
ifqa_a_dataset_for_opendomain_question_answering_under_counterfactual_presuppositions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
edis_entitydriven_image_search_over_multimodal_web_content,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_multifaceted_evaluation_of_neural_versus_phrasebased_machine_translation_for_9_language_directions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
code_generation_from_natural_language_with_less_prior_knowledge_and_more_monolingual_data,August,2021.0,,https://aclanthology.org/2021.acl-short.98,norouzi-etal-2021-code,"Sajad Norouzi, Keyi Tang, and Yanshuai Cao. 2021. Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 776–785, Online. Association for Computational Linguistics."
textflint_unified_multilingual_robustness_evaluation_toolkit_for_natural_language_processing,August,2021.0,,https://aclanthology.org/2021.acl-demo.41,wang-etal-2021-textflint,"Xiao Wang, Qin Liu, Tao Gui, Qi Zhang, Yicheng Zou, Xin Zhou, Jiacheng Ye, Yongxin Zhang, Rui Zheng, Zexiong Pang, Qinzhuo Wu, Zhengyan Li, Chong Zhang, Ruotian Ma, Zichu Fei, Ruijian Cai, Jun Zhao, Xingwu Hu, Zhiheng Yan, et al.. 2021. TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations, pages 347–355, Online. Association for Computational Linguistics."
unsupervised_alignmentbased_iterative_evidence_retrieval_for_multihop_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_openworld_product_attribute_mining_a_lightlysupervised_approach,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
discrete_cosine_transform_as_universal_sentence_encoder,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
is_a_question_decomposition_unit_all_we_need,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generationbased_data_augmentation_for_offensive_language_detection_is_it_worth_it,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
effects_of_meaningpreserving_corrections_on_language_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
care_collaborative_aiassisted_reading_environment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
coder_an_efficient_framework_for_improving_retrieval_through_contextual_document_embedding_reranking,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.727,zerveas-etal-2022-coder,"George Zerveas, Navid Rekabsaz, Daniel Cohen, and Carsten Eickhoff. 2022. CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10626–10644, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
neuralreg_an_endtoend_approach_to_referring_expression_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multireference_benchmarks_for_russian_grammatical_error_correction,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.76,palma-gomez-rozovskaya-2024-multi,"Frank Palma Gomez and Alla Rozovskaya. 2024. Multi-Reference Benchmarks for Russian Grammatical Error Correction. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1253–1270, St. Julian’s, Malta. Association for Computational Linguistics."
are_red_roses_red_evaluating_consistency_of_questionanswering_models,November,2024.0,EMNLP,https://aclanthology.org/2024.emnlp-main.1237,gupta-etal-2024-evaluating-concurrent,"Vatsal Gupta, Pranshu Pandya, Tushar Kataria, Vivek Gupta, and Dan Roth. 2024. Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 22162–22184, Miami, Florida, USA. Association for Computational Linguistics."
autoconv_automatically_generating_informationseeking_conversations_with_large_language_models,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.149,li-etal-2023-autoconv,"Siheng Li, Cheng Yang, Yichun Yin, Xinyu Zhu, Zesen Cheng, Lifeng Shang, Xin Jiang, Qun Liu, and Yujiu Yang. 2023. AutoConv: Automatically Generating Information-seeking Conversations with Large Language Models. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1751–1762, Toronto, Canada. Association for Computational Linguistics."
lacma_languagealigning_contrastive_learning_with_metaactions_for_embodied_instruction_following,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
scilit_a_platform_for_joint_scientific_literature_discovery_summarization_and_citation_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generalized_data_augmentation_for_lowresource_translation,July,2019.0,ACL,https://aclanthology.org/P19-1579,xia-etal-2019-generalized,"Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos, and Graham Neubig. 2019. Generalized Data Augmentation for Low-Resource Translation. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 5786–5796, Florence, Italy. Association for Computational Linguistics."
a_major_obstacle_for_nlp_research_lets_talk_about_time_allocation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.612,kann-etal-2022-major,"Katharina Kann, Shiran Dudy, and Arya D. McCarthy. 2022. A Major Obstacle for NLP Research: Let’s Talk about Time Allocation!. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8959–8969, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
discriminative_sentence_compression_with_soft_syntactic_evidence,April,2006.0,EACL,https://aclanthology.org/E06-1038,mcdonald-2006-discriminative,"Ryan McDonald. 2006. Discriminative Sentence Compression with Soft Syntactic Evidence. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 297–304, Trento, Italy. Association for Computational Linguistics."
unipelt_a_unified_framework_for_parameterefficient_language_model_tuning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_spanlevel_bidirectional_network_for_aspect_sentiment_triplet_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
guideline_learning_for_incontext_information_extraction,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.950,pang-etal-2023-guideline,"Chaoxu Pang, Yixuan Cao, Qiang Ding, and Ping Luo. 2023. Guideline Learning for In-Context Information Extraction. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15372–15389, Singapore. Association for Computational Linguistics."
learning_a_matching_model_with_coteaching_for_multiturn_response_selection_in_retrievalbased_dialogue_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_corpus_for_reasoning_about_natural_language_grounded_in_photographs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
divide_conquer_and_combine_mixture_of_semanticindependent_experts_for_zeroshot_dialogue_state_tracking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
salesbot_transitioning_from_chitchat_to_taskoriented_dialogues,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
amr_alignment_for_morphologicallyrich_and_prodrop_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
paratag_a_dataset_of_paraphrase_tagging_for_finegrained_labels_nlg_evaluation_and_data_augmentation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adversarial_contrastive_estimation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pretraining_methods_for_question_reranking,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.41,campese-etal-2024-pre,"Stefano Campese, Ivano Lauriola, and Alessandro Moschitti. 2024. Pre-Training Methods for Question Reranking. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 469–476, St. Julian’s, Malta. Association for Computational Linguistics."
ratsql_relationaware_schema_encoding_and_linking_for_texttosql_parsers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_lexically_constrained_neural_machine_translation_with_sourceconditioned_masked_span_prediction,August,2021.0,,https://aclanthology.org/2021.acl-short.94,lee-etal-2021-improving,"Gyubok Lee, Seongjun Yang, and Edward Choi. 2021. Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 743–753, Online. Association for Computational Linguistics."
multigrained_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fair_text_classification_with_wasserstein_independence,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.978,leteno-etal-2023-fair,"Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Rémi Emonet, and Christophe Gravier. 2023. Fair Text Classification with Wasserstein Independence. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15790–15803, Singapore. Association for Computational Linguistics."
generalizing_procrustes_analysis_for_better_bilingual_dictionary_induction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_parallel_sentence_extraction_with_parallel_segment_detection_helps_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pese_event_structure_extraction_using_pointer_network_based_encoderdecoder_architecture,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neuralbased_mixture_probabilistic_query_embedding_for_answering_fol_queries_on_knowledge_graphs,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.194,long-etal-2022-neural,"Xiao Long, Liansheng Zhuang, Li Aodi, Shafei Wang, and Houqiang Li. 2022. Neural-based Mixture Probabilistic Query Embedding for Answering FOL queries on Knowledge Graphs. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3001–3013, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
demographics_should_not_be_the_reason_of_toxicity_mitigating_discrimination_in_text_classifications_with_instance_weighting,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
find_parent_then_label_children_a_twostage_taxonomy_completion_method_with_pretrained_language_model,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.73,xia-etal-2023-find,"Fei Xia, Yixuan Weng, Shizhu He, Kang Liu, and Jun Zhao. 2023. Find Parent then Label Children: A Two-stage Taxonomy Completion Method with Pre-trained Language Model. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1032–1042, Dubrovnik, Croatia. Association for Computational Linguistics."
adapting_unsupervised_syntactic_parsing_methodology_for_discourse_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
solving_hard_analogy_questions_with_relation_embedding_chains,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
geographic_citation_gaps_in_nlp_research,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.89,rungta-etal-2022-geographic,"Mukund Rungta, Janvijay Singh, Saif M. Mohammad, and Diyi Yang. 2022. Geographic Citation Gaps in NLP Research. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1371–1383, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
diachronic_degradation_of_language_models_insights_from_social_media,July,2018.0,ACL,https://aclanthology.org/P18-2032,jaidka-etal-2018-diachronic,"Kokil Jaidka, Niyati Chhaya, and Lyle Ungar. 2018. Diachronic degradation of language models: Insights from social media. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 195–200, Melbourne, Australia. Association for Computational Linguistics."
modeling_us_statelevel_policies_by_extracting_winners_and_losers_from_legislative_texts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_customize_model_structures_for_fewshot_dialogue_generation_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_dataset_for_hyperrelational_extraction_and_a_cubefilling_approach,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.688,chia-etal-2022-dataset,"Yew Ken Chia, Lidong Bing, Sharifah Mahani Aljunied, Luo Si, and Soujanya Poria. 2022. A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10114–10133, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
unixcoder_unified_crossmodal_pretraining_for_code_representation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_model_multilingual_unrestricted_coreference_in_ontonotes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_neural_language_models_by_segmenting_attending_and_predicting_the_future,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
energybased_modelling_for_dialogue_state_tracking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
structural_pretraining_for_dialogue_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
quantifying_appropriateness_of_summarization_data_for_curriculum_learning,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.119,kano-etal-2021-quantifying,"Ryuji Kano, Takumi Takahashi, Toru Nishino, Motoki Taniguchi, Tomoki Taniguchi, and Tomoko Ohkuma. 2021. Quantifying Appropriateness of Summarization Data for Curriculum Learning. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1395–1405, Online. Association for Computational Linguistics."
a_general_abstract_model_of_incremental_dialogue_processing,March,2009.0,EACL,https://aclanthology.org/E09-1081,schlangen-skantze-2009-general,"David Schlangen and Gabriel Skantze. 2009. A General, Abstract Model of Incremental Dialogue Processing. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 710–718, Athens, Greece. Association for Computational Linguistics."
entailer_answering_questions_with_faithful_and_truthful_chains_of_reasoning,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.134,tafjord-etal-2022-entailer,"Oyvind Tafjord, Bhavana Dalvi Mishra, and Peter Clark. 2022. Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 2078–2093, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
cnn_for_textbased_multiple_choice_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dependency_treebased_srl_with_proper_pruning_and_extensive_feature_engineering,August,2008.0,CoNLL,https://aclanthology.org/W08-2137,wang-etal-2008-dependency,"Hongling Wang, Honglin Wang, Guodong Zhou, and Qiaoming Zhu. 2008. Dependency Tree-based SRL with Proper Pruning and Extensive Feature Engineering. In CoNLL 2008: Proceedings of the Twelfth Conference on Computational Natural Language Learning, pages 253–257, Manchester, England. Coling 2008 Organizing Committee."
focused_prefix_tuning_for_controllable_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_graphbased_approach_to_named_entity_categorization_in_wikipedia_using_conditional_random_fields,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_deeper_autoregressive_approach_to_nonconvergent_discourse_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
codispersion_a_windowless_approach_to_lexical_association,July,2023.0,CODI,https://aclanthology.org/2023.codi-1.8,knaebel-2023-weakly,"René Knaebel. 2023. A Weakly-Supervised Learning Approach to the Identification of “Alternative Lexicalizations” in Shallow Discourse Parsing. In Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023), pages 61–69, Toronto, Canada. Association for Computational Linguistics."
stock_embeddings_acquired_from_news_articles_and_price_history_and_an_application_to_portfolio_optimization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multitask_learning_for_automated_essay_scoring_with_sentiment_analysis,December,2020.0,AACL,https://aclanthology.org/2020.aacl-srw.17,muangkammuen-fukumoto-2020-multi,"Panitan Muangkammuen and Fumiyo Fukumoto. 2020. Multi-task Learning for Automated Essay Scoring with Sentiment Analysis. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: Student Research Workshop, pages 116–123, Suzhou, China. Association for Computational Linguistics."
crosscultural_analysis_of_human_values_morals_and_biases_in_folk_tales,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
can_lms_generalize_to_future_data_an_empirical_analysis_on_text_summarization,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.1007,cheang-etal-2023-lms,"Chi Cheang, Hou Chan, Derek Wong, Xuebo Liu, Zhaocong Li, Yanming Sun, Shudong Liu, and Lidia Chao. 2023. Can LMs Generalize to Future Data? An Empirical Analysis on Text Summarization. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16205–16217, Singapore. Association for Computational Linguistics."
crosssentence_grammatical_error_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
perplexity_minimization_for_translation_model_domain_adaptation_in_statistical_machine_translation,April,2012.0,EACL,https://aclanthology.org/E12-1055,sennrich-2012-perplexity,"Rico Sennrich. 2012. Perplexity Minimization for Translation Model Domain Adaptation in Statistical Machine Translation. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 539–549, Avignon, France. Association for Computational Linguistics."
spel_structured_prediction_for_entity_linking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
wukongreader_multimodal_pretraining_for_finegrained_visual_document_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
extracting_data_records_from_unstructured_biomedical_full_text,June,2007.0,,https://aclanthology.org/D07-1088,feng-etal-2007-extracting,"Donghui Feng, Gully Burns, and Eduard Hovy. 2007. Extracting Data Records from Unstructured Biomedical Full Text. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 837–846, Prague, Czech Republic. Association for Computational Linguistics."
star_crossmodal_statement_representation_for_selecting_relevant_mathematical_premises,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.282,ferreira-freitas-2021-star,"Deborah Ferreira and André Freitas. 2021. STAR: Cross-modal [STA]tement [R]epresentation for selecting relevant mathematical premises. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3234–3243, Online. Association for Computational Linguistics."
learn_to_adapt_for_generalized_zeroshot_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
online_dialogue_policy_learning_with_companion_teaching,April,2017.0,EACL,https://aclanthology.org/E17-2032,chen-etal-2017-line,"Lu Chen, Runzhe Yang, Cheng Chang, Zihao Ye, Xiang Zhou, and Kai Yu. 2017. On-line Dialogue Policy Learning with Companion Teaching. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 198–204, Valencia, Spain. Association for Computational Linguistics."
clinicalcoder_assigning_interpretable_icd10_codes_to_chinese_clinical_notes,July,2020.0,ACL,https://aclanthology.org/2020.acl-demos.33,cao-etal-2020-clinical,"Pengfei Cao, Chenwei Yan, Xiangling Fu, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu, and Weifeng Chong. 2020. Clinical-Coder: Assigning Interpretable ICD-10 Codes to Chinese Clinical Notes. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 294–301, Online. Association for Computational Linguistics."
improving_beam_search_by_removing_monotonic_constraint_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
weaklysupervised_methods_for_suicide_risk_assessment_role_of_related_domains,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
case_aligning_coarsetofine_cognition_and_affection_for_empathetic_response_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pivotal_role_of_language_modeling_in_recommender_systems_enriching_taskspecific_and_taskagnostic_representation_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
primeqa_the_prime_repository_for_stateoftheart_multilingual_question_answering_research_and_development,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
grawitas_a_grammarbased_wikipedia_talk_page_parser,April,2017.0,EACL,https://aclanthology.org/E17-3006,cabrera-etal-2017-grawitas,"Benjamin Cabrera, Laura Steinert, and Björn Ross. 2017. GraWiTas: a Grammar-based Wikipedia Talk Page Parser. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 21–24, Valencia, Spain. Association for Computational Linguistics."
fastr2d2_a_pretrained_recursive_neural_network_based_on_pruned_cky_for_grammar_induction_and_text_representation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.181,hu-etal-2022-fast,"Xiang Hu, Haitao Mi, Liang Li, and Gerard de Melo. 2022. Fast-R2D2: A Pretrained Recursive Neural Network based on Pruned CKY for Grammar Induction and Text Representation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 2809–2821, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
selfsupervised_and_controlled_multidocument_opinion_summarization,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.141,elsahar-etal-2021-self,"Hady Elsahar, Maximin Coavoux, Jos Rozen, and Matthias Gallé. 2021. Self-Supervised and Controlled Multi-Document Opinion Summarization. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1646–1662, Online. Association for Computational Linguistics."
gradientbased_language_model_red_teaming,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.175,wichers-etal-2024-gradient,"Nevan Wichers, Carson Denison, and Ahmad Beirami. 2024. Gradient-Based Language Model Red Teaming. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2862–2881, St. Julian’s, Malta. Association for Computational Linguistics."
input_representations_for_parsing_discourse_representation_structures_comparing_english_with_chinese,August,2021.0,,https://aclanthology.org/2021.acl-short.97,wang-etal-2021-input,"Chunliu Wang, Rik van Noord, Arianna Bisazza, and Johan Bos. 2021. Input Representations for Parsing Discourse Representation Structures: Comparing English with Chinese. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 767–775, Online. Association for Computational Linguistics."
weakly_supervised_named_entity_tagging_with_learnable_logical_rules,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_explain_answering_whyquestions_via_rephrasing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
named_entity_recognition_for_catalan_using_only_spanish_resources_and_unlabelled_data,April,2003.0,EACL,https://aclanthology.org/E03-1038,carreras-etal-2003-named,"Xavier Carreras, Lluís Màrquez, and Lluís Padró. 2003. Named Entity Recognition For Catalan Using Only Spanish Resources and Unlabelled Data. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
learning_to_ask_good_questions_ranking_clarification_questions_using_neural_expected_value_of_perfect_information,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
summarizing_communitybased_questionanswer_pairs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
deep_subjecthood_higherorder_grammatical_features_in_multilingual_bert,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.215,papadimitriou-etal-2021-deep,"Isabel Papadimitriou, Ethan A. Chi, Richard Futrell, and Kyle Mahowald. 2021. Deep Subjecthood: Higher-Order Grammatical Features in Multilingual BERT. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2522–2532, Online. Association for Computational Linguistics."
identifying_events_using_similarity_and_context,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
linguistic_representations_for_fewershot_relation_extraction_across_domains,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dataefficient_strategies_for_expanding_hate_speech_detection_into_underresourced_languages,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.383,rottger-etal-2022-data,"Paul Röttger, Debora Nozza, Federico Bianchi, and Dirk Hovy. 2022. Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5674–5691, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
toward_zeroshot_instruction_following,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
alanno_an_active_learning_annotation_system_for_mortals,May,2023.0,EACL,https://aclanthology.org/2023.eacl-demo.26,jukic-etal-2023-alanno,"Josip Jukić, Fran Jelenić, Miroslav Bićanić, and Jan Snajder. 2023. ALANNO: An Active Learning Annotation System for Mortals. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 228–235, Dubrovnik, Croatia. Association for Computational Linguistics."
cascading_biases_investigating_the_effect_of_heuristic_annotation_strategies_on_data_and_models,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.438,malaviya-etal-2022-cascading,"Chaitanya Malaviya, Sudeep Bhatia, and Mark Yatskar. 2022. Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6525–6540, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
an_adaptive_logical_rule_embedding_model_for_inductive_reasoning_over_temporal_knowledge_graphs,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.493,mei-etal-2022-adaptive,"Xin Mei, Libin Yang, Xiaoyan Cai, and Zuowei Jiang. 2022. An Adaptive Logical Rule Embedding Model for Inductive Reasoning over Temporal Knowledge Graphs. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7304–7316, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
bidirectional_generative_framework_for_crossdomain_aspectbased_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cdrnn_discovering_complex_dynamics_in_human_language_processing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
indicxnli_evaluating_multilingual_inference_for_indian_languages,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.755,aggarwal-etal-2022-indicxnli,"Divyanshu Aggarwal, Vivek Gupta, and Anoop Kunchukuttan. 2022. IndicXNLI: Evaluating Multilingual Inference for Indian Languages. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10994–11006, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
a_pipeline_approach_for_syntactic_and_semantic_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cmot_crossmodal_mixup_via_optimal_transport_for_speech_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generating_scientific_definitions_with_controllable_complexity,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
retrack_a_flexible_and_efficient_framework_for_knowledge_base_question_answering,August,2021.0,,https://aclanthology.org/2021.acl-demo.39,chen-etal-2021-retrack,"Shuang Chen, Qian Liu, Zhiwei Yu, Chin-Yew Lin, Jian-Guang Lou, and Feng Jiang. 2021. ReTraCk: A Flexible and Efficient Framework for Knowledge Base Question Answering. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations, pages 325–336, Online. Association for Computational Linguistics."
semantic_role_recognition_using_kernels_on_weighted_marked_ordered_labeled_trees,June,2006.0,CoNLL,https://aclanthology.org/W06-2908,kazama-torisawa-2006-semantic,"Jun’ichi Kazama and Kentaro Torisawa. 2006. Semantic Role Recognition Using Kernels on Weighted Marked Ordered Labeled Trees. In Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X), pages 53–60, New York City. Association for Computational Linguistics."
poisoning_knowledge_graph_embeddings_via_relation_inference_patterns,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
what_the_daam_interpreting_stable_diffusion_using_cross_attention,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dialogved_a_pretrained_latent_variable_encoderdecoder_model_for_dialog_response_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
identification_of_alias_links_among_participants_in_narratives,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_figure_of_merit_for_the_evaluation_of_webcorpus_randomness,April,2006.0,EACL,https://aclanthology.org/E06-1028,ciaramita-baroni-2006-figure,"Massimiliano Ciaramita and Marco Baroni. 2006. A Figure of Merit for the Evaluation of Web-Corpus Randomness. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 217–224, Trento, Italy. Association for Computational Linguistics."
multilevel_contrastive_learning_for_scriptbased_character_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
spindle_spinning_raw_text_into_lambda_terms_with_graph_attention,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
simple_and_effective_unsupervised_speech_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
coad_automatic_diagnosis_through_symptom_and_disease_collaborative_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
vscript_controllable_script_generation_with_visual_presentation,November,2022.0,,https://aclanthology.org/2022.aacl-demo.1,ji-etal-2022-vscript,"Ziwei Ji, Yan Xu, I-Tsun Cheng, Samuel Cahyawijaya, Rita Frieske, Etsuko Ishii, Min Zeng, Andrea Madotto, and Pascale Fung. 2022. VScript: Controllable Script Generation with Visual Presentation. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: System Demonstrations, pages 1–8, Taipei, Taiwan. Association for Computational Linguistics."
discourse_coherence_concurrent_explicit_and_implicit_relations,July,2018.0,ACL,https://aclanthology.org/P18-1210,rohde-etal-2018-discourse,"Hannah Rohde, Alexander Johnson, Nathan Schneider, and Bonnie Webber. 2018. Discourse Coherence: Concurrent Explicit and Implicit Relations. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2257–2267, Melbourne, Australia. Association for Computational Linguistics."
improving_chinese_story_generation_via_awareness_of_syntactic_dependencies_and_semantics,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cascade_versus_direct_speech_translation_do_the_differences_still_make_a_difference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
clip_a_dataset_for_extracting_action_items_for_physicians_from_hospital_discharge_notes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
kosbi_a_dataset_for_mitigating_social_bias_risks_towards_safer_large_language_model_applications,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
external_knowledge_acquisition_for_endtoend_documentoriented_dialog_systems,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.264,lai-etal-2023-external,"Tuan M. Lai, Giuseppe Castellucci, Saar Kuzi, Heng Ji, and Oleg Rokhlenko. 2023. External Knowledge Acquisition for End-to-End Document-Oriented Dialog Systems. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3633–3647, Dubrovnik, Croatia. Association for Computational Linguistics."
robust_prompt_optimization_for_large_language_models_against_distribution_shifts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
amr_parsing_via_graphsequence_iterative_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dynamic_masking_rate_schedules_for_mlm_pretraining,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.42,ankner-etal-2024-dynamic,"Zachary Ankner, Naomi Saphra, Davis Blalock, Jonathan Frankle, and Matthew Leavitt. 2024. Dynamic Masking Rate Schedules for MLM Pretraining. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 477–487, St. Julian’s, Malta. Association for Computational Linguistics."
on_the_differences_between_bert_and_mt_encoder_spaces_and_how_to_address_them_in_translation_tasks,August,2021.0,,https://aclanthology.org/2021.acl-srw.35,vazquez-etal-2021-differences,"Raúl Vázquez, Hande Celikkanat, Mathias Creutz, and Jörg Tiedemann. 2021. On the differences between BERT and MT encoder spaces and how to address them in translation tasks. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop, pages 337–347, Online. Association for Computational Linguistics."
turn_the_combination_lock_learnable_textual_backdoor_attacks_via_word_substitution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multigranular_aspect_aggregation_in_aspectbased_sentiment_analysis,April,2014.0,EACL,https://aclanthology.org/E14-1009,pavlopoulos-androutsopoulos-2014-multi,"John Pavlopoulos and Ion Androutsopoulos. 2014. Multi-Granular Aspect Aggregation in Aspect-Based Sentiment Analysis. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 78–87, Gothenburg, Sweden. Association for Computational Linguistics."
hybrid_inverted_index_is_a_robust_accelerator_for_dense_retrieval,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
clusterformer_neural_clustering_attention_for_efficient_and_effective_transformer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cutting_the_long_tail_hybrid_language_models_for_translation_style_adaptation,April,2012.0,EACL,https://aclanthology.org/E12-1045,bisazza-federico-2012-cutting,"Arianna Bisazza and Marcello Federico. 2012. Cutting the Long Tail: Hybrid Language Models for Translation Style Adaptation. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 439–448, Avignon, France. Association for Computational Linguistics."
topicguided_sampling_for_dataefficient_multidomain_stance_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tome_a_twostage_approach_for_modelbased_retrieval,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
causal_reasoning_through_two_cognition_layers_for_improving_generalization_in_visual_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
superlim_a_swedish_language_understanding_evaluation_benchmark,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
corpusdriven_thematic_hierarchy_induction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mean_berts_make_erratic_language_teachers_the_effectiveness_of_latent_bootstrapping_in_lowresource_settings,December,2023.0,CoNLL,https://aclanthology.org/2023.conll-babylm.19,samuel-2023-mean,"David Samuel. 2023. Mean BERTs make erratic language teachers: the effectiveness of latent bootstrapping in low-resource settings. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 221–237, Singapore. Association for Computational Linguistics."
models_see_hallucinations_evaluating_the_factuality_in_video_captioning,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.723,liu-wan-2023-models,"Hui Liu and Xiaojun Wan. 2023. Models See Hallucinations: Evaluating the Factuality in Video Captioning. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11807–11823, Singapore. Association for Computational Linguistics."
zeroshot_crosslingual_abstractive_sentence_summarization_through_teaching_generation_and_attention,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
identifying_visible_actions_in_lifestyle_vlogs,July,2019.0,ACL,https://aclanthology.org/P19-1643,ignat-etal-2019-identifying,"Oana Ignat, Laura Burdick, Jia Deng, and Rada Mihalcea. 2019. Identifying Visible Actions in Lifestyle Vlogs. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 6406–6417, Florence, Italy. Association for Computational Linguistics."
exploiting_ccg_structures_with_tree_kernels_for_speculation_detection,July,2010.0,CoNLL,https://aclanthology.org/W10-3018,mamani-sanchez-etal-2010-exploiting,"Liliana Mamani Sánchez, Baoli Li, and Carl Vogel. 2010. Exploiting CCG Structures with Tree Kernels for Speculation Detection. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task, pages 126–131, Uppsala, Sweden. Association for Computational Linguistics."
lingvisio__a_linguistic_visual_analytics_framework,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pawls_pdf_annotation_with_labels_and_structure,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
more_discriminative_sentence_embeddings_via_semantic_graph_smoothing,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.2,fettal-etal-2024-discriminative,"Chakib Fettal, Lazhar Labiod, and Mohamed Nadif. 2024. More Discriminative Sentence Embeddings via Semantic Graph Smoothing. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 8–13, St. Julian’s, Malta. Association for Computational Linguistics."
incremental_text_structuring_with_online_hierarchical_ranking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
uniex_an_effective_and_efficient_framework_for_unified_information_extraction_via_a_spanextractive_perspective,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adapterhub_playground_simple_and_flexible_fewshot_learning_with_adapters,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_robust_and_privacypreserving_text_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
translating_translationese_a_twostep_approach_to_unsupervised_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crosslingual_disasterrelated_multilabel_tweet_classification_with_manifold_mixup,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dont_be_blind_to_questions_questionoriented_math_word_problem_solving,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hierarchical_pretraining_on_multimodal_electronic_health_records,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cline_contrastive_learning_with_semantic_negative_examples_for_natural_language_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
detecting_concealed_information_in_text_and_speech,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_simple_recipe_for_multilingual_grammatical_error_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_new_entity_salience_task_with_millions_of_training_examples,April,2014.0,EACL,https://aclanthology.org/E14-4040,dunietz-gillick-2014-new,"Jesse Dunietz and Daniel Gillick. 2014. A New Entity Salience Task with Millions of Training Examples. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 205–209, Gothenburg, Sweden. Association for Computational Linguistics."
how_distributed_are_distributed_representations_an_observation_on_the_locality_of_syntactic_information_in_verb_agreement_tasks,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.54,li-etal-2022-distributed,"Bingzhi Li, Guillaume Wisniewski, and Benoit Crabbé. 2022. How Distributed are Distributed Representations? An Observation on the Locality of Syntactic Information in Verb Agreement Tasks. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 501–507, Dublin, Ireland. Association for Computational Linguistics."
beyond_shared_vocabulary_increasing_representational_word_similarities_across_languages_for_multilingual_machine_translation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.605,wu-monz-2023-beyond,"Di Wu and Christof Monz. 2023. Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 9749–9764, Singapore. Association for Computational Linguistics."
outlier_dimensions_encode_task_specific_knowledge,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.901,rudman-etal-2023-outlier,"William Rudman, Catherine Chen, and Carsten Eickhoff. 2023. Outlier Dimensions Encode Task Specific Knowledge. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 14596–14605, Singapore. Association for Computational Linguistics."
generating_inflectional_errors_for_grammatical_error_correction_in_hindi,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
causaldebias_unifying_debiasing_in_pretrained_language_models_and_finetuning_via_causal_invariant_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
are_all_steps_equally_important_benchmarking_essentiality_detection_in_event_processes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ppt_pretrained_prompt_tuning_for_fewshot_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rich_knowledge_sources_bring_complex_knowledge_conflicts_recalibrating_models_to_reflect_conflicting_evidence,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.146,chen-etal-2022-rich,"Hung-Ting Chen, Michael Zhang, and Eunsol Choi. 2022. Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 2292–2307, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
compact_token_representations_with_contextual_quantization_for_efficient_document_reranking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modeling_user_satisfaction_dynamics_in_dialogue_via_hawkes_process,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_multitask_approach_to_learning_multilingual_representations,July,2018.0,ACL,https://aclanthology.org/P18-2035,singla-etal-2018-multi,"Karan Singla, Dogan Can, and Shrikanth Narayanan. 2018. A Multi-task Approach to Learning Multilingual Representations. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 214–220, Melbourne, Australia. Association for Computational Linguistics."
verb_metaphor_detection_via_contextual_relation_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
does_my_representation_capture_x_probeably,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
do_we_really_need_all_those_rich_linguistic_features_a_neural_networkbased_approach_to_implicit_sense_labeling,August,2016.0,CoNLL,https://aclanthology.org/K16-2005,schenk-etal-2016-really,"Niko Schenk, Christian Chiarcos, Kathrin Donandt, Samuel Rönnqvist, Evgeny Stepanov, and Giuseppe Riccardi. 2016. Do We Really Need All Those Rich Linguistic Features? A Neural Network-Based Approach to Implicit Sense Labeling. In Proceedings of the CoNLL-16 shared task, pages 41–49, Berlin, Germany. Association for Computational Linguistics."
damp_doubly_aligned_multilingual_parser_for_taskoriented_dialogue,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_translation_quality_by_discarding_most_of_the_phrasetable,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_encoder_by_auxiliary_supervision_tasks_for_tabletotext_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hiarg_exploring_the_integration_of_hierarchical_argumentation_graphs_in_language_pretraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
espnetstv2_multipurpose_spoken_language_translation_toolkit,July,2023.0,ACL,https://aclanthology.org/2023.acl-demo.38,yan-etal-2023-espnet,"Brian Yan, Jiatong Shi, Yun Tang, Hirofumi Inaguma, Yifan Peng, Siddharth Dalmia, Peter Polák, Patrick Fernandes, Dan Berrebbi, Tomoki Hayashi, Xiaohui Zhang, Zhaoheng Ni, Moto Hira, Soumi Maiti, Juan Pino, and Shinji Watanabe. 2023. ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 400–411, Toronto, Canada. Association for Computational Linguistics."
knowledge_enhanced_reflection_generation_for_counseling_dialogues,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
structxlm_a_structure_discovery_multilingual_language_model_for_enhancing_crosslingual_transfer_through_reinforcement_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
document_modeling_with_graph_attention_networks_for_multigrained_machine_reading_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
structuring_knowledge_for_reference_generation_a_clustering_algorithm,April,2006.0,EACL,https://aclanthology.org/E06-1041,gatt-2006-structuring,"Albert Gatt. 2006. Structuring Knowledge for Reference Generation: A Clustering Algorithm. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 321–328, Trento, Italy. Association for Computational Linguistics."
automated_verb_sense_labelling_based_on_linked_lexical_resources,April,2014.0,EACL,https://aclanthology.org/E14-1008,cholakov-etal-2014-automated,"Kostadin Cholakov, Judith Eckle-Kohler, and Iryna Gurevych. 2014. Automated Verb Sense Labelling Based on Linked Lexical Resources. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 68–77, Gothenburg, Sweden. Association for Computational Linguistics."
learning_to_adapt_to_lowresource_paraphrase_generation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.66,li-etal-2022-learning-adapt,"Zhigen Li, Yanmeng Wang, Rizhao Fan, Ye Wang, Jianfeng Li, and Shaojun Wang. 2022. Learning to Adapt to Low-Resource Paraphrase Generation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1014–1022, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
masking_actor_information_leads_to_fairer_political_claims_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
r2h_building_multimodal_navigation_helpers_that_respond_to_help_requests,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
building_a_generation_knowledge_source_using_internetaccessible_newswire,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fewnlu_benchmarking_stateoftheart_methods_for_fewshot_natural_language_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
diverse_content_selection_for_educational_question_generation,May,2023.0,EACL,https://aclanthology.org/2023.eacl-srw.13,hadifar-etal-2023-diverse,"Amir Hadifar, Semere Kiros Bitew, Johannes Deleu, Veronique Hoste, Chris Develder, and Thomas Demeester. 2023. Diverse Content Selection for Educational Question Generation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 123–133, Dubrovnik, Croatia. Association for Computational Linguistics."
dualencoder_transformers_with_crossmodal_alignment_for_multimodal_aspectbased_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
maddog_a_webbased_system_for_acronym_identification_and_disambiguation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-demos.20,pouran-ben-veyseh-etal-2021-maddog,"Amir Pouran Ben Veyseh, Franck Dernoncourt, Walter Chang, and Thien Huu Nguyen. 2021. MadDog: A Web-based System for Acronym Identification and Disambiguation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 160–167, Online. Association for Computational Linguistics."
unsupervised_multilingual_word_embedding_with_limited_resources_using_neural_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
grasp_grammar_learning_from_unlabelled_speech_corpora,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
word_segmentation_as_unsupervised_constituency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
from_credit_assignment_to_entropy_regularization_two_new_algorithms_for_neural_sequence_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_classical_language_toolkit_an_nlp_framework_for_premodern_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_multimedia_articulation_of_answers_in_a_natural_language_database_query_system,February,1988.0,ANLP,https://aclanthology.org/A88-1001,brennan-1988-multimedia,"Susan E. Brennan. 1988. The Multimedia Articulation of Answers in a Natural Language Database Query System. In Second Conference on Applied Natural Language Processing, pages 1–8, Austin, Texas, USA. Association for Computational Linguistics."
transitionbased_deep_input_linearization,April,2017.0,EACL,https://aclanthology.org/E17-1061,puduppully-etal-2017-transition,"Ratish Puduppully, Yue Zhang, and Manish Shrivastava. 2017. Transition-Based Deep Input Linearization. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 643–654, Valencia, Spain. Association for Computational Linguistics."
interactive_word_completion_for_plains_cree,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
efficient_linearization_of_tree_kernel_functions,June,2009.0,CoNLL,https://aclanthology.org/W09-1106,pighin-moschitti-2009-efficient,"Daniele Pighin and Alessandro Moschitti. 2009. Efficient Linearization of Tree Kernel Functions. In Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL-2009), pages 30–38, Boulder, Colorado. Association for Computational Linguistics."
balancing_training_for_multilingual_neural_machine_translation,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.754,wang-etal-2020-balancing,"Xinyi Wang, Yulia Tsvetkov, and Graham Neubig. 2020. Balancing Training for Multilingual Neural Machine Translation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8526–8537, Online. Association for Computational Linguistics."
text_style_transfer_with_contrastive_transfer_pattern_mining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
syntax_and_geometry_of_information,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unveiling_identity_biases_in_toxicity_detection__a_gamefocused_dataset_and_reactivity_analysis_approach,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ecolr_encouraging_copying_in_novel_object_captioning_with_reinforcement_learning,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.104,wang-etal-2021-ecol,"Yufei Wang, Ian Wood, Stephen Wan, and Mark Johnson. 2021. ECOL-R: Encouraging Copying in Novel Object Captioning with Reinforcement Learning. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1222–1234, Online. Association for Computational Linguistics."
ledir_an_unsupervised_algorithm_for_learning_directionality_of_inference_rules,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
explicit_object_relation_alignment_for_vision_and_language_navigation,May,2022.0,ACL,https://aclanthology.org/2022.acl-srw.24,zhang-kordjamshidi-2022-explicit,"Yue Zhang and Parisa Kordjamshidi. 2022. Explicit Object Relation Alignment for Vision and Language Navigation. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 322–331, Dublin, Ireland. Association for Computational Linguistics."
metalearning_based_deferred_optimisation_for_sentiment_and_emotion_aware_multimodal_dialogue_act_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ppt_parsimonious_parser_transfer_for_unsupervised_crosslingual_adaptation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.254,kurniawan-etal-2021-ppt,"Kemal Kurniawan, Lea Frermann, Philip Schulz, and Trevor Cohn. 2021. PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2907–2918, Online. Association for Computational Linguistics."
modeling_language_evolution_with_codes_that_utilize_context_and_phonetic_features,August,2016.0,CoNLL,https://aclanthology.org/K16-1014,nouri-yangarber-2016-modeling,"Javad Nouri and Roman Yangarber. 2016. Modeling language evolution with codes that utilize context and phonetic features. In Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, pages 136–145, Berlin, Germany. Association for Computational Linguistics."
memorybased_resolution_of_insentence_scopes_of_hedge_cues,July,2010.0,CoNLL,https://aclanthology.org/W10-3006,morante-etal-2010-memory,"Roser Morante, Vincent Van Asch, and Walter Daelemans. 2010. Memory-Based Resolution of In-Sentence Scopes of Hedge Cues. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task, pages 40–47, Uppsala, Sweden. Association for Computational Linguistics."
knowledge_editing_of_large_language_models_unconstrained_by_word_order,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mention_flags_mf_constraining_transformerbased_text_generators,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multimodal_logical_inference_system_for_visualtextual_entailment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tailtotail_nonautoregressive_sequence_prediction_for_chinese_grammatical_error_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
scoring_sentence_singletons_and_pairs_for_abstractive_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
causal_analysis_of_syntactic_agreement_mechanisms_in_neural_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_context_pattern_induction_method_for_named_entity_extraction,June,2006.0,CoNLL,https://aclanthology.org/W06-2919,talukdar-etal-2006-context,"Partha Pratim Talukdar, Thorsten Brants, Mark Liberman, and Fernando Pereira. 2006. A Context Pattern Induction Method for Named Entity Extraction. In Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X), pages 141–148, New York City. Association for Computational Linguistics."
continual_event_extraction_with_semantic_confusion_rectification,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.732,wang-etal-2023-continual,"Zitao Wang, Xinyi Wang, and Wei Hu. 2023. Continual Event Extraction with Semantic Confusion Rectification. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11945–11955, Singapore. Association for Computational Linguistics."
automatic_identification_and_classification_of_bragging_in_social_media,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_artext_prototype_an_automatic_system_for_writing_specialized_texts,April,2017.0,EACL,https://aclanthology.org/E17-3015,da-cunha-etal-2017-artext,"Iria da Cunha, M. Amor Montané, and Luis Hysa. 2017. The arText prototype: An automatic system for writing specialized texts. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 57–60, Valencia, Spain. Association for Computational Linguistics."
accelerating_toeplitz_neural_network_with_constanttime_inference_complexity,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilabel_and_multilingual_news_framing_analysis,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.763,akyurek-etal-2020-multi,"Afra Feyza Akyürek, Lei Guo, Randa Elanwar, Prakash Ishwar, Margrit Betke, and Derry Tanti Wijaya. 2020. Multi-Label and Multilingual News Framing Analysis. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8614–8624, Online. Association for Computational Linguistics."
crosslingual_unsupervised_sentiment_classification_with_multiview_transfer_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
disentangled_knowledge_transfer_for_ood_intent_discovery_with_unified_contrastive_learning,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.6,mou-etal-2022-disentangled,"Yutao Mou, Keqing He, Yanan Wu, Zhiyuan Zeng, Hong Xu, Huixing Jiang, Wei Wu, and Weiran Xu. 2022. Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive Learning. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 46–53, Dublin, Ireland. Association for Computational Linguistics."
a_comparison_of_syntactically_motivated_word_alignment_spaces,April,2006.0,EACL,https://aclanthology.org/E06-1019,cherry-lin-2006-comparison,"Colin Cherry and Dekang Lin. 2006. A Comparison of Syntactically Motivated Word Alignment Spaces. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 153–160, Trento, Italy. Association for Computational Linguistics."
weaklysupervised_learning_of_visual_relations_in_multimodal_pretraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
differentiable_multiagent_actorcritic_for_multistep_radiology_report_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_neural_knowledge_base_completion_with_crosslingual_projections,April,2017.0,EACL,https://aclanthology.org/E17-2083,klein-etal-2017-improving,"Patrick Klein, Simone Paolo Ponzetto, and Goran Glavaš. 2017. Improving Neural Knowledge Base Completion with Cross-Lingual Projections. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 516–522, Valencia, Spain. Association for Computational Linguistics."
experimenting_with_distant_supervision_for_emotion_classification,April,2012.0,EACL,https://aclanthology.org/E12-1049,purver-battersby-2012-experimenting,"Matthew Purver and Stuart Battersby. 2012. Experimenting with Distant Supervision for Emotion Classification. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 482–491, Avignon, France. Association for Computational Linguistics."
timeline_exhaustive_annotation_of_temporal_relations_supporting_the_automatic_ordering_of_events_in_news_articles,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.1016,alsayyahi-batista-navarro-2023-timeline,"Sarah Alsayyahi and Riza Batista-Navarro. 2023. TIMELINE: Exhaustive Annotation of Temporal Relations Supporting the Automatic Ordering of Events in News Articles. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16336–16348, Singapore. Association for Computational Linguistics."
convolutional_neural_networks_for_financial_text_regression,July,2019.0,ACL,https://aclanthology.org/P19-2046,dereli-saraclar-2019-convolutional,"Neşat Dereli and Murat Saraclar. 2019. Convolutional Neural Networks for Financial Text Regression. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 331–337, Florence, Italy. Association for Computational Linguistics."
an_empirical_study_of_pipeline_vs_joint_approaches_to_entity_and_relation_extraction,November,2022.0,,https://aclanthology.org/2022.aacl-short.55,yan-etal-2022-empirical,"Zhaohui Yan, Zixia Jia, and Kewei Tu. 2022. An Empirical Study of Pipeline vs. Joint approaches to Entity and Relation Extraction. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 437–443, Online only. Association for Computational Linguistics."
cocoex_a_tool_for_linking_concepts_from_texts_to_conceptnet,April,2021.0,EACL,https://aclanthology.org/2021.eacl-demos.15,becker-etal-2021-coco,"Maria Becker, Katharina Korfhage, and Anette Frank. 2021. COCO-EX: A Tool for Linking Concepts from Texts to ConceptNet. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 119–126, Online. Association for Computational Linguistics."
automatic_machine_translation_evaluation_using_source_language_inputs_and_crosslingual_language_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_ecological_fallacy_in_annotation_modeling_human_label_variation_goes_beyond_sociodemographics,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.88,orlikowski-etal-2023-ecological,"Matthias Orlikowski, Paul Röttger, Philipp Cimiano, and Dirk Hovy. 2023. The Ecological Fallacy in Annotation: Modeling Human Label Variation goes beyond Sociodemographics. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1017–1029, Toronto, Canada. Association for Computational Linguistics."
modeling_empathic_similarity_in_personal_narratives,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
predicting_treatment_outcome_from_patient_textsthe_case_of_internetbased_cognitive_behavioural_therapy,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.46,gogoulou-etal-2021-predicting,"Evangelia Gogoulou, Magnus Boman, Fehmi Ben Abdesslem, Nils Hentati Isacsson, Viktor Kaldo, and Magnus Sahlgren. 2021. Predicting Treatment Outcome from Patient Texts:The Case of Internet-Based Cognitive Behavioural Therapy. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 575–580, Online. Association for Computational Linguistics."
social_influence_dialogue_systems_a_survey_of_datasets_and_models_for_social_influence_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mredditsum_a_multimodal_abstractive_summarization_dataset_of_reddit_threads_with_images,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
issues_with_entailmentbased_zeroshot_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_embarrassingly_easy_but_strong_baseline_for_nested_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
structformer_joint_unsupervised_induction_of_dependency_and_constituency_structure_from_masked_language_modeling,August,2021.0,,https://aclanthology.org/2021.acl-long.559,shen-etal-2021-structformer,"Yikang Shen, Yi Tay, Che Zheng, Dara Bahri, Donald Metzler, and Aaron Courville. 2021. StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 7196–7209, Online. Association for Computational Linguistics."
citadel_conditional_token_interaction_via_dynamic_lexical_routing_for_efficient_and_effective_multivector_retrieval,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
finegrained_fact_verification_with_kernel_graph_attention_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nerd_a_framework_for_unifying_named_entity_recognition_and_disambiguation_extraction_tools,April,2012.0,EACL,https://aclanthology.org/E12-2015,rizzo-troncy-2012-nerd,"Giuseppe Rizzo and Raphaël Troncy. 2012. NERD: A Framework for Unifying Named Entity Recognition and Disambiguation Extraction Tools. In Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 73–76, Avignon, France. Association for Computational Linguistics."
distilling_translations_with_visual_awareness,July,2019.0,ACL,https://aclanthology.org/P19-1653,ive-etal-2019-distilling,"Julia Ive, Pranava Madhyastha, and Lucia Specia. 2019. Distilling Translations with Visual Awareness. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 6525–6538, Florence, Italy. Association for Computational Linguistics."
actor_active_learning_with_annotatorspecific_classification_heads_to_embrace_human_label_variation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
emotioncause_pair_extraction_a_new_task_to_emotion_analysis_in_texts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
how_to_build_a_qa_system_in_your_backgarden_application_for_romanian,April,2003.0,EACL,https://aclanthology.org/E03-1064,orasan-etal-2003-build,"Constantin Orăsan, Doina Tatar, Gabriela Şerban, Dana Lupsa, and Adrian Oneţ. 2003. How to build a QA system in your back-garden: application for Romanian. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
towards_a_unified_conversational_recommendation_system_multitask_learning_via_contextualized_knowledge_distillation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.840,jung-etal-2023-towards,"Yeongseo Jung, Eunseo Jung, and Lei Chen. 2023. Towards a Unified Conversational Recommendation System: Multi-task Learning via Contextualized Knowledge Distillation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13625–13637, Singapore. Association for Computational Linguistics."
pseudorelevance_for_enhancing_document_representation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_rank_for_plausible_plausibility,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_benchmarking_and_improving_the_temporal_reasoning_capability_of_large_language_models,July,2023.0,ACL,https://aclanthology.org/2023.acl-long.828,tan-etal-2023-towards,"Qingyu Tan, Hwee Tou Ng, and Lidong Bing. 2023. Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 14820–14835, Toronto, Canada. Association for Computational Linguistics."
moleman_mentiononly_linking_of_entities_with_a_mention_annotation_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_multimodal_sarcasm_detection_via_hierarchical_congruity_modeling_with_knowledge_enhancement,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
there_is_no_standard_answer_knowledgegrounded_dialogue_generation_with_adversarial_activated_multireference_learning,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.123,zhao-etal-2022-standard,"Xueliang Zhao, Tingchen Fu, Chongyang Tao, and Rui Yan. 2022. There Is No Standard Answer: Knowledge-Grounded Dialogue Generation with Adversarial Activated Multi-Reference Learning. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1878–1891, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
batch_is_not_heavy_learning_word_representations_from_all_samples,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crossframework_evaluation_for_statistical_parsing,April,2012.0,EACL,https://aclanthology.org/E12-1006,tsarfaty-etal-2012-cross,"Reut Tsarfaty, Joakim Nivre, and Evelina Andersson. 2012. Cross-Framework Evaluation for Statistical Parsing. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 44–54, Avignon, France. Association for Computational Linguistics."
dont_stop_pretraining_adapt_language_models_to_domains_and_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
active_example_selection_for_incontext_learning,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.622,zhang-etal-2022-active,"Yiming Zhang, Shi Feng, and Chenhao Tan. 2022. Active Example Selection for In-Context Learning. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9134–9148, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
elaborationgenerating_commonsense_question_answering_at_scale,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
large_linguisticallyprocessed_web_corpora_for_multiple_languages,,2006.0,EACL,https://aclanthology.org/E06-2001,baroni-kilgarriff-2006-large,"Marco Baroni and Adam Kilgarriff. 2006. Large Linguistically-Processed Web Corpora for Multiple Languages. In Demonstrations, pages 87–90."
sequencetosequence_amr_parsing_with_ancestor_information,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_grammatical_error_correction_rivaling_supervised_methods,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
open_set_relation_extraction_via_unknownaware_training,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_predict_task_transferability_via_soft_prompt,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
darkbert_a_language_model_for_the_dark_side_of_the_internet,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_efficient_dialogue_policy_from_demonstrations_through_shaping,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
wlasllex_a_dataset_for_recognising_phonological_properties_in_american_sign_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
graph_vs_sequence_an_empirical_study_on_knowledge_forms_for_knowledgegrounded_dialogue,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.982,yang-etal-2023-graph,"Yizhe Yang, Heyan Huang, Yuhang Liu, and Yang Gao. 2023. Graph vs. Sequence: An Empirical Study on Knowledge Forms for Knowledge-Grounded Dialogue. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15846–15858, Singapore. Association for Computational Linguistics."
retrieving_sequential_information_for_nonautoregressive_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_understanding_gender_bias_in_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_dataset_and_bertbased_models_for_targeted_sentiment_analysis_on_turkish_texts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
revisiting_deidentification_of_electronic_medical_records_evaluation_of_within_and_crosshospital_generalization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
paidiffusion_constructing_and_serving_a_family_of_open_chinese_diffusion_models_for_texttoimage_synthesis_on_the_cloud,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tvqa_spatiotemporal_grounding_for_video_question_answering,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.730,lei-etal-2020-tvqa,"Jie Lei, Licheng Yu, Tamara Berg, and Mohit Bansal. 2020. TVQA+: Spatio-Temporal Grounding for Video Question Answering. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8211–8225, Online. Association for Computational Linguistics."
q2d_turning_questions_into_dialogs_to_teach_models_how_to_search,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nonautoregressive_math_word_problem_solver_with_unified_tree_structure,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multitask_parsing_across_semantic_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pointwise_mutual_information_based_metric_and_decoding_strategy_for_faithful_generation_in_document_grounded_dialogs,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.639,nandwani-etal-2023-pointwise,"Yatin Nandwani, Vineet Kumar, Dinesh Raghu, Sachindra Joshi, and Luis Lastras. 2023. Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 10335–10347, Singapore. Association for Computational Linguistics."
storico_storytelling_tts_for_hindi_with_character_voice_modulation,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.37,tankala-etal-2024-storico,"Pavan Tankala, Preethi Jyothi, Preeti Rao, and Pushpak Bhattacharyya. 2024. STORiCo: Storytelling TTS for Hindi with Character Voice Modulation. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 426–431, St. Julian’s, Malta. Association for Computational Linguistics."
bootstrapping_multilingual_amr_with_contextual_word_alignments,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.30,sheth-etal-2021-bootstrapping,"Janaki Sheth, Young-Suk Lee, Ramón Fernandez Astudillo, Tahira Naseem, Radu Florian, Salim Roukos, and Todd Ward. 2021. Bootstrapping Multilingual AMR with Contextual Word Alignments. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 394–404, Online. Association for Computational Linguistics."
barttl_weaklysupervised_topic_label_generation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.121,popa-rebedea-2021-bart,"Cristian Popa and Traian Rebedea. 2021. BART-TL: Weakly-Supervised Topic Label Generation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1418–1425, Online. Association for Computational Linguistics."
aspect_based_sentiment_analysis_with_gated_convolutional_networks,July,2018.0,ACL,https://aclanthology.org/P18-1234,xue-li-2018-aspect,"Wei Xue and Tao Li. 2018. Aspect Based Sentiment Analysis with Gated Convolutional Networks. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2514–2523, Melbourne, Australia. Association for Computational Linguistics."
bertie_botts_every_flavor_labels_a_tasty_introduction_to_semantic_role_labeling_for_galician,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.671,bruton-beloucif-2023-bertie,"Micaella Bruton and Meriem Beloucif. 2023. BERTie Bott’s Every Flavor Labels: A Tasty Introduction to Semantic Role Labeling for Galician. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 10892–10902, Singapore. Association for Computational Linguistics."
mixingboard_a_knowledgeable_stylized_integrated_text_generation_platform,July,2020.0,ACL,https://aclanthology.org/2020.acl-demos.26,gao-etal-2020-mixingboard,"Xiang Gao, Michel Galley, and Bill Dolan. 2020. MixingBoard: a Knowledgeable Stylized Integrated Text Generation Platform. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 224–231, Online. Association for Computational Linguistics."
learning_to_detect_opinion_snippet_for_aspectbased_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
proactive_humanmachine_conversation_with_explicit_conversation_goal,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_generalizability_in_implicitly_abusive_language_detection_with_concept_activation_vectors,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
revisiting_lowresource_neural_machine_translation_a_case_study,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
message_classification_in_the_call_center,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cnn_for_modeling_sanskrit_originated_bengali_and_hindi_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_adaptable_taskoriented_dialog_system_for_standalone_embedded_devices,July,2019.0,ACL,https://aclanthology.org/P19-3009,duong-etal-2019-adaptable,"Long Duong, Vu Cong Duy Hoang, Tuyen Quang Pham, Yu-Heng Hong, Vladislavs Dovgalecs, Guy Bashkansky, Jason Black, Andrew Bleeker, Serge Le Huitouze, and Mark Johnson. 2019. An adaptable task-oriented dialog system for stand-alone embedded devices. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 49–57, Florence, Italy. Association for Computational Linguistics."
better_neural_machine_translation_by_extracting_linguistic_information_from_bert,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
database_reasoning_over_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fgd_at_mrp_2020_prague_tectogrammatical_graphs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_gradient_wordorder_typology_from_universal_dependencies,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.6,baylor-etal-2024-multilingual,"Emi Baylor, Esther Ploeger, and Johannes Bjerva. 2024. Multilingual Gradient Word-Order Typology from Universal Dependencies. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 42–49, St. Julian’s, Malta. Association for Computational Linguistics."
scott_selfconsistent_chainofthought_distillation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_ineffectiveness_of_images_for_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
knncontrastive_learning_for_outofdomain_intent_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
using_gazetteers_in_discriminative_information_extraction,June,2006.0,CoNLL,https://aclanthology.org/W06-2918,smith-osborne-2006-using,"Andrew Smith and Miles Osborne. 2006. Using Gazetteers in Discriminative Information Extraction. In Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X), pages 133–140, New York City. Association for Computational Linguistics."
entitycentric_contextual_affective_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
transfer_and_active_learning_for_dissonance_detection_addressing_the_rareclass_challenge,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cevlm_controlled_edit_vector_language_model_for_shaping_natural_language_generations,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.80,moorjani-etal-2024-cev,"Samraj Moorjani, Adit Krishnan, and Hari Sundaram. 2024. CEV-LM: Controlled Edit Vector Language Model for Shaping Natural Language Generations. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1325–1340, St. Julian’s, Malta. Association for Computational Linguistics."
taxonomy_construction_of_unseen_domains_via_graphbased_crossdomain_knowledge_transfer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
driving_semantic_parsing_from_the_worlds_response,July,2010.0,CoNLL,https://aclanthology.org/W10-2903,clarke-etal-2010-driving,"James Clarke, Dan Goldwasser, Ming-Wei Chang, and Dan Roth. 2010. Driving Semantic Parsing from the World’s Response. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning, pages 18–27, Uppsala, Sweden. Association for Computational Linguistics."
maytag_a_multistaged_approach_to_identifying_complex_events_in_textual_data,,2006.0,EACL,https://aclanthology.org/E06-2012,chang-etal-2006-maytag,"Conrad Chang, Lisa Ferro, John Gibson, Janet Hitzeman, Suzi Lubar, Justin Palmer, Sean Munson, Marc Vilain, and Benjamin Wellner. 2006. Maytag: A Multi-Staged Approach to Identifying Complex Events in Textual Data. In Demonstrations, pages 131–134."
trainable_methods_for_surface_natural_language_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_nontaskspecific_distillation_of_bert_via_sentence_representation_approximation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_text_simplification_of_clinical_letters_with_a_domain_specific_phrase_table,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_novel_bidirectional_interrelated_model_for_joint_intent_detection_and_slot_filling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
consistency_regularization_training_for_compositional_generalization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
from_the_one_judge_of_the_whole_typed_entailment_graph_construction_with_predicate_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
counterfactual_inference_for_text_classification_debiasing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
deebert_dynamic_early_exiting_for_accelerating_bert_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
better_language_model_with_hypernym_class_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
once_is_enough_a_lightweight_crossattention_for_fast_sentence_pair_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crosslingual_ability_of_multilingual_masked_language_models_a_study_of_language_structure,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
language_resources_factory_case_study_on_the_acquisition_of_translation_memories,April,2012.0,EACL,https://aclanthology.org/E12-2001,poch-etal-2012-language,"Marc Poch, Antonio Toral, and Núria Bel. 2012. Language Resources Factory: case study on the acquisition of Translation Memories. In Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 1–5, Avignon, France. Association for Computational Linguistics."
htransformer1d_fast_onedimensional_hierarchical_attention_for_sequences,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
corpus_annotation_graph_builder_cag_an_architectural_framework_to_create_and_annotate_a_multisource_graph,May,2023.0,EACL,https://aclanthology.org/2023.eacl-demo.28,el-baff-etal-2023-corpus,"Roxanne El Baff, Tobias Hecking, Andreas Hamm, Jasper W. Korte, and Sabine Bartsch. 2023. Corpus Annotation Graph Builder (CAG): An Architectural Framework to Create and Annotate a Multi-source Graph. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 248–255, Dubrovnik, Croatia. Association for Computational Linguistics."
structvae_treestructured_latent_variable_models_for_semisupervised_semantic_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
qcri_live_speech_translation_system,April,2017.0,EACL,https://aclanthology.org/E17-3016,dalvi-etal-2017-qcri,"Fahim Dalvi, Yifan Zhang, Sameer Khurana, Nadir Durrani, Hassan Sajjad, Ahmed Abdelali, Hamdy Mubarak, Ahmed Ali, and Stephan Vogel. 2017. QCRI Live Speech Translation System. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 61–64, Valencia, Spain. Association for Computational Linguistics."
conversing_with_databases_practical_natural_language_querying,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.36,kochedykov-etal-2023-conversing,"Denis Kochedykov, Fenglin Yin, and Sreevidya Khatravath. 2023. Conversing with databases: Practical Natural Language Querying. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 372–379, Singapore. Association for Computational Linguistics."
identifying_transferable_information_across_domains_for_crossdomain_sentiment_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
comprehensive_study_how_the_context_information_of_different_granularity_affects_dialogue_state_tracking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mavenrank_identifying_influential_members_of_the_us_senate_using_lexical_centrality,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
analyzing_the_limitations_of_crosslingual_word_embedding_mappings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
benchmarking_large_language_model_capabilities_for_conditional_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_power_of_prompt_tuning_for_lowresource_semantic_parsing,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.17,schucher-etal-2022-power,"Nathan Schucher, Siva Reddy, and Harm de Vries. 2022. The Power of Prompt Tuning for Low-Resource Semantic Parsing. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 148–156, Dublin, Ireland. Association for Computational Linguistics."
negationinstance_based_evaluation_of_endtoend_negation_resolution,November,2021.0,CoNLL,https://aclanthology.org/2021.conll-1.41,sineva-etal-2021-negation,"Elizaveta Sineva, Stefan Grünewald, Annemarie Friedrich, and Jonas Kuhn. 2021. Negation-Instance Based Evaluation of End-to-End Negation Resolution. In Proceedings of the 25th Conference on Computational Natural Language Learning, pages 528–543, Online. Association for Computational Linguistics."
tasklevel_thinking_steps_help_large_language_models_for_challenging_classification_task,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ive_seen_things_you_people_wouldnt_believe_hallucinating_entities_in_guesswhat,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
eel_efficiently_encoding_lattices_for_reranking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semantic_graphs_for_generating_deep_questions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multihumes_multilingual_humanitarian_dataset_for_extractive_summarization,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.146,yela-bello-etal-2021-multihumes,"Jenny Paola Yela-Bello, Ewan Oglethorpe, and Navid Rekabsaz. 2021. MultiHumES: Multilingual Humanitarian Dataset for Extractive Summarization. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1713–1717, Online. Association for Computational Linguistics."
fast_statistical_parsing_of_noun_phrases_for_document_indexing,March,1997.0,ANLP,https://aclanthology.org/A97-1046,zhai-1997-fast,"Chengxiang Zhai. 1997. Fast Statistical Parsing of Noun Phrases for Document Indexing. In Fifth Conference on Applied Natural Language Processing, pages 312–319, Washington, DC, USA. Association for Computational Linguistics."
maam_a_morphologyaware_alignment_model_for_unsupervised_bilingual_lexicon_induction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
warp_wordlevel_adversarial_reprogramming,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
feature_selection_for_a_rich_hpsg_grammar_using_decision_trees,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unnatural_error_correction_gpt4_can_almost_perfectly_handle_unnatural_scrambled_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
answerlevel_calibration_for_freeform_multiple_choice_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
efficient_neural_machine_translation_for_lowresource_languages_via_exploiting_related_languages,July,2020.0,ACL,https://aclanthology.org/2020.acl-srw.22,goyal-etal-2020-efficient,"Vikrant Goyal, Sourav Kumar, and Dipti Misra Sharma. 2020. Efficient Neural Machine Translation for Low-Resource Languages via Exploiting Related Languages. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 162–168, Online. Association for Computational Linguistics."
the_tail_wagging_the_dog_dataset_construction_biases_of_social_bias_benchmarks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
claret_pretraining_a_correlationaware_contexttoevent_transformer_for_eventcentric_generation_and_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
distributed_knowledge_based_clinical_autocoding_system,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_empathetic_opendomain_conversation_models_a_new_benchmark_and_dataset,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_sensitivity_of_language_models_and_humans_to_winograd_schema_perturbations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_intelligent_multilingual_information_browsing_and_retrieval_system_using_information_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
globallocally_selfattentive_encoder_for_dialogue_state_tracking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
deep_differential_amplifier_for_extractive_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
long_shortterm_memory_as_a_dynamically_computed_elementwise_weighted_sum,July,2018.0,ACL,https://aclanthology.org/P18-2116,levy-etal-2018-long,"Omer Levy, Kenton Lee, Nicholas FitzGerald, and Luke Zettlemoyer. 2018. Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 732–739, Melbourne, Australia. Association for Computational Linguistics."
word_sense_induction_for_novel_sense_detection,April,2012.0,EACL,https://aclanthology.org/E12-1060,lau-etal-2012-word,"Jey Han Lau, Paul Cook, Diana McCarthy, David Newman, and Timothy Baldwin. 2012. Word Sense Induction for Novel Sense Detection. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 591–601, Avignon, France. Association for Computational Linguistics."
bob_bert_over_bert_for_training_personabased_dialogue_models_from_limited_personalized_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
knowledge_transfer_in_incremental_learning_for_multilingual_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
codeswitched_language_models_using_neural_based_synthetic_data_from_parallel_sentences,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
retrieve_read_rerank_towards_endtoend_multidocument_reading_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
good_examples_make_a_faster_learner_simple_demonstrationbased_learning_for_lowresource_ner,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
controlling_the_extraction_of_memorized_data_from_large_language_models_via_prompttuning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_automatic_generation_of_medical_imaging_reports,July,2018.0,ACL,https://aclanthology.org/P18-1240,jing-etal-2018-automatic,"Baoyu Jing, Pengtao Xie, and Eric Xing. 2018. On the Automatic Generation of Medical Imaging Reports. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2577–2586, Melbourne, Australia. Association for Computational Linguistics."
keyphrase_generation_for_scientific_document_retrieval,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
plot_retrieval_as_an_assessment_of_abstract_semantic_association,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
combining_linguistic_and_machine_learning_techniques_for_email_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adaptive_knowledge_sharing_in_multitask_learning_improving_lowresource_neural_machine_translation,July,2018.0,ACL,https://aclanthology.org/P18-2104,zaremoodi-etal-2018-adaptive,"Poorya Zaremoodi, Wray Buntine, and Gholamreza Haffari. 2018. Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 656–661, Melbourne, Australia. Association for Computational Linguistics."
spectral_probing,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.527,muller-eberstein-etal-2022-spectral,"Max Müller-Eberstein, Rob van der Goot, and Barbara Plank. 2022. Spectral Probing. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7730–7741, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
augmenting_pretrained_language_models_with_qamemory_for_opendomain_question_answering,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.117,chen-etal-2023-augmenting,"Wenhu Chen, Pat Verga, Michiel de Jong, John Wieting, and William W. Cohen. 2023. Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1597–1610, Dubrovnik, Croatia. Association for Computational Linguistics."
from_dissonance_to_insights_dissecting_disagreements_in_rationale_construction_for_case_outcome_classification,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.594,xu-etal-2023-dissonance,"Shanshan Xu, Santosh T.y.s.s, Oana Ichim, Isabella Risini, Barbara Plank, and Matthias Grabmair. 2023. From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 9558–9576, Singapore. Association for Computational Linguistics."
bad_seeds_evaluating_lexical_methods_for_bias_measurement,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
answering_legal_questions_from_laymen_in_german_civil_law_system,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.122,buttner-habernal-2024-answering,"Marius Büttner and Ivan Habernal. 2024. Answering legal questions from laymen in German civil law system. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2015–2027, St. Julian’s, Malta. Association for Computational Linguistics."
to_compress_or_not_to_compress_a_finitestate_approach_to_nen_verbal_morphology,July,2020.0,ACL,https://aclanthology.org/2020.acl-srw.28,muradoglu-etal-2020-compress,"Saliha Muradoglu, Nicholas Evans, and Hanna Suominen. 2020. To compress or not to compress? A Finite-State approach to Nen verbal morphology. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 207–213, Online. Association for Computational Linguistics."
simpsons_paradox_and_the_accuracyfluency_tradeoff_in_translation,August,2024.0,ACL,https://aclanthology.org/2024.acl-short.9,lim-etal-2024-simpsons,"Zheng Wei Lim, Ekaterina Vylomova, Trevor Cohn, and Charles Kemp. 2024. Simpson’s Paradox and the Accuracy-Fluency Tradeoff in Translation. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 92–103, Bangkok, Thailand. Association for Computational Linguistics."
parameterefficient_language_model_tuning_with_active_learning_in_lowresource_settings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
distant_learning_for_entity_linking_with_automatic_noise_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
clinical_concept_linking_with_contextualized_neural_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
stochastic_answer_networks_for_machine_reading_comprehension,July,2018.0,ACL,https://aclanthology.org/P18-1157,liu-etal-2018-stochastic,"Xiaodong Liu, Yelong Shen, Kevin Duh, and Jianfeng Gao. 2018. Stochastic Answer Networks for Machine Reading Comprehension. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1694–1704, Melbourne, Australia. Association for Computational Linguistics."
if_you_cant_beat_them_join_them_handcrafted_features_complement_neural_nets_for_nonfactoid_answer_reranking,April,2017.0,EACL,https://aclanthology.org/E17-1012,bogdanova-etal-2017-cant,"Dasha Bogdanova, Jennifer Foster, Daria Dzendzik, and Qun Liu. 2017. If You Can’t Beat Them Join Them: Handcrafted Features Complement Neural Nets for Non-Factoid Answer Reranking. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 121–131, Valencia, Spain. Association for Computational Linguistics."
unsupervised_extractive_summarization_using_pointwise_mutual_information,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.213,padmakumar-he-2021-unsupervised,"Vishakh Padmakumar and He He. 2021. Unsupervised Extractive Summarization using Pointwise Mutual Information. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2505–2512, Online. Association for Computational Linguistics."
sentiment_and_emotion_help_sarcasm_a_multitask_learning_framework_for_multimodal_sarcasm_sentiment_and_emotion_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_comprehensive_evaluation_of_biomedical_entity_linking_models,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.893,kartchner-etal-2023-comprehensive,"David Kartchner, Jennifer Deng, Shubham Lohiya, Tejasri Kopparthi, Prasanth Bathala, Daniel Domingo-Fernández, and Cassie Mitchell. 2023. A Comprehensive Evaluation of Biomedical Entity Linking Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 14462–14478, Singapore. Association for Computational Linguistics."
deep_unknown_intent_detection_with_margin_loss,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neighborhood_mixture_model_for_knowledge_base_completion,August,2016.0,CoNLL,https://aclanthology.org/K16-1005,nguyen-etal-2016-neighborhood,"Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, and Mark Johnson. 2016. Neighborhood Mixture Model for Knowledge Base Completion. In Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, pages 40–50, Berlin, Germany. Association for Computational Linguistics."
generative_data_augmentation_using_llms_improves_distributional_robustness_in_question_answering,March,2024.0,EACL,https://aclanthology.org/2024.eacl-srw.20,chowdhury-chadha-2024-generative,"Arijit Chowdhury and Aman Chadha. 2024. Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 258–265, St. Julian’s, Malta. Association for Computational Linguistics."
buy_tesla_sell_ford_assessing_implicit_stock_market_preference_in_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
entityrelation_extraction_as_multiturn_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
revising_with_a_backward_glance_regressions_and_skips_during_reading_as_cognitive_signals_for_revision_policies_in_incremental_processing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
kfu_nlp_team_at_smm4h_2019_tasks_want_to_extract_adverse_drugs_reactions_from_tweets_bert_to_the_rescue,August,2019.0,ACL,https://aclanthology.org/W19-3207,miftahutdinov-etal-2019-kfu,"Zulfat Miftahutdinov, Ilseyar Alimova, and Elena Tutubalina. 2019. KFU NLP Team at SMM4H 2019 Tasks: Want to Extract Adverse Drugs Reactions from Tweets? BERT to The Rescue. In Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task, pages 52–57, Florence, Italy. Association for Computational Linguistics."
explicit_syntactic_guidance_for_neural_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
training_a_naive_bayes_classifier_via_the_em_algorithm_with_a_class_distribution_constraint,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
weakly_supervised_visionandlanguage_pretraining_with_relative_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatic_chinese_catchword_extraction_based_on_time_series_analysis,August,2008.0,CoNLL,https://aclanthology.org/W08-2115,ren-etal-2008-automatic,"Han Ren, Donghong Ji, Jing Wan, and Lei Han. 2008. Automatic Chinese Catchword Extraction Based on Time Series Analysis. In CoNLL 2008: Proceedings of the Twelfth Conference on Computational Natural Language Learning, pages 113–118, Manchester, England. Coling 2008 Organizing Committee."
controllable_mixedinitiative_dialogue_generation_through_prompting,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_cognitive_stimulation_dialogue_system_with_multisource_knowledge_fusion_for_elders_with_cognitive_impairment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
disentqa_disentangling_parametric_and_contextual_knowledge_with_counterfactual_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_machine_translation_methods_for_translating_text_to_sign_language_glosses,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generationaugmented_retrieval_for_opendomain_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hyphen_hyperbolic_hawkes_attention_for_text_streams,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
l2c_describing_visual_differences_needs_semantic_understanding_of_individuals,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.196,yan-etal-2021-l2c,"An Yan, Xin Wang, Tsu-Jui Fu, and William Yang Wang. 2021. L2C: Describing Visual Differences Needs Semantic Understanding of Individuals. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2315–2320, Online. Association for Computational Linguistics."
delta_embedding_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
aflora_adaptive_freezing_of_low_rank_adaptation_in_parameter_efficient_finetuning_of_large_models,August,2024.0,ACL,https://aclanthology.org/2024.acl-short.16,liu-etal-2024-aflora,"Zeyu Liu, Souvik Kundu, Anni Li, Junrui Wan, Lianghao Jiang, and Peter Beerel. 2024. AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 161–167, Bangkok, Thailand. Association for Computational Linguistics."
exploiting_syntactic_structure_for_better_language_modeling_a_syntactic_distance_approach,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
atlas_improving_lay_summarisation_with_attributebased_control,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
citebench_a_benchmark_for_scientific_citation_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_different_dimensions_of_attention_for_uncertainty_detection,April,2017.0,EACL,https://aclanthology.org/E17-1003,adel-schutze-2017-exploring,"Heike Adel and Hinrich Schütze. 2017. Exploring Different Dimensions of Attention for Uncertainty Detection. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 22–34, Valencia, Spain. Association for Computational Linguistics."
basreh_or_basra_geoparsing_historical_locations_in_the_svoboda_diaries,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nearest_neighbor_machine_translation_is_metaoptimizer_on_output_projection_layer,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.964,gao-etal-2023-nearest,"Ruize Gao, Zhirui Zhang, Yichao Du, Lemao Liu, and Rui Wang. 2023. Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection Layer. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15592–15608, Singapore. Association for Computational Linguistics."
factoring_statutory_reasoning_as_language_understanding_challenges,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dataset_distillation_with_attention_labels_for_finetuning_bert,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_nvi_clustering_evaluation_measure,June,2009.0,CoNLL,https://aclanthology.org/W09-1121,reichart-rappoport-2009-nvi,"Roi Reichart and Ari Rappoport. 2009. The NVI Clustering Evaluation Measure. In Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL-2009), pages 165–173, Boulder, Colorado. Association for Computational Linguistics."
are_vqa_systems_rad_measuring_robustness_to_augmented_data_with_focused_interventions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_empirical_analysis_of_memorization_in_finetuned_autoregressive_language_models,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.119,mireshghallah-etal-2022-empirical,"Fatemehsadat Mireshghallah, Archit Uniyal, Tianhao Wang, David Evans, and Taylor Berg-Kirkpatrick. 2022. An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1816–1826, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
rethinking_taskspecific_knowledge_distillation_contextualized_corpus_as_better_textbook,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
turning_tables_generating_examples_from_semistructured_tables_for_endowing_language_models_with_reasoning_skills,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
text_smoothing_enhance_various_data_augmentation_methods_on_text_classification_tasks,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.97,wu-etal-2022-text,"Xing Wu, Chaochen Gao, Meng Lin, Liangjun Zang, and Songlin Hu. 2022. Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 871–875, Dublin, Ireland. Association for Computational Linguistics."
an_efficient_method_for_natural_language_querying_on_structured_data,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.31,bhathena-etal-2023-efficient,"Hanoz Bhathena, Aviral Joshi, and Prateek Singh. 2023. An efficient method for Natural Language Querying on Structured Data. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 322–331, Toronto, Canada. Association for Computational Linguistics."
absolute_position_embedding_learns_sinusoidlike_waves_for_attention_based_on_relative_position,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
contextaware_neural_machine_translation_with_minibatch_embedding,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.214,morishita-etal-2021-context,"Makoto Morishita, Jun Suzuki, Tomoharu Iwata, and Masaaki Nagata. 2021. Context-aware Neural Machine Translation with Mini-batch Embedding. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2513–2521, Online. Association for Computational Linguistics."
promda_promptbased_data_augmentation_for_lowresource_nlu_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
knowledgeenriched_event_causality_identification_via_latent_structure_induction_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
localizing_active_objects_from_egocentric_vision_with_symbolic_world_knowledge,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
knowsemlm_a_knowledge_infused_semantic_language_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rem_efficient_semiautomated_realtime_moderation_of_online_forums,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_instructions_with_unlabeled_data_for_zeroshot_crosstask_generalization,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.105,gu-etal-2022-learning,"Yuxian Gu, Pei Ke, Xiaoyan Zhu, and Minlie Huang. 2022. Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1617–1634, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
building_lexical_vector_representations_from_concept_definitions,April,2017.0,EACL,https://aclanthology.org/E17-1085,silva-de-carvalho-nguyen-2017-building,"Danilo Silva de Carvalho and Minh Le Nguyen. 2017. Building Lexical Vector Representations from Concept Definitions. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 905–915, Valencia, Spain. Association for Computational Linguistics."
speaker_sensitive_response_evaluation_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rethinking_the_authorship_verification_experimental_setups,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.380,brad-etal-2022-rethinking,"Florin Brad, Andrei Manolache, Elena Burceanu, Antonio Barbalau, Radu Tudor Ionescu, and Marius Popescu. 2022. Rethinking the Authorship Verification Experimental Setups. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5634–5643, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
length_does_matter_summary_length_can_bias_summarization_metrics,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.984,guo-vosoughi-2023-length,"Xiaobo Guo and Soroush Vosoughi. 2023. Length Does Matter: Summary Length can Bias Summarization Metrics. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15869–15879, Singapore. Association for Computational Linguistics."
on_the_utility_of_enhancing_bert_syntactic_bias_with_token_reordering_pretraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
civil_rephrases_of_toxic_texts_with_selfsupervised_transformers,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.124,laugier-etal-2021-civil,"Léo Laugier, John Pavlopoulos, Jeffrey Sorensen, and Lucas Dixon. 2021. Civil Rephrases Of Toxic Texts With Self-Supervised Transformers. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1442–1461, Online. Association for Computational Linguistics."
primock57_a_dataset_of_primary_care_mock_consultations,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.65,papadopoulos-korfiatis-etal-2022-primock57,"Alex Papadopoulos Korfiatis, Francesco Moramarco, Radmila Sarac, and Aleksandar Savkov. 2022. PriMock57: A Dataset Of Primary Care Mock Consultations. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 588–598, Dublin, Ireland. Association for Computational Linguistics."
improved_unsupervised_pos_induction_using_intrinsic_clustering_quality_and_a_zipfian_constraint,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_empirical_study_of_memorization_in_nlp,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
have_my_arguments_been_replied_to_argument_pair_extraction_as_machine_reading_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
posthoc_utterance_refining_method_by_entity_mining_for_faithful_knowledge_grounded_conversations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
domain_adaptation_in_multilingual_and_multidomain_monolingual_settings_for_complex_word_identification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crossmodal_language_generation_using_pivot_stabilization_for_webscale_language_coverage,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_conll2010_shared_task_learning_to_detect_hedges_and_their_scope_in_natural_language_text,July,2010.0,CoNLL,https://aclanthology.org/W10-3001,farkas-etal-2010-conll,"Richárd Farkas, Veronika Vincze, György Móra, János Csirik, and György Szarvas. 2010. The CoNLL-2010 Shared Task: Learning to Detect Hedges and their Scope in Natural Language Text. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task, pages 1–12, Uppsala, Sweden. Association for Computational Linguistics."
prompting_electra_fewshot_learning_with_discriminative_pretrained_models,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.780,xia-etal-2022-prompting,"Mengzhou Xia, Mikel Artetxe, Jingfei Du, Danqi Chen, and Veselin Stoyanov. 2022. Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11351–11361, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
probing_the_probing_paradigm_does_probing_accuracy_entail_task_relevance,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.295,ravichander-etal-2021-probing,"Abhilasha Ravichander, Yonatan Belinkov, and Eduard Hovy. 2021. Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance?. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3363–3377, Online. Association for Computational Linguistics."
jfleg_a_fluency_corpus_and_benchmark_for_grammatical_error_correction,April,2017.0,EACL,https://aclanthology.org/E17-2037,napoles-etal-2017-jfleg,"Courtney Napoles, Keisuke Sakaguchi, and Joel Tetreault. 2017. JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 229–234, Valencia, Spain. Association for Computational Linguistics."
a2n_attending_to_neighbors_for_knowledge_graph_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
constraintchecker_a_plugin_for_large_language_models_to_reason_on_commonsense_knowledge_bases,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.42,do-etal-2024-constraintchecker,"Quyet V. Do, Tianqing Fang, Shizhe Diao, Zhaowei Wang, and Yangqiu Song. 2024. ConstraintChecker: A Plugin for Large Language Models to Reason on Commonsense Knowledge Bases. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 714–731, St. Julian’s, Malta. Association for Computational Linguistics."
set_learning_for_generative_information_extraction,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.806,li-etal-2023-set,"Jiangnan Li, Yice Zhang, Bin Liang, Kam-Fai Wong, and Ruifeng Xu. 2023. Set Learning for Generative Information Extraction. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13043–13052, Singapore. Association for Computational Linguistics."
sequicity_simplifying_taskoriented_dialogue_systems_with_single_sequencetosequence_architectures,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_generate_onesentence_biographies_from_wikidata,April,2017.0,EACL,https://aclanthology.org/E17-1060,chisholm-etal-2017-learning,"Andrew Chisholm, Will Radford, and Ben Hachey. 2017. Learning to generate one-sentence biographies from Wikidata. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 633–642, Valencia, Spain. Association for Computational Linguistics."
adaptive_attention_span_in_transformers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_unified_multitask_adversarial_learning_framework_for_pharmacovigilance_mining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
should_you_marginalize_over_possible_tokenizations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
endtoend_amr_coreference_resolution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
line_graph_enhanced_amrtotext_generation_with_mixorder_graph_attention_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploiting_definitions_for_frame_identification,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.206,jiang-riloff-2021-exploiting,"Tianyu Jiang and Ellen Riloff. 2021. Exploiting Definitions for Frame Identification. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2429–2434, Online. Association for Computational Linguistics."
language_independent_ner_using_a_maximum_entropy_tagger,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
augnlg_fewshot_natural_language_generation_using_selftrained_data_augmentation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
what_is_the_real_intention_behind_this_question_dataset_collection_and_intention_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hierarchical_neural_story_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
factkg_fact_verification_via_reasoning_on_knowledge_graphs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_limitations_of_crosslingual_encoders_as_exposed_by_referencefree_machine_translation_evaluation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
detecting_incongruent_news_articles_using_multihead_attention_dual_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_batch_normalized_inference_network_keeps_the_kl_vanishing_away,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multitasking_framework_for_unsupervised_simple_definition_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_automatic_grammatical_error_type_classification_for_turkish,May,2023.0,EACL,https://aclanthology.org/2023.eacl-srw.14,uz-eryigit-2023-towards,"Harun Uz and Gülşen Eryiğit. 2023. Towards Automatic Grammatical Error Type Classification for Turkish. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 134–142, Dubrovnik, Croatia. Association for Computational Linguistics."
mcml_a_novel_memorybased_contrastive_metalearning_method_for_few_shot_slot_tagging,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
allinone_a_deep_attentive_multitask_learning_framework_for_humour_sarcasm_offensive_motivation_and_sentiment_on_memes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
language_model_pretraining_with_sparse_latent_typing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cleme_debiasing_multireference_evaluation_for_grammatical_error_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
emergence_of_syntax_needs_minimal_supervision,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
when_flue_meets_flang_benchmarks_and_large_pretrained_language_model_for_financial_domain,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_robust_numerical_question_answering_diagnosing_numerical_capabilities_of_nlp_systems,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.542,xu-etal-2022-towards-robust,"Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, and Dongmei Zhang. 2022. Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7950–7966, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
contextaware_query_rewriting_for_improving_users_search_experience_on_ecommerce_websites,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
interpretable_neural_predictions_with_differentiable_binary_variables,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bertseg_bert_based_unsupervised_subword_segmentation_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
espnetst_allinone_speech_translation_toolkit,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
trea_treestructure_reasoning_schema_for_conversational_recommendation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
building_domainspecific_taggers_without_annotated_domain_data,June,2007.0,,https://aclanthology.org/D07-1118,miller-etal-2007-building,"John Miller, Manabu Torii, and K. Vijay-Shanker. 2007. Building Domain-Specific Taggers without Annotated (Domain) Data. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 1103–1111, Prague, Czech Republic. Association for Computational Linguistics."
resources_to_examine_the_quality_of_word_embedding_models_trained_on_ngram_data,August,2024.0,ACL,https://aclanthology.org/2024.acl-long,UNKNOWN_BIBKEY,N/A
hexatagging_projective_dependency_parsing_as_tagging,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
software_infrastructure_for_natural_language_processing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
analysis_of_stopping_active_learning_based_on_stabilizing_predictions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
documentlevel_event_argument_extraction_with_a_chain_reasoning_paradigm,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rethinking_multimodal_alignment_in_multichoice_videoqa_from_feature_and_sample_perspectives,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.561,xiao-etal-2022-rethinking,"Shaoning Xiao, Long Chen, Kaifeng Gao, Zhao Wang, Yi Yang, Zhimeng Zhang, and Jun Xiao. 2022. Rethinking Multi-Modal Alignment in Multi-Choice VideoQA from Feature and Sample Perspectives. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8188–8198, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
temporal_information_extraction_from_korean_texts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
native_language_prediction_from_gaze_a_reproducibility_study,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_dependency_graph_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
link_type_based_precluster_pair_model_for_coreference_resolution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gumsley_evaluating_entity_salience_in_summarization_for_12_english_genres,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.158,lin-zeldes-2024-gumsley,"Jessica Lin and Amir Zeldes. 2024. GUMsley: Evaluating Entity Salience in Summarization for 12 English Genres. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2575–2588, St. Julian’s, Malta. Association for Computational Linguistics."
modeling_naive_psychology_of_characters_in_simple_commonsense_stories,July,2018.0,ACL,https://aclanthology.org/P18-1213,rashkin-etal-2018-modeling,"Hannah Rashkin, Antoine Bosselut, Maarten Sap, Kevin Knight, and Yejin Choi. 2018. Modeling Naive Psychology of Characters in Simple Commonsense Stories. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2289–2299, Melbourne, Australia. Association for Computational Linguistics."
simple_unsupervised_summarization_by_contextual_matching,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
transfer_learning_for_humor_detection_by_twin_masked_yellow_muppets,November,2022.0,,https://aclanthology.org/2022.aacl-short.1,arora-etal-2022-transfer,"Aseem Arora, Gaël Dias, Adam Jatowt, and Asif Ekbal. 2022. Transfer Learning for Humor Detection by Twin Masked Yellow Muppets. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 1–7, Online only. Association for Computational Linguistics."
deep_denoising_entity_pretraining_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_neural_interactivepredictive_system_for_multimodal_sequence_to_sequence_tasks,July,2019.0,ACL,https://aclanthology.org/P19-3014,peris-casacuberta-2019-neural,"Álvaro Peris and Francisco Casacuberta. 2019. A Neural, Interactive-predictive System for Multimodal Sequence to Sequence Tasks. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 81–86, Florence, Italy. Association for Computational Linguistics."
discourseaware_unsupervised_summarization_for_long_scientific_documents,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.93,dong-etal-2021-discourse,"Yue Dong, Andrei Mircea, and Jackie Chi Kit Cheung. 2021. Discourse-Aware Unsupervised Summarization for Long Scientific Documents. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1089–1102, Online. Association for Computational Linguistics."
towards_better_evaluation_of_instructionfollowing_a_casestudy_in_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
revisiting_higherorder_dependency_parsers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_better_nontree_argument_mining_propositionlevel_biaffine_parsing_with_taskspecific_parameterization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
effects_of_pre_and_postprocessing_on_typebased_embeddings_in_lexical_semantic_change_detection,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.10,kaiser-etal-2021-effects,"Jens Kaiser, Sinan Kurtyigit, Serge Kotchourko, and Dominik Schlechtweg. 2021. Effects of Pre- and Post-Processing on type-based Embeddings in Lexical Semantic Change Detection. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 125–137, Online. Association for Computational Linguistics."
argument_mining_as_a_texttotext_generation_task,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_recipe_for_creating_multimodal_aligned_datasets_for_sequential_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semantic_accuracy_in_natural_language_generation_a_thesis_proposal,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
spatial_aggregation_facilitates_discovery_of_spatial_topics,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
livechat_a_largescale_personalized_dialogue_dataset_automatically_constructed_from_live_streaming,July,2023.0,ACL,https://aclanthology.org/2023.acl-long.858,gao-etal-2023-livechat,"Jingsheng Gao, Yixin Lian, Ziyi Zhou, Yuzhuo Fu, and Baoyuan Wang. 2023. LiveChat: A Large-Scale Personalized Dialogue Dataset Automatically Constructed from Live Streaming. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 15387–15405, Toronto, Canada. Association for Computational Linguistics."
towards_a_taskagnostic_model_of_difficulty_estimation_for_supervised_learning_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mitigating_the_burden_of_redundant_datasets_via_batchwise_unique_samples_and_frequencyaware_losses,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dialogueact_prediction_of_future_responses_based_on_conversation_history,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_intrinsic_stopping_criterion_for_committeebased_active_learning,June,2009.0,CoNLL,https://aclanthology.org/W09-1118,olsson-tomanek-2009-intrinsic,"Fredrik Olsson and Katrin Tomanek. 2009. An Intrinsic Stopping Criterion for Committee-Based Active Learning. In Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL-2009), pages 138–146, Boulder, Colorado. Association for Computational Linguistics."
crosslingual_transfer_from_related_languages_treating_lowresource_maltese_as_multilingual_codeswitching,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.61,micallef-etal-2024-cross,"Kurt Micallef, Nizar Habash, Claudia Borg, Fadhl Eryani, and Houda Bouamor. 2024. Cross-Lingual Transfer from Related Languages: Treating Low-Resource Maltese as Multilingual Code-Switching. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1014–1025, St. Julian’s, Malta. Association for Computational Linguistics."
employing_argumentation_knowledge_graphs_for_neural_argument_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
map_translation_using_geotagged_social_media,April,2014.0,EACL,https://aclanthology.org/E14-4012,lee-etal-2014-map,"Sunyou Lee, Taesung Lee, and Seung-won Hwang. 2014. Map Translation Using Geo-tagged Social Media. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 59–63, Gothenburg, Sweden. Association for Computational Linguistics."
the_optimal_bert_surgeon_scalable_and_accurate_secondorder_pruning_for_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mage_machinegenerated_text_detection_in_the_wild,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mage_machinegenerated_text_detection_in_the_wild,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
openwebagent_an_open_toolkit_to_enable_web_agents_on_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
selftraining_pretrained_language_models_for_zero_and_fewshot_multidialectal_arabic_sequence_labeling,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.65,khalifa-etal-2021-self,"Muhammad Khalifa, Muhammad Abdul-Mageed, and Khaled Shaalan. 2021. Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 769–782, Online. Association for Computational Linguistics."
turku_neural_parser_pipeline_an_endtoend_system_for_the_conll_2018_shared_task,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_llmdriven_dialogue_state_tracking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
employing_the_correspondence_of_relations_and_connectives_to_identify_implicit_discourse_relations_via_label_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
accelerated_estimation_of_conditional_random_fields_using_a_pseudolikelihoodinspired_perceptron_variant,April,2014.0,EACL,https://aclanthology.org/E14-4015,ruokolainen-etal-2014-accelerated,"Teemu Ruokolainen, Miikka Silfverberg, Mikko Kurimo, and Krister Linden. 2014. Accelerated Estimation of Conditional Random Fields using a Pseudo-Likelihood-inspired Perceptron Variant. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 74–78, Gothenburg, Sweden. Association for Computational Linguistics."
flamb_a_customizable_framework_for_machine_learning_experiments,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
characterizing_the_confidence_of_large_language_modelbased_automatic_evaluation_metrics,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.9,stureborg-etal-2024-characterizing,"Rickard Stureborg, Dimitris Alikaniotis, and Yoshi Suhara. 2024. Characterizing the Confidence of Large Language Model-Based Automatic Evaluation Metrics. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 76–89, St. Julian’s, Malta. Association for Computational Linguistics."
improving_multilabel_malevolence_detection_in_dialogues_through_multifaceted_label_correlation_enhancement,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lazimpa_lazy_and_impatient_neural_agents_learn_to_communicate_efficiently,November,2020.0,CoNLL,https://aclanthology.org/2020.conll-1.26,rita-etal-2020-lazimpa,"Mathieu Rita, Rahma Chaabouni, and Emmanuel Dupoux. 2020. “LazImpa”: Lazy and Impatient neural agents learn to communicate efficiently. In Proceedings of the 24th Conference on Computational Natural Language Learning, pages 335–343, Online. Association for Computational Linguistics."
enriching_biomedical_knowledge_for_lowresource_language_through_largescale_translation,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.228,phan-etal-2023-enriching,"Long Phan, Tai Dang, Hieu Tran, Trieu H. Trinh, Vy Phan, Lam D. Chau, and Minh-Thang Luong. 2023. Enriching Biomedical Knowledge for Low-resource Language Through Large-scale Translation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3131–3142, Dubrovnik, Croatia. Association for Computational Linguistics."
coins_dynamically_generating_contextualized_inference_rules_for_narrative_story_completion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ukpsquare_v3_a_platform_for_multiagent_qa_research,July,2023.0,ACL,https://aclanthology.org/2023.acl-demo.55,puerto-etal-2023-ukp,"Haritz Puerto, Tim Baumgärtner, Rachneet Sachdeva, Haishuo Fang, Hao Zhang, Sewin Tariverdian, Kexin Wang, and Iryna Gurevych. 2023. UKP-SQuARE v3: A Platform for Multi-Agent QA Research. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 569–580, Toronto, Canada. Association for Computational Linguistics."
a_systematic_study_of_neural_discourse_models_for_implicit_discourse_relation,April,2017.0,EACL,https://aclanthology.org/E17-1027,rutherford-etal-2017-systematic,"Attapol Rutherford, Vera Demberg, and Nianwen Xue. 2017. A Systematic Study of Neural Discourse Models for Implicit Discourse Relation. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 281–291, Valencia, Spain. Association for Computational Linguistics."
a_latent_variable_model_of_synchronous_syntacticsemantic_parsing_for_multiple_languages,June,2009.0,CoNLL,https://aclanthology.org/W09-1205,gesmundo-etal-2009-latent,"Andrea Gesmundo, James Henderson, Paola Merlo, and Ivan Titov. 2009. A Latent Variable Model of Synchronous Syntactic-Semantic Parsing for Multiple Languages. In Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL 2009): Shared Task, pages 37–42, Boulder, Colorado. Association for Computational Linguistics."
the_case_for_translationinvariant_selfattention_in_transformerbased_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
madnet_maximizing_addressee_deduction_expectation_for_multiparty_conversation_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
qadriven_zeroshot_slot_filling_with_weak_supervision_pretraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
informative_evidenceguided_promptbased_finetuning_for_englishkorean_critical_error_detection,November,2023.0,,https://aclanthology.org/2023.ijcnlp-main.22,jung-etal-2023-informative,"DaHyun Jung, Sugyeong Eo, Chanjun Park, Hyeonseok Moon, Jaehyung Seo, and Heuiseok Lim. 2023. Informative Evidence-guided Prompt-based Fine-tuning for English-Korean Critical Error Detection. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 344–358, Nusa Dua, Bali. Association for Computational Linguistics."
generating_informationseeking_conversations_from_unlabeled_documents,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.151,kim-etal-2022-generating,"Gangwoo Kim, Sungdong Kim, Kang Min Yoo, and Jaewoo Kang. 2022. Generating Information-Seeking Conversations from Unlabeled Documents. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 2362–2378, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
effective_and_efficient_queryaware_snippet_extraction_for_web_search,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.197,yi-etal-2022-effective,"Jingwei Yi, Fangzhao Wu, Chuhan Wu, Xiaolong Huang, Binxing Jiao, Guangzhong Sun, and Xing Xie. 2022. Effective and Efficient Query-aware Snippet Extraction for Web Search. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3035–3046, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
identifying_narrative_content_in_podcast_transcripts,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.161,abdessamed-etal-2024-identifying,"Yosra Abdessamed, Shadi Rezapour, and Steven Wilson. 2024. Identifying Narrative Content in Podcast Transcripts. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2631–2643, St. Julian’s, Malta. Association for Computational Linguistics."
summarysource_propositionlevel_alignment_task_datasets_and_supervised_baseline,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
transitionbased_bubble_parsing_improvements_on_coordination_structure_prediction,August,2021.0,,https://aclanthology.org/2021.acl-long.557,shi-lee-2021-transition,"Tianze Shi and Lillian Lee. 2021. Transition-based Bubble Parsing: Improvements on Coordination Structure Prediction. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 7167–7182, Online. Association for Computational Linguistics."
retrieve_rerank_and_rewrite_soft_template_based_neural_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
variational_graph_autoencoding_as_cheap_supervision_for_amr_coreference_resolution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_nonlinguistic_skills_without_sacrificing_linguistic_proficiency,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dsee_dually_sparsityembedded_efficient_tuning_of_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
machine_reading_of_historical_events,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
leveraging_task_dependency_and_contrastive_learning_for_case_outcome_classification_on_european_court_of_human_rights_cases,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.78,t-y-s-s-etal-2023-leveraging,"Santosh T.y.s.s, Marcel Perez San Blas, Phillip Kemper, and Matthias Grabmair. 2023. Leveraging Task Dependency and Contrastive Learning for Case Outcome Classification on European Court of Human Rights Cases. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1103–1111, Dubrovnik, Croatia. Association for Computational Linguistics."
demoting_the_lead_bias_in_news_summarization_via_alternating_adversarial_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
revisiting_unsupervised_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
obtaining_better_static_word_embeddings_using_contextual_embedding_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dialogue_state_tracking_with_explicit_slot_connection_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
affective_behaviour_analysis_of_online_user_interactions_are_online_support_groups_more_therapeutic_than_twitter,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
implicitly_abusive_comparisons__a_new_dataset_and_linguistic_analysis,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.27,wiegand-etal-2021-implicitly,"Michael Wiegand, Maja Geulig, and Josef Ruppenhofer. 2021. Implicitly Abusive Comparisons – A New Dataset and Linguistic Analysis. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 358–368, Online. Association for Computational Linguistics."
computational_argumentation_quality_assessment_in_natural_language,April,2017.0,EACL,https://aclanthology.org/E17-1017,wachsmuth-etal-2017-computational,"Henning Wachsmuth, Nona Naderi, Yufang Hou, Yonatan Bilu, Vinodkumar Prabhakaran, Tim Alberdingk Thijm, Graeme Hirst, and Benno Stein. 2017. Computational Argumentation Quality Assessment in Natural Language. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 176–187, Valencia, Spain. Association for Computational Linguistics."
structured_tuning_for_semantic_role_labeling,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.744,li-etal-2020-structured,"Tao Li, Parth Anand Jawale, Martha Palmer, and Vivek Srikumar. 2020. Structured Tuning for Semantic Role Labeling. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8402–8412, Online. Association for Computational Linguistics."
computeefficient_churn_reduction_for_conversational_agents,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.28,hidey-sarthak-2023-compute,"Christopher Hidey and Sarthak Sarthak. 2023. Compute-Efficient Churn Reduction for Conversational Agents. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 284–293, Singapore. Association for Computational Linguistics."
isomorphic_transfer_of_syntactic_structures_in_crosslingual_nlp,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
spanlevel_model_for_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
trainable_speakerbased_referring_expression_generation,August,2008.0,CoNLL,https://aclanthology.org/W08-2120,di-fabbrizio-etal-2008-trainable,"Giuseppe Di Fabbrizio, Amanda Stent, and Srinivas Bangalore. 2008. Trainable Speaker-Based Referring Expression Generation. In CoNLL 2008: Proceedings of the Twelfth Conference on Computational Natural Language Learning, pages 151–158, Manchester, England. Coling 2008 Organizing Committee."
towards_a_model_of_formal_and_informal_address_in_english,April,2012.0,EACL,https://aclanthology.org/E12-1064,faruqui-pado-2012-towards,"Manaal Faruqui and Sebastian Padó. 2012. Towards a model of formal and informal address in English. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 623–633, Avignon, France. Association for Computational Linguistics."
crosslingual_transfer_can_worsen_bias_in_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
robustlr_a_diagnostic_benchmark_for_evaluating_logical_robustness_of_deductive_reasoners,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.653,sanyal-etal-2022-robustlr,"Soumya Sanyal, Zeyi Liao, and Xiang Ren. 2022. RobustLR: A Diagnostic Benchmark for Evaluating Logical Robustness of Deductive Reasoners. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9614–9631, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
studying_summarization_evaluation_metrics_in_the_appropriate_scoring_range,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_survey_of_multitask_learning_in_natural_language_processing_regarding_task_relatedness_and_training_methods,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.66,zhang-etal-2023-survey,"Zhihan Zhang, Wenhao Yu, Mengxia Yu, Zhichun Guo, and Meng Jiang. 2023. A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 943–956, Dubrovnik, Croatia. Association for Computational Linguistics."
discriminative_reasoning_with_sparse_event_representation_for_documentlevel_eventevent_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hallucinating_phrase_translations_for_low_resource_mt,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
do_you_hear_the_people_sing_key_point_analysis_via_iterative_clustering_and_abstractive_summarisation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
glossfree_endtoend_sign_language_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
flipda_effective_and_robust_data_augmentation_for_fewshot_learning,May,2022.0,ACL,https://aclanthology.org/2022.acl-long.592,zhou-etal-2022-flipda,"Jing Zhou, Yanan Zheng, Jie Tang, Li Jian, and Zhilin Yang. 2022. FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 8646–8665, Dublin, Ireland. Association for Computational Linguistics."
adapterdistillation_nondestructive_task_composition_with_knowledge_distillation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.20,wang-etal-2023-adapterdistillation,"Junjie Wang, Yicheng Chen, Wangshu Zhang, Sen Hu, Teng Xu, and Jing Zheng. 2023. AdapterDistillation: Non-Destructive Task Composition with Knowledge Distillation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 194–201, Singapore. Association for Computational Linguistics."
earlybert_efficient_bert_training_via_earlybird_lottery_tickets,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
using_semantic_preferences_to_identify_verbal_participation_in_role_switching_alternations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
resource_creation_and_evaluation_of_aspect_based_sentiment_analysis_in_urdu,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fully_statistical_neural_belief_tracking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bert_is_not_the_count_learning_to_match_mathematical_statements_with_proofs,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.260,li-etal-2023-bert,"Weixian Waylon Li, Yftah Ziser, Maximin Coavoux, and Shay B. Cohen. 2023. BERT Is Not The Count: Learning to Match Mathematical Statements with Proofs. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3581–3593, Dubrovnik, Croatia. Association for Computational Linguistics."
exploring_the_representation_of_word_meanings_in_context_a_case_study_on_homonymy_and_synonymy,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modeling_instance_interactions_for_joint_information_extraction_with_neural_highorder_conditional_random_field,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
aiming_beyond_the_obvious_identifying_nonobvious_cases_in_semantic_similarity_datasets,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
extractive_entitycentric_summarization_as_sentence_selection_using_biencoders,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mttelescope_an_interactive_platform_for_contrastive_evaluation_of_mt_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modeling_the_interaction_between_perceptionbased_and_productionbased_learning_in_childrens_early_acquisition_of_semantic_knowledge,November,2021.0,CoNLL,https://aclanthology.org/2021.conll-1.31,nikolaus-fourtassi-2021-modeling,"Mitja Nikolaus and Abdellah Fourtassi. 2021. Modeling the Interaction Between Perception-Based and Production-Based Learning in Children’s Early Acquisition of Semantic Knowledge. In Proceedings of the 25th Conference on Computational Natural Language Learning, pages 391–407, Online. Association for Computational Linguistics."
guofeng_a_benchmark_for_zero_pronoun_recovery_and_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
party_matters_enhancing_legislative_embeddings_with_author_attributes_for_vote_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
encoding_social_information_with_graph_convolutional_networks_forpolitical_perspective_detection_in_news_media,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
seer__a_knapsack_approach_to_exemplar_selection_for_incontext_hybridqa,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.837,tonglet-etal-2023-seer,"Jonathan Tonglet, Manon Reusens, Philipp Borchert, and Bart Baesens. 2023. SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13569–13583, Singapore. Association for Computational Linguistics."
unievent_unified_generative_model_with_multidimensional_prefix_for_zeroshot_eventrelational_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_translation_lexicon_induction_from_monolingual_corpora_via_dependency_contexts_and_partofspeech_equivalences,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
personalized_transformer_for_explainable_recommendation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ideology_takes_multiple_looks_a_highquality_dataset_for_multifaceted_ideology_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
normbased_noisy_corpora_filtering_and_refurbishing_in_neural_machine_translation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.363,lu-zhang-2022-norm,"Yu Lu and Jiajun Zhang. 2022. Norm-based Noisy Corpora Filtering and Refurbishing in Neural Machine Translation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5414–5425, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
a_crosssentence_latent_variable_model_for_semisupervised_text_sequence_matching,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bayes_test_of_precision_recall_and_f1_measure_for_comparison_of_two_natural_language_processing_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
specialist_or_generalist_instruction_tuning_for_specific_nlp_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
defsent_sentence_embeddings_using_definition_sentences,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
analyzing_semantic_change_in_japanese_loanwords,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
parameterefficient_weight_ensembling_facilitates_tasklevel_knowledge_transfer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sources_of_transfer_in_multilingual_named_entity_recognition,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.720,mueller-etal-2020-sources,"David Mueller, Nicholas Andrews, and Mark Dredze. 2020. Sources of Transfer in Multilingual Named Entity Recognition. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8093–8104, Online. Association for Computational Linguistics."
learning_spoken_language_representations_with_neural_lattice_language_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_sentence_embeddings_with_automatic_generation_of_training_data_using_fewshot_examples,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
considering_likelihood_in_nlp_classification_explanations_with_occlusion_and_language_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
discourse_marker_augmented_network_with_reinforcement_learning_for_natural_language_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
interpretable_math_word_problem_solution_generation_via_stepbystep_planning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multiview_contrastive_learning_for_entity_typing_over_knowledge_graphs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
batch_prompting_efficient_inference_with_large_language_model_apis,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.74,cheng-etal-2023-batch,"Zhoujun Cheng, Jungo Kasai, and Tao Yu. 2023. Batch Prompting: Efficient Inference with Large Language Model APIs. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 792–810, Singapore. Association for Computational Linguistics."
multidomain_neural_machine_translation_with_wordlevel_adaptive_layerwise_domain_mixing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
quoter_a_benchmark_of_quote_recommendation_for_writing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_selftraining_framework_for_automated_medical_report_generation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.1024,wang-etal-2023-self-training,"Siyuan Wang, Zheng Liu, and Bo Peng. 2023. A Self-training Framework for Automated Medical Report Generation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16443–16449, Singapore. Association for Computational Linguistics."
comparison_of_diverse_decoding_methods_from_conditional_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
knowledge_distillation_for_multilingual_unsupervised_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mapping_natural_language_instructions_to_mobile_ui_action_sequences,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.729,li-etal-2020-mapping,"Yang Li, Jiacong He, Xin Zhou, Yuan Zhang, and Jason Baldridge. 2020. Mapping Natural Language Instructions to Mobile UI Action Sequences. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8198–8210, Online. Association for Computational Linguistics."
modeling_temporalmodal_entity_graph_for_procedural_multimodal_machine_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
knowledge_of_cultural_moral_norms_in_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
textbrewer_an_opensource_knowledge_distillation_toolkit_for_natural_language_processing,July,2020.0,ACL,https://aclanthology.org/2020.acl-demos.2,yang-etal-2020-textbrewer,"Ziqing Yang, Yiming Cui, Zhipeng Chen, Wanxiang Che, Ting Liu, Shijin Wang, and Guoping Hu. 2020. TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 9–16, Online. Association for Computational Linguistics."
amrbased_network_for_aspectbased_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_disfluency_detection_by_selftraining_a_selfattentive_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatically_extracting_challenge_sets_for_nonlocal_phenomena_in_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
emotional_intensity_estimation_based_on_writers_personality,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fame_flexible_scalable_analogy_mappings_engine,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
constructing_multilingual_code_search_dataset_using_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generalizing_to_unseen_entities_and_entity_pairs_with_rowless_universal_schema,April,2017.0,EACL,https://aclanthology.org/E17-1058,verga-etal-2017-generalizing,"Patrick Verga, Arvind Neelakantan, and Andrew McCallum. 2017. Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 613–622, Valencia, Spain. Association for Computational Linguistics."
hosmel_a_hotswappable_modularized_entity_linking_toolkit_for_chinese,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
assist_automated_semantic_assistance_for_translators,,2006.0,EACL,https://aclanthology.org/E06-2014,sharoff-etal-2006-assist,"Serge Sharoff, Bogdan Babych, Paul Rayson, Olga Mudraya, and Scott Piao. 2006. ASSIST: Automated Semantic Assistance for Translators. In Demonstrations, pages 139–142."
question_generation_for_adaptive_education,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gcan_graphaware_coattention_networks_for_explainable_fake_news_detection_on_social_media,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
spoiler_detection_as_semantic_text_matching,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dave_differential_diagnostic_analysis_automation_and_visualization_from_clinical_notes,May,2023.0,EACL,https://aclanthology.org/2023.eacl-demo.33,hamoud-etal-2023-dave,"Hadi Hamoud, Fadi Zaraket, Chadi Abou Chakra, and Mira Dankar. 2023. DAVE: Differential Diagnostic Analysis Automation and Visualization from Clinical Notes. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 307–314, Dubrovnik, Croatia. Association for Computational Linguistics."
signal_in_noise_exploring_meaning_encoded_in_random_character_sequences_with_characteraware_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_novel_estimator_of_mutual_information_for_learning_to_disentangle_textual_representations,August,2021.0,,https://aclanthology.org/2021.acl-long.511,colombo-etal-2021-novel,"Pierre Colombo, Pablo Piantanida, and Chloé Clavel. 2021. A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 6539–6550, Online. Association for Computational Linguistics."
were_afraid_language_models_arent_modeling_ambiguity,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
identifying_informational_sources_in_news_articles,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
empathetic_dialog_generation_with_finegrained_intents,November,2021.0,CoNLL,https://aclanthology.org/2021.conll-1.10,xie-pu-2021-empathetic,"Yubo Xie and Pearl Pu. 2021. Empathetic Dialog Generation with Fine-Grained Intents. In Proceedings of the 25th Conference on Computational Natural Language Learning, pages 133–147, Online. Association for Computational Linguistics."
crosslingual_similarity_of_multilingual_representations_revisited,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
federated_learning_of_large_language_models_with_parameterefficient_prompt_tuning_and_adaptive_optimization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
clustering_word_embeddings_with_selforganizing_maps_application_on_laroseda__a_large_romanian_sentiment_data_set,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
how_grammatical_is_characterlevel_neural_machine_translation_assessing_mt_quality_with_contrastive_translation_pairs,April,2017.0,EACL,https://aclanthology.org/E17-2060,sennrich-2017-grammatical,"Rico Sennrich. 2017. How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 376–382, Valencia, Spain. Association for Computational Linguistics."
unsupervised_selective_rationalization_with_noise_injection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_documentlevel_translation_enables_zeroshot_transfer_from_sentences_to_documents,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_patient_is_more_dead_than_alive_exploring_the_current_state_of_the_multidocument_summarisation_of_the_biomedical_literature,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
implicit_discourse_relation_identification_for_opendomain_dialogues,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_hallucination_and_predictive_uncertainty_in_conditional_language_generation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.236,xiao-wang-2021-hallucination,"Yijun Xiao and William Yang Wang. 2021. On Hallucination and Predictive Uncertainty in Conditional Language Generation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2734–2744, Online. Association for Computational Linguistics."
the_impact_of_spelling_errors_on_patent_search,April,2012.0,EACL,https://aclanthology.org/E12-1058,stein-etal-2012-impact,"Benno Stein, Dennis Hoppe, and Tim Gollub. 2012. The Impact of Spelling Errors on Patent Search. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 570–579, Avignon, France. Association for Computational Linguistics."
trankit_a_lightweight_transformerbased_toolkit_for_multilingual_natural_language_processing,April,2021.0,EACL,https://aclanthology.org/2021.eacl-demos.10,nguyen-etal-2021-trankit,"Minh Van Nguyen, Viet Dac Lai, Amir Pouran Ben Veyseh, and Thien Huu Nguyen. 2021. Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 80–90, Online. Association for Computational Linguistics."
learning_auxiliary_fronting_with_grammatical_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
word2sense_sparse_interpretable_word_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
length_control_in_abstractive_summarization_by_pretraining_information_selection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
predicting_humorousness_and_metaphor_novelty_with_gaussian_process_preference_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
llmebench_a_flexible_framework_for_accelerating_llms_benchmarking,March,2024.0,EACL,https://aclanthology.org/2024.eacl-demo.23,dalvi-etal-2024-llmebench,"Fahim Dalvi, Maram Hasanain, Sabri Boughorbel, Basel Mousi, Samir Abdaljalil, Nizi Nazar, Ahmed Abdelali, Shammur Absar Chowdhury, Hamdy Mubarak, Ahmed Ali, Majd Hawasly, Nadir Durrani, and Firoj Alam. 2024. LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 214–222, St. Julians, Malta. Association for Computational Linguistics."
triangular_transfer_freezing_the_pivot_for_triangular_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
encoding_semantic_resources_in_syntactic_structures_for_passage_reranking,April,2014.0,EACL,https://aclanthology.org/E14-1070,tymoshenko-etal-2014-encoding,"Kateryna Tymoshenko, Alessandro Moschitti, and Aliaksei Severyn. 2014. Encoding Semantic Resources in Syntactic Structures for Passage Reranking. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 664–672, Gothenburg, Sweden. Association for Computational Linguistics."
online_largemargin_training_for_statistical_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
obtaining_faithful_interpretations_from_compositional_neural_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nne_a_dataset_for_nested_named_entity_recognition_in_english_newswire,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
stop_pretraining_adapt_visuallanguage_models_to_unseen_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_statistical_semantic_parser_that_integrates_syntax_and_semantics,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
french_gossipprompts_dataset_for_prevention_of_generating_french_gossip_stories_by_llms,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.1,sathvik-etal-2024-french,"Msvpj Sathvik, Abhilash Dowpati, and Revanth Narra. 2024. French GossipPrompts: Dataset For Prevention of Generating French Gossip Stories By LLMs. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1–7, St. Julian’s, Malta. Association for Computational Linguistics."
rethinking_loss_functions_for_fact_verification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reconstruing_meaning_in_nlp,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
revisiting_the_knowledge_injection_frameworks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
quantifying_the_redundancy_between_prosody_and_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
skipbert_efficient_inference_with_shallow_layer_skipping,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
convolutions_and_selfattention_reinterpreting_relative_positions_in_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_gibbs_sampling_for_joint_event_argument_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
strong_baselines_for_neural_semisupervised_learning_under_domain_shift,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
grammatical_profiling_for_semantic_change_detection,November,2021.0,CoNLL,https://aclanthology.org/2021.conll-1.33,kutuzov-etal-2021-grammatical,"Andrey Kutuzov, Lidia Pivovarova, and Mario Giulianelli. 2021. Grammatical Profiling for Semantic Change Detection. In Proceedings of the 25th Conference on Computational Natural Language Learning, pages 423–434, Online. Association for Computational Linguistics."
how_to_distill_your_bert_an_empirical_study_on_the_impact_of_weight_initialisation_and_distillation_objectives,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_efficacy_of_sampling_adapters,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
formlm_recommending_creation_ideas_for_online_forms_by_modelling_semantic_and_structural_information,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.557,shao-etal-2022-formlm,"Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, and Dongmei Zhang. 2022. FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8133–8149, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
patton_language_model_pretraining_on_textrich_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
visuallanguage_navigation_pretraining_via_promptbased_environmental_selfexploration,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_twostage_parser_for_multilingual_dependency_parsing,June,2007.0,,https://aclanthology.org/D07-1122,chen-etal-2007-two,"Wenliang Chen, Yujie Zhang, and Hitoshi Isahara. 2007. A Two-Stage Parser for Multilingual Dependency Parsing. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 1129–1133, Prague, Czech Republic. Association for Computational Linguistics."
a_working_memory_model_for_taskoriented_dialog_response_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
clcl_geneva_dinn_parser_a_neural_network_dependency_parser_ten_years_later,August,2017.0,CoNLL,https://aclanthology.org/K17-3024,moor-etal-2017-clcl,"Christophe Moor, Paola Merlo, James Henderson, and Haozhou Wang. 2017. CLCL (Geneva) DINN Parser: a Neural Network Dependency Parser Ten Years Later. In Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 228–236, Vancouver, Canada. Association for Computational Linguistics."
msdetr_natural_language_video_localization_with_sampling_momentmoment_interaction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
snag_spoken_narratives_and_gaze_dataset,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
characterizing_verbatim_shortterm_memory_in_neural_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
asad_arabic_social_media_analytics_and_understanding,April,2021.0,EACL,https://aclanthology.org/2021.eacl-demos.14,hassan-etal-2021-asad,"Sabit Hassan, Hamdy Mubarak, Ahmed Abdelali, and Kareem Darwish. 2021. ASAD: Arabic Social media Analytics and unDerstanding. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 113–118, Online. Association for Computational Linguistics."
hybrid_multilingual_parsing_with_hpsg_for_srl,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
vistruct_visual_structural_knowledge_extraction_via_curriculum_guided_codevision_representation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.824,chen-etal-2023-vistruct,"Yangyi Chen, Xingyao Wang, Manling Li, Derek Hoiem, and Heng Ji. 2023. ViStruct: Visual Structural Knowledge Extraction via Curriculum Guided Code-Vision Representation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13342–13357, Singapore. Association for Computational Linguistics."
exploiting_sentential_context_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
translationese_as_a_language_in_multilingual_nmt,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.691,riley-etal-2020-translationese,"Parker Riley, Isaac Caswell, Markus Freitag, and David Grangier. 2020. Translationese as a Language in “Multilingual” NMT. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 7737–7746, Online. Association for Computational Linguistics."
sapgraph_structureaware_extractive_summarization_for_scientific_papers_with_heterogeneous_graph,November,2022.0,,https://aclanthology.org/2022.aacl-main.44,qi-etal-2022-sapgraph,"Siya Qi, Lei Li, Yiyang Li, Jin Jiang, Dingxin Hu, Yuze Li, Yingqi Zhu, Yanquan Zhou, Marina Litvak, and Natalia Vanetik. 2022. SAPGraph: Structure-aware Extractive Summarization for Scientific Papers with Heterogeneous Graph. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 575–586, Online only. Association for Computational Linguistics."
how_multi_is_multidocument_summarization,,2000.0,COLING,https://aclanthology.org/C00-2129,utiyama-hasida-2000-multi,Masao Utiyama and Koiti Hasida. 2000. Multi-Topic Multi-Document Summarization. In COLING 2000 Volume 2: The 18th International Conference on Computational Linguistics.
numerical_optimizations_for_weighted_lowrank_estimation_on_language_models,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.91,hua-etal-2022-numerical,"Ting Hua, Yen-Chang Hsu, Felicity Wang, Qian Lou, Yilin Shen, and Hongxia Jin. 2022. Numerical Optimizations for Weighted Low-rank Estimation on Language Models. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1404–1416, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
unsupervised_rewriter_for_multisentence_compression,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dual_adversarial_neural_transfer_for_lowresource_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unveiling_the_implicit_toxicity_in_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
synergy_with_translation_artifacts_for_training_and_inference_in_multilingual_tasks,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.452,oh-etal-2022-synergy,"Jaehoon Oh, Jongwoo Ko, and Se-Young Yun. 2022. Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6747–6754, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
pulling_out_the_stops_rethinking_stopword_removal_for_topic_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_hyperparameter_optimization_toolkit_for_neural_machine_translation_research,July,2023.0,ACL,https://aclanthology.org/2023.acl-demo.15,zhang-etal-2023-hyperparameter,"Xuan Zhang, Kevin Duh, and Paul McNamee. 2023. A Hyperparameter Optimization Toolkit for Neural Machine Translation Research. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 161–168, Toronto, Canada. Association for Computational Linguistics."
exploiting_wikipedia_as_external_knowledge_for_named_entity_recognition,June,2007.0,,https://aclanthology.org/D07-1073,kazama-torisawa-2007-exploiting,"Jun’ichi Kazama and Kentaro Torisawa. 2007. Exploiting Wikipedia as External Knowledge for Named Entity Recognition. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 698–707, Prague, Czech Republic. Association for Computational Linguistics."
local_byte_fusion_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
efficient_strategies_for_hierarchical_text_classification_external_knowledge_and_auxiliary_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
toward_interactive_dictation,July,2023.0,ACL,https://aclanthology.org/2023.acl-long.854,li-etal-2023-toward,"Belinda Z. Li, Jason Eisner, Adam Pauls, and Sam Thomson. 2023. Toward Interactive Dictation. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 15319–15338, Toronto, Canada. Association for Computational Linguistics."
covid19_claim_radar_a_structured_claim_extraction_and_tracking_system,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
storyanalogy_deriving_storylevel_analogies_from_large_language_models_to_unlock_analogical_understanding,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.706,jiayang-etal-2023-storyanalogy,"Cheng Jiayang, Lin Qiu, Tsz Chan, Tianqing Fang, Weiqi Wang, Chunkit Chan, Dongyu Ru, Qipeng Guo, Hongming Zhang, Yangqiu Song, Yue Zhang, and Zheng Zhang. 2023. StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11518–11537, Singapore. Association for Computational Linguistics."
typesupervised_domain_adaptation_for_joint_segmentation_and_postagging,April,2014.0,EACL,https://aclanthology.org/E14-1062,zhang-etal-2014-type,"Meishan Zhang, Yue Zhang, Wanxiang Che, and Ting Liu. 2014. Type-Supervised Domain Adaptation for Joint Segmentation and POS-Tagging. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 588–597, Gothenburg, Sweden. Association for Computational Linguistics."
gender_in_danger_evaluating_speech_translation_technology_on_the_mustshe_corpus,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
topic_balancing_with_additive_regularization_of_topic_models,July,2020.0,ACL,https://aclanthology.org/2020.acl-srw.9,veselova-vorontsov-2020-topic,"Eugeniia Veselova and Konstantin Vorontsov. 2020. Topic Balancing with Additive Regularization of Topic Models. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 59–65, Online. Association for Computational Linguistics."
reinforcement_replaces_supervision_query_focused_summarization_using_deep_reinforcement_learning,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.977,nath-etal-2023-reinforcement,"Swaroop Nath, Pushpak Bhattacharyya, and Harshad Khadilkar. 2023. Reinforcement Replaces Supervision: Query focused Summarization using Deep Reinforcement Learning. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15770–15789, Singapore. Association for Computational Linguistics."
scientific_paper_extractive_summarization_enhanced_by_citation_graphs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
senseaware_neural_models_for_pun_location_in_texts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_neurosymbolic_world_models_with_conversational_proprioception,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
projectthentransfer_effective_twostage_crosslingual_transfer_for_semantic_dependency_parsing,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.221,ozaki-etal-2021-project,"Hiroaki Ozaki, Gaku Morio, Terufumi Morishita, and Toshinori Miyoshi. 2021. Project-then-Transfer: Effective Two-stage Cross-lingual Transfer for Semantic Dependency Parsing. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2586–2594, Online. Association for Computational Linguistics."
targetsensitive_memory_networks_for_aspect_sentiment_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lowresource_generation_of_multihop_reasoning_questions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
who_are_all_the_stochastic_parrots_imitating_they_should_tell_us,November,2023.0,,https://aclanthology.org/2023.ijcnlp-short.13,shaier-etal-2023-stochastic,"Sagi Shaier, Lawrence Hunter, and Katharina Kann. 2023. Who Are All The Stochastic Parrots Imitating? They Should Tell Us!. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 113–120, Nusa Dua, Bali. Association for Computational Linguistics."
hypernetworkbased_decoupling_to_improve_model_generalization_for_fewshot_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_building_a_robust_toxicity_predictor,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.56,bespalov-etal-2023-towards,"Dmitriy Bespalov, Sourav Bhabesh, Yi Xiang, Liutong Zhou, and Yanjun Qi. 2023. Towards Building a Robust Toxicity Predictor. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 581–598, Toronto, Canada. Association for Computational Linguistics."
a_graphical_interface_for_curating_schemas,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multisource_probing_for_opendomain_conversational_understanding,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.769,li-etal-2023-multi-source-probing,"Yuanxi Li, Hao Zhou, Jie Zhou, and Minlie Huang. 2023. Multi-Source Probing for Open-Domain Conversational Understanding. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12491–12505, Singapore. Association for Computational Linguistics."
mobilebert_a_compact_taskagnostic_bert_for_resourcelimited_devices,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
grammatical_error_correction_systems_for_automated_assessment_are_they_susceptible_to_universal_adversarial_attacks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multistage_pretraining_over_simplified_multimodal_pretraining_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_dependency_learning_exploiting_rich_features_for_tagging_syntactic_and_semantic_dependencies,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
helping_the_weak_makes_you_strong_simple_multitask_learning_improves_nonautoregressive_translators,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
identifying_adverse_drug_events_mentions_in_tweets_using_attentive_collocated_and_aggregated_medical_representation,August,2019.0,ACL,https://aclanthology.org/W19-3209,zhao-etal-2019-identifying,"Xinyan Zhao, Deahan Yu, and V.G.Vinod Vydiswaran. 2019. Identifying Adverse Drug Events Mentions in Tweets Using Attentive, Collocated, and Aggregated Medical Representation. In Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task, pages 62–70, Florence, Italy. Association for Computational Linguistics."
parameterefficient_conversational_recommender_system_as_a_language_processing_task,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sentence_compression_with_joint_structural_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
drbert_a_robust_pretrained_model_in_french_for_biomedical_and_clinical_domains,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
toward_better_storylines_with_sentencelevel_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
overcoming_catastrophic_forgetting_beyond_continual_learning_balanced_training_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluation_of_automatically_identified_index_terms_for_browsing_electronic_documents,April,2000.0,,https://aclanthology.org/A00-1042,wacholder-etal-2000-evaluation,"Nina Wacholder, Judith L. Klavans, and David K. Evans. 2000. Evaluation of Automatically Identified Index Terms for Browsing Electronic Documents. In Sixth Applied Natural Language Processing Conference, pages 302–309, Seattle, Washington, USA. Association for Computational Linguistics."
maltoptimizer_an_optimization_tool_for_maltparser,April,2012.0,EACL,https://aclanthology.org/E12-2012,ballesteros-nivre-2012-maltoptimizer,"Miguel Ballesteros and Joakim Nivre. 2012. MaltOptimizer: An Optimization Tool for MaltParser. In Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 58–62, Avignon, France. Association for Computational Linguistics."
incorporating_question_answeringbased_signals_into_abstractive_summarization_via_salient_span_selection,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.42,deutsch-roth-2023-incorporating,"Daniel Deutsch and Dan Roth. 2023. Incorporating Question Answering-Based Signals into Abstractive Summarization via Salient Span Selection. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 575–588, Dubrovnik, Croatia. Association for Computational Linguistics."
sequence_labeling_parsing_by_learning_across_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
uncovering_probabilistic_implications_in_typological_knowledge_bases,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tailor_generating_and_perturbing_text_with_semantic_controls,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
what_clued_the_ai_doctor_in_on_the_influence_of_data_source_and_quality_for_transformerbased_medical_selfdisclosure_detection,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.86,valizadeh-etal-2023-clued,"Mina Valizadeh, Xing Qian, Pardis Ranjbar-Noiey, Cornelia Caragea, and Natalie Parde. 2023. What Clued the AI Doctor In? On the Influence of Data Source and Quality for Transformer-Based Medical Self-Disclosure Detection. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1201–1216, Dubrovnik, Croatia. Association for Computational Linguistics."
dont_eclipse_your_arts_due_to_small_discrepancies_boundary_repositioning_with_a_pointer_network_for_aspect_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
zeroshot_crosslingual_transfer_with_learned_projections_using_unlabeled_targetlanguage_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
recgpt_generative_pretraining_for_textbased_recommendation,August,2024.0,ACL,https://aclanthology.org/2024.acl-short.29,ngo-nguyen-2024-recgpt,"Hoang Ngo and Dat Quoc Nguyen. 2024. RecGPT: Generative Pre-training for Text-based Recommendation. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 302–313, Bangkok, Thailand. Association for Computational Linguistics."
reducing_gender_bias_in_wordlevel_language_models_with_a_genderequalizing_loss_function,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
toward_interpretable_semantic_textual_similarity_via_optimal_transportbased_contrastive_sentence_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
argument_strength_is_in_the_eye_of_the_beholder_audience_effects_in_persuasion,April,2017.0,EACL,https://aclanthology.org/E17-1070,lukin-etal-2017-argument,"Stephanie Lukin, Pranav Anand, Marilyn Walker, and Steve Whittaker. 2017. Argument Strength is in the Eye of the Beholder: Audience Effects in Persuasion. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 742–753, Valencia, Spain. Association for Computational Linguistics."
personalized_language_model_for_query_autocompletion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lightweight_crosslingual_sentence_representation_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dropmix_a_textual_data_augmentation_combining_dropout_with_mixup,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
codet5_open_code_large_language_models_for_code_understanding_and_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
shield_defending_textual_neural_networks_against_multiple_blackbox_adversarial_attacks_with_stochastic_multiexpert_patcher,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
probing_physical_reasoning_with_countercommonsense_context,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
openhands_making_sign_language_recognition_accessible_with_posebased_pretrained_models_across_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_webbased_interactive_tool_for_creating_inspecting_editing_and_publishing_etymological_datasets,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_long_document_topic_segmentation_models_with_enhanced_coherence_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
leveraging_monolingual_data_with_selfsupervision_for_multilingual_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fews_largescale_lowshot_word_sense_disambiguation_with_the_dictionary,August,2010.0,WS,https://aclanthology.org/W10-4001,bhattacharyya-2010-word,"Pushpak Bhattacharyya. 2010. Word Sense Disambiguation and IR. In Proceedings of the 4th Workshop on Cross Lingual Information Access, page 1, Beijing, China. Coling 2010 Organizing Committee."
anaphor_assisted_documentlevel_relation_extraction,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.955,lu-etal-2023-anaphor,"Chonggang Lu, Richong Zhang, Kai Sun, Jaein Kim, Cunwang Zhang, and Yongyi Mao. 2023. Anaphor Assisted Document-Level Relation Extraction. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15453–15464, Singapore. Association for Computational Linguistics."
revisiting_the_compositional_generalization_abilities_of_neural_sequence_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bootstrapping_neural_relation_and_explanation_classifiers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
efficient_lowrank_multimodal_fusion_with_modalityspecific_factors,July,2018.0,ACL,https://aclanthology.org/P18-1209,liu-etal-2018-efficient-low,"Zhun Liu, Ying Shen, Varun Bharadhwaj Lakshminarasimhan, Paul Pu Liang, AmirAli Bagher Zadeh, and Louis-Philippe Morency. 2018. Efficient Low-rank Multimodal Fusion With Modality-Specific Factors. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2247–2256, Melbourne, Australia. Association for Computational Linguistics."
towards_knowledgeintensive_texttosql_semantic_parsing_with_formulaic_knowledge,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.350,dou-etal-2022-towards,"Longxu Dou, Yan Gao, Xuqi Liu, Mingyang Pan, Dingzirui Wang, Wanxiang Che, Dechen Zhan, Min-Yen Kan, and Jian-Guang Lou. 2022. Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5240–5253, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
active_learning_via_membership_query_synthesis_for_semisupervised_sentence_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
intent_classification_and_slot_filling_for_privacy_policies,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_analysis_of_the_utility_of_explicit_negative_examples_to_improve_the_syntactic_abilities_of_neural_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
effective_adversarial_regularization_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
linguistic_variation_and_computation_invited_talk,April,2003.0,EACL,https://aclanthology.org/E03-1088,nerbonne-2003-linguistic,"John Nerbonne. 2003. Linguistic Variation and Computation (Invited talk). In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
automatically_identifying_complaints_in_social_media,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fast_and_accurate_nonprojective_dependency_tree_linearization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
biofid_dataset_publishing_a_german_gold_standard_for_named_entity_recognition_in_historical_biodiversity_literature,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lightweight_and_efficient_neural_natural_language_processing_with_quaternion_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
prophetchat_enhancing_dialogue_generation_with_simulation_of_future_conversation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mori_loanwords_a_corpus_of_new_zealand_english_tweets,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploiting_document_knowledge_for_aspectlevel_sentiment_classification,July,2018.0,ACL,https://aclanthology.org/P18-2092,he-etal-2018-exploiting,"Ruidan He, Wee Sun Lee, Hwee Tou Ng, and Daniel Dahlmeier. 2018. Exploiting Document Knowledge for Aspect-level Sentiment Classification. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 579–585, Melbourne, Australia. Association for Computational Linguistics."
a_generative_model_for_endtoend_argument_mining_with_reconstructed_positional_encoding_and_constrained_pointer_mechanism,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.713,bao-etal-2022-generative,"Jianzhu Bao, Yuhang He, Yang Sun, Bin Liang, Jiachen Du, Bing Qin, Min Yang, and Ruifeng Xu. 2022. A Generative Model for End-to-End Argument Mining with Reconstructed Positional Encoding and Constrained Pointer Mechanism. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10437–10449, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
localizing_expression_of_ambiguity,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_robust_linguistic_analysis_using_ontonotes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_content_preservation_in_text_style_transfer_using_reverse_attention_and_conditional_layer_normalization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mind_the_labels_describing_relations_in_knowledge_graphs_with_pretrained_models,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.176,kasner-etal-2023-mind,"Zdeněk Kasner, Ioannis Konstas, and Ondrej Dusek. 2023. Mind the Labels: Describing Relations in Knowledge Graphs With Pretrained Models. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2398–2415, Dubrovnik, Croatia. Association for Computational Linguistics."
contrastive_selfsupervised_learning_for_commonsense_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
retrofitting_multilingual_sentence_embeddings_with_abstract_meaning_representation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.433,cai-etal-2022-retrofitting,"Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, and Wai Lam. 2022. Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6456–6472, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
democratizing_reasoning_ability_tailored_learning_from_large_language_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adversarial_and_domainaware_bert_for_crossdomain_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
robust_representation_learning_with_reliable_pseudolabels_generation_via_selfadaptive_optimal_transport_for_short_text_clustering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rpd_a_distance_function_between_word_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
byte_pair_encoding_for_symbolic_music,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
early_stopping_based_on_unlabeled_samples_in_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_from_the_worst_dynamically_generated_datasets_to_improve_online_hate_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
kronecker_decomposition_for_gpt_compression,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.24,edalati-etal-2022-kronecker,"Ali Edalati, Marzieh Tahaei, Ahmad Rashid, Vahid Nia, James Clark, and Mehdi Rezagholizadeh. 2022. Kronecker Decomposition for GPT Compression. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 219–226, Dublin, Ireland. Association for Computational Linguistics."
a_neural_network_architecture_for_program_understanding_inspired_by_human_behaviors,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
toward_comprehensive_understanding_of_a_sentiment_based_on_human_motives,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
training_hybrid_language_models_by_marginalizing_over_segmentations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
largemargin_learning_of_submodular_summarization_models,April,2012.0,EACL,https://aclanthology.org/E12-1023,sipos-etal-2012-large,"Ruben Sipos, Pannaga Shivaswamy, and Thorsten Joachims. 2012. Large-Margin Learning of Submodular Summarization Models. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 224–233, Avignon, France. Association for Computational Linguistics."
hallucinated_but_factual_inspecting_the_factuality_of_hallucinations_in_abstractive_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
uscore_an_effective_approach_to_fully_unsupervised_evaluation_metrics_for_machine_translation,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.27,belouadi-eger-2023-uscore,"Jonas Belouadi and Steffen Eger. 2023. UScore: An Effective Approach to Fully Unsupervised Evaluation Metrics for Machine Translation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 358–374, Dubrovnik, Croatia. Association for Computational Linguistics."
matilda__multiannotator_multilanguage_interactivelightweight_dialogue_annotator,April,2021.0,EACL,https://aclanthology.org/2021.eacl-demos.5,cucurnia-etal-2021-matilda,"Davide Cucurnia, Nikolai Rozanov, Irene Sucameli, Augusto Ciuffoletti, and Maria Simi. 2021. MATILDA - Multi-AnnoTator multi-language InteractiveLight-weight Dialogue Annotator. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 32–39, Online. Association for Computational Linguistics."
counterfactual_data_augmentation_via_perspective_transition_for_opendomain_dialogues,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
is_supervised_syntactic_parsing_beneficial_for_language_understanding_tasks_an_empirical_investigation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.270,glavas-vulic-2021-supervised,"Goran Glavaš and Ivan Vulić. 2021. Is Supervised Syntactic Parsing Beneficial for Language Understanding Tasks? An Empirical Investigation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3090–3104, Online. Association for Computational Linguistics."
probing_simile_knowledge_from_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
investigating_tabletotext_generation_capabilities_of_large_language_models_in_realworld_information_seeking_scenarios,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_probabilityquality_paradox_in_language_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
topological_sort_for_sentence_ordering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
best_of_both_worlds_towards_improving_temporal_knowledge_base_question_answering_via_targeted_fact_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_agreement_for_multilingual_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hyperpolyglot_llms_crosslingual_interpretability_in_token_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_simple_textbased_relevant_location_prediction_method_using_knowledge_base,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multirelational_script_learning_for_discourse_relations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
trust_but_verify_better_entity_linking_through_automatic_verification,April,2017.0,EACL,https://aclanthology.org/E17-1078,heinzerling-etal-2017-trust,"Benjamin Heinzerling, Michael Strube, and Chin-Yew Lin. 2017. Trust, but Verify! Better Entity Linking through Automatic Verification. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 828–838, Valencia, Spain. Association for Computational Linguistics."
promoting_pretrained_lm_with_linguistic_features_on_automatic_readability_assessment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_graphbased_text_representations_with_character_and_word_level_ngrams,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatic_generation_of_personalized_comment_based_on_user_profile,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
granularity_matters_pathological_graphdriven_crossmodal_alignment_for_brain_ct_report_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
identifying_patterns_for_unsupervised_grammar_induction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
contrastive_learning_enhanced_authorstyle_headline_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_decompose_hypothetical_question_decomposition_based_on_comparable_texts,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.142,zhou-etal-2022-learning-decompose,"Ben Zhou, Kyle Richardson, Xiaodong Yu, and Dan Roth. 2022. Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 2223–2235, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
standardizing_distress_analysis_emotiondriven_distress_identification_and_cause_extraction_dice_in_multimodal_online_posts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bridging_the_gap_between_training_and_inference_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
revup_revise_and_update_information_bottleneck_for_event_representation,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.56,rezaee-ferraro-2023-revup,"Mehdi Rezaee and Francis Ferraro. 2023. RevUp: Revise and Update Information Bottleneck for Event Representation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 797–814, Dubrovnik, Croatia. Association for Computational Linguistics."
transformerxl_attentive_language_models_beyond_a_fixedlength_context,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
taskagnostic_lowrank_adapters_for_unseen_english_dialects,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generating_harder_crossdocument_event_coreference_resolution_datasets_using_metaphoric_paraphrasing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
celebrity_profiling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fast_recursive_multiclass_classification_of_pairs_of_text_entities_for_biomedical_event_extraction,April,2014.0,EACL,https://aclanthology.org/E14-1073,liu-etal-2014-fast,"Xiao Liu, Antoine Bordes, and Yves Grandvalet. 2014. Fast Recursive Multi-class Classification of Pairs of Text Entities for Biomedical Event Extraction. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 692–701, Gothenburg, Sweden. Association for Computational Linguistics."
understanding_and_improving_the_robustness_of_terminology_constraints_in_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
models_teaching_models_improving_model_accuracy_with_slingshot_learning,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.236,oneill-etal-2023-models,"Lachlan O’Neill, Nandini Anantharama, Satya Borgohain, and Simon D. Angus. 2023. Models Teaching Models: Improving Model Accuracy with Slingshot Learning. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3233–3247, Dubrovnik, Croatia. Association for Computational Linguistics."
generative_replay_inspired_by_hippocampal_memory_indexing_for_continual_language_learning,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.65,maekawa-etal-2023-generative,"Aru Maekawa, Hidetaka Kamigaito, Kotaro Funakoshi, and Manabu Okumura. 2023. Generative Replay Inspired by Hippocampal Memory Indexing for Continual Language Learning. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 930–942, Dubrovnik, Croatia. Association for Computational Linguistics."
expunations_augmenting_puns_with_keywords_and_explanations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_hybrid_cnnrnn_alignment_model_for_phraseaware_sentence_classification,April,2017.0,EACL,https://aclanthology.org/E17-2071,hsu-etal-2017-hybrid,"Shiou Tian Hsu, Changsung Moon, Paul Jones, and Nagiza Samatova. 2017. A Hybrid CNN-RNN Alignment Model for Phrase-Aware Sentence Classification. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 443–449, Valencia, Spain. Association for Computational Linguistics."
mutual_a_dataset_for_multiturn_dialogue_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
guide_the_learner_controlling_product_of_experts_debiasing_method_based_on_token_attribution_similarities,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.143,modarressi-etal-2023-guide,"Ali Modarressi, Hossein Amirkhani, and Mohammad Taher Pilehvar. 2023. Guide the Learner: Controlling Product of Experts Debiasing Method Based on Token Attribution Similarities. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1954–1959, Dubrovnik, Croatia. Association for Computational Linguistics."
is_the_understanding_of_explicit_discourse_relations_required_in_machine_reading_comprehension,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.311,wu-etal-2021-understanding,"Yulong Wu, Viktor Schlegel, and Riza Batista-Navarro. 2021. Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension?. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3565–3579, Online. Association for Computational Linguistics."
performance_prediction_via_bayesian_matrix_factorisation_for_multilingual_natural_language_processing_tasks,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.131,schram-etal-2023-performance,"Viktoria Schram, Daniel Beck, and Trevor Cohn. 2023. Performance Prediction via Bayesian Matrix Factorisation for Multilingual Natural Language Processing Tasks. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1790–1801, Dubrovnik, Croatia. Association for Computational Linguistics."
contrastive_multidocument_question_generation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.2,cho-etal-2021-contrastive,"Woon Sang Cho, Yizhe Zhang, Sudha Rao, Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, and Bill Dolan. 2021. Contrastive Multi-document Question Generation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 12–30, Online. Association for Computational Linguistics."
imgtb_a_framework_for_machinegenerated_text_detection_benchmarking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_datatotext_generation_via_jointly_learning_the_segmentation_and_correspondence,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluating_the_factuality_of_zeroshot_summarizers_across_varied_domains,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.7,ramprasad-etal-2024-evaluating,"Sanjana Ramprasad, Kundan Krishna, Zachary Lipton, and Byron Wallace. 2024. Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 50–59, St. Julian’s, Malta. Association for Computational Linguistics."
neighborhood_matching_network_for_entity_alignment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nlp_tools_for_predictive_maintenance_records_in_maintnet,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adapting_a_language_model_while_preserving_its_general_knowledge,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.693,ke-etal-2022-adapting,"Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, and Bing Liu. 2022. Adapting a Language Model While Preserving its General Knowledge. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10177–10188, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
can_transformers_reason_in_fragments_of_natural_language,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.768,schlegel-etal-2022-transformers,"Viktor Schlegel, Kamen Pavlov, and Ian Pratt-Hartmann. 2022. Can Transformers Reason in Fragments of Natural Language?. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11184–11199, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
semisupervised_neural_system_for_tagging_parsing_and_lematization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gradientbased_intraattention_pruning_on_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
small_pretrained_language_models_can_be_finetuned_as_large_models_via_overparameterization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
relative_importance_in_sentence_processing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
detection_of_multiple_mental_disorders_from_social_media_with_twostream_psychiatric_experts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
deep_rnns_encode_soft_hierarchical_syntax,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
probing_linguistic_features_of_sentencelevel_representations_in_neural_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_pretrained_language_models_for_event_extraction_and_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
curriculum_learning_for_small_code_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_semanticsaware_transformer_model_of_relation_linking_for_knowledge_base_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_tabletotext_generation_with_pretrained_language_model_a_table_structure_understanding_and_text_deliberating_approach,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.562,chen-etal-2022-towards-table,"Miao Chen, Xinjiang Lu, Tong Xu, Yanyan Li, Zhou Jingbo, Dejing Dou, and Hui Xiong. 2022. Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8199–8210, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
a_synchronous_hyperedge_replacement_grammar_based_approach_for_amr_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
things_not_written_in_text_exploring_spatial_commonsense_from_visual_signals,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
video_paragraph_captioning_as_a_text_summarization_task,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
conner_consistency_training_for_crosslingual_named_entity_recognition,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.577,zhou-etal-2022-conner,"Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Luo Si, and Chunyan Miao. 2022. ConNER: Consistency Training for Cross-lingual Named Entity Recognition. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8438–8449, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
questionanalysis_prompting_improves_llm_performance_in_reasoning_tasks,August,2024.0,ACL,https://aclanthology.org/2024.acl-srw.45,yugeswardeenoo-etal-2024-question,"Dharunish Yugeswardeenoo, Kevin Zhu, and Sean O’Brien. 2024. Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), pages 402–413, Bangkok, Thailand. Association for Computational Linguistics."
dmix_adaptive_distanceaware_interpolative_mixup,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
negative_training_for_neural_dialogue_response_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dice_loss_for_dataimbalanced_nlp_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
posterior_control_of_blackbox_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
jointly_masked_sequencetosequence_model_for_nonautoregressive_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
when_the_majority_is_wrong_modeling_annotator_disagreement_for_subjective_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
accelerating_bert_inference_for_sequence_labeling_via_earlyexit,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
in_factuality_efficient_integration_of_relevant_facts_for_visual_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_la_carte_embedding_cheap_but_effective_induction_of_semantic_feature_vectors,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
conllx_shared_task_on_multilingual_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
baby_llama_knowledge_distillation_from_an_ensemble_of_teachers_trained_on_a_small_dataset_with_no_performance_penalty,December,2023.0,CoNLL,https://aclanthology.org/2023.conll-babylm.24,timiryasov-tastet-2023-baby,"Inar Timiryasov and Jean-Loup Tastet. 2023. Baby Llama: knowledge distillation from an ensemble of teachers trained on a small dataset with no performance penalty. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 279–289, Singapore. Association for Computational Linguistics."
informationtheoretic_text_hallucination_reduction_for_videogrounded_dialogue,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
vlogqa_task_dataset_and_baseline_models_for_vietnamese_spokenbased_machine_reading_comprehension,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.79,ngo-etal-2024-vlogqa,"Thinh Ngo, Khoa Dang, Son Luu, Kiet Nguyen, and Ngan Nguyen. 2024. VlogQA: Task, Dataset, and Baseline Models for Vietnamese Spoken-Based Machine Reading Comprehension. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1310–1324, St. Julian’s, Malta. Association for Computational Linguistics."
not_all_fake_news_is_written_a_dataset_and_analysis_of_misleading_video_headlines,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_neural_multidigraph_model_for_chinese_ner_with_gazetteers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_neural_machine_translation_with_weight_sharing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluating_bias_and_fairness_in_genderneutral_pretrained_visionandlanguage_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fantastically_ordered_prompts_and_where_to_find_them_overcoming_fewshot_prompt_order_sensitivity,May,2022.0,ACL,https://aclanthology.org/2022.acl-long.556,lu-etal-2022-fantastically,"Yao Lu, Max Bartolo, Alastair Moore, Sebastian Riedel, and Pontus Stenetorp. 2022. Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 8086–8098, Dublin, Ireland. Association for Computational Linguistics."
improving_image_captioning_evaluation_by_considering_inter_references_variance,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_interpretable_relationships_between_entities_relations_and_concepts_via_bayesian_structure_learning_on_open_domain_facts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
darkness_can_not_drive_out_darkness_investigating_bias_in_hate_speechdetection_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pretraining_sentiment_classifiers_with_unlabeled_dialog_data,July,2018.0,ACL,https://aclanthology.org/P18-2121,shimizu-etal-2018-pretraining,"Toru Shimizu, Nobuyuki Shimizu, and Hayato Kobayashi. 2018. Pretraining Sentiment Classifiers with Unlabeled Dialog Data. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 764–770, Melbourne, Australia. Association for Computational Linguistics."
evaluating_morphological_typology_in_zeroshot_crosslingual_transfer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
incremental_dialogue_processing_in_a_microdomain,March,2009.0,EACL,https://aclanthology.org/E09-1085,skantze-schlangen-2009-incremental,"Gabriel Skantze and David Schlangen. 2009. Incremental Dialogue Processing in a Micro-Domain. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 745–753, Athens, Greece. Association for Computational Linguistics."
the_efficiency_of_multimodal_interaction_for_a_mapbased_task,April,2000.0,,https://aclanthology.org/A00-1046,cohen-etal-2000-efficiency,"Philip Cohen, David McGee, and Josh Clow. 2000. The Efficiency of Multimodal Interaction for a Map-based Task. In Sixth Applied Natural Language Processing Conference, pages 331–338, Seattle, Washington, USA. Association for Computational Linguistics."
abstractive_open_information_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
extraction_of_diagnostic_reasoning_relations_for_clinical_knowledge_graphs,May,2022.0,ACL,https://aclanthology.org/2022.acl-srw.33,socrates-2022-extraction,"Vimig Socrates. 2022. Extraction of Diagnostic Reasoning Relations for Clinical Knowledge Graphs. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 413–421, Dublin, Ireland. Association for Computational Linguistics."
a_prompt_response_to_the_demand_for_automatic_genderneutral_translation,July,2023.0,BEA,https://aclanthology.org/2023.bea-1.23,zhang-etal-2023-assisting,"Hengyuan Zhang, Dawei Li, Yanran Li, Chenming Shang, Chufan Shi, and Yong Jiang. 2023. Assisting Language Learners: Automated Trans-Lingual Definition Generation via Contrastive Prompt Learning. In Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023), pages 260–274, Toronto, Canada. Association for Computational Linguistics."
isotropy_clusters_and_classifiers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
zero_and_fewshot_event_detection_via_promptbased_meta_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_emotional_support_dialog_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_lama_investigating_knowledge_in_multilingual_pretrained_language_models,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.284,kassner-etal-2021-multilingual,"Nora Kassner, Philipp Dufter, and Hinrich Schütze. 2021. Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3250–3258, Online. Association for Computational Linguistics."
a_unified_neural_network_model_for_readability_assessment_with_feature_projection_and_lengthbalanced_loss,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.504,li-etal-2022-unified,"Wenbiao Li, Wang Ziyang, and Yunfang Wu. 2022. A Unified Neural Network Model for Readability Assessment with Feature Projection and Length-Balanced Loss. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7446–7457, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
multimodal_named_entity_disambiguation_for_noisy_social_media_posts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
predict_the_future_from_the_past_on_the_temporal_data_distribution_shift_in_financial_sentiment_classifications,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_simple_and_fast_strategy_for_handling_rare_words_in_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
leebert_learned_early_exit_for_bert_with_crosslevel_optimization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
injecting_relational_structural_representation_in_neural_networks_for_question_similarity,July,2018.0,ACL,https://aclanthology.org/P18-2046,uva-etal-2018-injecting,"Antonio Uva, Daniele Bonadiman, and Alessandro Moschitti. 2018. Injecting Relational Structural Representation in Neural Networks for Question Similarity. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 285–291, Melbourne, Australia. Association for Computational Linguistics."
improving_open_information_extraction_via_iterative_rankaware_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
are_compressed_language_models_less_subgroup_robust,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.983,gee-etal-2023-compressed,"Leonidas Gee, Andrea Zugarini, and Novi Quadrianto. 2023. Are Compressed Language Models Less Subgroup Robust?. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15859–15868, Singapore. Association for Computational Linguistics."
speaker_overlapaware_neural_diarization_for_multiparty_meeting_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
integrating_semantic_knowledge_into_lexical_embeddings_based_on_information_content_measurement,April,2017.0,EACL,https://aclanthology.org/E17-2082,wang-ma-2017-integrating,"Hsin-Yang Wang and Wei-Yun Ma. 2017. Integrating Semantic Knowledge into Lexical Embeddings Based on Information Content Measurement. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 509–515, Valencia, Spain. Association for Computational Linguistics."
ipswaseda_system_at_conllsigmorphon_2018_shared_task_on_morphological_inflection,October,2018.0,CoNLL,https://aclanthology.org/K18-3003,fam-lepage-2018-ips,"Rashel Fam and Yves Lepage. 2018. IPS-WASEDA system at CoNLL–SIGMORPHON 2018 Shared Task on morphological inflection. In Proceedings of the CoNLL–SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection, pages 33–42, Brussels. Association for Computational Linguistics."
the_roots_search_tool_data_transparency_for_llms,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
primum_non_nocere_before_working_with_indigenous_data_the_acl_must_confront_ongoing_colonialism,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.82,schwartz-2022-primum,"Lane Schwartz. 2022. Primum Non Nocere: Before working with Indigenous data, the ACL must confront ongoing colonialism. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 724–731, Dublin, Ireland. Association for Computational Linguistics."
evolvemt_an_ensemble_mt_engine_improving_itself_with_usage_only,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
better_oov_translation_with_bilingual_terminology_mining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
signetworks_toolkit_signature_networks_for_longitudinal_language_modelling,March,2024.0,EACL,https://aclanthology.org/2024.eacl-demo.24,tseriotou-etal-2024-sig,"Talia Tseriotou, Ryan Chan, Adam Tsakalidis, Iman Munire Bilal, Elena Kochkina, Terry Lyons, and Maria Liakata. 2024. Sig-Networks Toolkit: Signature Networks for Longitudinal Language Modelling. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 223–237, St. Julians, Malta. Association for Computational Linguistics."
enriching_nonautoregressive_transformer_with_syntactic_and_semantic_structures_for_neural_machine_translation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.105,liu-etal-2021-enriching,"Ye Liu, Yao Wan, Jianguo Zhang, Wenting Zhao, and Philip Yu. 2021. Enriching Non-Autoregressive Transformer with Syntactic and Semantic Structures for Neural Machine Translation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1235–1244, Online. Association for Computational Linguistics."
the_influence_of_context_on_sentence_acceptability_judgements,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multitask_pretraining_with_structured_knowledge_for_texttosql_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nepberta_nepali_language_model_trained_in_a_large_corpus,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_crosstask_dependencies_for_joint_extraction_of_entities_events_event_arguments_and_relations,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.634,nguyen-etal-2022-learning,"Minh Van Nguyen, Bonan Min, Franck Dernoncourt, and Thien Nguyen. 2022. Learning Cross-Task Dependencies for Joint Extraction of Entities, Events, Event Arguments, and Relations. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9349–9360, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
sherliic_a_typed_eventfocused_lexical_inference_benchmark_for_evaluating_natural_language_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
xlmv_overcoming_the_vocabulary_bottleneck_in_multilingual_masked_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dimsim_an_accurate_chinese_phonetic_similarity_algorithm_based_on_learned_high_dimensional_encoding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
knowledge_unlearning_for_mitigating_privacy_risks_in_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
know_more_about_each_other_evolving_dialogue_strategy_via_compound_assessment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
twophase_semantic_role_labeling_based_on_support_vector_machines,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
wrst_towards_a_weighted_rststyle_discourse_framework,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
floodingx_improving_berts_resistance_to_adversarial_attacks_via_lossrestricted_finetuning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pretraining_is_a_hot_topic_contextualized_document_embeddings_improve_topic_coherence,August,2021.0,,https://aclanthology.org/2021.acl-short.96,bianchi-etal-2021-pre,"Federico Bianchi, Silvia Terragni, and Dirk Hovy. 2021. Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 759–766, Online. Association for Computational Linguistics."
rational_lamol_a_rationalebased_lifelong_learning_framework,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
desiq_towards_an_unbiased_challenging_benchmark_for_social_intelligence_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
coloring_the_black_box_what_synesthesia_tells_us_about_character_embeddings,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.230,kann-monsalve-mercado-2021-coloring,"Katharina Kann and Mauro M. Monsalve-Mercado. 2021. Coloring the Black Box: What Synesthesia Tells Us about Character Embeddings. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2673–2685, Online. Association for Computational Linguistics."
tabcleaner_weakly_supervised_tabular_data_cleaning_via_pretraining_for_ecommerce_catalog,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
analyzing_the_evaluation_of_crosslingual_knowledge_transfer_in_multilingual_language_models,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.177,rajaee-monz-2024-analyzing,"Sara Rajaee and Christof Monz. 2024. Analyzing the Evaluation of Cross-Lingual Knowledge Transfer in Multilingual Language Models. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2895–2914, St. Julian’s, Malta. Association for Computational Linguistics."
glyph2vec_learning_chinese_outofvocabulary_word_embedding_from_glyphs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
subword_and_spatiotemporal_models_for_identifying_actionable_information_in_haitian_kreyol,June,2011.0,CoNLL,https://aclanthology.org/W11-0309,munro-2011-subword,"Robert Munro. 2011. Subword and Spatiotemporal Models for Identifying Actionable Information in Haitian Kreyol. In Proceedings of the Fifteenth Conference on Computational Natural Language Learning, pages 68–77, Portland, Oregon, USA. Association for Computational Linguistics."
a_generationbased_deductive_method_for_math_word_problems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_comprehensive_survey_of_sentence_representations_from_the_bert_epoch_to_the_chatgpt_era_and_beyond,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.104,ramesh-kashyap-etal-2024-comprehensive,"Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Viktor Schlegel, Stefan Winkler, See-Kiong Ng, and Soujanya Poria. 2024. A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the CHATGPT Era and Beyond. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1738–1751, St. Julian’s, Malta. Association for Computational Linguistics."
learning_where_to_look_modeling_eye_movements_in_reading,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fewshot_text_ranking_with_meta_adapted_synthetic_weak_supervision,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_link_grammar_and_encyclopedic_information_of_assist_esl_learners,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_generate_movebymove_commentary_for_chess_games_from_largescale_social_forum_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fast_and_robust_multilingual_dependency_parsing_with_a_generative_latent_variable_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dual_readerparser_on_hybrid_textual_and_tabular_evidence_for_open_domain_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
document_structure_in_long_document_transformers,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.64,buchmann-etal-2024-document,"Jan Buchmann, Max Eichler, Jan-Micha Bodensohn, Ilia Kuznetsov, and Iryna Gurevych. 2024. Document Structure in Long Document Transformers. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1056–1073, St. Julian’s, Malta. Association for Computational Linguistics."
tess_texttotext_selfconditioned_simplex_diffusion,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.144,karimi-mahabadi-etal-2024-tess,"Rabeeh Karimi Mahabadi, Hamish Ivison, Jaesung Tae, James Henderson, Iz Beltagy, Matthew Peters, and Arman Cohan. 2024. TESS: Text-to-Text Self-Conditioned Simplex Diffusion. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2347–2361, St. Julian’s, Malta. Association for Computational Linguistics."
bilingual_mutual_information_based_adaptive_training_for_neural_machine_translation,August,2021.0,,https://aclanthology.org/2021.acl-short.65,xu-etal-2021-bilingual,"Yangyifan Xu, Yijin Liu, Fandong Meng, Jiajun Zhang, Jinan Xu, and Jie Zhou. 2021. Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 511–516, Online. Association for Computational Linguistics."
foundation_model_for_biomedical_graphs_integrating_knowledge_graphs_and_protein_structures_to_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_devil_in_linear_transformer,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.473,qin-etal-2022-devil,"Zhen Qin, Xiaodong Han, Weixuan Sun, Dongxu Li, Lingpeng Kong, Nick Barnes, and Yiran Zhong. 2022. The Devil in Linear Transformer. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7025–7041, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
continual_prompt_tuning_for_dialog_state_tracking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modelling_temporal_document_sequences_for_clinical_icd_coding,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.120,ng-etal-2023-modelling,"Boon Liang Clarence Ng, Diogo Santos, and Marek Rei. 2023. Modelling Temporal Document Sequences for Clinical ICD Coding. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1640–1649, Dubrovnik, Croatia. Association for Computational Linguistics."
events_realm_event_reasoning_of_entity_states_via_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_induction_of_stochastic_contextfree_grammars_using_distributional_clustering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
measuring_forecasting_skill_from_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
training_models_to_generate_recognize_and_reframe_unhelpful_thoughts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
clubert_a_clusterbased_approach_for_learning_sense_distributions_in_multiple_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ablit_a_resource_for_analyzing_and_generating_abridged_versions_of_english_literature,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.269,roemmele-etal-2023-ablit,"Melissa Roemmele, Kyle Shaffer, Katrina Olsen, Yiyi Wang, and Steve DeNeefe. 2023. AbLit: A Resource for Analyzing and Generating Abridged Versions of English Literature. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3717–3733, Dubrovnik, Croatia. Association for Computational Linguistics."
leveraging_affirmative_interpretations_from_negation_improves_natural_language_understanding,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.393,hossain-blanco-2022-leveraging,"Md Mosharaf Hossain and Eduardo Blanco. 2022. Leveraging Affirmative Interpretations from Negation Improves Natural Language Understanding. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5833–5847, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
multilevel_sentiment_analysis_of_polemo_20_extended_corpus_of_multidomain_consumer_reviews,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
extracting_headless_mwes_from_dependency_parse_trees_parsing_tagging_and_joint_modeling_approaches,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.775,shi-lee-2020-extracting,"Tianze Shi and Lillian Lee. 2020. Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling Approaches. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8780–8794, Online. Association for Computational Linguistics."
multilingual_dependency_parsing_using_global_features,June,2007.0,,https://aclanthology.org/D07-1100,nakagawa-2007-multilingual,"Tetsuji Nakagawa. 2007. Multilingual Dependency Parsing Using Global Features. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 952–956, Prague, Czech Republic. Association for Computational Linguistics."
deterministic_word_segmentation_using_maximum_matching_with_fully_lexicalized_rules,April,2014.0,EACL,https://aclanthology.org/E14-4016,sassano-2014-deterministic,"Manabu Sassano. 2014. Deterministic Word Segmentation Using Maximum Matching with Fully Lexicalized Rules. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 79–83, Gothenburg, Sweden. Association for Computational Linguistics."
unsupervised_multimodal_neural_machine_translation_with_pseudo_visual_pivoting,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multifunction_thesaurus_for_russian_word_processing,October,1994.0,ANLP,https://aclanthology.org/A94-1040,bolshakov-1994-multifunction,"Igor A. Bolshakov. 1994. Multifunction Thesaurus for Russian Word Processing. In Fourth Conference on Applied Natural Language Processing, pages 200–202, Stuttgart, Germany. Association for Computational Linguistics."
neural_document_summarization_by_jointly_learning_to_score_and_select_sentences,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
commonsense_knowledge_base_completion_and_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hashformers_towards_vocabularyindependent_pretrained_transformers,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.536,xue-aletras-2022-hashformers,"Huiyin Xue and Nikolaos Aletras. 2022. HashFormers: Towards Vocabulary-independent Pre-trained Transformers. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7862–7874, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
comparing_intrinsic_gender_bias_evaluation_measures_without_using_human_annotated_examples,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.209,kaneko-etal-2023-comparing,"Masahiro Kaneko, Danushka Bollegala, and Naoaki Okazaki. 2023. Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2857–2863, Dubrovnik, Croatia. Association for Computational Linguistics."
oolong_investigating_what_makes_transfer_learning_hard_with_controlled_studies,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pancetta_phoneme_aware_neural_completion_to_elicit_tongue_twisters_automatically,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.36,keh-etal-2023-pancetta,"Sedrick Scott Keh, Steven Y. Feng, Varun Gangal, Malihe Alikhani, and Eduard Hovy. 2023. PANCETTA: Phoneme Aware Neural Completion to Elicit Tongue Twisters Automatically. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 491–504, Dubrovnik, Croatia. Association for Computational Linguistics."
are_all_spurious_features_in_natural_language_alike_an_analysis_through_a_causal_lens,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.666,joshi-etal-2022-spurious,"Nitish Joshi, Xiang Pan, and He He. 2022. Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9804–9817, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
itake_interactive_unstructured_text_annotation_and_knowledge_extraction_system_with_llms_and_modelops,August,2024.0,ACL,https://aclanthology.org/2024.acl-demos.31,song-etal-2024-itake,"Jiahe Song, Hongxin Ding, Zhiyuan Wang, Yongxin Xu, Yasha Wang, and Junfeng Zhao. 2024. ITAKE: Interactive Unstructured Text Annotation and Knowledge Extraction System with LLMs and ModelOps. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 326–334, Bangkok, Thailand. Association for Computational Linguistics."
symbolic_planning_and_code_generation_for_grounded_dialogue,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
kcat_a_knowledgeconstraint_typing_annotation_tool,July,2019.0,ACL,https://aclanthology.org/P19-3017,lin-etal-2019-kcat,"Sheng Lin, Luye Zheng, Bo Chen, Siliang Tang, Zhigang Chen, Guoping Hu, Yueting Zhuang, Fei Wu, and Xiang Ren. 2019. KCAT: A Knowledge-Constraint Typing Annotation Tool. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 99–104, Florence, Italy. Association for Computational Linguistics."
birds_eye_probing_for_linguistic_graph_structures_with_a_simple_informationtheoretic_approach,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_interpretability_of_deep_learning_models_for_collaborative_argumentation_analysis_in_classrooms,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_fair_evaluation_of_dialogue_state_tracking_by_flexible_incorporation_of_turnlevel_performances,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.35,dey-etal-2022-towards,"Suvodip Dey, Ramamohan Kummara, and Maunendra Desarkar. 2022. Towards Fair Evaluation of Dialogue State Tracking by Flexible Incorporation of Turn-level Performances. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 318–324, Dublin, Ireland. Association for Computational Linguistics."
automatic_transliteration_of_romanized_dialectal_arabic,June,2014.0,CoNLL,https://aclanthology.org/W14-1604,al-badrashiny-etal-2014-automatic,"Mohamed Al-Badrashiny, Ramy Eskander, Nizar Habash, and Owen Rambow. 2014. Automatic Transliteration of Romanized Dialectal Arabic. In Proceedings of the Eighteenth Conference on Computational Natural Language Learning, pages 30–38, Ann Arbor, Michigan. Association for Computational Linguistics."
adventure_adversarial_training_for_textual_entailment_with_knowledgeguided_examples,July,2018.0,ACL,https://aclanthology.org/P18-1225,kang-etal-2018-adventure,"Dongyeop Kang, Tushar Khot, Ashish Sabharwal, and Eduard Hovy. 2018. AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2418–2428, Melbourne, Australia. Association for Computational Linguistics."
slog_a_structural_generalization_benchmark_for_semantic_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
correctabledst_mitigating_historical_context_mismatch_between_training_and_inference_for_improved_dialogue_state_tracking,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.56,xie-etal-2022-correctable,"Hongyan Xie, Haoxiang Su, Shuangyong Song, Hao Huang, Bo Zou, Kun Deng, Jianghua Lin, Zhihui Zhang, and Xiaodong He. 2022. Correctable-DST: Mitigating Historical Context Mismatch between Training and Inference for Improved Dialogue State Tracking. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 876–889, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
enhancing_dialogue_generation_via_dynamic_graph_knowledge_aggregation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
extending_a_parser_to_distant_domains_using_a_few_dozen_partially_annotated_examples,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_from_postediting_online_model_adaptation_for_statistical_machine_translation,April,2014.0,EACL,https://aclanthology.org/E14-1042,denkowski-etal-2014-learning,"Michael Denkowski, Chris Dyer, and Alon Lavie. 2014. Learning from Post-Editing: Online Model Adaptation for Statistical Machine Translation. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 395–404, Gothenburg, Sweden. Association for Computational Linguistics."
demographicaware_language_model_finetuning_as_a_bias_mitigation_technique,November,2022.0,,https://aclanthology.org/2022.aacl-short.38,garimella-etal-2022-demographic,"Aparna Garimella, Rada Mihalcea, and Akhash Amarnath. 2022. Demographic-Aware Language Model Fine-tuning as a Bias Mitigation Technique. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 311–319, Online only. Association for Computational Linguistics."
otseq2set_an_optimal_transport_enhanced_sequencetoset_model_for_extreme_multilabel_text_classification,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.377,cao-zhang-2022-otseq2set,"Jie Cao and Yin Zhang. 2022. OTSeq2Set: An Optimal Transport Enhanced Sequence-to-Set Model for Extreme Multi-label Text Classification. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5588–5597, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
comparing_automatic_and_human_evaluation_of_nlg_systems,April,2006.0,EACL,https://aclanthology.org/E06-1040,belz-reiter-2006-comparing,"Anja Belz and Ehud Reiter. 2006. Comparing Automatic and Human Evaluation of NLG Systems. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 313–320, Trento, Italy. Association for Computational Linguistics."
compositional_generalisation_with_structured_reordering_and_fertility_layers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
using_word_embedding_for_crosslanguage_plagiarism_detection,April,2017.0,EACL,https://aclanthology.org/E17-2066,ferrero-etal-2017-using,"Jérémy Ferrero, Laurent Besacier, Didier Schwab, and Frédéric Agnès. 2017. Using Word Embedding for Cross-Language Plagiarism Detection. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 415–421, Valencia, Spain. Association for Computational Linguistics."
forum_40_an_opensource_user_comment_analysis_framework,April,2021.0,EACL,https://aclanthology.org/2021.eacl-demos.8,haering-etal-2021-forum,"Marlo Haering, Jakob Smedegaard Andersen, Chris Biemann, Wiebke Loosen, Benjamin Milde, Tim Pietz, Christian Stöcker, Gregor Wiedemann, Olaf Zukunft, and Walid Maalej. 2021. Forum 4.0: An Open-Source User Comment Analysis Framework. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 63–70, Online. Association for Computational Linguistics."
curriculum_learning_for_natural_language_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
summhelper_collaborative_humancomputer_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
text_summarization_model_based_on_maximum_coverage_problem_and_its_variant,March,2009.0,EACL,https://aclanthology.org/E09-1089,takamura-okumura-2009-text,"Hiroya Takamura and Manabu Okumura. 2009. Text Summarization Model Based on Maximum Coverage Problem and its Variant. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 781–789, Athens, Greece. Association for Computational Linguistics."
autoencoding_pixies_amortised_variational_inference_with_graph_convolutions_for_functional_distributional_semantics,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
accurate_shrgbased_semantic_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_limits_of_automatic_summarisation_according_to_rouge,April,2017.0,EACL,https://aclanthology.org/E17-2007,schluter-2017-limits,"Natalie Schluter. 2017. The limits of automatic summarisation according to ROUGE. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 41–45, Valencia, Spain. Association for Computational Linguistics."
fewshot_documentlevel_event_argument_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
from_key_points_to_key_point_hierarchy_structured_and_expressive_opinion_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
wsdms_debunk_fake_news_via_weakly_supervised_detection_of_misinforming_sentences_with_contextualized_social_wisdom,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
easyinstruct_an_easytouse_instruction_processing_framework_for_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
relation_embedding_with_dihedral_group_in_knowledge_graph,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
birre_learning_bidirectional_residual_relation_embeddings_for_supervised_hypernymy_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nail_lexical_retrieval_indices_with_efficient_nonautoregressive_decoders,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_evaluation_of_documentlevel_machine_translation_quality_estimation,July,2015.0,,https://aclanthology.org/P15-1174,graham-2015-improving,"Yvette Graham. 2015. Improving Evaluation of Machine Translation Quality Estimation. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 1804–1813, Beijing, China. Association for Computational Linguistics."
controlled_text_reduction,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.385,slobodkin-etal-2022-controlled,"Aviv Slobodkin, Paul Roit, Eran Hirsch, Ori Ernst, and Ido Dagan. 2022. Controlled Text Reduction. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5699–5715, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
bias_neutralization_in_nonparallel_texts_a_cyclic_approach_with_auxiliary_guidance,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.882,madanagopal-caverlee-2023-bias,"Karthic Madanagopal and James Caverlee. 2023. Bias Neutralization in Non-Parallel Texts: A Cyclic Approach with Auxiliary Guidance. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 14265–14278, Singapore. Association for Computational Linguistics."
detecting_spoilers_in_movie_reviews_with_external_movie_knowledge_and_user_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
stacked_acousticandtextual_encoding_integrating_the_pretrained_models_into_speech_translation_encoders,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
revisiting_instruction_finetuned_model_evaluation_to_guide_industrial_applications,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
yet_another_language_identifier,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
comparative_evaluation_of_boundaryrelaxed_annotation_for_entity_linking_performance,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mooccube_a_largescale_data_repository_for_nlp_applications_in_moocs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generating_relevant_and_coherent_dialogue_responses_using_selfseparated_conditional_variational_autoencoders,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dictionaryassisted_supervised_contrastive_learning,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.696,wu-etal-2022-dictionary,"Patrick Y. Wu, Richard Bonneau, Joshua A. Tucker, and Jonathan Nagler. 2022. Dictionary-Assisted Supervised Contrastive Learning. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10217–10235, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
unsupervised_relation_extraction_of_indomain_data_from_focused_crawls,April,2014.0,EACL,https://aclanthology.org/E14-3002,remus-2014-unsupervised,"Steffen Remus. 2014. Unsupervised Relation Extraction of In-Domain Data from Focused Crawls. In Proceedings of the Student Research Workshop at the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 11–20, Gothenburg, Sweden. Association for Computational Linguistics."
multiteacher_distillation_for_multilingual_spelling_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_rank_generation_with_pairwise_partial_rewards,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_visual_question_answering_by_referring_to_generated_paragraph_captions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exposing_the_limits_of_zeroshot_crosslingual_hate_speech_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
probabilistic_structureaware_algorithms_for_improved_variety_accuracy_and_coverage_of_amr_alignments,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
intoevents_an_interactive_toolkit_for_discovering_and_building_event_schemas,April,2017.0,EACL,https://aclanthology.org/E17-3026,ferrero-etal-2017-intoevents,"Germán Ferrero, Audi Primadhanty, and Ariadna Quattoni. 2017. InToEventS: An Interactive Toolkit for Discovering and Building Event Schemas. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 104–107, Valencia, Spain. Association for Computational Linguistics."
one_million_sensetagged_instances_for_word_sense_disambiguation_and_induction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
empathbert_a_bertbased_framework_for_demographicaware_empathy_prediction,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.268,guda-etal-2021-empathbert,"Bhanu Prakash Reddy Guda, Aparna Garimella, and Niyati Chhaya. 2021. EmpathBERT: A BERT-based Framework for Demographic-aware Empathy Prediction. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3072–3079, Online. Association for Computational Linguistics."
sharing_encoder_representations_across_languages_domains_and_tasks_in_largescale_spoken_language_understanding,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.43,hueser-etal-2023-sharing,"Jonathan Hueser, Judith Gaspers, Thomas Gueudre, Chandana Prakash, Jin Cao, Daniil Sorokin, Quynh Do, Nicolas Anastassacos, Tobias Falke, and Turan Gojayev. 2023. Sharing Encoder Representations across Languages, Domains and Tasks in Large-Scale Spoken Language Understanding. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 447–456, Toronto, Canada. Association for Computational Linguistics."
generatethenretrieve_intentaware_faq_retrieval_in_product_search,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.73,chen-etal-2023-generate,"Zhiyu Chen, Jason Choi, Besnik Fetahu, Oleg Rokhlenko, and Shervin Malmasi. 2023. Generate-then-Retrieve: Intent-Aware FAQ Retrieval in Product Search. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 763–771, Toronto, Canada. Association for Computational Linguistics."
generating_syntactically_controlled_paraphrases_without_using_annotated_parallel_pairs,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.88,huang-chang-2021-generating,"Kuan-Hao Huang and Kai-Wei Chang. 2021. Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1022–1033, Online. Association for Computational Linguistics."
a_transformerbased_approach_for_source_code_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
differentiable_data_augmentation_for_contrastive_sentence_representation_learning,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.520,wang-lu-2022-differentiable,"Tianduo Wang and Wei Lu. 2022. Differentiable Data Augmentation for Contrastive Sentence Representation Learning. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7640–7653, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
crosslingual_semantic_role_labeling_with_highquality_translated_training_corpus,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatic_prompt_optimization_with_gradient_descent_and_beam_search,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lm_vs_lm_detecting_factual_errors_via_cross_examination,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.778,cohen-etal-2023-lm,"Roi Cohen, May Hamri, Mor Geva, and Amir Globerson. 2023. LM vs LM: Detecting Factual Errors via Cross Examination. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12621–12640, Singapore. Association for Computational Linguistics."
rankingbased_automatic_seed_selection_and_noise_reduction_for_weakly_supervised_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
attention_temperature_matters_in_abstractive_summarization_distillation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rulebased_lexical_modelling_of_foreignaccented_pronunciation_variants,April,2003.0,EACL,https://aclanthology.org/E03-1045,schaden-2003-rule,"Stefan Schaden. 2003. Rule-based lexical modelling of foreign-accented pronunciation variants. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
cotraining_and_selftraining_for_word_sense_disambiguation,May 6 - May 7,2004.0,CoNLL,https://aclanthology.org/W04-2405,mihalcea-2004-co,"Rada Mihalcea. 2004. Co-training and Self-training for Word Sense Disambiguation. In Proceedings of the Eighth Conference on Computational Natural Language Learning (CoNLL-2004) at HLT-NAACL 2004, pages 33–40, Boston, Massachusetts, USA. Association for Computational Linguistics."
towards_pragmatic_production_strategies_for_natural_language_generation_tasks,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.544,giulianelli-2022-towards,"Mario Giulianelli. 2022. Towards Pragmatic Production Strategies for Natural Language Generation Tasks. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7978–7984, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
text_augmentation_in_a_multitask_view,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fastbert_a_selfdistilling_bert_with_adaptive_inference_time,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_query_spelling_correction_using_web_search_results,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
covoswitch_machine_translation_of_synthetic_codeswitched_text_based_on_intonation_units,August,2024.0,ACL,https://aclanthology.org/2024.acl-srw.40,kang-2024-covoswitch,"Yeeun Kang. 2024. CoVoSwitch: Machine Translation of Synthetic Code-Switched Text Based on Intonation Units. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), pages 345–357, Bangkok, Thailand. Association for Computational Linguistics."
formnetv2_multimodal_graph_contrastive_learning_for_form_document_information_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bootstrapping_events_and_relations_from_text,April,2012.0,EACL,https://aclanthology.org/E12-1030,liu-strzalkowski-2012-bootstrapping,"Ting Liu and Tomek Strzalkowski. 2012. Bootstrapping Events and Relations from Text. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 296–305, Avignon, France. Association for Computational Linguistics."
cupid_curriculum_learning_based_realtime_prediction_using_distillation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
amalgamation_of_protein_sequence_structure_and_textual_information_for_improving_proteinprotein_interaction_identification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
anchoring_finetuning_of_sentence_transformer_with_semantic_label_information_for_efficient_truly_fewshot_classification,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.692,pauli-etal-2023-anchoring,"Amalie Pauli, Leon Derczynski, and Ira Assent. 2023. Anchoring Fine-tuning of Sentence Transformer with Semantic Label Information for Efficient Truly Few-shot Classification. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11254–11264, Singapore. Association for Computational Linguistics."
hauser_towards_holistic_and_automatic_evaluation_of_simile_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
incorporating_glosses_into_neural_word_sense_disambiguation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
peerlabel_assisted_hierarchical_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mimic_an_adaptive_mixed_initiative_spoken_dialogue_system_for_information_queries,April,2000.0,,https://aclanthology.org/A00-1014,chu-carroll-2000-mimic,"Jennifer Chu-Carroll. 2000. MIMIC: An Adaptive Mixed Initiative Spoken Dialogue System for Information Queries. In Sixth Applied Natural Language Processing Conference, pages 97–104, Seattle, Washington, USA. Association for Computational Linguistics."
unifying_data_perspectivism_and_personalization_an_application_to_social_norms,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_analogypreserving_sentence_embeddings_for_answer_selection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
with_a_little_push_nli_models_can_robustly_and_efficiently_predict_faithfulness,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_variational_hierarchical_model_for_neural_crosslingual_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
up5_unbiased_foundation_model_for_fairnessaware_recommendation,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.114,hua-etal-2024-up5,"Wenyue Hua, Yingqiang Ge, Shuyuan Xu, Jianchao Ji, Zelong Li, and Yongfeng Zhang. 2024. UP5: Unbiased Foundation Model for Fairness-aware Recommendation. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1899–1912, St. Julian’s, Malta. Association for Computational Linguistics."
the_grammarlearning_trajectories_of_neural_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
combo_a_complete_benchmark_for_open_kg_canonicalization,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.26,jiang-etal-2023-combo,"Chengyue Jiang, Yong Jiang, Weiqi Wu, Yuting Zheng, Pengjun Xie, and Kewei Tu. 2023. COMBO: A Complete Benchmark for Open KG Canonicalization. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 340–357, Dubrovnik, Croatia. Association for Computational Linguistics."
climbing_towards_nlu_on_meaning_form_and_understanding_in_the_age_of_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hutcrs_hierarchical_userinterest_tracking_for_conversational_recommender_system,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.635,qian-etal-2023-hutcrs,"Mingjie Qian, Yongsen Zheng, Jinghui Qin, and Liang Lin. 2023. HutCRS: Hierarchical User-Interest Tracking for Conversational Recommender System. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 10281–10290, Singapore. Association for Computational Linguistics."
sudowoodo_a_chinese_lyric_imitation_system_with_source_lyrics,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-demo.8,chang-etal-2023-sudowoodo,"Yongzhu Chang, Rongsheng Zhang, Lin Jiang, Qihang Chen, Le Zhang, and Jiashu Pu. 2023. Sudowoodo: A Chinese Lyric Imitation System with Source Lyrics. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 99–105, Singapore. Association for Computational Linguistics."
textbi_an_interactive_dashboard_for_visualizing_multidimensional_nlp_annotations_in_social_media_data,March,2024.0,EACL,https://aclanthology.org/2024.eacl-demo.1,masson-etal-2024-textbi,"Maxime Masson, Christian Sallaberry, Marie-Noelle Bessagnet, Annig Le Parc Lacayrelle, Philippe Roose, and Rodrigo Agerri. 2024. TextBI: An Interactive Dashboard for Visualizing Multidimensional NLP Annotations in Social Media Data. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 1–9, St. Julians, Malta. Association for Computational Linguistics."
c3po_a_lightweight_copying_mechanism_for_translating_pseudocode_to_code,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
arat5_texttotext_transformers_for_arabic_language_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
knowledge_prompting_in_pretrained_language_model_for_natural_language_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
late_fusion_with_triplet_margin_objective_for_multimodal_ideology_prediction_and_analysis,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.659,qiu-etal-2022-late,"Changyuan Qiu, Winston Wu, Xinliang Frederick Zhang, and Lu Wang. 2022. Late Fusion with Triplet Margin Objective for Multimodal Ideology Prediction and Analysis. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9720–9736, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
what_motivates_you_benchmarking_automatic_detection_of_basic_needs_from_short_posts,August,2021.0,,https://aclanthology.org/2021.acl-short.101,stajner-etal-2021-motivates,"Sanja Stajner, Seren Yenikent, Bilal Ghanem, and Marc Franco-Salvador. 2021. What Motivates You? Benchmarking Automatic Detection of Basic Needs from Short Posts. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 803–810, Online. Association for Computational Linguistics."
depth_growing_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
linguistic_regularities_in_sparse_and_explicit_word_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
erase_and_rewind_manual_correction_of_nlp_output_through_a_web_interface,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
recognising_agreement_and_disagreement_between_stances_with_reason_comparing_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_probabilistic_approach_to_persian_ezafe_recognition,April,2014.0,EACL,https://aclanthology.org/E14-4027,asghari-etal-2014-probabilistic,"Habibollah Asghari, Jalal Maleki, and Heshaam Faili. 2014. A Probabilistic Approach to Persian Ezafe Recognition. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 138–142, Gothenburg, Sweden. Association for Computational Linguistics."
modeling_syntactic_context_improves_morphological_segmentation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
plog_tabletologic_pretraining_for_logical_tabletotext_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
addressing_the_data_sparsity_issue_in_neural_amr_parsing,April,2017.0,EACL,https://aclanthology.org/E17-1035,peng-etal-2017-addressing,"Xiaochang Peng, Chuan Wang, Daniel Gildea, and Nianwen Xue. 2017. Addressing the Data Sparsity Issue in Neural AMR Parsing. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 366–375, Valencia, Spain. Association for Computational Linguistics."
socratic_question_generation_a_novel_dataset_models_and_evaluation,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.12,ang-etal-2023-socratic,"Beng Heng Ang, Sujatha Das Gollapalli, and See-Kiong Ng. 2023. Socratic Question Generation: A Novel Dataset, Models, and Evaluation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 147–165, Dubrovnik, Croatia. Association for Computational Linguistics."
cholan_a_modular_approach_for_neural_entity_linking_on_wikipedia_and_wikidata,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.40,kannan-ravi-etal-2021-cholan,"Manoj Prabhakar Kannan Ravi, Kuldeep Singh, Isaiah Onando Mulang’, Saeedeh Shekarpour, Johannes Hoffart, and Jens Lehmann. 2021. CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 504–514, Online. Association for Computational Linguistics."
cyle_cylinder_embeddings_for_multihop_reasoning_over_knowledge_graphs,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.127,nguyen-etal-2023-cyle,"Chau Duc Minh Nguyen, Tim French, Wei Liu, and Michael Stewart. 2023. CylE: Cylinder Embeddings for Multi-hop Reasoning over Knowledge Graphs. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1736–1751, Dubrovnik, Croatia. Association for Computational Linguistics."
msp_multistage_prompting_for_making_pretrained_language_models_better_translators,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
affective_knowledge_enhanced_multiplegraph_fusion_networks_for_aspectbased_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
well_begun_is_half_done_generatoragnostic_knowledge_preselection_for_knowledgegrounded_dialogue,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_interplay_of_semantics_and_morphology_in_word_embeddings,April,2017.0,EACL,https://aclanthology.org/E17-2067,avraham-goldberg-2017-interplay,"Oded Avraham and Yoav Goldberg. 2017. The Interplay of Semantics and Morphology in Word Embeddings. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 422–426, Valencia, Spain. Association for Computational Linguistics."
hard_sample_aware_prompttuning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reinforcement_learning_for_abstractive_question_summarization_with_questionaware_semantic_rewards,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
diffusiondb_a_largescale_prompt_gallery_dataset_for_texttoimage_generative_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fashionklip_enhancing_ecommerce_imagetext_retrieval_with_fashion_multimodal_conceptual_knowledge_graph,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
superdialseg_a_largescale_dataset_for_supervised_dialogue_segmentation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_sparse_topical_coding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_summarization_with_human_edits,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_joint_framework_for_coreference_resolution_and_mention_head_detection,July,2015.0,CoNLL,https://aclanthology.org/K15-1002,peng-etal-2015-joint,"Haoruo Peng, Kai-Wei Chang, and Dan Roth. 2015. A Joint Framework for Coreference Resolution and Mention Head Detection. In Proceedings of the Nineteenth Conference on Computational Natural Language Learning, pages 12–21, Beijing, China. Association for Computational Linguistics."
tabert_pretraining_for_joint_understanding_of_textual_and_tabular_data,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.745,yin-etal-2020-tabert,"Pengcheng Yin, Graham Neubig, Wen-tau Yih, and Sebastian Riedel. 2020. TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8413–8426, Online. Association for Computational Linguistics."
a_finegrained_taxonomy_of_replies_to_hate_speech,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
conceptbased_label_embedding_via_dynamic_routing_for_hierarchical_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
whodunit_learning_to_contrast_for_authorship_attribution,November,2022.0,,https://aclanthology.org/2022.aacl-main.84,ai-etal-2022-whodunit,"Bo Ai, Yuchen Wang, Yugin Tan, and Samson Tan. 2022. Whodunit? Learning to Contrast for Authorship Attribution. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 1142–1157, Online only. Association for Computational Linguistics."
learning_compositionality_functions_on_word_embeddings_for_modelling_attribute_meaning_in_adjectivenoun_phrases,April,2017.0,EACL,https://aclanthology.org/E17-1006,hartung-etal-2017-learning,"Matthias Hartung, Fabian Kaupmann, Soufian Jebbara, and Philipp Cimiano. 2017. Learning Compositionality Functions on Word Embeddings for Modelling Attribute Meaning in Adjective-Noun Phrases. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 54–64, Valencia, Spain. Association for Computational Linguistics."
video_question_answering_datasets_algorithms_and_challenges,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.432,zhong-etal-2022-video,"Yaoyao Zhong, Wei Ji, Junbin Xiao, Yicong Li, Weihong Deng, and Tat-Seng Chua. 2022. Video Question Answering: Datasets, Algorithms and Challenges. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6439–6455, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
entity_disambiguation_by_knowledge_and_text_jointly_embedding,August,2016.0,CoNLL,https://aclanthology.org/K16-1026,fang-etal-2016-entity,"Wei Fang, Jianwen Zhang, Dilin Wang, Zheng Chen, and Ming Li. 2016. Entity Disambiguation by Knowledge and Text Jointly Embedding. In Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, pages 260–269, Berlin, Germany. Association for Computational Linguistics."
distill_or_annotate_costefficient_finetuning_of_compact_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bisync_a_bilingual_editor_for_synchronized_monolingual_texts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatic_generation_of_short_informative_sentiment_summaries,April,2012.0,EACL,https://aclanthology.org/E12-1028,glaser-schutze-2012-automatic,"Andrea Glaser and Hinrich Schütze. 2012. Automatic generation of short informative sentiment summaries. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 276–285, Avignon, France. Association for Computational Linguistics."
easyenglish_a_tool_for_improving_document_quality,March,1997.0,ANLP,https://aclanthology.org/A97-1024,bernth-1997-easyenglish,"Arendse Bernth. 1997. EasyEnglish: A Tool for Improving Document Quality. In Fifth Conference on Applied Natural Language Processing, pages 159–165, Washington, DC, USA. Association for Computational Linguistics."
extreme_adaptation_for_personalized_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
carets_a_consistency_and_robustness_evaluative_test_suite_for_vqa,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
understanding_computational_models_of_semantic_change_new_insights_from_the_speech_community,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
metapro_online_a_computational_metaphor_processing_online_system,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
marginbased_parallel_corpus_mining_with_multilingual_sentence_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
human_raters_cannot_distinguish_english_translations_from_original_english_texts,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.754,wein-2023-human,"Shira Wein. 2023. Human Raters Cannot Distinguish English Translations from Original English Texts. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12266–12272, Singapore. Association for Computational Linguistics."
fast_and_accurate_factual_inconsistency_detection_over_long_documents,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
jointly_improving_language_understanding_and_generation_with_qualityweighted_weak_supervision_of_automatic_labeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
symbolic_chainofthought_distillation_small_models_can_also_think_stepbystep,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dialogue_coherence_assessment_without_explicit_dialogue_act_labels,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
llmenhanced_selftraining_for_crossdomain_constituency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reliable_and_interpretable_drift_detection_in_streams_of_short_texts,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.42,rabinovich-etal-2023-reliable,"Ella Rabinovich, Matan Vetzler, Samuel Ackerman, and Ateret Anaby Tavor. 2023. Reliable and Interpretable Drift Detection in Streams of Short Texts. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 438–446, Toronto, Canada. Association for Computational Linguistics."
know_how_to_make_up_your_mind_adversarially_detecting_and_alleviating_inconsistencies_in_natural_language_explanations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
badge_speeding_up_bert_inference_after_deployment_via_blockwise_bypasses_and_divergencebased_early_exiting,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.48,zhu-etal-2023-badge,"Wei Zhu, Peng Wang, Yuan Ni, Guotong Xie, and Xiaoling Wang. 2023. BADGE: Speeding Up BERT Inference after Deployment via Block-wise Bypasses and Divergence-based Early Exiting. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 500–509, Toronto, Canada. Association for Computational Linguistics."
keep_it_simple_unsupervised_simplification_of_multiparagraph_text,August,2021.0,,https://aclanthology.org/2021.acl-long.498,laban-etal-2021-keep,"Philippe Laban, Tobias Schnabel, Paul Bennett, and Marti A. Hearst. 2021. Keep It Simple: Unsupervised Simplification of Multi-Paragraph Text. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 6365–6378, Online. Association for Computational Linguistics."
intellicat_intelligent_machine_translation_postediting_with_quality_estimation_and_translation_suggestion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
indepth_look_at_word_filling_societal_bias_measures,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
biomedical_entity_representations_with_synonym_marginalization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
augmenting_neural_response_generation_with_contextaware_topical_attention,August,2019.0,ACL,https://aclanthology.org/W19-4103,dziri-etal-2019-augmenting,"Nouha Dziri, Ehsan Kamalloo, Kory Mathewson, and Osmar Zaiane. 2019. Augmenting Neural Response Generation with Context-Aware Topical Attention. In Proceedings of the First Workshop on NLP for Conversational AI, pages 18–31, Florence, Italy. Association for Computational Linguistics."
geospacy_a_tool_for_extraction_and_geographical_referencing_of_spatial_expressions_in_textual_data,March,2024.0,EACL,https://aclanthology.org/2024.eacl-demo.13,mehtab-alam-etal-2024-geospacy,"Syed Mehtab Alam, Elena Arsevska, Mathieu Roche, and Maguelonne Teisseire. 2024. GeospaCy: A tool for extraction and geographical referencing of spatial expressions in textual data. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 115–126, St. Julians, Malta. Association for Computational Linguistics."
exploring_lottery_prompts_for_pretrained_language_models,July,2023.0,ACL,https://aclanthology.org/2023.acl-long.860,chen-etal-2023-exploring,"Yulin Chen, Ning Ding, Xiaobin Wang, Shengding Hu, Haitao Zheng, Zhiyuan Liu, and Pengjun Xie. 2023. Exploring Lottery Prompts for Pre-trained Language Models. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 15428–15444, Toronto, Canada. Association for Computational Linguistics."
large_scale_substitutionbased_word_sense_induction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hypernyms_under_siege_linguisticallymotivated_artillery_for_hypernymy_detection,April,2017.0,EACL,https://aclanthology.org/E17-1007,shwartz-etal-2017-hypernyms,"Vered Shwartz, Enrico Santus, and Dominik Schlechtweg. 2017. Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 65–75, Valencia, Spain. Association for Computational Linguistics."
building_a_dialogue_corpus_annotated_with_expressed_and_experienced_emotions,May,2022.0,ACL,https://aclanthology.org/2022.acl-srw.3,ide-kawahara-2022-building,"Tatsuya Ide and Daisuke Kawahara. 2022. Building a Dialogue Corpus Annotated with Expressed and Experienced Emotions. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 21–30, Dublin, Ireland. Association for Computational Linguistics."
this_email_could_save_your_life_introducing_the_task_of_email_subject_line_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
interactive_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
conversational_tree_search_a_new_hybrid_dialog_task,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.91,vath-etal-2023-conversational,"Dirk Väth, Lindsey Vanderlyn, and Ngoc Thang Vu. 2023. Conversational Tree Search: A New Hybrid Dialog Task. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1264–1280, Dubrovnik, Croatia. Association for Computational Linguistics."
its_morphin_time_combating_linguistic_discrimination_with_inflectional_perturbations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
finegrained_contrastive_learning_for_definition_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
robotsdontcry_understanding_falsely_anthropomorphic_utterances_in_dialog_systems,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.215,gros-etal-2022-robots,"David Gros, Yu Li, and Zhou Yu. 2022. Robots-Dont-Cry: Understanding Falsely Anthropomorphic Utterances in Dialog Systems. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3266–3284, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
angel_enterprise_search_system_for_the_nonprofit_industry,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
relabel_the_noise_joint_extraction_of_entities_and_relations_via_cooperative_multiagents,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
beyond_factuality_a_comprehensive_evaluation_of_large_language_models_as_knowledge_generators,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
matching_readers_preferences_and_reading_skills_with_appropriate_web_texts,April,2009.0,EACL,https://aclanthology.org/E09-2013,miltsakaki-2009-matching,"Eleni Miltsakaki. 2009. Matching Readers’ Preferences and Reading Skills with Appropriate Web Texts. In Proceedings of the Demonstrations Session at EACL 2009, pages 49–52, Athens, Greece. Association for Computational Linguistics."
metatkg_learning_evolutionary_metaknowledge_for_temporal_knowledge_graph_reasoning,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.487,xia-etal-2022-metatkg,"Yuwei Xia, Mengqi Zhang, Qiang Liu, Shu Wu, and Xiao-Yu Zhang. 2022. MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7230–7240, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
crosslingual_word_embeddings_for_lowresource_language_modeling,April,2017.0,EACL,https://aclanthology.org/E17-1088,adams-etal-2017-cross,"Oliver Adams, Adam Makarucha, Graham Neubig, Steven Bird, and Trevor Cohn. 2017. Cross-Lingual Word Embeddings for Low-Resource Language Modeling. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 937–947, Valencia, Spain. Association for Computational Linguistics."
adnlp_a_benchmark_for_anomaly_detection_in_natural_language_processing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semantics_of_the_unwritten_the_effect_of_end_of_paragraph_and_sequence_tokens_on_text_generation_with_gpt2,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improved_grammatical_error_correction_by_ranking_elementary_edits,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
beautifulprompt_towards_automatic_prompt_engineering_for_texttoimage_synthesis,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.1,cao-etal-2023-beautifulprompt,"Tingfeng Cao, Chengyu Wang, Bingyan Liu, Ziheng Wu, Jinhui Zhu, and Jun Huang. 2023. BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 1–11, Singapore. Association for Computational Linguistics."
mixture_of_attention_heads_selecting_attention_heads_per_token,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.278,zhang-etal-2022-mixture,"Xiaofeng Zhang, Yikang Shen, Zeyu Huang, Jie Zhou, Wenge Rong, and Zhang Xiong. 2022. Mixture of Attention Heads: Selecting Attention Heads Per Token. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4150–4162, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
defense_against_synonym_substitutionbased_adversarial_attacks_via_dirichlet_neighborhood_ensemble,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
revisiting_blockbased_quantisation_what_is_important_for_sub8bit_llm_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dependency_parsing_as_a_classication_problem,June,2006.0,CoNLL,https://aclanthology.org/W06-2938,yuret-2006-dependency,"Deniz Yuret. 2006. Dependency Parsing as a Classication Problem. In Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X), pages 246–250, New York City. Association for Computational Linguistics."
claim_matching_beyond_english_to_scale_global_factchecking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
continuous_language_generative_flow,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crocoalign_a_crosslingual_contextaware_and_fullyneural_sentence_alignment_system_for_long_texts,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.135,molfese-etal-2024-neuralign,"Francesco Molfese, Andrei Bejgu, Simone Tedeschi, Simone Conia, and Roberto Navigli. 2024. CroCoAlign: A Cross-Lingual, Context-Aware and Fully-Neural Sentence Alignment System for Long Texts. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2209–2220, St. Julian’s, Malta. Association for Computational Linguistics."
identifying_repair_targets_in_action_control_dialogue,April,2006.0,EACL,https://aclanthology.org/E06-1023,funakoshi-tokunaga-2006-identifying,"Kotaro Funakoshi and Takenobu Tokunaga. 2006. Identifying Repair Targets in Action Control Dialogue. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 177–184, Trento, Italy. Association for Computational Linguistics."
misc_a_mixed_strategyaware_model_integrating_comet_for_emotional_support_conversation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
narratives_at_conflict_computational_analysis_of_news_framing_in_multilingual_disinformation_campaigns,August,2024.0,ACL,https://aclanthology.org/2024.acl-srw.21,sinelnik-hovy-2024-narratives,"Antonina Sinelnik and Dirk Hovy. 2024. Narratives at Conflict: Computational Analysis of News Framing in Multilingual Disinformation Campaigns. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), pages 131–143, Bangkok, Thailand. Association for Computational Linguistics."
factbased_text_editing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
megacov_a_billionscale_dataset_of_100_languages_for_covid19,July,2023.0,Findings,https://aclanthology.org/2023.findings-acl.518,mcnamee-duh-2023-extensive,"Paul McNamee and Kevin Duh. 2023. An Extensive Exploration of Back-Translation in 60 Languages. In Findings of the Association for Computational Linguistics: ACL 2023, pages 8166–8183, Toronto, Canada. Association for Computational Linguistics."
neural_crf_model_for_sentence_alignment_in_text_simplification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
morphology_induction_from_term_clusters,June,2005.0,CoNLL,https://aclanthology.org/W05-0617,freitag-2005-morphology,"Dayne Freitag. 2005. Morphology Induction from Term Clusters. In Proceedings of the Ninth Conference on Computational Natural Language Learning (CoNLL-2005), pages 128–135, Ann Arbor, Michigan. Association for Computational Linguistics."
machine_translation_for_livonian_catering_to_20_speakers,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.55,rikters-etal-2022-machine,"Matīss Rikters, Marili Tomingas, Tuuli Tuisk, Valts Ernštreits, and Mark Fishel. 2022. Machine Translation for Livonian: Catering to 20 Speakers. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 508–514, Dublin, Ireland. Association for Computational Linguistics."
improving_the_generalizability_of_collaborative_dialogue_analysis_with_multifeature_embeddings,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.258,enayet-sukthankar-2023-improving,"Ayesha Enayet and Gita Sukthankar. 2023. Improving the Generalizability of Collaborative Dialogue Analysis With Multi-Feature Embeddings. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3551–3565, Dubrovnik, Croatia. Association for Computational Linguistics."
universal_dependencies_and_morphology_for_hungarian__and_on_the_price_of_universality,April,2017.0,EACL,https://aclanthology.org/E17-1034,vincze-etal-2017-universal,"Veronika Vincze, Katalin Simkó, Zsolt Szántó, and Richárd Farkas. 2017. Universal Dependencies and Morphology for Hungarian - and on the Price of Universality. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 356–365, Valencia, Spain. Association for Computational Linguistics."
semantic_parsing_for_highprecision_semantic_role_labelling,August,2008.0,CoNLL,https://aclanthology.org/W08-2101,merlo-musillo-2008-semantic,"Paola Merlo and Gabriele Musillo. 2008. Semantic Parsing for High-Precision Semantic Role Labelling. In CoNLL 2008: Proceedings of the Twelfth Conference on Computational Natural Language Learning, pages 1–8, Manchester, England. Coling 2008 Organizing Committee."
computing_term_translation_probabilities_with_generalized_latent_semantic_analysis,,2006.0,EACL,https://aclanthology.org/E06-2017,matveeva-levow-2006-computing,"Irina Matveeva and Gina-Anne Levow. 2006. Computing Term Translation Probabilities with Generalized Latent Semantic Analysis. In Demonstrations, pages 151–154."
stinmatch_semisupervised_semantictopological_iteration_network_for_financial_risk_detection_via_news_label_diffusion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_disentangled_text_representation_learning_with_informationtheoretic_guidance,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_multilingual_language_model_with_massive_multilingual_knowledge_triples,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.462,liu-etal-2022-enhancing-multilingual,"Linlin Liu, Xin Li, Ruidan He, Lidong Bing, Shafiq Joty, and Luo Si. 2022. Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6878–6890, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
from_wrong_to_right_a_recursive_approach_towards_visionlanguage_explanation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
measuring_the_impact_of_psycholinguistic_and_readability_features_and_their_spill_over_effects_on_the_prediction_of_eye_movement_patterns,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
building_webinterfaces_for_vector_semantic_models_with_the_webvectors_toolkit,April,2017.0,EACL,https://aclanthology.org/E17-3025,kutuzov-kuzmenko-2017-building,"Andrey Kutuzov and Elizaveta Kuzmenko. 2017. Building Web-Interfaces for Vector Semantic Models with the WebVectors Toolkit. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 99–103, Valencia, Spain. Association for Computational Linguistics."
knowledgeable_parameter_efficient_tuning_network_for_commonsense_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
happy_dance_slow_clap_using_reaction_gifs_to_predict_induced_affect_on_twitter,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
resolving_and_generating_definite_anaphora_by_modeling_hypernymy_using_unlabeled_corpora,June,2006.0,CoNLL,https://aclanthology.org/W06-2906,garera-yarowsky-2006-resolving,"Nikesh Garera and David Yarowsky. 2006. Resolving and Generating Definite Anaphora by Modeling Hypernymy using Unlabeled Corpora. In Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X), pages 37–44, New York City. Association for Computational Linguistics."
camra_copilot_for_amr_annotation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-demo.35,cai-etal-2023-camra,"Jon Cai, Shafiuddin Rehan Ahmed, Julia Bonn, Kristin Wright-Bettner, Martha Palmer, and James H. Martin. 2023. CAMRA: Copilot for AMR Annotation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 381–388, Singapore. Association for Computational Linguistics."
think_before_you_speak_explicitly_generating_implicit_commonsense_knowledge_for_response_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neurostructural_decoding_neural_text_generation_with_structural_constraints,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_improving_summarization_factual_consistency_from_natural_language_feedback,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
is_chatgpt_good_at_search_investigating_large_language_models_as_reranking_agents,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.923,sun-etal-2023-chatgpt,"Weiwei Sun, Lingyong Yan, Xinyu Ma, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, and Zhaochun Ren. 2023. Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 14918–14937, Singapore. Association for Computational Linguistics."
towards_hierarchical_spoken_language_disfluency_modeling,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.32,lian-anumanchipalli-2024-towards,"Jiachen Lian and Gopala Anumanchipalli. 2024. Towards Hierarchical Spoken Language Disfluency Modeling. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 539–551, St. Julian’s, Malta. Association for Computational Linguistics."
controlled_crowdsourcing_for_highquality_qasrl_annotation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
free_lunch_for_efficient_textual_commonsense_integration_in_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_robust_contextsensitive_sentence_alignment_for_monolingual_corpora,April,2006.0,EACL,https://aclanthology.org/E06-1021,nelken-shieber-2006-towards,"Rani Nelken and Stuart M. Shieber. 2006. Towards Robust Context-Sensitive Sentence Alignment for Monolingual Corpora. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 1611–168, Trento, Italy. Association for Computational Linguistics."
endtoend_evaluation_in_simultaneous_translation,March,2009.0,EACL,https://aclanthology.org/E09-1040,hamon-etal-2009-end,"Olivier Hamon, Christian Fügen, Djamel Mostefa, Victoria Arranz, Muntsin Kolss, Alex Waibel, and Khalid Choukri. 2009. End-to-End Evaluation in Simultaneous Translation. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 345–353, Athens, Greece. Association for Computational Linguistics."
universal_dependency_parsing_with_a_general_transitionbased_dag_parser,October,2018.0,CoNLL,https://aclanthology.org/K18-2010,hershcovich-etal-2018-universal,"Daniel Hershcovich, Omri Abend, and Ari Rappoport. 2018. Universal Dependency Parsing with a General Transition-Based DAG Parser. In Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 103–112, Brussels, Belgium. Association for Computational Linguistics."
fast_whitespace_correction_with_encoderonly_transformers,July,2023.0,ACL,https://aclanthology.org/2023.acl-demo.37,bast-etal-2023-fast,"Hannah Bast, Matthias Hertel, and Sebastian Walter. 2023. Fast Whitespace Correction with Encoder-Only Transformers. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 389–399, Toronto, Canada. Association for Computational Linguistics."
entitycentric_joint_modeling_of_japanese_coreference_resolution_and_predicate_argument_structure_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
musied_a_benchmark_for_event_detection_from_multisource_heterogeneous_informal_texts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
chid_a_largescale_chinese_idiom_dataset_for_cloze_test,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
banditmtl_banditbased_multitask_learning_for_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
realistic_conversational_question_answering_with_answer_selection_based_on_calibrated_confidence_and_uncertainty_measurement,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.35,jeong-etal-2023-realistic,"Soyeong Jeong, Jinheon Baek, Sung Ju Hwang, and Jong Park. 2023. Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 477–490, Dubrovnik, Croatia. Association for Computational Linguistics."
automatic_document_selection_for_efficient_encoder_pretraining,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.647,feng-etal-2022-automatic,"Yukun Feng, Patrick Xia, Benjamin Van Durme, and João Sedoc. 2022. Automatic Document Selection for Efficient Encoder Pretraining. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9522–9530, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
from_paraphrasing_to_semantic_parsing_unsupervised_semantic_parsing_via_synchronous_semantic_decoding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_chinese_remainder_theorem_for_compact_taskprecise_efficient_and_secure_word_embeddings,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.306,thaine-penn-2021-chinese,"Patricia Thaine and Gerald Penn. 2021. The Chinese Remainder Theorem for Compact, Task-Precise, Efficient and Secure Word Embeddings. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3512–3521, Online. Association for Computational Linguistics."
answering_ambiguous_questions_through_generative_evidence_fusion_and_roundtrip_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_joint_model_for_quotation_attribution_and_coreference_resolution,April,2014.0,EACL,https://aclanthology.org/E14-1005,almeida-etal-2014-joint,"Mariana S. C. Almeida, Miguel B. Almeida, and André F. T. Martins. 2014. A Joint Model for Quotation Attribution and Coreference Resolution. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 39–48, Gothenburg, Sweden. Association for Computational Linguistics."
memoryefficient_temporal_moment_localization_in_long_videos,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.140,rodriguez-opazo-etal-2023-memory,"Cristian Rodriguez-Opazo, Edison Marrese-Taylor, Basura Fernando, Hiroya Takamura, and Qi Wu. 2023. Memory-efficient Temporal Moment Localization in Long Videos. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1909–1924, Dubrovnik, Croatia. Association for Computational Linguistics."
bilingual_cluster_based_models_for_statistical_machine_translation,June,2007.0,,https://aclanthology.org/D07-1054,yamamoto-sumita-2007-bilingual,"Hirofumi Yamamoto and Eiichiro Sumita. 2007. Bilingual Cluster Based Models for Statistical Machine Translation. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 514–523, Prague, Czech Republic. Association for Computational Linguistics."
improving_crossmodal_alignment_for_textguided_image_inpainting,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.250,zhou-long-2023-improving,"Yucheng Zhou and Guodong Long. 2023. Improving Cross-modal Alignment for Text-Guided Image Inpainting. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3445–3456, Dubrovnik, Croatia. Association for Computational Linguistics."
correcting_automatic_translations_through_collaborations_between_mt_and_monolingual_targetlanguage_users,March,2009.0,EACL,https://aclanthology.org/E09-1008,albrecht-etal-2009-correcting,"Joshua Albrecht, Rebecca Hwa, and G. Elisabeta Marai. 2009. Correcting Automatic Translations through Collaborations between MT and Monolingual Target-Language Users. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 60–68, Athens, Greece. Association for Computational Linguistics."
plug_and_play_knowledge_distillation_for_knnlm_with_external_logits,November,2022.0,,https://aclanthology.org/2022.aacl-short.57,jin-etal-2022-plug,"Xuyang Jin, Tao Ge, and Furu Wei. 2022. Plug and Play Knowledge Distillation for kNN-LM with External Logits. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 463–469, Online only. Association for Computational Linguistics."
district_dialogue_state_tracking_with_retriever_driven_incontext_tuning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
question_answering_as_programming_for_solving_timesensitive_questions,July,2023.0,ACL,https://aclanthology.org/2023.acl-long.541,potluri-etal-2023-concise,"Abhilash Potluri, Fangyuan Xu, and Eunsol Choi. 2023. Concise Answers to Complex Questions: Summarization of Long-form Answers. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 9709–9728, Toronto, Canada. Association for Computational Linguistics."
frequency_explains_the_inverse_correlation_of_large_language_models_size_training_data_amount_and_surprisals_fit_to_reading_times,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.162,oh-etal-2024-frequency,"Byung-Doh Oh, Shisen Yue, and William Schuler. 2024. Frequency Explains the Inverse Correlation of Large Language Models’ Size, Training Data Amount, and Surprisal’s Fit to Reading Times. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2644–2663, St. Julian’s, Malta. Association for Computational Linguistics."
predicting_degrees_of_technicality_in_automatic_terminology_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
joint_reasoning_for_temporal_and_causal_relations,July,2018.0,ACL,https://aclanthology.org/P18-1212,ning-etal-2018-joint,"Qiang Ning, Zhili Feng, Hao Wu, and Dan Roth. 2018. Joint Reasoning for Temporal and Causal Relations. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2278–2288, Melbourne, Australia. Association for Computational Linguistics."
constructing_interpretive_spatiotemporal_features_for_multiturn_responses_selection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
asqa_factoid_questions_meet_longform_answers,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.566,stelmakh-etal-2022-asqa,"Ivan Stelmakh, Yi Luan, Bhuwan Dhingra, and Ming-Wei Chang. 2022. ASQA: Factoid Questions Meet Long-Form Answers. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8273–8288, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
the_effect_of_scaling_retrieval_augmentation_and_form_on_the_factual_consistency_of_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pointwise_paraphrase_appraisal_is_potentially_problematic,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modelling_context_emotions_using_multitask_learning_for_emotion_controlled_dialog_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lexicon_infused_phrase_embeddings_for_named_entity_resolution,June,2014.0,CoNLL,https://aclanthology.org/W14-1609,passos-etal-2014-lexicon,"Alexandre Passos, Vineet Kumar, and Andrew McCallum. 2014. Lexicon Infused Phrase Embeddings for Named Entity Resolution. In Proceedings of the Eighteenth Conference on Computational Natural Language Learning, pages 78–86, Ann Arbor, Michigan. Association for Computational Linguistics."
when_is_multitask_learning_effective_semantic_sequence_prediction_under_varying_data_conditions,April,2017.0,EACL,https://aclanthology.org/E17-1005,martinez-alonso-plank-2017-multitask,"Héctor Martínez Alonso and Barbara Plank. 2017. When is multitask learning effective? Semantic sequence prediction under varying data conditions. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 44–53, Valencia, Spain. Association for Computational Linguistics."
uctopic_unsupervised_contrastive_learning_for_phrase_representations_and_topic_mining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
simplified_graph_learning_for_inductive_short_text_classification,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.735,zheng-etal-2022-simplified,"Kaixin Zheng, Yaqing Wang, Quanming Yao, and Dejing Dou. 2022. Simplified Graph Learning for Inductive Short Text Classification. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10717–10724, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
novel_slot_detection_a_benchmark_for_discovering_unknown_slot_types_in_the_taskoriented_dialogue_system,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
labelagnostic_sequence_labeling_by_copying_nearest_neighbors,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_adaptable_patterns_for_passage_reranking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sequencetosequence_models_for_cache_transition_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generating_fluent_adversarial_examples_for_natural_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
estimating_the_influence_of_auxiliary_tasks_for_multitask_learning_of_sequence_tagging_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_methods_for_head_assignments,March,2009.0,EACL,https://aclanthology.org/E09-1080,sangati-zuidema-2009-unsupervised,"Federico Sangati and Willem Zuidema. 2009. Unsupervised Methods for Head Assignments. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 701–709, Athens, Greece. Association for Computational Linguistics."
an_empirical_study_on_crossx_transfer_for_legal_judgment_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
what_was_written_vs_who_read_it_news_media_profiling_using_text_analysis_and_social_media_context,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
recovering_nonlocal_dependencies_for_chinese,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mapping_the_perfect_via_translation_mining,April,2017.0,EACL,https://aclanthology.org/E17-2080,van-der-klis-etal-2017-mapping,"Martijn van der Klis, Bert Le Bruyn, and Henriëtte de Swart. 2017. Mapping the Perfect via Translation Mining. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 497–502, Valencia, Spain. Association for Computational Linguistics."
what_else_do_i_need_to_know_the_effect_of_background_information_on_users_reliance_on_qa_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
weaklysupervised_bayesian_learning_of_a_ccg_supertagger,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
synchronous_syntactic_attention_for_transformer_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_slot_filling_in_spoken_language_understanding_with_joint_pointer_and_attention,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_drugdrug_interaction_extraction_from_texts_by_molecular_structure_information,July,2018.0,ACL,https://aclanthology.org/P18-2108,asada-etal-2018-enhancing,"Masaki Asada, Makoto Miwa, and Yutaka Sasaki. 2018. Enhancing Drug-Drug Interaction Extraction from Texts by Molecular Structure Information. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 680–685, Melbourne, Australia. Association for Computational Linguistics."
continual_and_multitask_architecture_search,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
synthesizing_human_gaze_feedback_for_improved_nlp_performance,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.139,khurana-etal-2023-synthesizing,"Varun Khurana, Yaman Kumar, Nora Hollenstein, Rajesh Kumar, and Balaji Krishnamurthy. 2023. Synthesizing Human Gaze Feedback for Improved NLP Performance. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1895–1908, Dubrovnik, Croatia. Association for Computational Linguistics."
verbal_multiword_expressions_for_identification_of_metaphor,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
beyond_goldfish_memory_longterm_opendomain_conversation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
probing_neural_network_comprehension_of_natural_language_arguments,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
groundtruth_labels_matter_a_deeper_look_into_inputlabel_demonstrations,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.155,yoo-etal-2022-ground,"Kang Min Yoo, Junyeob Kim, Hyuhng Joon Kim, Hyunsoo Cho, Hwiyeol Jo, Sang-Woo Lee, Sang-goo Lee, and Taeuk Kim. 2022. Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 2422–2437, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
neural_machine_translation_by_minimising_the_bayesrisk_with_respect_to_syntactic_translation_lattices,April,2017.0,EACL,https://aclanthology.org/E17-2058,stahlberg-etal-2017-neural,"Felix Stahlberg, Adrià de Gispert, Eva Hasler, and Bill Byrne. 2017. Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 362–368, Valencia, Spain. Association for Computational Linguistics."
collocation_classification_with_unsupervised_relation_vectors,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
capturing_global_structural_information_in_long_document_question_answering_with_compressive_graph_selector_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
posttraining_with_interrogative_sentences_for_enhancing_bartbased_korean_question_generator,November,2022.0,,https://aclanthology.org/2022.aacl-short.26,park-etal-2022-post,"Gyu-Min Park, Seong-Eun Hong, and Seong-Bae Park. 2022. Post-Training with Interrogative Sentences for Enhancing BART-based Korean Question Generator. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 202–209, Online only. Association for Computational Linguistics."
analyzing_text_representations_by_measuring_task_alignment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
vistot_visionaugmented_tabletotext_generation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.675,gatti-etal-2022-vistot,"Prajwal Gatti, Anand Mishra, Manish Gupta, and Mithun Das Gupta. 2022. VisToT: Vision-Augmented Table-to-Text Generation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9936–9949, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
arxivedits_understanding_the_human_revision_process_in_scientific_writing,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.641,jiang-etal-2022-arxivedits,"Chao Jiang, Wei Xu, and Samuel Stevens. 2022. arXivEdits: Understanding the Human Revision Process in Scientific Writing. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9420–9435, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
transfer_learning_for_sequence_generation_from_singlesource_to_multisource,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
scene_selflabeled_counterfactuals_for_extrapolating_to_negative_examples,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adaptive_label_smoothing_with_selfknowledge_in_natural_language_generation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.664,lee-etal-2022-adaptive,"Dongkyu Lee, Ka Chun Cheung, and Nevin Zhang. 2022. Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9781–9792, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
txtract_taxonomyaware_knowledge_extraction_for_thousands_of_product_categories,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.751,karamanolakis-etal-2020-txtract,"Giannis Karamanolakis, Jun Ma, and Xin Luna Dong. 2020. TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8489–8502, Online. Association for Computational Linguistics."
what_are_the_goals_of_distributional_semantics,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
contrastive_learning_of_sentence_embeddings_from_scratch,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pretraining_universal_language_representation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lexical_knowledge_internalization_for_neural_dialog_generation,May,2022.0,ACL,https://aclanthology.org/2022.acl-long.547,wu-etal-2022-lexical,"Zhiyong Wu, Wei Bi, Xiang Li, Lingpeng Kong, and Ben Kao. 2022. Lexical Knowledge Internalization for Neural Dialog Generation. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 7945–7958, Dublin, Ireland. Association for Computational Linguistics."
higherorder_relation_schema_induction_using_tensor_factorization_with_backoff_and_aggregation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
context_matters_a_pragmatic_study_of_plms_negation_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tackling_fake_news_detection_by_continually_improving_social_context_representations_using_graph_neural_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
empower_large_language_model_to_perform_better_on_industrial_domainspecific_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
socaog_incremental_graph_parsing_for_social_relation_inference_in_dialogues,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bilingual_synchronization_restoring_translational_relationships_with_editing_operations,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.548,xu-etal-2022-bilingual,"Jitao Xu, Josep Crego, and François Yvon. 2022. Bilingual Synchronization: Restoring Translational Relationships with Editing Operations. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8016–8030, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
unimath_a_foundational_and_multimodal_mathematical_reasoner,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
instance_selection_improves_crosslingual_model_training_for_finegrained_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_continual_model_refinement_in_outofdistribution_data_streams,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lets_think_frame_by_frame_with_vip_a_video_infilling_and_prediction_dataset_for_evaluating_video_chainofthought,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_models_for_documents_with_metadata,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
prompts_can_play_lottery_tickets_well_achieving_lifelong_information_extraction_via_lottery_prompt_tuning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
handling_extreme_class_imbalance_in_technical_logbook_datasets,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
glen_generalpurpose_event_detection_for_thousands_of_types,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crosslingual_visual_pretraining_for_multimodal_machine_translation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.112,caglayan-etal-2021-cross,"Ozan Caglayan, Menekse Kuyu, Mustafa Sercan Amac, Pranava Madhyastha, Erkut Erdem, Aykut Erdem, and Lucia Specia. 2021. Cross-lingual Visual Pre-training for Multimodal Machine Translation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1317–1324, Online. Association for Computational Linguistics."
learning_subjective_nouns_using_extraction_pattern_bootstrapping,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
is_anisotropy_truly_harmful_a_case_study_on_text_clustering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_actively_learn_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
symptom_identification_for_interpretable_detection_of_multiple_mental_disorders_on_social_media,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.677,zhang-etal-2022-symptom,"Zhiling Zhang, Siyuan Chen, Mengyue Wu, and Kenny Zhu. 2022. Symptom Identification for Interpretable Detection of Multiple Mental Disorders on Social Media. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9970–9985, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
newsmtsc_a_dataset_for_multitargetdependent_sentiment_classification_in_political_news_articles,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.142,hamborg-donnay-2021-newsmtsc,"Felix Hamborg and Karsten Donnay. 2021. NewsMTSC: A Dataset for (Multi-)Target-dependent Sentiment Classification in Political News Articles. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1663–1675, Online. Association for Computational Linguistics."
friendtraining_learning_from_models_of_different_but_related_tasks,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.18,zhang-etal-2023-friend,"Mian Zhang, Lifeng Jin, Linfeng Song, Haitao Mi, Xiabing Zhou, and Dong Yu. 2023. Friend-training: Learning from Models of Different but Related Tasks. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 232–247, Dubrovnik, Croatia. Association for Computational Linguistics."
unbiased_and_efficient_sampling_of_dependency_trees,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
acquisition_of_noncontiguous_class_attributes_from_web_search_queries,April,2014.0,EACL,https://aclanthology.org/E14-1041,pasca-2014-acquisition,"Marius Paşca. 2014. Acquisition of Noncontiguous Class Attributes from Web Search Queries. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 386–394, Gothenburg, Sweden. Association for Computational Linguistics."
longspan_summarization_via_local_attention_and_content_selection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
give_me_convenience_and_give_her_death_who_should_decide_what_uses_of_nlp_are_appropriate_and_on_what_basis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nestle_a_nocode_tool_for_statistical_analysis_of_legal_corpus,March,2024.0,EACL,https://aclanthology.org/2024.eacl-demo.7,cho-etal-2024-nestle,"Kyoungyeon Cho, Seungkum Han, Young Rok Choi, and Wonseok Hwang. 2024. NESTLE: a No-Code Tool for Statistical Analysis of Legal Corpus. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 52–61, St. Julians, Malta. Association for Computational Linguistics."
gaia_a_finegrained_multimedia_knowledge_extraction_system,July,2020.0,ACL,https://aclanthology.org/2020.acl-demos.11,li-etal-2020-gaia,"Manling Li, Alireza Zareian, Ying Lin, Xiaoman Pan, Spencer Whitehead, Brian Chen, Bo Wu, Heng Ji, Shih-Fu Chang, Clare Voss, Daniel Napierski, and Marjorie Freedman. 2020. GAIA: A Fine-grained Multimedia Knowledge Extraction System. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 77–86, Online. Association for Computational Linguistics."
certified_error_control_of_candidate_set_pruning_for_twostage_relevance_ranking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reanalyzing_l2_preposition_learning_with_bayesian_mixed_effects_and_a_pretrained_language_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
document_embedding_enhanced_event_detection_with_hierarchical_and_supervised_attention,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dvd_a_diagnostic_dataset_for_multistep_reasoning_in_video_grounded_dialogue,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
beliefbased_generation_of_argumentative_claims,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.17,alshomary-etal-2021-belief,"Milad Alshomary, Wei-Fan Chen, Timon Gurcke, and Henning Wachsmuth. 2021. Belief-based Generation of Argumentative Claims. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 224–233, Online. Association for Computational Linguistics."
rare_and_zeroshot_word_sense_disambiguation_using_zreweighting,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
using_foreign_inclusion_detection_to_improve_parsing_performance,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
informative_image_captioning_with_external_sources_of_information,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
docpilot_copilot_for_automating_pdf_edit_workflows_in_documents,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
doer_dual_crossshared_rnn_for_aspect_termpolarity_coextraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_twostage_approach_to_retrieving_answers_for_howto_questions,,2006.0,EACL,https://aclanthology.org/E06-3006,yin-2006-two,"Ling Yin. 2006. A Two-Stage Approach to Retrieving Answers for How-To Questions. In Student Research Workshop, pages 63–70."
voxpopuli_a_largescale_multilingual_speech_corpus_for_representation_learning_semisupervised_learning_and_interpretation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
assessing_the_representations_of_idiomaticity_in_vector_models_with_a_noun_compound_dataset_labeled_at_type_and_token_levels,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluating_language_models_for_the_retrieval_and_categorization_of_lexical_collocations,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.120,espinosa-anke-etal-2021-evaluating,"Luis Espinosa Anke, Joan Codina-Filba, and Leo Wanner. 2021. Evaluating language models for the retrieval and categorization of lexical collocations. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1406–1417, Online. Association for Computational Linguistics."
hifi_highinformation_attention_heads_hold_for_parameterefficient_model_adaptation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
age_group_classification_with_speech_and_metadata_multimodality_fusion,April,2017.0,EACL,https://aclanthology.org/E17-2030,katerenchuk-2017-age,"Denys Katerenchuk. 2017. Age Group Classification with Speech and Metadata Multimodality Fusion. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 188–193, Valencia, Spain. Association for Computational Linguistics."
elliphant_improved_automatic_detection_of_zero_subjects_and_impersonal_constructions_in_spanish,April,2012.0,EACL,https://aclanthology.org/E12-1072,rello-etal-2012-elliphant,"Luz Rello, Ricardo Baeza-Yates, and Ruslan Mitkov. 2012. Elliphant: Improved Automatic Detection of Zero Subjects and Impersonal Constructions in Spanish. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 706–715, Avignon, France. Association for Computational Linguistics."
shorten_the_long_tail_for_rare_entity_and_event_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hierarchical_sketch_induction_for_paraphrase_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unified_dualview_cognitive_model_for_interpretable_claim_verification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dynamic_and_efficient_inference_for_text_generation_via_bert_family,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reimagining_complaint_analysis_adopting_seq2path_for_a_generative_texttotext_framework,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fastclass_a_timeefficient_approach_to_weaklysupervised_text_classification,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.313,xia-etal-2022-fastclass,"Tingyu Xia, Yue Wang, Yuan Tian, and Yi Chang. 2022. FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4746–4758, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
corpus_selection_approaches_for_multilingual_parsing_from_raw_text_to_universal_dependencies,August,2017.0,CoNLL,https://aclanthology.org/K17-3021,hornby-etal-2017-corpus,"Ryan Hornby, Clark Taylor, and Jungyeul Park. 2017. Corpus Selection Approaches for Multilingual Parsing from Raw Text to Universal Dependencies. In Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 198–206, Vancouver, Canada. Association for Computational Linguistics."
dsi_updating_transformer_memory_with_new_documents,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
straight_to_the_tree_constituency_parsing_with_neural_syntactic_distance,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_unexplored_generalization_challenges_for_crossdatabase_semantic_parsing,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.742,suhr-etal-2020-exploring,"Alane Suhr, Ming-Wei Chang, Peter Shaw, and Kenton Lee. 2020. Exploring Unexplored Generalization Challenges for Cross-Database Semantic Parsing. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8372–8388, Online. Association for Computational Linguistics."
alpacatag_an_active_learningbased_crowd_annotation_framework_for_sequence_tagging,July,2019.0,ACL,https://aclanthology.org/P19-3010,lin-etal-2019-alpacatag,"Bill Yuchen Lin, Dong-Ho Lee, Frank F. Xu, Ouyu Lan, and Xiang Ren. 2019. AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 58–63, Florence, Italy. Association for Computational Linguistics."
dynamic_transformers_provide_a_false_sense_of_efficiency,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluating_dialogue_generation_systems_via_response_selection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
interpretability_for_language_learners_using_examplebased_grammatical_error_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_identify_followup_questions_in_conversational_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
precisely_the_point_adversarial_augmentations_for_faithful_and_informative_text_generation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.482,wu-etal-2022-precisely,"Wenhao Wu, Wei Li, Jiachen Liu, Xinyan Xiao, Sujian Li, and Yajuan Lyu. 2022. Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7160–7176, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
incorporating_attribution_importance_for_improving_faithfulness_metrics,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
complementary_evidence_identification_in_opendomain_question_answering,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.234,mou-etal-2021-complementary,"Xiangyang Mou, Mo Yu, Shiyu Chang, Yufei Feng, Li Zhang, and Hui Su. 2021. Complementary Evidence Identification in Open-Domain Question Answering. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2720–2726, Online. Association for Computational Linguistics."
how_does_generative_retrieval_scale_to_millions_of_passages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_online_semanticenhanced_dirichlet_model_for_short_text_stream_clustering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
common_flaws_in_running_human_evaluation_experiments_in_nlp,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
named_entity_recognition_without_labelled_data_a_weak_supervision_approach,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_chinese_word_segmentation_with_wordhood_memory_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ict_system_description_for_conll2012,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
clustering_pseudo_language_family_in_multilingual_translation_models_with_fisher_information_matrix,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
joint_completion_and_alignment_of_multilingual_knowledge_graphs,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.817,chakrabarti-etal-2022-joint,"Soumen Chakrabarti, Harkanwar Singh, Shubham Lohiya, Prachi Jain, and Mausam -. 2022. Joint Completion and Alignment of Multilingual Knowledge Graphs. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11922–11938, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
eptx_an_expressionpointer_transformer_model_that_generates_explanations_for_numbers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
understanding_and_countering_stereotypes_a_computational_approach_to_the_stereotype_content_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
came_confidenceguided_adaptive_memory_efficient_optimization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
selfattention_with_crosslingual_position_representation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
strass_a_light_and_effective_method_for_extractive_summarization_based_on_sentence_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
scoring_lexical_entailment_with_a_supervised_directional_similarity_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
zero_and_fewshot_localization_of_taskoriented_dialogue_agents_with_a_distilled_representation,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.62,moradshahi-etal-2023-zero,"Mehrad Moradshahi, Sina Semnani, and Monica Lam. 2023. Zero and Few-Shot Localization of Task-Oriented Dialogue Agents with a Distilled Representation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 886–901, Dubrovnik, Croatia. Association for Computational Linguistics."
event_causality_extraction_via_implicit_causeeffect_interactions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
scrolls_standardized_comparison_over_long_language_sequences,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.823,shaham-etal-2022-scrolls,"Uri Shaham, Elad Segal, Maor Ivgi, Avia Efrat, Ori Yoran, Adi Haviv, Ankit Gupta, Wenhan Xiong, Mor Geva, Jonathan Berant, and Omer Levy. 2022. SCROLLS: Standardized CompaRison Over Long Language Sequences. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 12007–12021, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
multimodal_sarcasm_detection_in_twitter_with_hierarchical_fusion_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enforcing_consistency_in_weakly_supervised_semantic_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unified_structure_generation_for_universal_information_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
entity_contrastive_learning_in_a_largescale_virtual_assistant_system,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_semantic_textual_similarity_via_topicinformed_discrete_latent_variables,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.328,yu-etal-2022-learning,"Erxin Yu, Lan Du, Yuan Jin, Zhepei Wei, and Yi Chang. 2022. Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4937–4948, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
memory_consolidation_for_contextual_spoken_language_understanding_with_dialogue_logistic_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_expert_annotated_dataset_for_the_detection_of_online_misogyny,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.114,guest-etal-2021-expert,"Ella Guest, Bertie Vidgen, Alexandros Mittos, Nishanth Sastry, Gareth Tyson, and Helen Margetts. 2021. An Expert Annotated Dataset for the Detection of Online Misogyny. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1336–1350, Online. Association for Computational Linguistics."
learning_to_rank_context_for_named_entity_recognition_using_a_synthetic_dataset,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_automatic_generation_and_simplification_of_childrens_stories,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
testtime_adaptation_for_machine_translation_evaluation_by_uncertainty_minimization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_memorybased_approach_to_the_treatment_of_serial_verb_construction_in_combinatory_categorial_grammar,April,2009.0,EACL,https://aclanthology.org/E09-3002,boonkwan-2009-memory,"Prachya Boonkwan. 2009. A Memory-Based Approach to the Treatment of Serial Verb Construction in Combinatory Categorial Grammar. In Proceedings of the Student Research Workshop at EACL 2009, pages 10–18, Athens, Greece. Association for Computational Linguistics."
a_comparison_of_algorithms_for_maximum_entropy_parameter_estimation,,2002.0,CoNLL,https://aclanthology.org/W02-2018,malouf-2002-comparison,Robert Malouf. 2002. A Comparison of Algorithms for Maximum Entropy Parameter Estimation. In COLING-02: The 6th Conference on Natural Language Learning 2002 (CoNLL-2002).
generalizing_over_long_tail_concepts_for_medical_term_normalization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nlpuned_at_smm4h_2019_neural_networks_applied_to_automatic_classifications_of_adverse_effects_mentions_in_tweets,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
insights_into_the_dialogue_processing_of_verbmobil,March,1997.0,ANLP,https://aclanthology.org/A97-1007,alexandersson-etal-1997-insights,"Jan Alexandersson, Norbert Reithinger, and Elisabeth Maier. 1997. Insights into the Dialogue Processing of VERBMOBIL. In Fifth Conference on Applied Natural Language Processing, pages 33–40, Washington, DC, USA. Association for Computational Linguistics."
continual_knowledge_distillation_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_semantic_latent_space_of_diffusionbased_texttospeech_models,August,2024.0,ACL,https://aclanthology.org/2024.acl-short.24,varshavsky-hassid-etal-2024-semantic,"Miri Varshavsky-Hassid, Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, and Ehud Rivlin. 2024. On the Semantic Latent Space of Diffusion-Based Text-To-Speech Models. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 246–255, Bangkok, Thailand. Association for Computational Linguistics."
towards_integration_of_statistical_hypothesis_tests_into_deep_neural_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
opensr_openmodality_speech_recognition_via_maintaining_multimodality_alignment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tabs_efficient_textual_adversarial_attack_for_pretrained_nl_code_model_using_semantic_beam_search,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
event_temporal_relation_extraction_with_bayesian_translational_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unified_semantic_parsing_with_weak_supervision,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
returning_the_n_to_nlp_towards_contextually_personalized_classification_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
polyjuice_generating_counterfactuals_for_explaining_evaluating_and_improving_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_trainingfree_debiasing_framework_with_counterfactual_reasoning_for_conversational_emotion_detection,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.967,tu-etal-2023-training,"Geng Tu, Ran Jing, Bin Liang, Min Yang, Kam-Fai Wong, and Ruifeng Xu. 2023. A Training-Free Debiasing Framework with Counterfactual Reasoning for Conversational Emotion Detection. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15639–15650, Singapore. Association for Computational Linguistics."
kdboost_boosting_realtime_semantic_matching_in_ecommerce_with_knowledge_distillation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.14,agrawal-etal-2023-kd,"Sanjay Agrawal, Vivek Sembium, and Ankith M S. 2023. KD-Boost: Boosting Real-Time Semantic Matching in E-commerce with Knowledge Distillation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 131–141, Singapore. Association for Computational Linguistics."
learning_disentangled_representations_of_negation_and_uncertainty,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
qa_domain_adaptation_using_hidden_space_augmentation_and_selfsupervised_contrastive_adaptation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.147,yue-etal-2022-qa,"Zhenrui Yue, Huimin Zeng, Bernhard Kratzwald, Stefan Feuerriegel, and Dong Wang. 2022. QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 2308–2321, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
paranmt50m_pushing_the_limits_of_paraphrastic_sentence_embeddings_with_millions_of_machine_translations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
structural_generalization_in_cogs_supertagging_is_almost_all_you_need,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
m3_a_multiview_fusion_and_multidecoding_network_for_multidocument_reading_comprehension,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.94,wen-etal-2022-m3,"Liang Wen, Houfeng Wang, Yingwei Luo, and Xiaolin Wang. 2022. M3: A Multi-View Fusion and Multi-Decoding Network for Multi-Document Reading Comprehension. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1450–1461, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
dependency_parsing_as_mrcbased_spanspan_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
scalable_syntaxaware_language_models_using_knowledge_distillation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sequence_to_general_tree_knowledgeguided_geometry_word_problem_solving,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
roles_and_utilization_of_attention_heads_in_transformerbased_neural_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_embarrassingly_simple_method_to_mitigate_undesirable_properties_of_pretrained_language_model_tokenizers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
css_combining_selftraining_and_selfsupervised_learning_for_fewshot_dialogue_state_tracking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
conversational_response_reranking_based_on_event_causality_and_role_factored_tensor_event_embedding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
disconnected_recurrent_neural_networks_for_text_categorization,July,2018.0,ACL,https://aclanthology.org/P18-1215,wang-2018-disconnected,"Baoxin Wang. 2018. Disconnected Recurrent Neural Networks for Text Categorization. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2311–2320, Melbourne, Australia. Association for Computational Linguistics."
towards_robustifying_nli_models_against_lexical_dataset_biases,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
selfattention_guided_copy_mechanism_for_abstractive_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
s2orc_the_semantic_scholar_open_research_corpus,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
universal_conditional_masked_language_pretraining_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crossstitching_text_and_knowledge_graph_encoders_for_distantly_supervised_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
attention_and_lexicon_regularized_lstm_for_aspectbased_sentiment_analysis,July,2019.0,ACL,https://aclanthology.org/P19-2035,bao-etal-2019-attention,"Lingxian Bao, Patrik Lambert, and Toni Badia. 2019. Attention and Lexicon Regularized LSTM for Aspect-based Sentiment Analysis. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 253–259, Florence, Italy. Association for Computational Linguistics."
chinese_relation_extraction_with_multigrained_information_and_external_linguistic_knowledge,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluating_opendomain_dialogues_in_latent_space_with_next_sentence_prediction_and_mutual_information,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
are_human_explanations_always_helpful_towards_objective_evaluation_of_human_natural_language_explanations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
early_discovery_of_disappearing_entities_in_microblogs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dualgats_dual_graph_attention_networks_for_emotion_recognition_in_conversations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_normalization_of_temporal_expressions_with_masked_language_models,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.84,lange-etal-2023-multilingual,"Lukas Lange, Jannik Strötgen, Heike Adel, and Dietrich Klakow. 2023. Multilingual Normalization of Temporal Expressions with Masked Language Models. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1174–1186, Dubrovnik, Croatia. Association for Computational Linguistics."
pretrain_and_plugin_flexible_conditional_text_generation_with_variational_autoencoders,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
structural_and_lexical_factors_in_adjective_placement_in_complex_noun_phrases_across_romance_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fewshot_question_answering_by_pretraining_span_selection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
retrieval_augmented_visual_question_answering_with_outside_knowledge,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.772,lin-byrne-2022-retrieval,"Weizhe Lin and Bill Byrne. 2022. Retrieval Augmented Visual Question Answering with Outside Knowledge. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11238–11254, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
normdial_a_comparable_bilingual_synthetic_dialog_dataset_for_modeling_social_norm_adherence_and_violation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adjusting_the_precisionrecall_tradeoff_with_alignandpredict_decoding_for_grammatical_error_correction,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.77,sun-wang-2022-adjusting,"Xin Sun and Houfeng Wang. 2022. Adjusting the Precision-Recall Trade-Off with Align-and-Predict Decoding for Grammatical Error Correction. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 686–693, Dublin, Ireland. Association for Computational Linguistics."
a_prompt_array_keeps_the_bias_away_debiasing_visionlanguage_models_with_adversarial_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_proof_nets,November,2020.0,CoNLL,https://aclanthology.org/2020.conll-1.3,kogkalidis-etal-2020-neural,"Konstantinos Kogkalidis, Michael Moortgat, and Richard Moot. 2020. Neural Proof Nets. In Proceedings of the 24th Conference on Computational Natural Language Learning, pages 26–40, Online. Association for Computational Linguistics."
how_to_best_use_syntax_in_semantic_role_labelling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
no_metrics_are_perfect_adversarial_reward_learning_for_visual_storytelling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cofcot_enhancing_large_language_models_with_coarsetofine_chainofthought_prompting_for_multidomain_nlu_tasks,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.743,nguyen-etal-2023-cof,"Hoang Nguyen, Ye Liu, Chenwei Zhang, Tao Zhang, and Philip Yu. 2023. CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12109–12119, Singapore. Association for Computational Linguistics."
automatic_keyphrase_extraction_by_bridging_vocabulary_gap,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_representation_for_complex_and_evolving_data_dependencies_in_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
downstream_datasets_make_surprisingly_good_pretraining_corpora,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
physician_detection_of_clinical_harm_in_machine_translation_quality_estimation_aids_in_reliance_and_backtranslation_identifies_critical_errors,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.712,mehandru-etal-2023-physician,"Nikita Mehandru, Sweta Agrawal, Yimin Xiao, Ge Gao, Elaine Khoong, Marine Carpuat, and Niloufar Salehi. 2023. Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11633–11647, Singapore. Association for Computational Linguistics."
simple_and_effective_approach_for_consistent_training_of_hierarchical_phrasebased_translation_models,April,2014.0,EACL,https://aclanthology.org/E14-4034,peitz-etal-2014-simple,"Stephan Peitz, David Vilar, and Hermann Ney. 2014. Simple and Effective Approach for Consistent Training of Hierarchical Phrase-based Translation Models. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 174–179, Gothenburg, Sweden. Association for Computational Linguistics."
mantle_modelagnostic_natural_language_explainer,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.832,menon-etal-2023-mantle,"Rakesh Menon, Kerem Zaman, and Shashank Srivastava. 2023. MaNtLE: Model-agnostic Natural Language Explainer. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13493–13511, Singapore. Association for Computational Linguistics."
social_biases_in_nlp_models_as_barriers_for_persons_with_disabilities,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_neural_machine_translation_with_soft_template_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_automated_framework_for_fast_cognate_detection_and_bayesian_phylogenetic_inference_in_computational_historical_linguistics,July,2019.0,ACL,https://aclanthology.org/P19-1627,rama-list-2019-automated,"Taraka Rama and Johann-Mattis List. 2019. An Automated Framework for Fast Cognate Detection and Bayesian Phylogenetic Inference in Computational Historical Linguistics. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 6225–6235, Florence, Italy. Association for Computational Linguistics."
towards_unsupervised_text_classification_leveraging_experts_and_word_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_virginia_tech_system_at_conll2016_shared_task_on_shallow_discourse_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
building_a_japanese_typo_dataset_from_wikipedias_revision_history,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_descriptive_image_captioning_with_natural_language_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
toward_unified_controllable_text_generation_via_regular_expression_instruction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modeling_complex_event_scenarios_via_simple_entityfocused_questions,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.181,koupaee-etal-2023-modeling,"Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, and Niranjan Balasubramanian. 2023. Modeling Complex Event Scenarios via Simple Entity-focused Questions. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2468–2483, Dubrovnik, Croatia. Association for Computational Linguistics."
combining_global_models_for_parsing_universal_dependencies,August,2017.0,CoNLL,https://aclanthology.org/K17-3003,shi-etal-2017-combining,"Tianze Shi, Felix G. Wu, Xilun Chen, and Yao Cheng. 2017. Combining Global Models for Parsing Universal Dependencies. In Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 31–39, Vancouver, Canada. Association for Computational Linguistics."
understanding_client_reactions_in_online_mental_health_counseling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
eeny_meeny_miny_moe_how_to_choose_data_for_morphological_inflection,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.492,muradoglu-hulden-2022-eeny,"Saliha Muradoglu and Mans Hulden. 2022. Eeny, meeny, miny, moe. How to choose data for morphological inflection.. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7294–7303, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
semisupervised_dialogue_policy_learning_via_stochastic_reward_estimation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unified_lowresource_sequence_labeling_by_sampleaware_dynamic_sparse_finetuning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bagofwords_as_target_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dealing_with_abbreviations_in_the_slovenian_biographical_lexicon,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.596,daza-etal-2022-dealing,"Angel Daza, Antske Fokkens, and Tomaž Erjavec. 2022. Dealing with Abbreviations in the Slovenian Biographical Lexicon. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8715–8720, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
selfcriticism_aligning_large_language_models_with_their_understanding_of_helpfulness_honesty_and_harmlessness,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.62,tan-etal-2023-self,"Xiaoyu Tan, Shaojie Shi, Xihe Qiu, Chao Qu, Zhenting Qi, Yinghui Xu, and Yuan Qi. 2023. Self-Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and Harmlessness. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 650–662, Singapore. Association for Computational Linguistics."
a_vague_sense_classifier_for_detecting_vague_definitions_in_ontologies,April,2014.0,EACL,https://aclanthology.org/E14-4007,alexopoulos-pavlopoulos-2014-vague,"Panos Alexopoulos and John Pavlopoulos. 2014. A Vague Sense Classifier for Detecting Vague Definitions in Ontologies. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 33–37, Gothenburg, Sweden. Association for Computational Linguistics."
kafa_rethinking_image_ad_understanding_with_knowledgeaugmented_feature_adaptation_of_visionlanguage_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crosslingual_training_for_automatic_question_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
contextualizing_hate_speech_classifiers_with_posthoc_explanation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
consistent_prototype_learning_for_fewshot_continual_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
efficiently_upgrading_multilingual_machine_translation_models_to_support_more_languages,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.111,sun-etal-2023-efficiently,"Simeng Sun, Maha Elbayad, Anna Sun, and James Cross. 2023. Efficiently Upgrading Multilingual Machine Translation Models to Support More Languages. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1513–1527, Dubrovnik, Croatia. Association for Computational Linguistics."
pevl_positionenhanced_pretraining_and_prompt_tuning_for_visionlanguage_models,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.763,yao-etal-2022-pevl,"Yuan Yao, Qianyu Chen, Ao Zhang, Wei Ji, Zhiyuan Liu, Tat-Seng Chua, and Maosong Sun. 2022. PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11104–11117, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
practical_computational_power_of_linear_transformers_and_their_recurrent_and_selfreferential_extensions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
s3hqa_a_threestage_approach_for_multihop_texttable_hybrid_question_answering,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.147,lei-etal-2023-s3hqa,"Fangyu Lei, Xiang Li, Yifan Wei, Shizhu He, Yiming Huang, Jun Zhao, and Kang Liu. 2023. S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1731–1740, Toronto, Canada. Association for Computational Linguistics."
fast_abstractive_summarization_with_reinforceselected_sentence_rewriting,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
archer_a_humanlabeled_texttosql_dataset_with_arithmetic_commonsense_and_hypothetical_reasoning,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.6,zheng-etal-2024-archer,"Danna Zheng, Mirella Lapata, and Jeff Pan. 2024. Archer: A Human-Labeled Text-to-SQL Dataset with Arithmetic, Commonsense and Hypothetical Reasoning. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 94–111, St. Julian’s, Malta. Association for Computational Linguistics."
learning_latent_structures_for_cross_action_phrase_relations_in_wet_lab_protocols,August,2021.0,,https://aclanthology.org/2021.acl-long.525,kulkarni-etal-2021-learning,"Chaitanya Kulkarni, Jany Chan, Eric Fosler-Lussier, and Raghu Machiraju. 2021. Learning Latent Structures for Cross Action Phrase Relations in Wet Lab Protocols. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 6737–6750, Online. Association for Computational Linguistics."
identifying_physical_object_use_in_sentences,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.781,jiang-riloff-2022-identifying,"Tianyu Jiang and Ellen Riloff. 2022. Identifying Physical Object Use in Sentences. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11362–11372, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
counterfactual_reasoning_with_knowledge_graph_embeddings,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.168,zellinger-etal-2024-counterfactual,"Lena Zellinger, Andreas Stephan, and Benjamin Roth. 2024. Counterfactual Reasoning with Knowledge Graph Embeddings. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2753–2772, St. Julian’s, Malta. Association for Computational Linguistics."
isarcasm_a_dataset_of_intended_sarcasm,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
chapter_ordering_in_novels,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.253,kim-skiena-2022-chapter,"Allen Kim and Steve Skiena. 2022. Chapter Ordering in Novels. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3838–3848, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
automatic_generation_of_citation_texts_in_scholarly_papers_a_pilot_study,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
annie_an_annotation_platform_for_constructing_complete_open_information_extraction_benchmark,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
syntactic_and_semantic_kernels_for_short_text_pair_categorization,March,2009.0,EACL,https://aclanthology.org/E09-1066,moschitti-2009-syntactic,"Alessandro Moschitti. 2009. Syntactic and Semantic Kernels for Short Text Pair Categorization. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 576–584, Athens, Greece. Association for Computational Linguistics."
generating_flexible_proper_name_references_in_text_data_models_and_evaluation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_nontransferable_text_classification,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.685,zeng-lu-2022-unsupervised,"Guangtao Zeng and Wei Lu. 2022. Unsupervised Non-transferable Text Classification. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10071–10084, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
label_efficient_semisupervised_conversational_intent_classification,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.11,kulkarni-etal-2023-label,"Mandar Kulkarni, Kyung Kim, Nikesh Garera, and Anusua Trivedi. 2023. Label efficient semi-supervised conversational intent classification. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 96–102, Toronto, Canada. Association for Computational Linguistics."
efficiently_tuned_parameters_are_task_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_stylistic_response_generation_with_disentangled_latent_variables,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
smedbert_a_knowledgeenhanced_pretrained_language_model_with_structured_semantics_for_medical_text_mining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fluency_boost_learning_and_inference_for_neural_grammatical_error_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_select_track_and_generate_for_datatotext,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mining_logical_event_schemas_from_pretrained_language_models,May,2022.0,ACL,https://aclanthology.org/2022.acl-srw.25,lawley-schubert-2022-mining,"Lane Lawley and Lenhart Schubert. 2022. Mining Logical Event Schemas From Pre-Trained Language Models. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 332–345, Dublin, Ireland. Association for Computational Linguistics."
on_the_calibration_of_pretrained_language_models_using_mixup_guided_by_area_under_the_margin_and_saliency,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fréchet_distance_for_offline_evaluation_of_information_retrieval_systems_with_sparse_labels,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.26,arabzadeh-clarke-2024-frechet,"Negar Arabzadeh and Charles Clarke. 2024. Fréchet Distance for Offline Evaluation of Information Retrieval Systems with Sparse Labels. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 420–431, St. Julian’s, Malta. Association for Computational Linguistics."
controllable_contrastive_generation_for_multilingual_biomedical_entity_linking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
probabilistic_model_for_syntactic_and_semantic_dependency_parsing,August,2008.0,CoNLL,https://aclanthology.org/W08-2139,chen-etal-2008-probabilistic,"Enhong Chen, Liu Shi, and Dawei Hu. 2008. Probabilistic Model for Syntactic and Semantic Dependency Parsing. In CoNLL 2008: Proceedings of the Twelfth Conference on Computational Natural Language Learning, pages 263–267, Manchester, England. Coling 2008 Organizing Committee."
comparing_characterlevel_neural_language_models_using_a_lexical_decision_task,April,2017.0,EACL,https://aclanthology.org/E17-2020,le-godais-etal-2017-comparing,"Gaël Le Godais, Tal Linzen, and Emmanuel Dupoux. 2017. Comparing Character-level Neural Language Models Using a Lexical Decision Task. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 125–130, Valencia, Spain. Association for Computational Linguistics."
super_tickets_in_pretrained_language_models_from_model_compression_to_improving_generalization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
phraseaware_unsupervised_constituency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
attentive_multiview_text_representation_for_differential_diagnosis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_abstract_for_memoryaugmented_conversational_response_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
joint_slot_filling_and_intent_detection_via_capsule_neural_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
combating_adversarial_misspellings_with_robust_word_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pretraining_intentaware_encoders_for_zero_and_fewshot_intent_classification,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.646,sung-etal-2023-pre,"Mujeen Sung, James Gung, Elman Mansimov, Nikolaos Pappas, Raphael Shu, Salvatore Romeo, Yi Zhang, and Vittorio Castelli. 2023. Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 10433–10442, Singapore. Association for Computational Linguistics."
predicting_the_role_of_political_trolls_in_social_media,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_art_of_abstention_selective_prediction_and_error_regularization_for_natural_language_processing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
educational_question_generation_of_children_storybooks_via_question_type_distribution_learning_and_eventcentric_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
openmeva_a_benchmark_for_evaluating_openended_story_generation_metrics,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pentodiaref_a_diagnostic_dataset_for_learning_the_incremental_algorithm_for_referring_expression_generation_from_examples,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.154,sadler-schlangen-2023-pento,"Philipp Sadler and David Schlangen. 2023. Pento-DIARef: A Diagnostic Dataset for Learning the Incremental Algorithm for Referring Expression Generation from Examples. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2106–2122, Dubrovnik, Croatia. Association for Computational Linguistics."
defending_against_disinformation_attacks_in_opendomain_question_answering,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.35,weller-etal-2024-defending,"Orion Weller, Aleem Khan, Nathaniel Weir, Dawn Lawrie, and Benjamin Van Durme. 2024. Defending Against Disinformation Attacks in Open-Domain Question Answering. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 402–417, St. Julian’s, Malta. Association for Computational Linguistics."
adaptive_mixed_component_lda_for_low_resource_topic_modeling,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.209,sia-duh-2021-adaptive,"Suzanna Sia and Kevin Duh. 2021. Adaptive Mixed Component LDA for Low Resource Topic Modeling. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2451–2469, Online. Association for Computational Linguistics."
towards_effective_automatic_debt_collection_with_persona_awareness,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.4,zhang-etal-2023-towards-effective,"Tong Zhang, Junhong Liu, Chen Huang, Jia Liu, Hongru Liang, Zujie Wen, and Wenqiang Lei. 2023. Towards Effective Automatic Debt Collection with Persona Awareness. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 32–45, Singapore. Association for Computational Linguistics."
the_lowdimensional_linear_geometry_of_contextualized_word_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_lowresource_finegrained_named_entity_recognition_by_leveraging_coarsegrained_datasets,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
successive_prompting_for_decomposing_complex_questions,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.81,dua-etal-2022-successive,"Dheeru Dua, Shivanshu Gupta, Sameer Singh, and Matt Gardner. 2022. Successive Prompting for Decomposing Complex Questions. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1251–1265, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
embspatialbench_benchmarking_spatial_understanding_for_embodied_tasks_with_large_visionlanguage_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_wsdlike_constraints_for_paraphrase_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
chainofthought_tuning_masked_language_models_can_also_think_step_by_step_in_natural_language_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_gradient_tradeoffs_between_tasks_in_multitask_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
synthdst_synthetic_data_is_all_you_need_for_fewshot_dialog_state_tracking,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.120,kulkarni-etal-2024-synthdst,"Atharva Kulkarni, Bo-Hsiang Tseng, Joel Ruben Antony Moniz, Dhivya Piraviperumal, Hong Yu, and Shruti Bhargava. 2024. SynthDST: Synthetic Data is All You Need for Few-Shot Dialog State Tracking. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1988–2001, St. Julian’s, Malta. Association for Computational Linguistics."
efficient_shapley_values_estimation_by_amortization_for_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hallucination_detection_for_generative_large_language_models_by_bayesian_sequential_estimation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.949,wang-etal-2023-hallucination,"Xiaohua Wang, Yuliang Yan, Longtao Huang, Xiaoqing Zheng, and Xuanjing Huang. 2023. Hallucination Detection for Generative Large Language Models by Bayesian Sequential Estimation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15361–15371, Singapore. Association for Computational Linguistics."
finding_the_sweet_spot_analysis_and_improvement_of_adaptive_inference_in_low_resource_settings,July,2023.0,ACL,https://aclanthology.org/2023.acl-long.829,rotem-etal-2023-finding,"Daniel Rotem, Michael Hassid, Jonathan Mamou, and Roy Schwartz. 2023. Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 14836–14851, Toronto, Canada. Association for Computational Linguistics."
can_transformer_models_measure_coherence_in_text_rethinking_the_shuffle_test,August,2021.0,,https://aclanthology.org/2021.acl-short.134,laban-etal-2021-transformer,"Philippe Laban, Luke Dai, Lucas Bandarkar, and Marti A. Hearst. 2021. Can Transformer Models Measure Coherence In Text: Re-Thinking the Shuffle Test. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 1058–1064, Online. Association for Computational Linguistics."
learning_representations_from_imperfect_time_series_data_via_tensor_rank_regularization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
effective_attention_modeling_for_neural_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
transfer_learning_based_freeform_speech_command_classification_for_lowresource_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_attentive_bagofentities_model_for_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
chinese_lexical_substitution_dataset_and_method,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
text_simplification_with_reinforcement_learning_using_supervised_rewards_on_grammaticality_meaning_preservation_and_simplicity,December,2020.0,AACL,https://aclanthology.org/2020.aacl-srw.22,nakamachi-etal-2020-text,"Akifumi Nakamachi, Tomoyuki Kajiwara, and Yuki Arase. 2020. Text Simplification with Reinforcement Learning Using Supervised Rewards on Grammaticality, Meaning Preservation, and Simplicity. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: Student Research Workshop, pages 153–159, Suzhou, China. Association for Computational Linguistics."
automatic_debate_evaluation_with_argumentation_semantics_and_natural_language_argument_graph_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_statistical_and_neural_models_for_noun_ellipsis_detection_and_resolution_in_english,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reasoning_implicit_sentiment_with_chainofthought_prompting,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.101,fei-etal-2023-reasoning,"Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li, and Tat-Seng Chua. 2023. Reasoning Implicit Sentiment with Chain-of-Thought Prompting. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1171–1182, Toronto, Canada. Association for Computational Linguistics."
multitask_retrieval_for_knowledgeintensive_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_unsupervised_generative_dependency_parser_with_contextual_information,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
probing_for_the_usage_of_grammatical_number,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
clex_a_lexicon_for_exploring_color_concept_and_emotion_associations_in_language,April,2012.0,EACL,https://aclanthology.org/E12-1031,volkova-etal-2012-clex,"Svitlana Volkova, William B. Dolan, and Theresa Wilson. 2012. CLex: A Lexicon for Exploring Color, Concept and Emotion Associations in Language. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 306–314, Avignon, France. Association for Computational Linguistics."
the_statistical_advantage_of_automatic_nlg_metrics_at_the_system_level,August,2021.0,,https://aclanthology.org/2021.acl-long.533,wei-jia-2021-statistical,"Johnny Wei and Robin Jia. 2021. The statistical advantage of automatic NLG metrics at the system level. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 6840–6854, Online. Association for Computational Linguistics."
analyzing_multihead_selfattention_specialized_heads_do_the_heavy_lifting_the_rest_can_be_pruned,July,2019.0,ACL,https://aclanthology.org/P19-1580,voita-etal-2019-analyzing,"Elena Voita, David Talbot, Fedor Moiseev, Rico Sennrich, and Ivan Titov. 2019. Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 5797–5808, Florence, Italy. Association for Computational Linguistics."
presto_a_multilingual_dataset_for_parsing_realistic_taskoriented_dialogs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_benefits_of_bad_advice_autocontrastive_decoding_across_model_layers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
leco_improving_early_exiting_via_learned_exits_and_comparisonbased_exiting_mechanism,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
molca_molecular_graphlanguage_modeling_with_crossmodal_projector_and_unimodal_adapter,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.966,liu-etal-2023-molca,"Zhiyuan Liu, Sihang Li, Yanchen Luo, Hao Fei, Yixin Cao, Kenji Kawaguchi, Xiang Wang, and Tat-Seng Chua. 2023. MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15623–15638, Singapore. Association for Computational Linguistics."
improving_compositional_generalization_with_selftraining_for_datatotext_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neustip_a_neurosymbolic_model_for_link_and_time_prediction_in_temporal_knowledge_graphs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
let_me_choose_from_verbal_context_to_font_selection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
energy_and_policy_considerations_for_deep_learning_in_nlp,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
noisy_exemplars_make_large_language_models_more_robust_a_domainagnostic_behavioral_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_a_unified_multidomain_multilingual_named_entity_recognition_model,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.161,kulkarni-etal-2023-towards,"Mayank Kulkarni, Daniel Preotiuc-Pietro, Karthik Radhakrishnan, Genta Indra Winata, Shijie Wu, Lingjue Xie, and Shaohua Yang. 2023. Towards a Unified Multi-Domain Multilingual Named Entity Recognition Model. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2210–2219, Dubrovnik, Croatia. Association for Computational Linguistics."
xlmd_decorate_crosslingual_pretraining_model_as_nonautoregressive_neural_machine_translation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.466,wang-etal-2022-xlm,"Yong Wang, Shilin He, Guanhua Chen, Yun Chen, and Daxin Jiang. 2022. XLM-D: Decorate Cross-lingual Pre-training Model as Non-Autoregressive Neural Machine Translation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6934–6946, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
a_reevaluation_of_knowledge_graph_completion_methods,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
analyzing_challenges_in_neural_machine_translation_for_software_localization,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.179,koneru-etal-2023-analyzing,"Sai Koneru, Matthias Huck, Miriam Exel, and Jan Niehues. 2023. Analyzing Challenges in Neural Machine Translation for Software Localization. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2442–2454, Dubrovnik, Croatia. Association for Computational Linguistics."
open_domain_event_extraction_using_neural_latent_variable_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
graphbased_multilingual_label_propagation_for_lowresource_partofspeech_tagging,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.102,imanigooghari-etal-2022-graph,"Ayyoob Imani, Silvia Severini, Masoud Jalili Sabet, François Yvon, and Hinrich Schütze. 2022. Graph-Based Multilingual Label Propagation for Low-Resource Part-of-Speech Tagging. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1577–1589, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
bridging_cnns_rnns_and_weighted_finitestate_machines,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
active_learning_for_interactive_machine_translation,April,2012.0,EACL,https://aclanthology.org/E12-1025,gonzalez-rubio-etal-2012-active,"Jesús González-Rubio, Daniel Ortiz-Martínez, and Francisco Casacuberta. 2012. Active learning for interactive machine translation. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 245–254, Avignon, France. Association for Computational Linguistics."
todflow_modeling_the_structure_of_taskoriented_dialogues,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluating_pretrained_sentencebert_with_class_embeddings_in_active_learning_for_multilabel_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
coordinate_constructions_in_english_enhanced_universal_dependencies_analysis_and_computational_modeling,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.67,grunewald-etal-2021-coordinate,"Stefan Grünewald, Prisca Piccirilli, and Annemarie Friedrich. 2021. Coordinate Constructions in English Enhanced Universal Dependencies: Analysis and Computational Modeling. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 795–809, Online. Association for Computational Linguistics."
efficient_largescale_neural_domain_classification_with_personalized_attention,July,2018.0,ACL,https://aclanthology.org/P18-1206,kim-etal-2018-efficient,"Young-Bum Kim, Dongchan Kim, Anjishnu Kumar, and Ruhi Sarikaya. 2018. Efficient Large-Scale Neural Domain Classification with Personalized Attention. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2214–2224, Melbourne, Australia. Association for Computational Linguistics."
when_do_decompositions_help_for_machine_reading,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
poisoning_retrieval_corpora_by_injecting_adversarial_passages,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.849,zhong-etal-2023-poisoning,"Zexuan Zhong, Ziqing Huang, Alexander Wettig, and Danqi Chen. 2023. Poisoning Retrieval Corpora by Injecting Adversarial Passages. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13764–13775, Singapore. Association for Computational Linguistics."
sentiment_propagation_via_implicature_constraints,April,2014.0,EACL,https://aclanthology.org/E14-1040,deng-wiebe-2014-sentiment,"Lingjia Deng and Janyce Wiebe. 2014. Sentiment Propagation via Implicature Constraints. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 377–385, Gothenburg, Sweden. Association for Computational Linguistics."
targeted_data_generation_finding_and_fixing_model_weaknesses,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ethics_consideration_sections_in_natural_language_processing_papers,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.299,benotti-blackburn-2022-ethics,"Luciana Benotti and Patrick Blackburn. 2022. Ethics consideration sections in natural language processing papers. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4509–4516, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
greed_is_all_you_need_an_evaluation_of_tokenizer_inference_methods,August,2024.0,ACL,https://aclanthology.org/2024.acl-short.73,uzan-etal-2024-greed,"Omri Uzan, Craig W. Schmidt, Chris Tanner, and Yuval Pinter. 2024. Greed is All You Need: An Evaluation of Tokenizer Inference Methods. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 813–822, Bangkok, Thailand. Association for Computational Linguistics."
an_empirical_study_on_hyperparameter_optimization_for_finetuning_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dont_take_the_premise_for_granted_mitigating_artifacts_in_natural_language_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_word_alignment_using_linguistic_code_switching_data,April,2014.0,EACL,https://aclanthology.org/E14-1001,huang-yates-2014-improving,"Fei Huang and Alexander Yates. 2014. Improving Word Alignment Using Linguistic Code Switching Data. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 1–9, Gothenburg, Sweden. Association for Computational Linguistics."
ditch_the_gold_standard_reevaluating_conversational_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mvptuning_multiview_knowledge_retrieval_with_prompt_tuning_for_commonsense_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
finegrained_classification_of_named_entities_exploiting_latent_semantic_kernels,June,2009.0,CoNLL,https://aclanthology.org/W09-1125,giuliano-2009-fine,"Claudio Giuliano. 2009. Fine-Grained Classification of Named Entities Exploiting Latent Semantic Kernels. In Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL-2009), pages 201–209, Boulder, Colorado. Association for Computational Linguistics."
robust_representation_learning_of_biomedical_names,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
zelda_a_comprehensive_benchmark_for_supervised_entity_disambiguation,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.151,milich-akbik-2023-zelda,"Marcel Milich and Alan Akbik. 2023. ZELDA: A Comprehensive Benchmark for Supervised Entity Disambiguation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2061–2072, Dubrovnik, Croatia. Association for Computational Linguistics."
bert_shows_garden_path_effects,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.235,irwin-etal-2023-bert,"Tovah Irwin, Kyra Wilson, and Alec Marantz. 2023. BERT Shows Garden Path Effects. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3220–3232, Dubrovnik, Croatia. Association for Computational Linguistics."
eelbert_tiny_models_through_dynamic_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
do_neural_dialog_systems_use_the_conversation_history_effectively_an_empirical_study,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
simple_maximum_entropy_models_for_multilingual_coreference_resolution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_probabilistic_generative_grammar_for_semantic_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_annotation_scheme_for_free_word_order_languages,March,1997.0,ANLP,https://aclanthology.org/A97-1014,skut-etal-1997-annotation,"Wojciech Skut, Brigitte Krenn, Thorsten Brants, and Hans Uszkoreit. 1997. An Annotation Scheme for Free Word Order Languages. In Fifth Conference on Applied Natural Language Processing, pages 88–95, Washington, DC, USA. Association for Computational Linguistics."
doolittle_benchmarks_and_corpora_for_academic_writing_formalization,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.809,diao-etal-2023-doolittle,"Shizhe Diao, Yongyu Lei, Liangming Pan, Tianqing Fang, Wangchunshu Zhou, Sedrick Keh, Min-Yen Kan, and Tong Zhang. 2023. Doolittle: Benchmarks and Corpora for Academic Writing Formalization. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13093–13111, Singapore. Association for Computational Linguistics."
linguisticallybased_deep_unstructured_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
peas_the_first_instantiation_of_a_comparative_framework_for_evaluating_parsers_of_french,April,2003.0,EACL,https://aclanthology.org/E03-1085,gendner-etal-2003-peas,"Véronique Gendner, Gabriel Illouz, Michèle Jardino, Laura Monceaux, Patrick Paroubek, Isabelle Robba, and Anne Vilnat. 2003. PEAS, the first instantiation of a comparative framework for evaluating parsers of French. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
whispering_llama_a_crossmodal_generative_error_correction_framework_for_speech_recognition,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.618,radhakrishnan-etal-2023-whispering,"Srijith Radhakrishnan, Chao-Han Yang, Sumeer Khan, Rohit Kumar, Narsis Kiani, David Gomez-Cabrero, and Jesper Tegnér. 2023. Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 10007–10016, Singapore. Association for Computational Linguistics."
confidence_estimation_for_translation_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
checkpoint_reranking_an_approach_to_select_better_hypothesis_for_neural_machine_translation_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multiscale_collaborative_deep_models_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rethinking_wordlevel_autocompletion_in_computeraided_translation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.952,chen-etal-2023-rethinking,"Xingyu Chen, Lemao Liu, Guoping Huang, Zhirui Zhang, Mingming Yang, Shuming Shi, and Rui Wang. 2023. Rethinking Word-Level Auto-Completion in Computer-Aided Translation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15405–15415, Singapore. Association for Computational Linguistics."
modeling_language_usage_and_listener_engagement_in_podcasts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
combining_manual_rules_and_supervised_learning_for_hedge_cue_and_scope_detection,July,2010.0,CoNLL,https://aclanthology.org/W10-3008,rei-briscoe-2010-combining,"Marek Rei and Ted Briscoe. 2010. Combining Manual Rules and Supervised Learning for Hedge Cue and Scope Detection. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task, pages 56–63, Uppsala, Sweden. Association for Computational Linguistics."
deception_detection_in_russian_texts,April,2017.0,EACL,https://aclanthology.org/E17-4005,litvinova-etal-2017-deception,"Olga Litvinova, Pavel Seredin, Tatiana Litvinova, and John Lyell. 2017. Deception detection in Russian texts. In Proceedings of the Student Research Workshop at the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 43–52, Valencia, Spain. Association for Computational Linguistics."
crosslingual_contrastive_learning_for_finegrained_entity_typing_for_lowresource_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multihop_reading_comprehension_through_question_decomposition_and_rescoring,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tagprime_a_unified_framework_for_relational_structure_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
environmental_claim_detection,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.91,stammbach-etal-2023-environmental,"Dominik Stammbach, Nicolas Webersinke, Julia Bingler, Mathias Kraus, and Markus Leippold. 2023. Environmental Claim Detection. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1051–1066, Toronto, Canada. Association for Computational Linguistics."
targetbased_offensive_language_identification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
characterizing_and_measuring_linguistic_dataset_drift,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
joint_satisfaction_of_syntactic_and_pragmatic_constraints_improves_incremental_spoken_language_understanding,April,2012.0,EACL,https://aclanthology.org/E12-1052,peldszus-etal-2012-joint,"Andreas Peldszus, Okko Buß, Timo Baumann, and David Schlangen. 2012. Joint Satisfaction of Syntactic and Pragmatic Constraints Improves Incremental Spoken Language Understanding. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 514–523, Avignon, France. Association for Computational Linguistics."
lingxi_a_diversityaware_chinese_modern_poetry_generation_system,July,2023.0,ACL,https://aclanthology.org/2023.acl-demo.6,zhang-etal-2023-lingxi,"Xinran Zhang, Maosong Sun, Jiafeng Liu, and Xiaobing Li. 2023. Lingxi: A Diversity-aware Chinese Modern Poetry Generation System. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 63–75, Toronto, Canada. Association for Computational Linguistics."
tecs_a_dataset_and_benchmark_for_tense_consistency_of_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_multiturn_emotional_support_dialogue_generation_with_lookahead_strategy_planning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
from_multilingual_complexity_to_emotional_clarity_leveraging_commonsense_to_unveil_emotions_in_codemixed_dialogues,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.598,kumar-etal-2023-multilingual,"Shivani Kumar, Ramaneswaran S, Md Akhtar, and Tanmoy Chakraborty. 2023. From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed Dialogues. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 9638–9652, Singapore. Association for Computational Linguistics."
mitigating_spurious_correlation_in_natural_language_understanding_with_counterfactual_inference,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.777,udomcharoenchaikit-etal-2022-mitigating,"Can Udomcharoenchaikit, Wuttikorn Ponwitayarat, Patomporn Payoungkhamdee, Kanruethai Masuk, Weerayut Buaphet, Ekapol Chuangsuwanich, and Sarana Nutanong. 2022. Mitigating Spurious Correlation in Natural Language Understanding with Counterfactual Inference. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11308–11321, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
explainmeetsum_a_dataset_for_explainable_meeting_summarization_aligned_with_human_intent,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bottomup_constituency_parsing_and_nested_named_entity_recognition_with_pointer_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
inspecting_the_structural_biases_of_dependency_parsing_algorithms,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
seqvat_virtual_adversarial_training_for_semisupervised_sequence_labeling,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.777,chen-etal-2020-seqvat,"Luoxin Chen, Weitong Ruan, Xinyue Liu, and Jianhua Lu. 2020. SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8801–8811, Online. Association for Computational Linguistics."
relclip_adapting_languageimage_pretraining_for_visual_relationship_detection_via_relational_contrastive_learning,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.317,zhu-etal-2022-relclip,"Yi Zhu, Zhaoqing Zhu, Bingqian Lin, Xiaodan Liang, Feng Zhao, and Jianzhuang Liu. 2022. RelCLIP: Adapting Language-Image Pretraining for Visual Relationship Detection via Relational Contrastive Learning. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4800–4810, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
conversational_graph_grounded_policy_learning_for_opendomain_conversation_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
knowledge_diffusion_for_neural_dialogue_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
chatgpt_to_replace_crowdsourcing_of_paraphrases_for_intent_classification_higher_diversity_and_comparable_model_robustness,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_treetostring_phrasebased_model_for_statistical_machine_translation,August,2008.0,CoNLL,https://aclanthology.org/W08-2119,nguyen-etal-2008-tree,"Thai Phuong Nguyen, Akira Shimazu, Tu-Bao Ho, Minh Le Nguyen, and Vinh Van Nguyen. 2008. A Tree-to-String Phrase-based Model for Statistical Machine Translation. In CoNLL 2008: Proceedings of the Twelfth Conference on Computational Natural Language Learning, pages 143–150, Manchester, England. Coling 2008 Organizing Committee."
bridging_the_data_gap_between_training_and_inference_for_unsupervised_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sequential_labeling_with_latent_variables_an_exact_inference_algorithm_and_its_efficient_approximation,March,2009.0,EACL,https://aclanthology.org/E09-1088,sun-tsujii-2009-sequential,"Xu Sun and Jun’ichi Tsujii. 2009. Sequential Labeling with Latent Variables: An Exact Inference Algorithm and its Efficient Approximation. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 772–780, Athens, Greece. Association for Computational Linguistics."
explicit_query_rewriting_for_conversational_dense_retrieval,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.311,qian-dou-2022-explicit,"Hongjin Qian and Zhicheng Dou. 2022. Explicit Query Rewriting for Conversational Dense Retrieval. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4725–4737, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
revisiting_the_optimality_of_word_lengths,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
comblm_adapting_blackbox_language_models_through_small_finetuned_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
align_voting_behavior_with_public_statements_for_legislator_representation_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_stylometric_inquiry_into_hyperpartisan_and_fake_news,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_incremental_parser_for_abstract_meaning_representation,April,2017.0,EACL,https://aclanthology.org/E17-1051,damonte-etal-2017-incremental,"Marco Damonte, Shay B. Cohen, and Giorgio Satta. 2017. An Incremental Parser for Abstract Meaning Representation. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 536–546, Valencia, Spain. Association for Computational Linguistics."
grammar_development_in_gf,April,2009.0,EACL,https://aclanthology.org/E09-2015,ranta-etal-2009-grammar,"Aarne Ranta, Krasimir Angelov, and Björn Bringert. 2009. Grammar Development in GF. In Proceedings of the Demonstrations Session at EACL 2009, pages 57–60, Athens, Greece. Association for Computational Linguistics."
learning_disentangled_semantic_representations_for_zeroshot_crosslingual_transfer_in_multilingual_machine_reading_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
templatebased_question_generation_from_retrieved_sentences_for_improved_unsupervised_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
texttosql_error_correction_with_language_models_of_code,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_authenticity_gap_in_human_evaluation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.406,ethayarajh-jurafsky-2022-authenticity,"Kawin Ethayarajh and Dan Jurafsky. 2022. The Authenticity Gap in Human Evaluation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6056–6070, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
a_dataset_for_multitarget_stance_detection,April,2017.0,EACL,https://aclanthology.org/E17-2088,sobhani-etal-2017-dataset,"Parinaz Sobhani, Diana Inkpen, and Xiaodan Zhu. 2017. A Dataset for Multi-Target Stance Detection. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 551–557, Valencia, Spain. Association for Computational Linguistics."
semantic_role_labeling_via_consensus_in_patternmatching,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
beyond_prompting_making_pretrained_language_models_better_zeroshot_learners_by_clustering_representations,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.587,fei-etal-2022-beyond,"Yu Fei, Zhao Meng, Ping Nie, Roger Wattenhofer, and Mrinmaya Sachan. 2022. Beyond prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8560–8579, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
what_does_bert_learn_about_the_structure_of_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
beyond_bleu_training_neural_machine_translation_with_semantic_similarity,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
polite_chatbot_a_text_style_transfer_application,May,2023.0,EACL,https://aclanthology.org/2023.eacl-srw.9,mukherjee-etal-2023-polite,"Sourabrata Mukherjee, Vojtěch Hudeček, and Ondřej Dušek. 2023. Polite Chatbot: A Text Style Transfer Application. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 87–93, Dubrovnik, Croatia. Association for Computational Linguistics."
tackling_error_propagation_through_reinforcement_learning_a_case_of_greedy_dependency_parsing,April,2017.0,EACL,https://aclanthology.org/E17-1064,le-fokkens-2017-tackling,"Minh Lê and Antske Fokkens. 2017. Tackling Error Propagation through Reinforcement Learning: A Case of Greedy Dependency Parsing. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 677–687, Valencia, Spain. Association for Computational Linguistics."
propres_investigating_the_projectivity_of_presupposition_with_various_triggers_and_environments,December,2023.0,CoNLL,https://aclanthology.org/2023.conll-1.9,asami-sugawara-2023-propres,"Daiki Asami and Saku Sugawara. 2023. PROPRES: Investigating the Projectivity of Presupposition with Various Triggers and Environments. In Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL), pages 122–137, Singapore. Association for Computational Linguistics."
roll_call_vote_prediction_with_knowledge_augmented_models,November,2019.0,CoNLL,https://aclanthology.org/K19-1053,patil-etal-2019-roll,"Pallavi Patil, Kriti Myer, Ronak Zala, Arpit Singh, Sheshera Mysore, Andrew McCallum, Adrian Benton, and Amanda Stent. 2019. Roll Call Vote Prediction with Knowledge Augmented Models. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 574–581, Hong Kong, China. Association for Computational Linguistics."
cohesentia_a_novel_benchmark_of_incremental_versus_holistic_assessment_of_coherence_in_generated_texts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
graphinduced_transformers_for_efficient_multihop_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
prototypical_verbalizer_for_promptbased_fewshot_tuning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
progressive_selfsupervised_attention_learning_for_aspectlevel_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
openprompt_an_opensource_framework_for_promptlearning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mrc_examples_answerable_by_bert_without_a_question_are_less_effective_in_mrc_model_training,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
controllable_text_simplification_with_lexical_constraint_loss,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_parsing_for_generating_surfacebased_relation_extraction_patterns,April,2014.0,EACL,https://aclanthology.org/E14-4020,illig-etal-2014-unsupervised,"Jens Illig, Benjamin Roth, and Dietrich Klakow. 2014. Unsupervised Parsing for Generating Surface-Based Relation Extraction Patterns. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 100–105, Gothenburg, Sweden. Association for Computational Linguistics."
continual_contrastive_finetuning_improves_lowresource_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
answering_opendomain_multianswer_questions_via_a_recallthenverify_framework,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
when_do_pretraining_biases_propagate_to_downstream_tasks_a_case_study_in_text_summarization,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.234,ladhak-etal-2023-pre,"Faisal Ladhak, Esin Durmus, Mirac Suzgun, Tianyi Zhang, Dan Jurafsky, Kathleen McKeown, and Tatsunori Hashimoto. 2023. When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3206–3219, Dubrovnik, Croatia. Association for Computational Linguistics."
unsupervised_tokenization_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gender_bias_amplification_during_speedquality_optimization_in_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
xfact_a_new_benchmark_dataset_for_multilingual_fact_checking,August,2021.0,,https://aclanthology.org/2021.acl-short.86,gupta-srikumar-2021-x,"Ashim Gupta and Vivek Srikumar. 2021. X-Fact: A New Benchmark Dataset for Multilingual Fact Checking. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 675–682, Online. Association for Computational Linguistics."
samrank_unsupervised_keyphrase_extraction_using_selfattention_map_in_bert_and_gpt2,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.630,kang-shin-2023-samrank,"Byungha Kang and Youhyun Shin. 2023. SAMRank: Unsupervised Keyphrase Extraction using Self-Attention Map in BERT and GPT-2. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 10188–10201, Singapore. Association for Computational Linguistics."
simple_interpretable_and_stable_method_for_detecting_words_with_usage_change_across_corpora,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multivariate_gaussian_document_representation_from_word_embeddings_for_text_categorization,April,2017.0,EACL,https://aclanthology.org/E17-2072,nikolentzos-etal-2017-multivariate,"Giannis Nikolentzos, Polykarpos Meladianos, François Rousseau, Yannis Stavrakas, and Michalis Vazirgiannis. 2017. Multivariate Gaussian Document Representation from Word Embeddings for Text Categorization. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 450–455, Valencia, Spain. Association for Computational Linguistics."
reconstructing_the_house_from_the_ad_structured_prediction_on_real_estate_classifieds,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
topro_tokenlevel_prompt_decomposition_for_crosslingual_sequence_labeling_tasks,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.164,ma-etal-2024-topro,"Bolei Ma, Ercong Nie, Shuzhou Yuan, Helmut Schmid, Michael Färber, Frauke Kreuter, and Hinrich Schuetze. 2024. ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2685–2702, St. Julian’s, Malta. Association for Computational Linguistics."
controllable_paraphrase_generation_with_a_syntactic_exemplar,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
joint_coreference_resolution_and_character_linking_for_multiparty_conversation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.43,bai-etal-2021-joint,"Jiaxin Bai, Hongming Zhang, Yangqiu Song, and Kun Xu. 2021. Joint Coreference Resolution and Character Linking for Multiparty Conversation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 539–548, Online. Association for Computational Linguistics."
polyco_a_multilayer_perceptron_approach_for_coreference_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pretrainingbased_natural_language_generation_for_text_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lavis_a_onestop_library_for_languagevision_intelligence,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
characterbased_pivot_translation_for_underresourced_languages_and_domains,April,2012.0,EACL,https://aclanthology.org/E12-1015,tiedemann-2012-character,"Jörg Tiedemann. 2012. Character-Based Pivot Translation for Under-Resourced Languages and Domains. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 141–151, Avignon, France. Association for Computational Linguistics."
logical_inferences_with_comparatives_and_generalized_quantifiers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
boosting_lowresource_biomedical_qa_via_entityaware_masking_strategies,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.169,pergola-etal-2021-boosting,"Gabriele Pergola, Elena Kochkina, Lin Gui, Maria Liakata, and Yulan He. 2021. Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1977–1985, Online. Association for Computational Linguistics."
disentangling_dialects_a_neural_approach_to_indoaryan_historical_phonology_and_subgrouping,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
understanding_multimodal_procedural_knowledge_by_sequencing_multimodal_instructional_manuals,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
supervised_treebank_conversion_data_and_approaches,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tokenlevel_selfevolution_training_for_sequencetosequence_learning,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.73,peng-etal-2023-token,"Keqin Peng, Liang Ding, Qihuang Zhong, Yuanxin Ouyang, Wenge Rong, Zhang Xiong, and Dacheng Tao. 2023. Token-Level Self-Evolution Training for Sequence-to-Sequence Learning. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 841–850, Toronto, Canada. Association for Computational Linguistics."
hitachi_at_mrp_2020_texttographnotation_transducer,November,2020.0,CoNLL,https://aclanthology.org/2020.conll-shared.4,ozaki-etal-2020-hitachi,"Hiroaki Ozaki, Gaku Morio, Yuta Koreeda, Terufumi Morishita, and Toshinori Miyoshi. 2020. Hitachi at MRP 2020: Text-to-Graph-Notation Transducer. In Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing, pages 40–52, Online. Association for Computational Linguistics."
answer_sentence_retrieval_by_matching_dependency_paths_acquired_from_questionanswer_sentence_pairs,April,2012.0,EACL,https://aclanthology.org/E12-1010,kaisser-2012-answer,"Michael Kaisser. 2012. Answer Sentence Retrieval by Matching Dependency Paths acquired from Question/Answer Sentence Pairs. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 88–98, Avignon, France. Association for Computational Linguistics."
improving_gender_fairness_of_pretrained_language_models_without_catastrophic_forgetting,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semantic_role_labeling_via_tree_kernel_joint_inference,June,2006.0,CoNLL,https://aclanthology.org/W06-2909,moschitti-etal-2006-semantic,"Alessandro Moschitti, Daniele Pighin, and Roberto Basili. 2006. Semantic Role Labeling via Tree Kernel Joint Inference. In Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X), pages 61–68, New York City. Association for Computational Linguistics."
a_multilingual_multitask_architecture_for_lowresource_sequence_labeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
using_adversarial_attacks_to_reveal_the_statistical_bias_in_machine_reading_comprehension_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
optimized_tokenization_for_transcribed_error_correction,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.802,wullach-chazan-2023-optimized,"Tomer Wullach and Shlomo Chazan. 2023. Optimized Tokenization for Transcribed Error Correction. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12988–12997, Singapore. Association for Computational Linguistics."
fantastic_questions_and_where_to_find_them_fairytaleqa__an_authentic_dataset_for_narrative_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
domain_adaptive_dialog_generation_via_meta_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_translation_quality_estimation_with_bias_mitigation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dna_denoised_neighborhood_aggregation_for_finegrained_category_discovery,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.756,an-etal-2023-dna,"Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Qinghua Zheng, QianYing Wang, and Ping Chen. 2023. DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12292–12302, Singapore. Association for Computational Linguistics."
expressing_visual_relationships_via_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_phonemelevel_speech_representations_for_endtoend_speech_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
parameterefficient_transfer_learning_with_diff_pruning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generation_distillation_and_evaluation_of_motivational_interviewingstyle_reflections_with_a_foundational_language_model,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.75,brown-etal-2024-generation,"Andrew Brown, Jiading Zhu, Mohamed Abdelwahab, Alec Dong, Cindy Wang, and Jonathan Rose. 2024. Generation, Distillation and Evaluation of Motivational Interviewing-Style Reflections with a Foundational Language Model. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1241–1252, St. Julian’s, Malta. Association for Computational Linguistics."
modelagnostic_metalearning_for_relation_classification_with_limited_supervision,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatic_evaluation_and_analysis_of_idioms_in_neural_machine_translation,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.267,baziotis-etal-2023-automatic,"Christos Baziotis, Prashant Mathur, and Eva Hasler. 2023. Automatic Evaluation and Analysis of Idioms in Neural Machine Translation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3682–3700, Dubrovnik, Croatia. Association for Computational Linguistics."
evaluation_of_thematic_coherence_in_microblogs,August,2021.0,,https://aclanthology.org/2021.acl-long.530,bilal-etal-2021-evaluation,"Iman Munire Bilal, Bo Wang, Maria Liakata, Rob Procter, and Adam Tsakalidis. 2021. Evaluation of Thematic Coherence in Microblogs. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 6800–6814, Online. Association for Computational Linguistics."
nope_a_corpus_of_naturallyoccurring_presuppositions_in_english,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
finetuning_pretrained_transformers_into_decaying_fast_weights,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.697,mao-2022-fine,"Huanru Henry Mao. 2022. Fine-Tuning Pre-trained Transformers into Decaying Fast Weights. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10236–10242, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
squality_building_a_longdocument_summarization_dataset_the_hard_way,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_multistep_reasoning_by_solving_arithmetic_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
m2df_multigrained_multicurriculum_denoising_framework_for_multimodal_aspectbased_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reforging__a_method_for_constructing_a_linguistically_valid_japanese_ccg_treebank,March,2024.0,EACL,https://aclanthology.org/2024.eacl-srw.14,tomita-etal-2024-reforging,"Asa Tomita, Hitomi Yanaka, and Daisuke Bekki. 2024. Reforging : A Method for Constructing a Linguistically Valid Japanese CCG Treebank. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 196–207, St. Julian’s, Malta. Association for Computational Linguistics."
about_inferences_in_a_crowdsourced_lexicalsemantic_network,April,2014.0,EACL,https://aclanthology.org/E14-1019,lafourcade-etal-2014-inferences,"Mathieu Lafourcade, Manel Zarrouk, and Alain Joubert. 2014. About Inferences in a Crowdsourced Lexical-Semantic Network. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 174–182, Gothenburg, Sweden. Association for Computational Linguistics."
whats_in_the_box_an_analysis_of_undesirable_content_in_the_common_crawl_corpus,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generating_commonsense_explanation_by_extracting_bridge_concepts_from_reasoning_paths,December,2020.0,AACL,https://aclanthology.org/2020.aacl-main.28,ji-etal-2020-generating,"Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, and Minlie Huang. 2020. Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, pages 248–257, Suzhou, China. Association for Computational Linguistics."
trillion_dollar_words_a_new_financial_dataset_task__market_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tableformer_robust_transformer_modeling_for_tabletext_encoding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
relation_extraction_with_explanation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
amazon_at_mrp_2019_parsing_meaning_representations_with_lexical_and_phrasal_anchoring,November,2019.0,CoNLL,https://aclanthology.org/K19-2013,cao-etal-2019-amazon,"Jie Cao, Yi Zhang, Adel Youssef, and Vivek Srikumar. 2019. Amazon at MRP 2019: Parsing Meaning Representations with Lexical and Phrasal Anchoring. In Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning, pages 138–148, Hong Kong. Association for Computational Linguistics."
scheduled_sampling_for_transformers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
attacking_visual_language_grounding_with_adversarial_examples_a_case_study_on_neural_image_captioning,July,2018.0,ACL,https://aclanthology.org/P18-1241,chen-etal-2018-attacking,"Hongge Chen, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, and Cho-Jui Hsieh. 2018. Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2587–2597, Melbourne, Australia. Association for Computational Linguistics."
characterlevel_models_versus_morphology_in_semantic_role_labeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fewshot_representation_learning_for_outofvocabulary_words,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
jaspice_automatic_evaluation_metric_using_predicateargument_structures_for_image_captioning_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
advaug_robust_adversarial_augmentation_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_better_characterization_of_paraphrases,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
xmg__an_expressive_formalism_for_describing_treebased_grammars,,2006.0,EACL,https://aclanthology.org/E06-2005,parmentier-etal-2006-xmg,"Yannick Parmentier, Joseph Le Roux, and Benoît Crabbé. 2006. XMG - An Expressive Formalism for Describing Tree-Based Grammars. In Demonstrations, pages 103–106."
learning_and_knowledge_transfer_with_memory_networks_for_machine_comprehension,April,2017.0,EACL,https://aclanthology.org/E17-1080,yadav-etal-2017-learning,"Mohit Yadav, Lovekesh Vig, and Gautam Shroff. 2017. Learning and Knowledge Transfer with Memory Networks for Machine Comprehension. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 850–859, Valencia, Spain. Association for Computational Linguistics."
using_lsa_and_noun_coordination_information_to_improve_the_recall_and_precision_of_automatic_hyponymy_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
asset_a_dataset_for_tuning_and_evaluation_of_sentence_simplification_models_with_multiple_rewriting_transformations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
celda_leveraging_blackbox_language_model_as_enhanced_classifier_without_labels,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cosyn_detecting_implicit_hate_speech_in_online_conversations_using_a_context_synergized_hyperbolic_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
from_arguments_to_key_points_towards_automatic_argument_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
searching_for_effective_neural_extractive_summarization_what_works_and_whats_next,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
explaining_with_contrastive_phrasal_highlighting_a_case_study_in_assisting_humans_to_detect_translation_differences,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.690,briakou-etal-2023-explaining,"Eleftheria Briakou, Navita Goyal, and Marine Carpuat. 2023. Explaining with Contrastive Phrasal Highlighting: A Case Study in Assisting Humans to Detect Translation Differences. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11220–11237, Singapore. Association for Computational Linguistics."
hybrid_transducer_and_attention_based_encoderdecoder_modeling_for_speechtotext_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
storytelling_with_dialogue_a_critical_role_dungeons_and_dragons_dataset,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
spelling_and_grammar_correction_for_danish_in_scarrie,April,2000.0,,https://aclanthology.org/A00-1035,paggio-2000-spelling,"Patrizia Paggio. 2000. Spelling and Grammar Correction for Danish in SCARRIE. In Sixth Applied Natural Language Processing Conference, pages 255–261, Seattle, Washington, USA. Association for Computational Linguistics."
towards_faithful_dialogues_via_focus_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dependency_parsing_with_structure_preserving_embeddings,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.144,kadar-etal-2021-dependency,"Ákos Kádár, Lan Xiao, Mete Kemertas, Federico Fancellu, Allan Jepson, and Afsaneh Fazly. 2021. Dependency parsing with structure preserving embeddings. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1684–1697, Online. Association for Computational Linguistics."
rikinet_reading_wikipedia_pages_for_natural_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
alignarr_aligning_narratives_on_movies,August,2021.0,,https://aclanthology.org/2021.acl-short.54,mirza-etal-2021-alignarr,"Paramita Mirza, Mostafa Abouhamra, and Gerhard Weikum. 2021. AligNarr: Aligning Narratives on Movies. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 427–433, Online. Association for Computational Linguistics."
r3_reverse_retrieve_and_rank_for_sarcasm_generation_with_commonsense_knowledge,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.711,chakrabarty-etal-2020-r,"Tuhin Chakrabarty, Debanjan Ghosh, Smaranda Muresan, and Nanyun Peng. 2020. Rˆ3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 7976–7986, Online. Association for Computational Linguistics."
selfaugmentation_improves_zeroshot_crosslingual_transfer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
morphological_irregularity_correlates_with_frequency,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
breaking_presenting_fake_news_corpus_for_automated_fact_checking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
marginal_utility_diminishes_exploring_the_minimum_knowledge_for_bert_knowledge_distillation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
wecheck_strong_factual_consistency_checker_via_weakly_supervised_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crossdomain_data_augmentation_with_domainadaptive_language_modeling_for_aspectbased_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
token_dropping_for_efficient_bert_pretraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_dataset_of_argumentative_dialogues_on_scientific_papers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adapters_a_unified_library_for_parameterefficient_and_modular_transfer_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bridging_the_digital_divide_performance_variation_across_socioeconomic_factors_in_visionlanguage_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crossmodal_memory_networks_for_radiology_report_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lowdimensional_hyperbolic_knowledge_graph_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_morphological_paradigm_completion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ptp_boosting_stability_and_performance_of_prompt_tuning_with_perturbationbased_regularizer,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.833,chen-etal-2023-ptp,"Lichang Chen, Jiuhai Chen, Heng Huang, and Minhao Cheng. 2023. PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13512–13525, Singapore. Association for Computational Linguistics."
twag_a_topicguided_wikipedia_abstract_generator,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_deep_reinforced_sequencetoset_model_for_multilabel_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
maximal_multiverse_learning_for_promoting_crosstask_generalization_of_finetuned_language_models,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.14,malkiel-wolf-2021-maximal,"Itzik Malkiel and Lior Wolf. 2021. Maximal Multiverse Learning for Promoting Cross-Task Generalization of Fine-Tuned Language Models. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 187–199, Online. Association for Computational Linguistics."
querybased_instance_discrimination_network_for_relational_triple_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dynamic_online_conversation_recommendation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
universal_joint_morphsyntactic_processing_the_open_university_of_israels_submission_to_the_conll_2017_shared_task,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
identifying_beneficial_task_relations_for_multitask_learning_in_deep_neural_networks,April,2017.0,EACL,https://aclanthology.org/E17-2026,bingel-sogaard-2017-identifying,"Joachim Bingel and Anders Søgaard. 2017. Identifying beneficial task relations for multi-task learning in deep neural networks. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 164–169, Valencia, Spain. Association for Computational Linguistics."
a_finite_state_and_dataoriented_method_for_grapheme_to_phoneme_conversion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
controlling_prosody_in_endtoend_tts_a_case_study_on_contrastive_focus_generation,November,2021.0,CoNLL,https://aclanthology.org/2021.conll-1.42,latif-etal-2021-controlling,"Siddique Latif, Inyoung Kim, Ioan Calapodescu, and Laurent Besacier. 2021. Controlling Prosody in End-to-End TTS: A Case Study on Contrastive Focus Generation. In Proceedings of the 25th Conference on Computational Natural Language Learning, pages 544–551, Online. Association for Computational Linguistics."
lilbevo_explorations_of_strategies_for_training_language_models_in_more_humanlike_ways,December,2023.0,CoNLL,https://aclanthology.org/2023.conll-babylm.27,govindarajan-etal-2023-lil,"Venkata S Govindarajan, Juan Diego Rodriguez, Kaj Bostrom, and Kyle Mahowald. 2023. Lil-Bevo: Explorations of Strategies for Training Language Models in More Humanlike Ways. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 308–316, Singapore. Association for Computational Linguistics."
scone_benchmarking_negation_reasoning_in_language_models_with_finetuning_and_incontext_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tracing_origins_coreferenceaware_machine_reading_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
eventdriven_news_stream_clustering_using_entityaware_contextual_embeddings,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.198,saravanakumar-etal-2021-event,"Kailash Karthik Saravanakumar, Miguel Ballesteros, Muthu Kumar Chandrasekaran, and Kathleen McKeown. 2021. Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2330–2340, Online. Association for Computational Linguistics."
unsupervised_word_polysemy_quantification_with_multiresolution_grids_of_contextual_embeddings,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.297,xypolopoulos-etal-2021-unsupervised,"Christos Xypolopoulos, Antoine Tixier, and Michalis Vazirgiannis. 2021. Unsupervised Word Polysemy Quantification with Multiresolution Grids of Contextual Embeddings. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3391–3401, Online. Association for Computational Linguistics."
visual_attention_model_for_name_tagging_in_multimodal_social_media,July,2018.0,ACL,https://aclanthology.org/P18-1185,lu-etal-2018-visual,"Di Lu, Leonardo Neves, Vitor Carvalho, Ning Zhang, and Heng Ji. 2018. Visual Attention Model for Name Tagging in Multimodal Social Media. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1990–1999, Melbourne, Australia. Association for Computational Linguistics."
hierarchyaware_label_semantics_matching_network_for_hierarchical_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_named_entity_recognition_shootout_for_german,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatic_acquisition_of_script_knowledge_from_a_text_collection,April,2003.0,EACL,https://aclanthology.org/E03-1061,fujiki-etal-2003-automatic,"Toshiaki Fujiki, Hidetsugu Nanba, and Manabu Okumura. 2003. Automatic Acquisition of Script Knowledge from a Text Collection. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
balancing_out_bias_achieving_fairness_through_balanced_training,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.779,han-etal-2022-balancing,"Xudong Han, Timothy Baldwin, and Trevor Cohn. 2022. Balancing out Bias: Achieving Fairness Through Balanced Training. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11335–11350, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
seahorse_a_multilingual_multifaceted_dataset_for_summarization_evaluation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_language_model_resources_and_computational_pipelines_for_the_underresourced_iranian_azerbaijani,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
challenges_in_informationseeking_qa_unanswerable_questions_and_paragraph_retrieval,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
documentlevel_relationship_extraction_by_bidirectional_constraints_of_beta_rules,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
selfsupervised_learning_for_contextualized_extractive_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
imtlab_an_opensource_platform_for_building_evaluating_and_diagnosing_interactive_machine_translation_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
research_on_task_discovery_for_transfer_learning_in_deep_neural_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
life_after_bert_what_do_other_muppets_understand_about_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
diversityaware_coherence_loss_for_improving_neural_topic_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
llmblender_ensembling_large_language_models_with_pairwise_ranking_and_generative_fusion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_survey_on_zero_pronoun_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
decoding_a_neural_retrievers_latent_space_for_query_suggestion,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.601,adolphs-etal-2022-decoding,"Leonard Adolphs, Michelle Chen Huebscher, Christian Buck, Sertan Girgin, Olivier Bachem, Massimiliano Ciaramita, and Thomas Hofmann. 2022. Decoding a Neural Retriever’s Latent Space for Query Suggestion. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8786–8804, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
sentibert_a_transferable_transformerbased_architecture_for_compositional_sentiment_semantics,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gltr_statistical_detection_and_visualization_of_generated_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
explorer_explorationguided_reasoning_for_textual_reinforcement_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bringing_order_to_neural_word_embeddings_with_embeddings_augmented_by_random_permutations_earp,October,2018.0,CoNLL,https://aclanthology.org/K18-1045,cohen-widdows-2018-bringing,"Trevor Cohen and Dominic Widdows. 2018. Bringing Order to Neural Word Embeddings with Embeddings Augmented by Random Permutations (EARP). In Proceedings of the 22nd Conference on Computational Natural Language Learning, pages 465–475, Brussels, Belgium. Association for Computational Linguistics."
evidence_sentence_extraction_for_machine_reading_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_unifying_multilingual_and_crosslingual_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_effectiveness_metric_for_ordinal_classification_formal_properties_and_experimental_results,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
putting_words_in_context_lstm_language_models_and_lexical_ambiguity,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hiddentables_and_pyqtax_a_cooperative_game_and_dataset_for_tableqa_to_ensure_scale_and_data_privacy_across_a_myriad_of_taxonomies,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crosslingual_lemmatization_and_morphology_tagging_with_twostage_multilingual_bert_finetuning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
holistic_prediction_on_a_timeevolving_attributed_graph,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bert_in_plutarchs_shadows,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
building_a_large_thesaurus_for_information_retrieval,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
feqa_a_question_answering_evaluation_framework_for_faithfulness_assessment_in_abstractive_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_backandforth_conversion_between_content_and_function_head_for_easy_dependency_parsing,April,2017.0,EACL,https://aclanthology.org/E17-2001,kohita-etal-2017-multilingual,"Ryosuke Kohita, Hiroshi Noji, and Yuji Matsumoto. 2017. Multilingual Back-and-Forth Conversion between Content and Function Head for Easy Dependency Parsing. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 1–7, Valencia, Spain. Association for Computational Linguistics."
taggingassisted_generation_model_with_encoder_and_decoder_supervision_for_aspect_sentiment_triplet_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
recipes_for_adapting_pretrained_monolingual_and_multilingual_models_to_machine_translation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.301,cooper-stickland-etal-2021-recipes,"Asa Cooper Stickland, Xian Li, and Marjan Ghazvininejad. 2021. Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3440–3453, Online. Association for Computational Linguistics."
itmt_interactive_topic_model_trainer,May,2023.0,EACL,https://aclanthology.org/2023.eacl-demo.6,calvo-bartolome-etal-2023-itmt,"Lorena Calvo Bartolomé, José Antonio Espinosa Melchor, and Jerónimo Arenas-garcía. 2023. ITMT: Interactive Topic Model Trainer. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 43–49, Dubrovnik, Croatia. Association for Computational Linguistics."
clidsum_a_benchmark_dataset_for_crosslingual_dialogue_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dstc7_task_1_noetic_endtoend_response_selection,August,2019.0,ACL,https://aclanthology.org/W19-4107,gunasekara-etal-2019-dstc7,"Chulaka Gunasekara, Jonathan K. Kummerfeld, Lazaros Polymenakos, and Walter Lasecki. 2019. DSTC7 Task 1: Noetic End-to-End Response Selection. In Proceedings of the First Workshop on NLP for Conversational AI, pages 60–67, Florence, Italy. Association for Computational Linguistics."
learning_a_multidomain_curriculum_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
global_textual_relation_embedding_for_relational_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
uncertainty_and_surprisal_jointly_deliver_the_punchline_exploiting_incongruitybased_features_for_humor_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
coderetriever_a_large_scale_contrastive_pretraining_method_for_code_search,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
contextual_interaction_for_argument_post_quality_assessment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
estimating_mutual_information_between_dense_word_embeddings,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.741,zhelezniak-etal-2020-estimating,"Vitalii Zhelezniak, Aleksandar Savkov, and Nils Hammerla. 2020. Estimating Mutual Information Between Dense Word Embeddings. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8361–8371, Online. Association for Computational Linguistics."
from_toxicity_in_online_comments_to_incivility_in_american_news_proceed_with_caution,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.225,hede-etal-2021-toxicity,"Anushree Hede, Oshin Agarwal, Linda Lu, Diana C. Mutz, and Ani Nenkova. 2021. From Toxicity in Online Comments to Incivility in American News: Proceed with Caution. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2620–2630, Online. Association for Computational Linguistics."
subeventwriter_iterative_subevent_sequence_generation_with_coherence_controller,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.103,wang-etal-2022-subeventwriter,"Zhaowei Wang, Hongming Zhang, Tianqing Fang, Yangqiu Song, Ginny Wong, and Simon See. 2022. SubeventWriter: Iterative Sub-event Sequence Generation with Coherence Controller. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1590–1604, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
neural_architectures_for_nested_ner_through_linearization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modeling_collaborative_dialogue_in_minecraft_with_actionutterance_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tree_lstms_with_convolution_units_to_predict_stance_and_rumor_veracity_in_social_media_conversations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
foma_a_finitestate_compiler_and_library,April,2009.0,EACL,https://aclanthology.org/E09-2008,hulden-2009-foma,"Mans Hulden. 2009. Foma: a Finite-State Compiler and Library. In Proceedings of the Demonstrations Session at EACL 2009, pages 29–32, Athens, Greece. Association for Computational Linguistics."
from_random_to_supervised_a_novel_dropout_mechanism_integrated_with_global_information,October,2018.0,CoNLL,https://aclanthology.org/K18-1055,xu-etal-2018-random,"Hengru Xu, Shen Li, Renfen Hu, Si Li, and Sheng Gao. 2018. From Random to Supervised: A Novel Dropout Mechanism Integrated with Global Information. In Proceedings of the 22nd Conference on Computational Natural Language Learning, pages 573–582, Brussels, Belgium. Association for Computational Linguistics."
towards_robust_unsupervised_personal_name_disambiguation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_dictionaries_for_named_entity_recognition_using_minimal_supervision,April,2014.0,EACL,https://aclanthology.org/E14-1048,neelakantan-collins-2014-learning,"Arvind Neelakantan and Michael Collins. 2014. Learning Dictionaries for Named Entity Recognition using Minimal Supervision. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 452–461, Gothenburg, Sweden. Association for Computational Linguistics."
learning_translations_via_images_with_a_massively_multilingual_image_dataset,July,2018.0,ACL,https://aclanthology.org/P18-1239,hewitt-etal-2018-learning,"John Hewitt, Daphne Ippolito, Brendan Callahan, Reno Kriz, Derry Tanti Wijaya, and Chris Callison-Burch. 2018. Learning Translations via Images with a Massively Multilingual Image Dataset. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2566–2576, Melbourne, Australia. Association for Computational Linguistics."
gradientbased_gradual_pruning_for_languagespecific_multilingual_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tner_an_allround_python_library_for_transformerbased_named_entity_recognition,April,2021.0,EACL,https://aclanthology.org/2021.eacl-demos.7,ushio-camacho-collados-2021-ner,"Asahi Ushio and Jose Camacho-Collados. 2021. T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 53–62, Online. Association for Computational Linguistics."
information_structure_prediction_for_visualworld_referring_expressions,April,2014.0,EACL,https://aclanthology.org/E14-1055,elsner-etal-2014-information,"Micha Elsner, Hannah Rohde, and Alasdair Clarke. 2014. Information Structure Prediction for Visual-world Referring Expressions. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 520–529, Gothenburg, Sweden. Association for Computational Linguistics."
nevir_negation_in_neural_information_retrieval,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.139,weller-etal-2024-nevir,"Orion Weller, Dawn Lawrie, and Benjamin Van Durme. 2024. NevIR: Negation in Neural Information Retrieval. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2274–2287, St. Julian’s, Malta. Association for Computational Linguistics."
attrisage_product_attribute_value_extraction_using_graph_neural_networks,March,2024.0,EACL,https://aclanthology.org/2024.eacl-srw.8,potta-etal-2024-attrisage,"Rohan Potta, Mallika Asthana, Siddhant Yadav, Nidhi Goyal, Sai Patnaik, and Parul Jain. 2024. AttriSage: Product Attribute Value Extraction Using Graph Neural Networks. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 89–94, St. Julian’s, Malta. Association for Computational Linguistics."
vault_variable_unified_long_text_representation_for_machine_reading_comprehension,August,2021.0,,https://aclanthology.org/2021.acl-short.131,wen-etal-2021-vault,"Haoyang Wen, Anthony Ferritto, Heng Ji, Radu Florian, and Avi Sil. 2021. VAULT: VAriable Unified Long Text Representation for Machine Reading Comprehension. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 1035–1042, Online. Association for Computational Linguistics."
covering_uncommon_ground_gapfocused_question_generation_for_answer_assessment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
continuous_multilinguality_with_language_vectors,April,2017.0,EACL,https://aclanthology.org/E17-2102,ostling-tiedemann-2017-continuous,"Robert Östling and Jörg Tiedemann. 2017. Continuous multilinguality with language vectors. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 644–649, Valencia, Spain. Association for Computational Linguistics."
modelgenerated_pretraining_signals_improves_zeroshot_generalization_of_texttotext_transformers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modeling_sentiment_association_in_discourse_for_humor_recognition,July,2018.0,ACL,https://aclanthology.org/P18-2093,liu-etal-2018-modeling,"Lizhen Liu, Donghai Zhang, and Wei Song. 2018. Modeling Sentiment Association in Discourse for Humor Recognition. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 586–591, Melbourne, Australia. Association for Computational Linguistics."
harnessing_blackbox_control_to_boost_commonsense_in_lms_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
alcuna_large_language_models_meet_new_knowledge,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_comparison_of_manual_and_automatic_constructions_of_category_hierarchy_for_classifying_large_corpora,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
investigating_the_potential_of_task_arithmetic_for_crosslingual_transfer,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.12,parovic-etal-2024-investigating,"Marinela Parović, Ivan Vulić, and Anna Korhonen. 2024. Investigating the Potential of Task Arithmetic for Cross-Lingual Transfer. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 124–137, St. Julian’s, Malta. Association for Computational Linguistics."
attribution_and_alignment_effects_of_local_context_repetition_on_utterance_production_and_comprehension_in_dialogue,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
search_query_spell_correction_with_weak_supervision_in_ecommerce,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.66,kakkar-etal-2023-search,"Vishal Kakkar, Chinmay Sharma, Madhura Pande, and Surender Kumar. 2023. Search Query Spell Correction with Weak Supervision in E-commerce. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 687–694, Toronto, Canada. Association for Computational Linguistics."
uncovering_constraintbased_behavior_in_neural_models_via_targeted_finetuning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
designing_precise_and_robust_dialogue_response_evaluators,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cola_contextualized_commonsense_causal_reasoning_from_the_causal_inference_perspective,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
just_rank_rethinking_evaluation_with_word_and_sentence_similarities,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
locate_and_label_a_twostage_identifier_for_nested_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
global_encoding_for_abstractive_summarization,July,2018.0,ACL,https://aclanthology.org/P18-2027,lin-etal-2018-global,"Junyang Lin, Xu Sun, Shuming Ma, and Qi Su. 2018. Global Encoding for Abstractive Summarization. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 163–169, Melbourne, Australia. Association for Computational Linguistics."
towards_unified_representations_of_knowledge_graph_and_expert_rules_for_machine_learning_and_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dictionarybased_debiasing_of_pretrained_word_embeddings,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.16,kaneko-bollegala-2021-dictionary,"Masahiro Kaneko and Danushka Bollegala. 2021. Dictionary-based Debiasing of Pre-trained Word Embeddings. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 212–223, Online. Association for Computational Linguistics."
stimulating_creativity_with_funlines_a_case_study_of_humor_generation_in_headlines,July,2020.0,ACL,https://aclanthology.org/2020.acl-demos.28,hossain-etal-2020-stimulating,"Nabil Hossain, John Krumm, Tanvir Sajed, and Henry Kautz. 2020. Stimulating Creativity with FunLines: A Case Study of Humor Generation in Headlines. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 256–262, Online. Association for Computational Linguistics."
increasing_diversity_while_maintaining_accuracy_text_data_generation_with_large_language_models_and_human_interventions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
insightnet__structured_insight_mining_from_customer_feedback,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.53,mukku-etal-2023-insightnet,"Sandeep Sricharan Mukku, Manan Soni, Chetan Aggarwal, Jitenkumar Rana, Promod Yenigalla, Rashmi Patange, and Shyam Mohan. 2023. InsightNet : Structured Insight Mining from Customer Feedback. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 552–566, Singapore. Association for Computational Linguistics."
dscorer_a_fast_evaluation_metric_for_discourse_representation_structure_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_interpretable_neurosymbolic_reasoning_framework_for_taskoriented_dialogue_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
llmpowered_data_augmentation_for_enhanced_crosslingual_performance,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
englishindonesian_neural_machine_translation_for_spoken_language_domains,December 3-4,2015.0,IWSLT,https://aclanthology.org/2015.iwslt-evaluation.11,luong-manning-2015-stanford,"Minh-Thang Luong and Christopher Manning. 2015. Stanford neural machine translation systems for spoken language domains. In Proceedings of the 12th International Workshop on Spoken Language Translation: Evaluation Campaign, pages 76–79, Da Nang, Vietnam."
enhancing_codeswitching_for_crosslingual_slu_a_unified_view_of_semantic_and_grammatical_coherence,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_acl_ocl_corpus_advancing_open_science_in_computational_linguistics,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
recurrent_neural_network_language_models_always_learn_englishlike_relative_clause_attachment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
texttransport_toward_learning_causal_effects_of_natural_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pre_and_inparsing_models_for_neural_empty_category_detection,July,2018.0,ACL,https://aclanthology.org/P18-1250,chen-etal-2018-pre,"Yufei Chen, Yuanyuan Zhao, Weiwei Sun, and Xiaojun Wan. 2018. Pre- and In-Parsing Models for Neural Empty Category Detection. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2687–2696, Melbourne, Australia. Association for Computational Linguistics."
nonparametric_domain_adaptation_for_endtoend_speech_translation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.21,du-etal-2022-non,"Yichao Du, Weizhi Wang, Zhirui Zhang, Boxing Chen, Tong Xu, Jun Xie, and Enhong Chen. 2022. Non-Parametric Domain Adaptation for End-to-End Speech Translation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 306–320, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
intelmo_enhancing_models_adoption_of_interactive_interfaces,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-demo.14,yang-etal-2023-intelmo,"Chunxu Yang, Chien-Sheng Wu, Lidiya Murakhovs’ka, Philippe Laban, and Xiang Chen. 2023. INTELMO: Enhancing Models’ Adoption of Interactive Interfaces. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 161–166, Singapore. Association for Computational Linguistics."
variational_weakly_supervised_sentiment_analysis_with_posterior_regularization,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.285,zeng-song-2021-variational,"Ziqian Zeng and Yangqiu Song. 2021. Variational Weakly Supervised Sentiment Analysis with Posterior Regularization. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3259–3268, Online. Association for Computational Linguistics."
do_contextaware_translation_models_pay_the_right_attention,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_right_tool_for_the_job_matching_model_and_instance_complexities,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
holm_hallucinating_objects_with_language_models_for_referring_expression_recognition_in_partiallyobserved_scenes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
largecoverage_root_lexicon_extraction_for_hindi,March,2009.0,EACL,https://aclanthology.org/E09-1015,carlos-etal-2009-large,"Cohan Sujay Carlos, Monojit Choudhury, and Sandipan Dandapat. 2009. Large-Coverage Root Lexicon Extraction for Hindi. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 121–129, Athens, Greece. Association for Computational Linguistics."
zeroshotceres_zeroshot_relation_extraction_from_semistructured_webpages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
feature_selection_for_short_text_classification_using_wavelet_packet_transform,July,2015.0,CoNLL,https://aclanthology.org/K15-1034,mahajan-etal-2015-feature,"Anuj Mahajan, Sharmistha Jat, and Shourya Roy. 2015. Feature Selection for Short Text Classification using Wavelet Packet Transform. In Proceedings of the Nineteenth Conference on Computational Natural Language Learning, pages 321–326, Beijing, China. Association for Computational Linguistics."
quantified_reproducibility_assessment_of_nlp_results,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
spanmlt_a_spanbased_multitask_learning_framework_for_pairwise_aspect_and_opinion_terms_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
openattack_an_opensource_textual_adversarial_attack_toolkit,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
annotating_and_analyzing_semantic_role_of_elementary_units_and_relations_in_online_persuasive_arguments,July,2019.0,ACL,https://aclanthology.org/P19-2059,egawa-etal-2019-annotating,"Ryo Egawa, Gaku Morio, and Katsuhide Fujita. 2019. Annotating and Analyzing Semantic Role of Elementary Units and Relations in Online Persuasive Arguments. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 422–428, Florence, Italy. Association for Computational Linguistics."
prca_fitting_blackbox_large_language_models_for_retrieval_question_answering_via_pluggable_rewarddriven_contextual_adapter,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
scdner_spanbased_consistencyaware_documentlevel_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ecare_a_new_dataset_for_exploring_explainable_causal_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
queryaware_multimodal_based_ranking_relevance_in_video_search,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.31,ye-etal-2023-query,"Chengcan Ye, Ting Peng, Tim Chang, Zhiyi Zhou, and Feng Wang. 2023. Query-aware Multi-modal based Ranking Relevance in Video Search. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 322–330, Singapore. Association for Computational Linguistics."
understanding_advertisements_with_bert,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sentenceincremental_neural_coreference_resolution,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.28,grenander-etal-2022-sentence,"Matt Grenander, Shay B. Cohen, and Mark Steedman. 2022. Sentence-Incremental Neural Coreference Resolution. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 427–443, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
the_sofcexp_corpus_and_neural_approaches_to_information_extraction_in_the_materials_science_domain,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
recindial_a_unified_framework_for_conversational_recommendation_with_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
taxonomy_expansion_for_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_end2end_learning_for_predicting_behavior_codes_from_spoken_utterances_in_psychotherapy_conversations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
measuring_contextual_fitness_using_error_contexts_extracted_from_the_wikipedia_revision_history,April,2012.0,EACL,https://aclanthology.org/E12-1054,zesch-2012-measuring,"Torsten Zesch. 2012. Measuring Contextual Fitness Using Error Contexts Extracted from the Wikipedia Revision History. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 529–538, Avignon, France. Association for Computational Linguistics."
adaptive_policy_with_waitk_model_for_simultaneous_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
shallow_discourse_parsing_using_convolutional_neural_network,August,2016.0,CoNLL,https://aclanthology.org/K16-2010,qin-etal-2016-shallow,"Lianhui Qin, Zhisong Zhang, and Hai Zhao. 2016. Shallow Discourse Parsing Using Convolutional Neural Network. In Proceedings of the CoNLL-16 shared task, pages 70–77, Berlin, Germany. Association for Computational Linguistics."
metatransfer_learning_for_codeswitched_speech_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
distinguishing_antonyms_and_synonyms_in_a_patternbased_neural_network,April,2017.0,EACL,https://aclanthology.org/E17-1008,nguyen-etal-2017-distinguishing,"Kim Anh Nguyen, Sabine Schulte im Walde, and Ngoc Thang Vu. 2017. Distinguishing Antonyms and Synonyms in a Pattern-based Neural Network. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 76–85, Valencia, Spain. Association for Computational Linguistics."
enhancing_volatility_forecasting_in_financial_markets_a_general_numeral_attachment_dataset_for_understanding_earnings_calls,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ulf_unsupervised_labeling_function_correction_using_crossvalidation_for_weak_supervision,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
stock_movement_prediction_from_tweets_and_historical_prices,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
how_can_nlp_help_revitalize_endangered_languages_a_case_study_and_roadmap_for_the_cherokee_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tiny_language_models_enriched_with_multimodal_knowledge_from_multiplex_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
intriguing_effect_of_the_correlation_prior_on_icd9_code_assignment,August,2024.0,ACL,https://aclanthology.org/2024.acl-long.714,du-etal-2024-context,"Kevin Du, Vésteinn Snæbjarnarson, Niklas Stoehr, Jennifer White, Aaron Schein, and Ryan Cotterell. 2024. Context versus Prior Knowledge in Language Models. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 13211–13235, Bangkok, Thailand. Association for Computational Linguistics."
videohelpful_multimodal_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
right_for_the_right_reason_evidence_extraction_for_trustworthy_tabular_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automl_strategy_based_on_grammatical_evolution_a_case_study_about_knowledge_discovery_from_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bertac_enhancing_transformerbased_language_models_with_adversarially_pretrained_convolutional_neural_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
retrieval_reranking_and_multitask_learning_for_knowledgebase_question_answering,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.26,wang-etal-2021-retrieval,"Zhiguo Wang, Patrick Ng, Ramesh Nallapati, and Bing Xiang. 2021. Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 347–357, Online. Association for Computational Linguistics."
documentlevel_event_role_filler_extraction_using_multigranularity_contextualized_encoding,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.714,du-cardie-2020-document,"Xinya Du and Claire Cardie. 2020. Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8010–8020, Online. Association for Computational Linguistics."
selfinfluence_guided_data_reweighting_for_language_model_pretraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_interpretable_and_efficient_automatic_referencebased_summarization_evaluation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_investigation_of_warning_erroneous_chat_translations_in_crosslingual_communication,November,2023.0,,https://aclanthology.org/2023.ijcnlp-srw.2,li-etal-2023-investigation,"Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, and Kentaro Inui. 2023. An Investigation of Warning Erroneous Chat Translations in Cross-lingual Communication. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 10–16, Nusa Dua, Bali. Association for Computational Linguistics."
a_hybrid_discourse_relation_parser_in_conll_2015,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tagging_sentence_boundaries,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
approaching_smm4h_with_merged_models_and_multitask_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
investigating_failures_of_automatic_translationin_the_case_of_unambiguous_gender,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
plotcoder_hierarchical_decoding_for_synthesizing_visualization_code_in_programmatic_context,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
weight_poisoning_attacks_on_pretrained_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
symmetric_pattern_matching_analysis_for_english_coordinate_structures,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
viterbi_training_improves_unsupervised_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_optimal_policy_for_simultaneous_machine_translation_via_binary_search,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_attentionbased_embeddings_for_relation_prediction_in_knowledge_graphs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
are_ellipses_important_for_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
instruction_induction_from_few_examples_to_natural_language_task_descriptions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
stance_detection_in_covid19_tweets,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
filling_the_gap_semisupervised_learning_for_opinion_detection_across_domains,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
parallel_instance_query_network_for_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reformulating_nlp_tasks_to_capture_longitudinal_manifestation_of_language_disorders_in_people_with_dementia,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.986,gkoumas-etal-2023-reformulating,"Dimitris Gkoumas, Matthew Purver, and Maria Liakata. 2023. Reformulating NLP tasks to Capture Longitudinal Manifestation of Language Disorders in People with Dementia.. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15904–15917, Singapore. Association for Computational Linguistics."
parser_training_with_heterogeneous_treebanks,July,2018.0,ACL,https://aclanthology.org/P18-2098,stymne-etal-2018-parser,"Sara Stymne, Miryam de Lhoneux, Aaron Smith, and Joakim Nivre. 2018. Parser Training with Heterogeneous Treebanks. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 619–625, Melbourne, Australia. Association for Computational Linguistics."
meld_a_multimodal_multiparty_dataset_for_emotion_recognition_in_conversations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
matching_article_pairs_with_graphical_decomposition_and_convolutions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
understanding_linguistic_accommodation_in_codeswitched_humanmachine_dialogues,November,2020.0,CoNLL,https://aclanthology.org/2020.conll-1.46,parekh-etal-2020-understanding,"Tanmay Parekh, Emily Ahn, Yulia Tsvetkov, and Alan W Black. 2020. Understanding Linguistic Accommodation in Code-Switched Human-Machine Dialogues. In Proceedings of the 24th Conference on Computational Natural Language Learning, pages 565–577, Online. Association for Computational Linguistics."
once_upon_a_time_in_graph_relativetime_pretraining_for_complex_temporal_reasoning,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.728,yang-etal-2023-upon,"Sen Yang, Xin Li, Lidong Bing, and Wai Lam. 2023. Once Upon a Time in Graph: Relative-Time Pretraining for Complex Temporal Reasoning. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11879–11895, Singapore. Association for Computational Linguistics."
fish_a_financial_interactive_system_for_signal_highlighting,May,2023.0,EACL,https://aclanthology.org/2023.eacl-demo.7,huang-etal-2023-fish,"Ta-wei Huang, Jia-huei Ju, Yu-shiang Huang, Cheng-wei Lin, Yi-shyuan Chiang, and Chuan-ju Wang. 2023. FISH: A Financial Interactive System for Signal Highlighting. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 50–56, Dubrovnik, Croatia. Association for Computational Linguistics."
how_far_can_it_go_on_intrinsic_gender_bias_mitigation_for_text_classification,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.248,tokpo-etal-2023-far,"Ewoenam Kwaku Tokpo, Pieter Delobelle, Bettina Berendt, and Toon Calders. 2023. How Far Can It Go? On Intrinsic Gender Bias Mitigation for Text Classification. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3418–3433, Dubrovnik, Croatia. Association for Computational Linguistics."
what_context_features_can_transformer_language_models_use,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nameguess_column_name_expansion_for_tabular_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_grammar_induction_by_distribution_and_attachment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
compositional_semantics_and_inference_system_for_temporal_order_based_on_japanese_ccg,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
guided_attention_multimodal_multitask_financial_forecasting_with_intercompany_relationships_and_global_and_local_news,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
meaning_to_form_measuring_systematicity_as_information,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
whos_on_first_probing_the_learning_and_representation_capabilities_of_language_models_on_deterministic_closed_domains,November,2021.0,CoNLL,https://aclanthology.org/2021.conll-1.16,demeter-downey-2021-whos,"David Demeter and Doug Downey. 2021. Who’s on First?: Probing the Learning and Representation Capabilities of Language Models on Deterministic Closed Domains. In Proceedings of the 25th Conference on Computational Natural Language Learning, pages 210–222, Online. Association for Computational Linguistics."
enhancing_generative_retrieval_with_reinforcement_learning_from_relevance_feedback,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.768,zhou-etal-2023-enhancing-generative,"Yujia Zhou, Zhicheng Dou, and Ji-Rong Wen. 2023. Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12481–12490, Singapore. Association for Computational Linguistics."
entsumv2_dataset_models_and_evaluation_for_more_abstractive_entitycentric_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_explain_selectively_a_case_study_on_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rptcs_a_reinforced_personaaware_topicguiding_conversational_system,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.253,ahmad-etal-2023-rptcs,"Zishan Ahmad, Kshitij Mishra, Asif Ekbal, and Pushpak Bhattacharyya. 2023. RPTCS: A Reinforced Persona-aware Topic-guiding Conversational System. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3482–3494, Dubrovnik, Croatia. Association for Computational Linguistics."
breaking_the_representation_bottleneck_of_chinese_characters_neural_machine_translation_with_stroke_sequence_modeling,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.434,wang-etal-2022-breaking,"Zhijun Wang, Xuebo Liu, and Min Zhang. 2022. Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6473–6484, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
are_machine_reading_comprehension_systems_robust_to_context_paraphrasing,November,2023.0,,https://aclanthology.org/2023.ijcnlp-short.21,wu-etal-2023-machine,"Yulong Wu, Viktor Schlegel, and Riza Batista-Navarro. 2023. Are Machine Reading Comprehension Systems Robust to Context Paraphrasing?. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 184–196, Nusa Dua, Bali. Association for Computational Linguistics."
a_finegrained_chinese_software_privacy_policy_dataset_for_sequence_labeling_and_regulation_compliant_identification,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.700,zhao-etal-2022-fine-grained,"Kaifa Zhao, Le Yu, Shiyao Zhou, Jing Li, Xiapu Luo, Yat Fei Aemon Chiu, and Yutong Liu. 2022. A Fine-grained Chinese Software Privacy Policy Dataset for Sequence Labeling and Regulation Compliant Identification. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10266–10277, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
strae_autoencoding_for_pretrained_embeddings_using_explicit_structure,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
language_to_network_conditional_parameter_adaptation_with_natural_language_descriptions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
corefprompt_promptbased_event_coreference_resolution_by_measuring_event_type_and_argument_compatibilities,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.954,xu-etal-2023-corefprompt,"Sheng Xu, Peifeng Li, and Qiaoming Zhu. 2023. CorefPrompt: Prompt-based Event Coreference Resolution by Measuring Event Type and Argument Compatibilities. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15440–15452, Singapore. Association for Computational Linguistics."
a_combined_memorybased_semantic_role_labeler_of_english,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
contrastive_learning_with_expectationmaximization_for_weakly_supervised_phrase_grounding,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.586,chen-etal-2022-contrastive,"Keqin Chen, Richong Zhang, Samuel Mensah, and Yongyi Mao. 2022. Contrastive Learning with Expectation-Maximization for Weakly Supervised Phrase Grounding. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8549–8559, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
learning_goaloriented_dialogue_policy_with_opposite_agent_awareness,December,2020.0,AACL,https://aclanthology.org/2020.aacl-main.16,zhang-etal-2020-learning,"Zheng Zhang, Lizi Liao, Xiaoyan Zhu, Tat-Seng Chua, Zitao Liu, Yan Huang, and Minlie Huang. 2020. Learning Goal-oriented Dialogue Policy with opposite Agent Awareness. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, pages 122–132, Suzhou, China. Association for Computational Linguistics."
uinauil_a_unified_benchmark_for_italian_natural_language_understanding,July,2023.0,ACL,https://aclanthology.org/2023.acl-demo.33,basile-etal-2023-uinauil,"Valerio Basile, Livio Bioglio, Alessio Bosca, Cristina Bosco, and Viviana Patti. 2023. UINAUIL: A Unified Benchmark for Italian Natural Language Understanding. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 348–356, Toronto, Canada. Association for Computational Linguistics."
investigating_the_effects_of_selective_sampling_on_the_annotation_task,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generic_temporal_reasoning_with_differential_analysis_and_explanation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crystal_analyzing_predictive_opinions_on_the_web,June,2007.0,,https://aclanthology.org/D07-1113,kim-hovy-2007-crystal,"Soo-Min Kim and Eduard Hovy. 2007. Crystal: Analyzing Predictive Opinions on the Web. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 1056–1064, Prague, Czech Republic. Association for Computational Linguistics."
flat_chinese_ner_using_flatlattice_transformer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
finegrained_sentence_functions_for_shorttext_conversation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learnda_learnable_knowledgeguided_data_augmentation_for_event_causality_identification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
boundary_smoothing_for_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
i_like_fish_especially_dolphins_addressing_contradictions_in_dialogue_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_simple_and_effective_unified_encoder_for_documentlevel_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_complex_knowledge_base_question_answering_via_questiontoaction_and_questiontoquestion_alignment,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.10,tang-etal-2022-improving,"Yechun Tang, Xiaoxia Cheng, and Weiming Lu. 2022. Improving Complex Knowledge Base Question Answering via Question-to-Action and Question-to-Question Alignment. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 137–147, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
electionwatch_detecting_patterns_in_news_coverage_of_us_elections,April,2012.0,EACL,https://aclanthology.org/E12-2017,sudhahar-etal-2012-electionwatch,"Saatviga Sudhahar, Thomas Lansdall-Welfare, Ilias Flaounas, and Nello Cristianini. 2012. ElectionWatch: Detecting Patterns in News Coverage of US Elections. In Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 82–86, Avignon, France. Association for Computational Linguistics."
the_effects_of_language_token_prefixing_for_multilingual_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
extracting_the_unextractable_a_case_study_on_verbparticles,,2002.0,CoNLL,https://aclanthology.org/W02-2001,baldwin-villavicencio-2002-extracting,Timothy Baldwin and Aline Villavicencio. 2002. Extracting the Unextractable: A Case Study on Verb-particles. In COLING-02: The 6th Conference on Natural Language Learning 2002 (CoNLL-2002).
soft_alignment_objectives_for_robust_adaptation_of_language_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rethinking_negative_pairs_in_code_search,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crossmodal_attention_congruence_regularization_for_visionlanguage_relation_alignment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
graph_neural_networks_with_generated_parameters_for_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pretraining_multiparty_dialogue_models_with_latent_discourse_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semisupervised_relation_extraction_via_data_augmentation_and_consistencytraining,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.79,teru-2023-semi,"Komal Teru. 2023. Semi-supervised Relation Extraction via Data Augmentation and Consistency-training. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1112–1124, Dubrovnik, Croatia. Association for Computational Linguistics."
towards_robust_pruning_an_adaptive_knowledgeretention_pruning_strategy_for_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
new_features_for_framenet__wordnet_mapping,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cori_collective_relation_integration_with_data_augmentation_for_open_information_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
diverse_adversaries_for_mitigating_bias_in_training,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.239,han-etal-2021-diverse,"Xudong Han, Timothy Baldwin, and Trevor Cohn. 2021. Diverse Adversaries for Mitigating Bias in Training. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2760–2765, Online. Association for Computational Linguistics."
symbolic_inductive_bias_for_visually_grounded_learning_of_spoken_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
argument_generation_with_retrieval_planning_and_realization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
weakly_deterministic_transformations_are_subregular,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dynamic_taskoriented_dialogue_a_comparative_study_of_llama2_and_bert_in_slot_value_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
em_pretraining_for_multiparty_dialogue_response_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
filtering_and_mining_parallel_data_in_a_joint_multilingual_space,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
textual_backdoor_attacks_can_be_more_harmful_via_two_simple_tricks,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.770,chen-etal-2022-textual,"Yangyi Chen, Fanchao Qi, Hongcheng Gao, Zhiyuan Liu, and Maosong Sun. 2022. Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11215–11221, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
graph_hawkes_transformer_for_extrapolated_reasoning_on_temporal_knowledge_graphs,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.507,sun-etal-2022-graph,"Haohai Sun, Shangyi Geng, Jialun Zhong, Han Hu, and Kun He. 2022. Graph Hawkes Transformer for Extrapolated Reasoning on Temporal Knowledge Graphs. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7481–7493, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
scot_sense_clustering_over_time_a_tool_for_the_analysis_of_lexical_change,April,2021.0,EACL,https://aclanthology.org/2021.eacl-demos.23,haase-etal-2021-scot,"Christian Haase, Saba Anwar, Seid Muhie Yimam, Alexander Friedrich, and Chris Biemann. 2021. SCoT: Sense Clustering over Time: a tool for the analysis of lexical change. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 198–204, Online. Association for Computational Linguistics."
towards_robust_lowresource_finetuning_with_multiview_compressed_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_maximum_entropy_approach_to_identifying_sentence_boundaries,March,1997.0,ANLP,https://aclanthology.org/A97-1004,reynar-ratnaparkhi-1997-maximum,"Jeffrey C. Reynar and Adwait Ratnaparkhi. 1997. A Maximum Entropy Approach to Identifying Sentence Boundaries. In Fifth Conference on Applied Natural Language Processing, pages 16–19, Washington, DC, USA. Association for Computational Linguistics."
arhnet__leveraging_community_interaction_for_detection_of_religious_hate_speech_in_arabic,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
jointly_learning_to_align_and_summarize_for_neural_crosslingual_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dpnmt_scalable_differentially_private_machine_translation,July,2006.0,,https://aclanthology.org/P06-1067,al-onaizan-papineni-2006-distortion,"Yaser Al-Onaizan and Kishore Papineni. 2006. Distortion Models for Statistical Machine Translation. In Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, pages 529–536, Sydney, Australia. Association for Computational Linguistics."
crosslingual_evidence_improves_monolingual_fake_news_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
detecting_extraneous_content_in_podcasts,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.99,reddy-etal-2021-detecting,"Sravana Reddy, Yongze Yu, Aasish Pappu, Aswin Sivaraman, Rezvaneh Rezapour, and Rosie Jones. 2021. Detecting Extraneous Content in Podcasts. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1166–1173, Online. Association for Computational Linguistics."
charactercentric_story_visualization_via_visual_planning_and_token_alignment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
zero_pronouns_identification_based_on_span_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_noisy_channel_model_framework_for_grammatical_correction,August,2013.0,CoNLL,https://aclanthology.org/W13-3615,wilcox-ohearn-2013-noisy,"L. Amber Wilcox-O’Hearn. 2013. A Noisy Channel Model Framework for Grammatical Correction. In Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task, pages 109–114, Sofia, Bulgaria. Association for Computational Linguistics."
on_the_evaluation_of_machine_translation_systems_trained_with_backtranslation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lightea_a_scalable_robust_and_interpretable_entity_alignment_framework_via_threeview_label_propagation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.52,mao-etal-2022-lightea,"Xin Mao, Wenting Wang, Yuanbin Wu, and Man Lan. 2022. LightEA: A Scalable, Robust, and Interpretable Entity Alignment Framework via Three-view Label Propagation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 825–838, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
harvesting_and_refining_questionanswer_pairs_for_unsupervised_qa,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
avast_attentive_variational_state_tracker_in_a_reinforced_navigator,November,2022.0,,https://aclanthology.org/2022.aacl-main.33,jang-etal-2022-avast,"Je-Wei Jang, Mahdin Rohmatillah, and Jen-Tzung Chien. 2022. AVAST: Attentive Variational State Tracker in a Reinforced Navigator. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 424–433, Online only. Association for Computational Linguistics."
graphbased_neural_multidocument_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
incremental_parsing_models_for_dialog_task_structure,March,2009.0,EACL,https://aclanthology.org/E09-1012,bangalore-stent-2009-incremental,"Srinivas Bangalore and Amanda Stent. 2009. Incremental Parsing Models for Dialog Task Structure. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 94–102, Athens, Greece. Association for Computational Linguistics."
enhancing_answer_boundary_detection_for_multilingual_machine_reading_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enriching_neural_models_with_targeted_features_for_dementia_detection,July,2019.0,ACL,https://aclanthology.org/P19-2042,di-palo-parde-2019-enriching,"Flavio Di Palo and Natalie Parde. 2019. Enriching Neural Models with Targeted Features for Dementia Detection. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 302–308, Florence, Italy. Association for Computational Linguistics."
predicting_prerequisite_relations_for_unseen_concepts,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.585,zhu-zamani-2022-predicting,"Yaxin Zhu and Hamed Zamani. 2022. Predicting Prerequisite Relations for Unseen Concepts. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8542–8548, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
reducing_sequence_length_by_predicting_edit_spans_with_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
athena_mathematical_reasoning_with_thought_expansion,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.1014,kim-etal-2023-athena,"Jb. Kim, Hazel Kim, Joonghyuk Hahn, and Yo-Sub Han. 2023. ATHENA: Mathematical Reasoning with Thought Expansion. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16315–16327, Singapore. Association for Computational Linguistics."
acquisition_of_desires_before_beliefs_a_computional_investigation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
describing_images_fast_and_slow_quantifying_and_predicting_the_variation_in_human_signals_during_visuolinguistic_processes,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.126,takmaz-etal-2024-describing,"Ece Takmaz, Sandro Pezzelle, and Raquel Fernández. 2024. Describing Images Fast and Slow: Quantifying and Predicting the Variation in Human Signals during Visuo-Linguistic Processes. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2072–2087, St. Julian’s, Malta. Association for Computational Linguistics."
an_approach_to_text_corpus_construction_which_cuts_annotation_costs_and_maintains_reusability_of_annotated_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
robust_neural_machine_translation_for_abugidas_by_glyph_perturbation,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.27,kaing-etal-2024-robust,"Hour Kaing, Chenchen Ding, Hideki Tanaka, and Masao Utiyama. 2024. Robust Neural Machine Translation for Abugidas by Glyph Perturbation. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 311–318, St. Julian’s, Malta. Association for Computational Linguistics."
distribution_shifts_are_bottlenecks_extensive_evaluation_for_grounding_language_models_to_knowledge_bases,March,2024.0,EACL,https://aclanthology.org/2024.eacl-srw.7,shu-yu-2024-distribution,"Yiheng Shu and Zhiwei Yu. 2024. Distribution Shifts Are Bottlenecks: Extensive Evaluation for Grounding Language Models to Knowledge Bases. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 71–88, St. Julian’s, Malta. Association for Computational Linguistics."
a_new_perceptron_algorithm_for_sequence_labeling_with_nonlocal_features,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nusax_multilingual_parallel_sentiment_dataset_for_10_indonesian_local_languages,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.57,winata-etal-2023-nusax,"Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, Rahmad Mahendra, Fajri Koto, Ade Romadhony, Kemal Kurniawan, David Moeljadi, Radityo Eko Prasojo, Pascale Fung, Timothy Baldwin, Jey Han Lau, Rico Sennrich, and Sebastian Ruder. 2023. NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 815–834, Dubrovnik, Croatia. Association for Computational Linguistics."
cdˆ2cr_coreference_resolution_across_documents_and_domains,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.21,ravenscroft-etal-2021-cd,"James Ravenscroft, Amanda Clare, Arie Cattan, Ido Dagan, and Maria Liakata. 2021. CDˆ2CR: Co-reference resolution across documents and domains. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 270–280, Online. Association for Computational Linguistics."
improving_the_impact_of_subjectivity_word_sense_disambiguation_on_contextual_opinion_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
selfadaptive_incontext_learning_an_information_compression_perspective_for_incontext_example_selection_and_ordering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
applying_multisense_embeddings_for_german_verbs_to_determine_semantic_relatedness_and_to_detect_nonliteral_language,April,2017.0,EACL,https://aclanthology.org/E17-2086,koper-schulte-im-walde-2017-applying,"Maximilian Köper and Sabine Schulte im Walde. 2017. Applying Multi-Sense Embeddings for German Verbs to Determine Semantic Relatedness and to Detect Non-Literal Language. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 535–542, Valencia, Spain. Association for Computational Linguistics."
generating_summaries_with_controllable_readability_levels,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.714,ribeiro-etal-2023-generating,"Leonardo F. R. Ribeiro, Mohit Bansal, and Markus Dreyer. 2023. Generating Summaries with Controllable Readability Levels. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11669–11687, Singapore. Association for Computational Linguistics."
grubert_a_grubased_method_to_fuse_bert_hidden_layers_for_twitter_sentiment_analysis,December,2020.0,AACL,https://aclanthology.org/2020.aacl-srw.19,horne-etal-2020-grubert,"Leo Horne, Matthias Matti, Pouya Pourjafar, and Zuowen Wang. 2020. GRUBERT: A GRU-Based Method to Fuse BERT Hidden Layers for Twitter Sentiment Analysis. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: Student Research Workshop, pages 130–138, Suzhou, China. Association for Computational Linguistics."
classifying_illegal_activities_on_tor_network_based_on_web_textual_contents,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
detecting_and_extracting_of_adverse_drug_reaction_mentioning_tweets_with_multihead_self_attention,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
revisiting_the_negative_data_of_distantly_supervised_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
simple_and_effective_knowledgedriven_query_expansion_for_qabased_product_attribute_extraction,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.25,shinzato-etal-2022-simple,"Keiji Shinzato, Naoki Yoshinaga, Yandi Xia, and Wei-Te Chen. 2022. Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product Attribute Extraction. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 227–234, Dublin, Ireland. Association for Computational Linguistics."
transformers_to_learn_hierarchical_contexts_in_multiparty_dialogue_for_spanbased_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
string2string_a_modern_python_library_for_stringtostring_algorithms,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_parisnlp_entry_at_the_conll_ud_shared_task_2017_a_tale_of_a_parsingtragedy,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
beyond_user_selfreported_likert_scale_ratings_a_comparison_model_for_automatic_dialog_evaluation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cognitionaware_cognate_detection,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.288,kanojia-etal-2021-cognition,"Diptesh Kanojia, Prashant Sharma, Sayali Ghodekar, Pushpak Bhattacharyya, Gholamreza Haffari, and Malhar Kulkarni. 2021. Cognition-aware Cognate Detection. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3281–3292, Online. Association for Computational Linguistics."
a_spanbased_model_for_joint_overlapped_and_discontinuous_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
empirical_methods_for_compound_splitting,April,2003.0,EACL,https://aclanthology.org/E03-1076,koehn-knight-2003-empirical,"Philipp Koehn and Kevin Knight. 2003. Empirical Methods for Compound Splitting. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
nlpkg_a_system_for_exploratory_search_of_scientific_literature_in_natural_language_processing,August,2024.0,ACL,https://aclanthology.org/2024.acl-demos.13,schopf-matthes-2024-nlp,"Tim Schopf and Florian Matthes. 2024. NLP-KG: A System for Exploratory Search of Scientific Literature in Natural Language Processing. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 127–135, Bangkok, Thailand. Association for Computational Linguistics."
syntaxenhanced_pretrained_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
embedding_learning_through_multilingual_concept_induction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
creating_suspenseful_stories_iterative_planning_with_large_language_models,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.147,xie-riedl-2024-creating,"Kaige Xie and Mark Riedl. 2024. Creating Suspenseful Stories: Iterative Planning with Large Language Models. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2391–2407, St. Julian’s, Malta. Association for Computational Linguistics."
fewshot_semantic_parsing_for_new_predicates,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.109,li-etal-2021-shot,"Zhuang Li, Lizhen Qu, Shuo Huang, and Gholamreza Haffari. 2021. Few-Shot Semantic Parsing for New Predicates. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1281–1291, Online. Association for Computational Linguistics."
nerdz_a_preliminary_dataset_of_named_entities_for_algerian,November,2022.0,,https://aclanthology.org/2022.aacl-short.13,touileb-2022-nerdz,"Samia Touileb. 2022. NERDz: A Preliminary Dataset of Named Entities for Algerian. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 95–101, Online only. Association for Computational Linguistics."
hate_speech_and_offensive_language_detection_in_bengali,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
building_accurate_low_latency_asr_for_streaming_voice_search_in_ecommerce,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.26,goyal-garera-2023-building,"Abhinav Goyal and Nikesh Garera. 2023. Building Accurate Low Latency ASR for Streaming Voice Search in E-commerce. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 276–283, Toronto, Canada. Association for Computational Linguistics."
endtoend_neural_pipeline_for_goaloriented_dialogue_systems_using_gpt2,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_robust_and_extensible_exemplarbased_model_of_thematic_fit,March,2009.0,EACL,https://aclanthology.org/E09-1094,vandekerckhove-etal-2009-robust,"Bram Vandekerckhove, Dominiek Sandra, and Walter Daelemans. 2009. A Robust and Extensible Exemplar-Based Model of Thematic Fit. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 826–834, Athens, Greece. Association for Computational Linguistics."
cislr_corpus_for_indian_sign_language_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
retracted_synqg_syntactic_and_shallow_semantic_rules_for_question_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
entropy_and_distancebased_predictors_from_gpt2_attention_patterns_predict_reading_times_over_and_above_gpt2_surprisal,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
refer_an_endtoend_rationale_extraction_framework_for_explanation_regularization,December,2023.0,CoNLL,https://aclanthology.org/2023.conll-1.40,ghasemi-madani-minervini-2023-refer,"Mohammad Reza Ghasemi Madani and Pasquale Minervini. 2023. REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization. In Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL), pages 587–602, Singapore. Association for Computational Linguistics."
improving_a_strong_neural_parser_with_conjunctionspecific_features,April,2017.0,EACL,https://aclanthology.org/E17-2055,ficler-goldberg-2017-improving,"Jessica Ficler and Yoav Goldberg. 2017. Improving a Strong Neural Parser with Conjunction-Specific Features. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 343–348, Valencia, Spain. Association for Computational Linguistics."
a_surprisal_oracle_for_active_curriculum_language_modeling,December,2023.0,CoNLL,https://aclanthology.org/2023.conll-babylm.22,hong-etal-2023-surprisal,"Xudong Hong, Sharid Loáiciga, and Asad Sayeed. 2023. A surprisal oracle for active curriculum language modeling. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 259–268, Singapore. Association for Computational Linguistics."
pace_unified_multimodal_dialogue_pretraining_with_progressive_and_compositional_experts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
morphological_inflection_a_reality_check,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
privacy_at_scale_introducing_the_privaseer_corpus_of_web_privacy_policies,August,2021.0,,https://aclanthology.org/2021.acl-long.532,srinath-etal-2021-privacy,"Mukund Srinath, Shomir Wilson, and C Lee Giles. 2021. Privacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policies. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 6829–6839, Online. Association for Computational Linguistics."
dynamic_and_static_topic_model_for_analyzing_timeseries_document_collections,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
overestimation_of_syntactic_representation_in_neural_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
collie_collaborative_training_of_large_language_models_in_an_efficient_way,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-demo.48,lv-etal-2023-collie,"Kai Lv, Shuo Zhang, Tianle Gu, Shuhao Xing, Jiawei Hong, Keyu Chen, Xiaoran Liu, Yuqing Yang, Honglin Guo, Tengxiao Liu, Yu Sun, Qipeng Guo, Hang Yan, and Xipeng Qiu. 2023. CoLLiE: Collaborative Training of Large Language Models in an Efficient Way. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 527–542, Singapore. Association for Computational Linguistics."
deep_dynaq_integrating_planning_for_taskcompletion_dialogue_policy_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
zicl_zeroshot_incontext_learning_with_pseudodemonstrations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generating_informative_responses_with_controlled_sentence_function,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modelling_lexical_ambiguity_with_density_matrices,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dreeam_guiding_attention_with_evidence_for_improving_documentlevel_relation_extraction,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.145,ma-etal-2023-dreeam,"Youmi Ma, An Wang, and Naoaki Okazaki. 2023. DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1971–1983, Dubrovnik, Croatia. Association for Computational Linguistics."
learning_robust_models_for_ecommerce_product_search,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
targetoriented_proactive_dialogue_systems_with_personalization_problem_formulation_and_dataset_curation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_diverse_set_of_freely_available_linguistic_resources_for_turkish,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
data_augmentation_with_unsupervised_machine_translation_improves_the_structural_similarity_of_crosslingual_word_embeddings,August,2021.0,,https://aclanthology.org/2021.acl-srw.17,nishikawa-etal-2021-data,"Sosuke Nishikawa, Ryokan Ri, and Yoshimasa Tsuruoka. 2021. Data Augmentation with Unsupervised Machine Translation Improves the Structural Similarity of Cross-lingual Word Embeddings. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop, pages 163–173, Online. Association for Computational Linguistics."
postabstention_towards_reliably_reattempting_the_abstained_instances_in_qa,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
structured_sentiment_analysis_as_dependency_graph_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
diskcsv_distilling_interpretable_semantic_knowledge_with_a_class_semantic_vector,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.263,bashier-etal-2021-disk,"Housam Khalifa Bashier, Mi-Young Kim, and Randy Goebel. 2021. DISK-CSV: Distilling Interpretable Semantic Knowledge with a Class Semantic Vector. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3021–3030, Online. Association for Computational Linguistics."
chatbot_with_a_discourse_structuredriven_dialogue_management,April,2017.0,EACL,https://aclanthology.org/E17-3022,galitsky-ilvovsky-2017-chatbot,"Boris Galitsky and Dmitry Ilvovsky. 2017. Chatbot with a Discourse Structure-Driven Dialogue Management. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 87–90, Valencia, Spain. Association for Computational Linguistics."
grapal_connecting_the_dots_in_scientific_literature,July,2019.0,ACL,https://aclanthology.org/P19-3025,betts-etal-2019-grapal,"Christine Betts, Joanna Power, and Waleed Ammar. 2019. GrapAL: Connecting the Dots in Scientific Literature. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 147–152, Florence, Italy. Association for Computational Linguistics."
backdoor_attacks_in_federated_learning_by_rare_embeddings_and_gradient_ensembling,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.6,yoo-kwak-2022-backdoor,"Ki Yoon Yoo and Nojun Kwak. 2022. Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 72–88, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
humanlike_distractor_response_in_visionlanguage_model,November,2023.0,,https://aclanthology.org/2023.ijcnlp-main.12,xu-chen-2023-human,"Xiaonan Xu and Haoshuo Chen. 2023. Human-Like Distractor Response in Vision-Language Model. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 174–185, Nusa Dua, Bali. Association for Computational Linguistics."
timers_documentlevel_temporal_relation_extraction,August,2021.0,,https://aclanthology.org/2021.acl-short.67,mathur-etal-2021-timers,"Puneet Mathur, Rajiv Jain, Franck Dernoncourt, Vlad Morariu, Quan Hung Tran, and Dinesh Manocha. 2021. TIMERS: Document-level Temporal Relation Extraction. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 524–533, Online. Association for Computational Linguistics."
local_interpretation_of_transformer_based_on_linear_decomposition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
visualsparta_an_embarrassingly_simple_approach_to_largescale_texttoimage_search_with_weighted_bagofwords,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
insights_from_building_an_openended_conversational_agent,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluating_opendomain_question_answering_in_the_era_of_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
grips_gradientfree_editbased_instruction_search_for_prompting_large_language_models,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.277,prasad-etal-2023-grips,"Archiki Prasad, Peter Hase, Xiang Zhou, and Mohit Bansal. 2023. GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3845–3864, Dubrovnik, Croatia. Association for Computational Linguistics."
learning_to_merge_word_senses,June,2007.0,,https://aclanthology.org/D07-1107,snow-etal-2007-learning,"Rion Snow, Sushant Prakash, Daniel Jurafsky, and Andrew Y. Ng. 2007. Learning to Merge Word Senses. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 1005–1014, Prague, Czech Republic. Association for Computational Linguistics."
knowledgeable_reader_enhancing_clozestyle_reading_comprehension_with_external_commonsense_knowledge,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
simple_augmentations_of_logical_rules_for_neurosymbolic_knowledge_graph_completion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
speech_synthesis_model_based_on_face_landmarks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
eder_towards_understanding_dependency_relations_between_events,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.926,li-etal-2023-eder,"Ruiqi Li, Patrik Haslum, and Leyang Cui. 2023. EDeR: Towards Understanding Dependency Relations Between Events. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 14969–14983, Singapore. Association for Computational Linguistics."
a_mission_for_computational_natural_language_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
xprompt_exploring_the_extreme_of_prompt_tuning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
camouflaged_chinese_spam_content_detection_with_semisupervised_generative_active_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
composing_elementary_discourse_units_in_abstractive_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
zeroshot_learners_for_natural_language_understanding_via_a_unified_multiple_choice_perspective,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.474,yang-etal-2022-zero,"Ping Yang, Junjie Wang, Ruyi Gan, Xinyu Zhu, Lin Zhang, Ziwei Wu, Xinyu Gao, Jiaxing Zhang, and Tetsuya Sakai. 2022. Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice Perspective. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7042–7055, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
banglaabusememe_a_dataset_for_bengali_abusive_meme_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dissecting_recall_of_factual_associations_in_autoregressive_language_models,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.751,geva-etal-2023-dissecting,"Mor Geva, Jasmijn Bastings, Katja Filippova, and Amir Globerson. 2023. Dissecting Recall of Factual Associations in Auto-Regressive Language Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12216–12235, Singapore. Association for Computational Linguistics."
alignment_verification_to_improve_nmt_translation_towards_highly_inflectional_languages_with_limited_resources,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.158,tambouratzis-2021-alignment,"George Tambouratzis. 2021. Alignment verification to improve NMT translation towards highly inflectional languages with limited resources. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1841–1851, Online. Association for Computational Linguistics."
r4c_a_benchmark_for_evaluating_rc_systems_to_get_the_right_answer_for_the_right_reason,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
assessing_combinational_generalization_of_language_models_in_biased_scenarios,November,2022.0,,https://aclanthology.org/2022.aacl-short.48,fang-etal-2022-assessing,"Yanbo Fang, Zuohui Fu, Xin Dong, Yongfeng Zhang, and Gerard de Melo. 2022. Assessing Combinational Generalization of Language Models in Biased Scenarios. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 392–397, Online only. Association for Computational Linguistics."
unified_contextual_query_rewriting,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
textfree_imagetospeech_synthesis_using_learned_segmental_units,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
supervised_adversarial_contrastive_learning_for_emotion_recognition_in_conversations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
coupling_distant_annotation_and_adversarial_training_for_crossdomain_chinese_word_segmentation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
olea_tool_and_infrastructure_for_offensive_language_error_analysis_in_english,May,2023.0,EACL,https://aclanthology.org/2023.eacl-demo.24,grace-etal-2023-olea,"Marie Grace, Jay Seabrum, Dananjay Srinivas, and Alexis Palmer. 2023. OLEA: Tool and Infrastructure for Offensive Language Error Analysis in English. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 209–218, Dubrovnik, Croatia. Association for Computational Linguistics."
emailsum_abstractive_email_thread_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
plausible_may_not_be_faithful_probing_object_hallucination_in_visionlanguage_pretraining,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.156,dai-etal-2023-plausible,"Wenliang Dai, Zihan Liu, Ziwei Ji, Dan Su, and Pascale Fung. 2023. Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2136–2148, Dubrovnik, Croatia. Association for Computational Linguistics."
design_challenges_and_misconceptions_in_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
transformation_networks_for_targetoriented_sentiment_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
smarties_sentiment_models_for_arabic_target_entities,April,2017.0,EACL,https://aclanthology.org/E17-1094,farra-mckeown-2017-smarties,"Noura Farra and Kathy McKeown. 2017. SMARTies: Sentiment Models for Arabic Target entities. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 1002–1013, Valencia, Spain. Association for Computational Linguistics."
controllable_text_simplification_with_deep_reinforcement_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multimodal_and_multiresolution_speech_recognition_with_transformers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
searching_for_search_errors_in_neural_morphological_inflection,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.118,forster-etal-2021-searching,"Martina Forster, Clara Meister, and Ryan Cotterell. 2021. Searching for Search Errors in Neural Morphological Inflection. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1388–1394, Online. Association for Computational Linguistics."
citationie_leveraging_the_citation_graph_for_scientific_information_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mvp_multiview_prompting_improves_aspect_sentiment_tuple_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatic_grammatical_error_correction_for_sequencetosequence_text_generation_an_empirical_study,September,1969.0,COLING,https://aclanthology.org/C69-0701,szanser-1969-automatic,"A.J. Szanser. 1969. Automatic error-correction in natural languages. In International Conference on Computational Linguistics COLING 1969: Preprint No. 7, Sånga Säby, Sweden."
discoscore_evaluating_text_generation_with_bert_and_discourse_coherence,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.278,zhao-etal-2023-discoscore,"Wei Zhao, Michael Strube, and Steffen Eger. 2023. DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3865–3883, Dubrovnik, Croatia. Association for Computational Linguistics."
transitionbased_spinal_parsing,July,2015.0,CoNLL,https://aclanthology.org/K15-1029,ballesteros-carreras-2015-transition,"Miguel Ballesteros and Xavier Carreras. 2015. Transition-based Spinal Parsing. In Proceedings of the Nineteenth Conference on Computational Natural Language Learning, pages 289–299, Beijing, China. Association for Computational Linguistics."
literary_event_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_entity_linking_with_guided_summarization_and_multiplechoice_selection,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.638,cho-etal-2022-unsupervised,"Young Min Cho, Li Zhang, and Chris Callison-Burch. 2022. Unsupervised Entity Linking with Guided Summarization and Multiple-Choice Selection. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9394–9401, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
pretraining_with_contrastive_sentence_objectives_improves_discourse_performance_of_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semaxis_a_lightweight_framework_to_characterize_domainspecific_word_semantics_beyond_sentiment,July,2018.0,ACL,https://aclanthology.org/P18-1228,an-etal-2018-semaxis,"Jisun An, Haewoon Kwak, and Yong-Yeol Ahn. 2018. SemAxis: A Lightweight Framework to Characterize Domain-Specific Word Semantics Beyond Sentiment. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2450–2461, Melbourne, Australia. Association for Computational Linguistics."
transfer_learning_for_contextaware_question_matching_in_informationseeking_conversations_in_ecommerce,July,2018.0,ACL,https://aclanthology.org/P18-2034,qiu-etal-2018-transfer,"Minghui Qiu, Liu Yang, Feng Ji, Wei Zhou, Jun Huang, Haiqing Chen, Bruce Croft, and Wei Lin. 2018. Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 208–213, Melbourne, Australia. Association for Computational Linguistics."
textblueprint_an_interactive_platform_for_planbased_conditional_generation,May,2023.0,EACL,https://aclanthology.org/2023.eacl-demo.13,huot-etal-2023-text,"Fantine Huot, Joshua Maynez, Shashi Narayan, Reinald Kim Amplayo, Kuzman Ganchev, Annie Priyadarshini Louis, Anders Sandholm, Dipanjan Das, and Mirella Lapata. 2023. Text-Blueprint: An Interactive Platform for Plan-based Conditional Generation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 105–116, Dubrovnik, Croatia. Association for Computational Linguistics."
enhancing_sequencetosequence_neural_lemmatization_with_external_resources,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.272,milintsevich-sirts-2021-enhancing,"Kirill Milintsevich and Kairit Sirts. 2021. Enhancing Sequence-to-Sequence Neural Lemmatization with External Resources. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3112–3122, Online. Association for Computational Linguistics."
an_improved_model_for_voicing_silent_speech,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
premisebased_multimodal_reasoning_conditional_inference_on_joint_textual_and_visual_clues,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
negative_sampling_improves_hypernymy_extraction_based_on_projection_learning,April,2017.0,EACL,https://aclanthology.org/E17-2087,ustalov-etal-2017-negative,"Dmitry Ustalov, Nikolay Arefyev, Chris Biemann, and Alexander Panchenko. 2017. Negative Sampling Improves Hypernymy Extraction Based on Projection Learning. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 543–550, Valencia, Spain. Association for Computational Linguistics."
a_diachronic_analysis_of_paradigm_shifts_in_nlp_research_when_how_and_why,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
attention_as_a_guide_for_simultaneous_speech_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
inferring_selectional_preferences_from_partofspeech_ngrams,April,2012.0,EACL,https://aclanthology.org/E12-1038,jang-mostow-2012-inferring,"Hyeju Jang and Jack Mostow. 2012. Inferring Selectional Preferences from Part-Of-Speech N-grams. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 377–386, Avignon, France. Association for Computational Linguistics."
bitiimt_a_bilingual_textinfilling_method_for_interactive_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fedtherapist_mental_health_monitoring_with_usergenerated_linguistic_expressions_on_smartphones_via_federated_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
extracting_or_guessing_improving_faithfulness_of_event_temporal_relation_extraction,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.39,wang-etal-2023-extracting,"Haoyu Wang, Hongming Zhang, Yuqian Deng, Jacob Gardner, Dan Roth, and Muhao Chen. 2023. Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 541–553, Dubrovnik, Croatia. Association for Computational Linguistics."
a_joint_learning_framework_for_restaurant_survival_prediction_and_explanation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.216,li-etal-2022-joint,"Xin Li, Xiaojie Zhang, Peng JiaHao, Rui Mao, Mingyang Zhou, Xing Xie, and Hao Liao. 2022. A Joint Learning Framework for Restaurant Survival Prediction and Explanation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3285–3297, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
from_english_to_codeswitching_transfer_learning_with_strong_morphological_clues,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.716,aguilar-solorio-2020-english,"Gustavo Aguilar and Thamar Solorio. 2020. From English to Code-Switching: Transfer Learning with Strong Morphological Clues. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8033–8044, Online. Association for Computational Linguistics."
selfguided_contrastive_learning_for_bert_sentence_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
distributed_marker_representation_for_ambiguous_discourse_markers_and_entangled_relations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
understanding_points_of_correspondence_between_sentences_for_abstractive_summarization,July,2020.0,ACL,https://aclanthology.org/2020.acl-srw.26,lebanoff-etal-2020-understanding,"Logan Lebanoff, John Muchovej, Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang, and Fei Liu. 2020. Understanding Points of Correspondence between Sentences for Abstractive Summarization. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 191–198, Online. Association for Computational Linguistics."
reorder_and_then_parse_fast_and_accurate_discontinuous_constituency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
revisiting_automated_prompting_are_we_actually_doing_better,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
zeroshot_endtoend_spoken_language_understanding_via_crossmodal_selective_selftraining,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.137,he-etal-2024-zero,"Jianfeng He, Julian Salazar, Kaisheng Yao, Haoqi Li, and Jason Cai. 2024. Zero-Shot End-to-End Spoken Language Understanding via Cross-Modal Selective Self-Training. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2239–2256, St. Julian’s, Malta. Association for Computational Linguistics."
peerda_data_augmentation_via_modeling_peer_relation_for_span_identification_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
illustrative_language_understanding_largescale_visual_grounding_with_image_search,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
instance_based_lexical_entailment_for_ontology_population,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
incorporating_distributions_of_discourse_structure_for_long_document_abstractive_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
contextual_knowledge_learning_for_dialogue_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
subword_evenness_sue_as_a_predictor_of_crosslingual_transfer_to_lowresource_languages,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.503,pelloni-etal-2022-subword,"Olga Pelloni, Anastassia Shaitarova, and Tanja Samardzic. 2022. Subword Evenness (SuE) as a Predictor of Cross-lingual Transfer to Low-resource Languages. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7428–7445, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
openvna_a_framework_for_analyzing_the_behavior_of_multimodal_language_understanding_system_under_noisy_scenarios,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
extend_extractive_entity_disambiguation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
source_identification_in_abstractive_summarization,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.20,suhara-alikaniotis-2024-source,"Yoshi Suhara and Dimitris Alikaniotis. 2024. Source Identification in Abstractive Summarization. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 212–224, St. Julian’s, Malta. Association for Computational Linguistics."
a_nearestneighbor_approach_to_the_automatic_analysis_of_ancient_greek_morphology,August,2008.0,CoNLL,https://aclanthology.org/W08-2117,lee-2008-nearest,"John Lee. 2008. A Nearest-Neighbor Approach to the Automatic Analysis of Ancient Greek Morphology. In CoNLL 2008: Proceedings of the Twelfth Conference on Computational Natural Language Learning, pages 127–134, Manchester, England. Coling 2008 Organizing Committee."
measuring_fairness_of_text_classifiers_via_prediction_sensitivity,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_neural_singledocument_summarization_of_reviews_via_learning_latent_discourse_structure_and_its_ranking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_pronoun_translation_for_statistical_machine_translation,April,2012.0,EACL,https://aclanthology.org/E12-3001,guillou-2012-improving,"Liane Guillou. 2012. Improving Pronoun Translation for Statistical Machine Translation. In Proceedings of the Student Research Workshop at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 1–10, Avignon, France. Association for Computational Linguistics."
counterfactual_recipe_generation_exploring_compositional_generalization_in_a_realistic_scenario,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.497,liu-etal-2022-counterfactual,"Xiao Liu, Yansong Feng, Jizhi Tang, Chengang Hu, and Dongyan Zhao. 2022. Counterfactual Recipe Generation: Exploring Compositional Generalization in a Realistic Scenario. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7354–7370, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
latent_variable_models_for_semantic_orientations_of_phrases,April,2006.0,EACL,https://aclanthology.org/E06-1026,takamura-etal-2006-latent,"Hiroya Takamura, Takashi Inui, and Manabu Okumura. 2006. Latent Variable Models for Semantic Orientations of Phrases. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 201–208, Trento, Italy. Association for Computational Linguistics."
sentence_representation_learning_with_generative_objective_rather_than_contrastive_objective,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.221,wu-zhao-2022-sentence,"Bohong Wu and Hai Zhao. 2022. Sentence Representation Learning with Generative Objective rather than Contrastive Objective. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3356–3368, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
training_neural_machine_translation_to_apply_terminology_constraints,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_spanbased_dynamic_local_attention_model_for_sequential_sentence_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
retromae_pretraining_retrievaloriented_language_models_via_masked_autoencoder,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crosslingual_transfer_with_languagespecific_subnetworks_for_lowresource_dependency_parsing,September,2023.0,CL,https://aclanthology.org/2023.cl-3.3,choenni-etal-2023-cross,"Rochelle Choenni, Dan Garrette, and Ekaterina Shutova. 2023. Cross-Lingual Transfer with Language-Specific Subnetworks for Low-Resource Dependency Parsing. Computational Linguistics:613–641."
learning_morphosyntactic_analyzers_from_the_bible_via_iterative_annotation_projection_across_26_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sourceside_preordering_for_translation_using_logistic_regression_and_depthfirst_branchandbound_search,April,2014.0,EACL,https://aclanthology.org/E14-1026,jehl-etal-2014-source,"Laura Jehl, Adrià de Gispert, Mark Hopkins, and Bill Byrne. 2014. Source-side Preordering for Translation using Logistic Regression and Depth-first Branch-and-Bound Search. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 239–248, Gothenburg, Sweden. Association for Computational Linguistics."
selfattention_networks_can_process_bounded_hierarchical_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
debie_a_platform_for_implicit_and_explicit_debiasing_of_word_embedding_spaces,April,2021.0,EACL,https://aclanthology.org/2021.eacl-demos.11,friedrich-etal-2021-debie,"Niklas Friedrich, Anne Lauscher, Simone Paolo Ponzetto, and Goran Glavaš. 2021. DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding Spaces. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 91–98, Online. Association for Computational Linguistics."
machine_translation_into_lowresource_language_varieties,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
structureunified_mtree_coding_solver_for_math_word_problem,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.556,wang-etal-2022-structure,"Bin Wang, Jiangzhou Ju, Yang Fan, Xinyu Dai, Shujian Huang, and Jiajun Chen. 2022. Structure-Unified M-Tree Coding Solver for Math Word Problem. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8122–8132, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
weakly_supervised_approaches_for_ontology_population,April,2006.0,EACL,https://aclanthology.org/E06-1003,tanev-magnini-2006-weakly,"Hristo Tanev and Bernardo Magnini. 2006. Weakly Supervised Approaches for Ontology Population. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 17–24, Trento, Italy. Association for Computational Linguistics."
detecting_errors_within_a_corpus_using_anomaly_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
convgqr_generative_query_reformulation_for_conversational_search,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lexfit_lexical_finetuning_of_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fortap_using_formulas_for_numericalreasoningaware_table_pretraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multinews_a_largescale_multidocument_summarization_dataset_and_abstractive_hierarchical_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
simcls_a_simple_framework_for_contrastive_learning_of_abstractive_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unirel_unified_representation_and_interaction_for_joint_relational_triple_extraction,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.477,tang-etal-2022-unirel,"Wei Tang, Benfeng Xu, Yuyue Zhao, Zhendong Mao, Yifeng Liu, Yong Liao, and Haiyong Xie. 2022. UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7087–7099, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
bootstrapped_training_of_event_extraction_classifiers,April,2012.0,EACL,https://aclanthology.org/E12-1029,huang-riloff-2012-bootstrapped,"Ruihong Huang and Ellen Riloff. 2012. Bootstrapped Training of Event Extraction Classifiers. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 286–295, Avignon, France. Association for Computational Linguistics."
tacube_precomputing_data_cubes_for_answering_numericalreasoning_questions_over_tabular_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_statistical_language_modeling_approach_to_latticebased_spoken_document_retrieval,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gpttoo_a_languagemodelfirst_approach_for_amrtotext_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
okapi_instructiontuned_large_language_models_in_multiple_languages_with_reinforcement_learning_from_human_feedback,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-demo.28,lai-etal-2023-okapi,"Viet Lai, Chien Nguyen, Nghia Ngo, Thuat Nguyen, Franck Dernoncourt, Ryan Rossi, and Thien Nguyen. 2023. Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 318–327, Singapore. Association for Computational Linguistics."
metalearning_to_compositionally_generalize,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fair_enough_standardizing_evaluation_and_model_selection_for_fairness_research_in_nlp,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.23,han-etal-2023-fair,"Xudong Han, Timothy Baldwin, and Trevor Cohn. 2023. Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 297–312, Dubrovnik, Croatia. Association for Computational Linguistics."
crosslingual_named_entity_recognition_via_wikification,August,2016.0,CoNLL,https://aclanthology.org/K16-1022,tsai-etal-2016-cross,"Chen-Tse Tsai, Stephen Mayhew, and Dan Roth. 2016. Cross-Lingual Named Entity Recognition via Wikification. In Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, pages 219–228, Berlin, Germany. Association for Computational Linguistics."
invited_talk_nlp_and_the_humanities_the_revival_of_an_old_liaison,March,2009.0,EACL,https://aclanthology.org/E09-1002,de-jong-2009-invited,"Franciska de Jong. 2009. Invited Talk: NLP and the Humanities: The Revival of an Old Liaison. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 10–15, Athens, Greece. Association for Computational Linguistics."
cbseas_a_summarization_system__integration_of_opinion_mining_techniques_to_summarize_blogs,April,2009.0,EACL,https://aclanthology.org/E09-2002,bossard-etal-2009-cbseas,"Aurélien Bossard, Michel Généreux, and Thierry Poibeau. 2009. CBSEAS, a Summarization System – Integration of Opinion Mining Techniques to Summarize Blogs. In Proceedings of the Demonstrations Session at EACL 2009, pages 5–8, Athens, Greece. Association for Computational Linguistics."
schemaguided_user_satisfaction_modeling_for_taskoriented_dialogues,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
what_does_the_sea_say_to_the_shore_a_bert_based_dst_style_approach_for_speaker_to_dialogue_attribution_in_novels,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_challenges_of_fully_incremental_neural_dependency_parsing,November,2023.0,,https://aclanthology.org/2023.ijcnlp-short.7,ezquerro-etal-2023-challenges,"Ana Ezquerro, Carlos Gómez-Rodríguez, and David Vilares. 2023. On the Challenges of Fully Incremental Neural Dependency Parsing. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 52–66, Nusa Dua, Bali. Association for Computational Linguistics."
illinoiscoref_the_ui_system_in_the_conll2012_shared_task,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
argument_invention_from_first_principles,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_approach_to_summarizing_short_stories,,2006.0,EACL,https://aclanthology.org/E06-3003,kazantseva-2006-approach,"Anna Kazantseva. 2006. An Approach to Summarizing Short Stories. In Student Research Workshop, pages 55–62."
factual_or_contextual_disentangling_error_types_in_entity_description_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
buca_a_binary_classification_approach_to_unsupervised_commonsense_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_closer_look_at_fewshot_crosslingual_transfer_the_choice_of_shots_matters,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
how_does_nlp_benefit_legal_system_a_summary_of_legal_artificial_intelligence,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cnautomic_distilling_chinese_commonsense_knowledge_from_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
common_sense_beyond_english_evaluating_and_improving_multilingual_language_models_for_commonsense_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_unification_of_discourse_annotation_frameworks,May,2022.0,ACL,https://aclanthology.org/2022.acl-srw.12,fu-2022-towards,"Yingxue Fu. 2022. Towards Unification of Discourse Annotation Frameworks. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 132–142, Dublin, Ireland. Association for Computational Linguistics."
learning_to_find_english_to_chinese_transliterations_on_the_web,June,2007.0,,https://aclanthology.org/D07-1106,wu-chang-2007-learning,"Jian-Cheng Wu and Jason S. Chang. 2007. Learning to Find English to Chinese Transliterations on the Web. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 996–1004, Prague, Czech Republic. Association for Computational Linguistics."
depressmind_a_depression_surveillance_system_for_social_media_analysis,March,2024.0,EACL,https://aclanthology.org/2024.eacl-demo.5,fernandez-iglesias-etal-2024-depressmind,"Roque Fernández-Iglesias, Marcos Fernandez-Pichel, Mario Aragon, and David E. Losada. 2024. DepressMind: A Depression Surveillance System for Social Media Analysis. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 35–43, St. Julians, Malta. Association for Computational Linguistics."
faviq_fact_verification_from_informationseeking_questions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_comparative_evaluation_of_deep_and_shallow_approaches_to_the_automatic_detection_of_common_grammatical_errors,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
joint_models_for_answer_verification_in_question_answering_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generating_responses_with_a_specific_emotion_in_dialog,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
situated_mapping_of_sequential_instructions_to_actions_with_singlestep_reward_observation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_emphasis_selection_for_written_text_in_visual_media_from_crowdsourced_label_distributions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
attending_selfattention_a_case_study_of_visually_grounded_supervision_in_visionandlanguage_transformers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
midmed_towards_mixedtype_dialogues_for_medical_consultation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
graph_pretraining_for_amr_parsing_and_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_a_more_robust_evaluation_for_conversational_question_answering,August,2021.0,,https://aclanthology.org/2021.acl-short.130,siblini-etal-2021-towards,"Wissam Siblini, Baris Sayil, and Yacine Kessaci. 2021. Towards a more Robust Evaluation for Conversational Question Answering. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 1028–1034, Online. Association for Computational Linguistics."
disentangled_sequence_to_sequence_learning_for_compositional_generalization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
taskoriented_learning_of_word_embeddings_for_semantic_relation_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
alternating_recurrent_dialog_model_with_largescale_pretrained_language_models,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.110,wu-etal-2021-alternating,"Qingyang Wu, Yichi Zhang, Yu Li, and Zhou Yu. 2021. Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1292–1301, Online. Association for Computational Linguistics."
on_prefixtuning_for_lightweight_outofdistribution_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
clqr_crosslingual_enhanced_query_reformulation_for_multilingual_conversational_ai_agents,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.40,sun-etal-2023-cl,"Zhongkai Sun, Zhengyang Zhao, Sixing Lu, Chengyuan Ma, Xiaohu Liu, Xing Fan, Wei Shen, and Chenlei Guo. 2023. CL-QR: Cross-Lingual Enhanced Query Reformulation for Multi-lingual Conversational AI Agents. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 423–431, Singapore. Association for Computational Linguistics."
a_novel_tabletograph_generation_approach_for_documentlevel_joint_entity_and_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
knowledge_graph_compression_enhances_diverse_commonsense_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_a_unified_named_entity_tagger_from_multiple_partially_annotated_corpora_for_efficient_adaptation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
how_knowledge_graph_and_attention_help_a_qualitative_analysis_into_baglevel_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
logical_natural_language_generation_from_opendomain_tables,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.708,chen-etal-2020-logical,"Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen, and William Yang Wang. 2020. Logical Natural Language Generation from Open-Domain Tables. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 7929–7942, Online. Association for Computational Linguistics."
guided_kbest_selection_for_semantic_parsing_annotation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
how_well_apply_simple_mlp_to_incomplete_utterance_rewriting,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.134,li-etal-2023-well,"Jiang Li, Xiangdong Su, Xinlan Ma, and Guanglai Gao. 2023. How Well Apply Simple MLP to Incomplete Utterance Rewriting?. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1567–1576, Toronto, Canada. Association for Computational Linguistics."
relating_rnn_layers_with_the_spectral_wfa_ranks_in_sequence_modelling,August,2019.0,ACL,https://aclanthology.org/W19-3903,liza-grzes-2019-relating,"Farhana Ferdousi Liza and Marek Grzes. 2019. Relating RNN Layers with the Spectral WFA Ranks in Sequence Modelling. In Proceedings of the Workshop on Deep Learning and Formal Languages: Building Bridges, pages 24–33, Florence. Association for Computational Linguistics."
rethinking_response_evaluation_from_interlocutors_eye_for_opendomain_dialogue_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
large_margin_synchronous_generation_and_its_application_to_sentence_compression,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
partofspeech_tagging_for_middle_english_through_alignment_and_projection_of_parallel_diachronic_texts,June,2007.0,,https://aclanthology.org/D07-1041,moon-baldridge-2007-part,"Taesun Moon and Jason Baldridge. 2007. Part-of-Speech Tagging for Middle English through Alignment and Projection of Parallel Diachronic Texts. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 390–399, Prague, Czech Republic. Association for Computational Linguistics."
legal_judgment_prediction_via_event_extraction_with_constraints,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
conversational_word_embedding_for_retrievalbased_dialog_system,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
representative_demonstration_selection_for_incontext_learning_with_twostage_determinantal_point_process,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
complex_question_answering_on_knowledge_graphs_using_machine_translation_and_multitask_learning,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.300,srivastava-etal-2021-complex,"Saurabh Srivastava, Mayur Patidar, Sudip Chowdhury, Puneet Agarwal, Indrajit Bhattacharya, and Gautam Shroff. 2021. Complex Question Answering on knowledge graphs using machine translation and multi-task learning. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3428–3439, Online. Association for Computational Linguistics."
qudeval_the_evaluation_of_questions_under_discussion_discourse_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ctl_evaluating_generalization_on_neverseen_compositional_patterns_of_known_functions_and_compatibility_of_neural_representations,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.662,csordas-etal-2022-ctl,"Róbert Csordás, Kazuki Irie, and Juergen Schmidhuber. 2022. CTL++: Evaluating Generalization on Never-Seen Compositional Patterns of Known Functions, and Compatibility of Neural Representations. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9758–9767, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
query_enhanced_knowledgeintensive_conversation_via_unsupervised_joint_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
personalized_dense_retrieval_on_global_index_for_voiceenabled_conversational_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
forecastqa_a_question_answering_challenge_for_event_forecasting_with_temporal_text_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cdconv_a_benchmark_for_contradiction_detection_in_chinese_conversations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_compositional_generalization_in_classification_tasks_via_structure_annotations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
secondorder_semantic_dependency_parsing_with_endtoend_neural_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_summarization_of_consumer_health_questions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
graphbased_relation_mining_for_contextfree_outofvocabulary_word_embedding_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multimodal_robustness_for_neural_machine_translation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.582,zhao-calapodescu-2022-multimodal,"Yuting Zhao and Ioan Calapodescu. 2022. Multimodal Robustness for Neural Machine Translation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8505–8516, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
mirrorwic_on_eliciting_wordincontext_representations_from_pretrained_language_models,November,2021.0,CoNLL,https://aclanthology.org/2021.conll-1.44,liu-etal-2021-mirrorwic,"Qianchu Liu, Fangyu Liu, Nigel Collier, Anna Korhonen, and Ivan Vulić. 2021. MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models. In Proceedings of the 25th Conference on Computational Natural Language Learning, pages 562–574, Online. Association for Computational Linguistics."
active_learning_for_natural_language_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
alambic__active_learning_automation_methods_to_battle_inefficient_curation,May,2023.0,EACL,https://aclanthology.org/2023.eacl-demo.14,nachtegael-etal-2023-alambic,"Charlotte Nachtegael, Jacopo De Stefani, and Tom Lenaerts. 2023. ALAMBIC : Active Learning Automation Methods to Battle Inefficient Curation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 117–127, Dubrovnik, Croatia. Association for Computational Linguistics."
teacher_intervention_improving_convergence_of_quantization_aware_training_for_ultralow_precision_transformers,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.64,kim-etal-2023-teacher,"Minsoo Kim, Kyuhong Shim, Seongmin Park, Wonyong Sung, and Jungwook Choi. 2023. Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 916–929, Dubrovnik, Croatia. Association for Computational Linguistics."
fastdial_abstracting_dialogue_policies_for_fast_development_of_task_oriented_agents,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploiting_invertible_decoders_for_unsupervised_sentence_representation_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
effects_of_subword_segmentation_on_performance_of_transformer_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
normalized_contrastive_learning_for_textvideo_retrieval,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.17,park-etal-2022-normalized,"Yookoon Park, Mahmoud Azab, Seungwhan Moon, Bo Xiong, Florian Metze, Gourab Kundu, and Kirmani Ahmed. 2022. Normalized Contrastive Learning for Text-Video Retrieval. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 248–260, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
promptfree_and_efficient_fewshot_learning_with_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
causalityguided_multimemory_interaction_network_for_multivariate_stock_price_movement_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
slate_a_superlightweight_annotation_tool_for_experts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
revisiting_oversmoothness_in_text_to_speech,May,2022.0,ACL,https://aclanthology.org/2022.acl-long.564,ren-etal-2022-revisiting,"Yi Ren, Xu Tan, Tao Qin, Zhou Zhao, and Tie-Yan Liu. 2022. Revisiting Over-Smoothness in Text to Speech. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 8197–8213, Dublin, Ireland. Association for Computational Linguistics."
inducing_positive_perspectives_with_text_reframing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
autoaugment_is_what_you_need_enhancing_rulebased_augmentation_methods_in_lowresource_regimes,March,2024.0,EACL,https://aclanthology.org/2024.eacl-srw.1,choi-etal-2024-autoaugment,"Juhwan Choi, Kyohoon Jin, Junho Lee, Sangmin Song, and YoungBin Kim. 2024. AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 1–8, St. Julian’s, Malta. Association for Computational Linguistics."
deformer_decomposing_pretrained_transformers_for_faster_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
matekd_masked_adversarial_text_a_companion_to_knowledge_distillation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
effects_of_word_confusion_networks_on_voice_search,March,2009.0,EACL,https://aclanthology.org/E09-1028,feng-bangalore-2009-effects,"Junlan Feng and Srinivas Bangalore. 2009. Effects of Word Confusion Networks on Voice Search. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 238–245, Athens, Greece. Association for Computational Linguistics."
a_localized_geometric_method_to_match_knowledge_in_lowdimensional_hyperbolic_space,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.182,hui-etal-2022-localized,"Bo Hui, Tian Xia, and Wei-Shinn Ku. 2022. A Localized Geometric Method to Match Knowledge in Low-dimensional Hyperbolic Space. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 2822–2832, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
a_probabilistic_model_of_syntactic_and_semantic_acquisition_from_childdirected_utterances_and_their_meanings,April,2012.0,EACL,https://aclanthology.org/E12-1024,kwiatkowski-etal-2012-probabilistic,"Tom Kwiatkowski, Sharon Goldwater, Luke Zettlemoyer, and Mark Steedman. 2012. A Probabilistic Model of Syntactic and Semantic Acquisition from Child-Directed Utterances and their Meanings. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 234–244, Avignon, France. Association for Computational Linguistics."
coda21_evaluating_language_understanding_capabilities_of_nlp_models_with_contextdefinition_alignment,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.92,senel-etal-2022-coda21,"Lütfi Kerem Senel, Timo Schick, and Hinrich Schuetze. 2022. CoDA21: Evaluating Language Understanding Capabilities of NLP Models With Context-Definition Alignment. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 815–824, Dublin, Ireland. Association for Computational Linguistics."
a_system_for_multilingual_dependency_parsing_based_on_bidirectional_lstm_feature_representations,August,2017.0,CoNLL,https://aclanthology.org/K17-3006,lim-poibeau-2017-system,"KyungTae Lim and Thierry Poibeau. 2017. A System for Multilingual Dependency Parsing based on Bidirectional LSTM Feature Representations. In Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 63–70, Vancouver, Canada. Association for Computational Linguistics."
convtrans_transforming_web_search_sessions_for_conversational_dense_retrieval,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.190,mao-etal-2022-convtrans,"Kelong Mao, Zhicheng Dou, Hongjin Qian, Fengran Mo, Xiaohua Cheng, and Zhao Cao. 2022. ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 2935–2946, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
multilingual_estimation_of_politicalparty_positioning_from_label_aggregation_to_longinput_transformers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
embedding_imputation_with_grounded_language_information,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_systematic_review_of_reproducibility_research_in_natural_language_processing,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.29,belz-etal-2021-systematic,"Anya Belz, Shubham Agarwal, Anastasia Shimorina, and Ehud Reiter. 2021. A Systematic Review of Reproducibility Research in Natural Language Processing. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 381–393, Online. Association for Computational Linguistics."
generating_edu_extracts_for_planguided_summary_reranking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
you_only_need_one_model_for_opendomain_question_answering,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.198,lee-etal-2022-need,"Haejun Lee, Akhil Kedia, Jongwon Lee, Ashwin Paranjape, Christopher Manning, and Kyoung-Gu Woo. 2022. You Only Need One Model for Open-domain Question Answering. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3047–3060, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
a_distributional_and_orthographic_aggregation_model_for_english_derivational_morphology,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
wikimatrix_mining_135m_parallel_sentences_in_1620_language_pairs_from_wikipedia,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.115,schwenk-etal-2021-wikimatrix,"Holger Schwenk, Vishrav Chaudhary, Shuo Sun, Hongyu Gong, and Francisco Guzmán. 2021. WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1351–1361, Online. Association for Computational Linguistics."
a_targeted_assessment_of_incremental_processing_in_neural_language_models_and_humans,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
named_entity_recognition_in_multilevel_contexts,December,2020.0,AACL,https://aclanthology.org/2020.aacl-main.22,chen-etal-2020-named,"Yubo Chen, Chuhan Wu, Tao Qi, Zhigang Yuan, and Yongfeng Huang. 2020. Named Entity Recognition in Multi-level Contexts. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, pages 181–190, Suzhou, China. Association for Computational Linguistics."
chase_a_largescale_and_pragmatic_chinese_dataset_for_crossdatabase_contextdependent_texttosql,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tailoring_instructions_to_students_learning_levels_boosts_knowledge_distillation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adkd_attributiondriven_knowledge_distillation_for_language_model_compression,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
usnea_an_authorship_tool_for_interactive_fiction_using_retrieval_based_semantic_parsing,July,2020.0,ACL,https://aclanthology.org/2020.acl-demos.29,swanson-smus-2020-usnea,"Ben Swanson and Boris Smus. 2020. Usnea: An Authorship Tool for Interactive Fiction using Retrieval Based Semantic Parsing. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 263–269, Online. Association for Computational Linguistics."
passagemask_a_learnable_regularization_strategy_for_retrieverreader_models,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.260,zhang-etal-2022-passage,"Shujian Zhang, Chengyue Gong, and Xingchao Liu. 2022. Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3931–3943, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
conversations_gone_awry_detecting_early_signs_of_conversational_failure,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
embarrassingly_simple_unsupervised_aspect_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_devil_is_in_the_details_on_models_and_training_regimes_for_fewshot_intent_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_shifted_and_the_overlooked_a_taskoriented_investigation_of_usergpt_interactions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
empower_entity_set_expansion_via_language_model_probing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_pretraining_techniques_for_codeswitched_nlp,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_selfenhancement_multitask_framework_for_unsupervised_aspect_category_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
forgedganbert_authorship_attribution_for_llmgenerated_forged_novels,March,2024.0,EACL,https://aclanthology.org/2024.eacl-srw.26,silva-etal-2024-forged,"Kanishka Silva, Ingo Frommholz, Burcu Can, Fred Blain, Raheem Sarwar, and Laura Ugolini. 2024. Forged-GAN-BERT: Authorship Attribution for LLM-Generated Forged Novels. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 325–337, St. Julian’s, Malta. Association for Computational Linguistics."
using_rbmt_systems_to_produce_bilingual_corpus_for_smt,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lexsubcon_integrating_knowledge_from_lexical_resources_into_contextual_embeddings_for_lexical_substitution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_unified_generative_framework_for_aspectbased_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
aligning_large_and_small_language_models_via_chainofthought_reasoning,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.109,ranaldi-freitas-2024-aligning,"Leonardo Ranaldi and Andre Freitas. 2024. Aligning Large and Small Language Models via Chain-of-Thought Reasoning. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1812–1827, St. Julian’s, Malta. Association for Computational Linguistics."
towards_more_equitable_question_answering_systems_how_much_more_data_do_you_need,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hidden_biases_in_unreliable_news_detection_datasets,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.211,zhou-etal-2021-hidden,"Xiang Zhou, Heba Elfardy, Christos Christodoulopoulos, Thomas Butler, and Mohit Bansal. 2021. Hidden Biases in Unreliable News Detection Datasets. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2482–2492, Online. Association for Computational Linguistics."
upstream_mitigation_is_not_all_you_need_testing_the_bias_transfer_hypothesis_in_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
do_you_know_that_florence_is_packed_with_visitors_evaluating_stateoftheart_models_of_speaker_commitment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sentiment_tagging_with_partial_labels_using_modular_architectures,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generating_hashtags_for_shortform_videos_with_guided_signals,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
global_optimization_under_length_constraint_for_neural_text_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
more_identifiable_yet_equally_performant_transformers_for_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_entity_linking_by_modeling_latent_relations_between_mentions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
labeled_morphological_segmentation_with_semimarkov_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lipschitz_constrained_parameter_initialization_for_deep_transformers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_stance_detection_for_social_media_discussions_a_generic_baseline,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.107,sutter-etal-2024-unsupervised,"Maia Sutter, Antoine Gourru, Amine Trabelsi, and Christine Largeron. 2024. Unsupervised stance detection for social media discussions: A generic baseline. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1782–1792, St. Julian’s, Malta. Association for Computational Linguistics."
unsupervised_neural_machine_translation_for_lowresource_domains_via_metalearning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
made_of_steel_learning_plausible_materials_for_components_in_the_vehicle_repair_domain,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.104,eichel-etal-2023-made,"Annerose Eichel, Helena Schlipf, and Sabine Schulte im Walde. 2023. Made of Steel? Learning Plausible Materials for Components in the Vehicle Repair Domain. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1420–1435, Dubrovnik, Croatia. Association for Computational Linguistics."
entity_tracking_via_effective_use_of_multitask_learning_model_and_mentionguided_decoding,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.90,singh-etal-2023-entity,"Janvijay Singh, Fan Bai, and Zhen Wang. 2023. Entity Tracking via Effective Use of Multi-Task Learning Model and Mention-guided Decoding. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1255–1263, Dubrovnik, Croatia. Association for Computational Linguistics."
interpretable_and_lowresource_entity_matching_via_decoupling_feature_learning_from_decision_making,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
simplicity_level_estimate_sle_a_learned_referenceless_metric_for_sentence_simplification,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.739,cripwell-etal-2023-simplicity,"Liam Cripwell, Joël Legrand, and Claire Gardent. 2023. Simplicity Level Estimate (SLE): A Learned Reference-Less Metric for Sentence Simplification. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12053–12059, Singapore. Association for Computational Linguistics."
an_empirical_study_on_classbased_word_sense_disambiguation,March,2009.0,EACL,https://aclanthology.org/E09-1045,izquierdo-etal-2009-empirical,"Rubén Izquierdo, Armando Suárez, and German Rigau. 2009. An Empirical Study on Class-Based Word Sense Disambiguation. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 389–397, Athens, Greece. Association for Computational Linguistics."
predictive_chemistry_augmented_with_text_retrieval,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.784,qian-etal-2023-predictive,"Yujie Qian, Zhening Li, Zhengkai Tu, Connor Coley, and Regina Barzilay. 2023. Predictive Chemistry Augmented with Text Retrieval. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12731–12745, Singapore. Association for Computational Linguistics."
skill_induction_and_planning_with_latent_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
packed_levitated_marker_for_entity_and_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
understanding_gender_bias_in_knowledge_base_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_machine_reading_comprehension_with_contextualized_commonsense_knowledge,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
named_entity_recognition_with_partially_annotated_training_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_dynamic_programming_algorithm_for_spanbased_nested_namedentity_recognition_in_on2,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
instructed_language_models_with_retrievers_are_powerful_entity_linkers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_call_framework_for_automatic_language_exercise_generation_from_free_text,April,2017.0,EACL,https://aclanthology.org/E17-3013,perez-cuadros-2017-multilingual,"Naiara Perez and Montse Cuadros. 2017. Multilingual CALL Framework for Automatic Language Exercise Generation from Free Text. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 49–52, Valencia, Spain. Association for Computational Linguistics."
efficient_parsing_strategies_for_syntactic_analysis_of_closed_captions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
limsiconll17_ud_shared_task,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
discovering_implicit_knowledge_with_unary_relations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ukpsquare_v2_explainability_and_adversarial_attacks_for_trustworthy_qa,November,2022.0,,https://aclanthology.org/2022.aacl-demo.4,sachdeva-etal-2022-ukp,"Rachneet Sachdeva, Haritz Puerto, Tim Baumgärtner, Sewin Tariverdian, Hao Zhang, Kexin Wang, Hossain Shaikh Saadi, Leonardo F. R. Ribeiro, and Iryna Gurevych. 2022. UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QA. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: System Demonstrations, pages 28–38, Taipei, Taiwan. Association for Computational Linguistics."
unnatural_instructions_tuning_language_models_with_almost_no_human_labor,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
machine_translation_robustness_to_natural_asemantic_variation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
understanding_the_effects_of_noise_in_texttosql_an_examination_of_the_birdbench_benchmark,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
headqa_a_healthcare_dataset_for_complex_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lexical_semantic_relatedness_with_random_graph_walks,June,2007.0,,https://aclanthology.org/D07-1061,hughes-ramage-2007-lexical,"Thad Hughes and Daniel Ramage. 2007. Lexical Semantic Relatedness with Random Graph Walks. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 581–589, Prague, Czech Republic. Association for Computational Linguistics."
automated_factchecking_in_dialogue_are_specialized_models_needed,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.993,chamoun-etal-2023-automated,"Eric Chamoun, Marzieh Saeidi, and Andreas Vlachos. 2023. Automated Fact-Checking in Dialogue: Are Specialized Models Needed?. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16009–16020, Singapore. Association for Computational Linguistics."
what_does_a_text_classifier_learn_about_morality_an_explainable_method_for_crossdomain_comparison_of_moral_rhetoric,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
subwordlevel_word_vector_representations_for_korean,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
drs_at_mrp_2020_dressing_up_discourse_representation_structures_as_graphs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
to_pretrain_or_not_to_pretrain_examining_the_benefits_of_pretrainng_on_resource_rich_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
federated_metalearning_for_emotion_and_sentiment_aware_multimodal_complaint_identification,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.999,singh-etal-2023-federated,"Apoorva Singh, Siddarth Chandrasekar, Sriparna Saha, and Tanmay Sen. 2023. Federated Meta-Learning for Emotion and Sentiment Aware Multi-modal Complaint Identification. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16091–16103, Singapore. Association for Computational Linguistics."
tnt__a_statistical_partofspeech_tagger,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tasa_deceiving_question_answering_models_by_twin_answer_sentences_attack,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
demixing_sentiment_from_codemixed_text,July,2019.0,ACL,https://aclanthology.org/P19-2052,lal-etal-2019-de,"Yash Kumar Lal, Vaibhav Kumar, Mrinal Dhar, Manish Shrivastava, and Philipp Koehn. 2019. De-Mixing Sentiment from Code-Mixed Text. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 371–377, Florence, Italy. Association for Computational Linguistics."
interpreting_and_exploiting_functional_specialization_in_multihead_attention_under_multitask_learning,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.1026,li-etal-2023-interpreting,"Chong Li, Shaonan Wang, Yunhao Zhang, Jiajun Zhang, and Chengqing Zong. 2023. Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task Learning. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16460–16476, Singapore. Association for Computational Linguistics."
how_far_are_we_from_robust_long_abstractive_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reasoninglm_enabling_structural_subgraph_reasoning_in_pretrained_language_models_for_question_answering_over_knowledge_graph,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
labeled_pseudoprojective_dependency_parsing_with_support_vector_machines,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
setgner_general_named_entity_recognition_as_entity_set_generation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.200,he-tang-2022-setgner,"Yuxin He and Buzhou Tang. 2022. SetGNER: General Named Entity Recognition as Entity Set Generation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3074–3085, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
exploring_listwise_evidence_reasoning_with_t5_for_fact_verification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_describe_for_predicting_zeroshot_drugdrug_interactions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_generalization_in_semantic_parsing_by_increasing_natural_language_variation,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.71,saparina-lapata-2024-improving,"Irina Saparina and Mirella Lapata. 2024. Improving Generalization in Semantic Parsing by Increasing Natural Language Variation. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1178–1193, St. Julian’s, Malta. Association for Computational Linguistics."
a_strong_baseline_for_learning_crosslingual_word_embeddings_from_sentence_alignments,April,2017.0,EACL,https://aclanthology.org/E17-1072,levy-etal-2017-strong,"Omer Levy, Anders Søgaard, and Yoav Goldberg. 2017. A Strong Baseline for Learning Cross-Lingual Word Embeddings from Sentence Alignments. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 765–774, Valencia, Spain. Association for Computational Linguistics."
checkersgpt_learning_world_models_through_language_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
outlier_suppression_accurate_quantization_of_large_language_models_by_equivalent_and_effective_shifting_and_scaling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_exploratory_analysis_of_multilingual_wordlevel_quality_estimation_with_crosslingual_transformers,August,2021.0,,https://aclanthology.org/2021.acl-short.55,ranasinghe-etal-2021-exploratory,"Tharindu Ranasinghe, Constantin Orasan, and Ruslan Mitkov. 2021. An Exploratory Analysis of Multilingual Word-Level Quality Estimation with Cross-Lingual Transformers. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 434–440, Online. Association for Computational Linguistics."
infotabs_inference_on_tables_as_semistructured_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_empirical_revisiting_of_linguistic_knowledge_fusion_in_language_understanding_tasks,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.684,yu-etal-2022-empirical,"Changlong Yu, Tianyi Xiao, Lingpeng Kong, Yangqiu Song, and Wilfred Ng. 2022. An Empirical Revisiting of Linguistic Knowledge Fusion in Language Understanding Tasks. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10064–10070, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
semiautomatic_data_enhancement_for_documentlevel_relation_extraction_with_distant_supervision_from_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
arbert__marbert_deep_bidirectional_transformers_for_arabic,August,2021.0,,https://aclanthology.org/2021.acl-long.551,abdul-mageed-etal-2021-arbert,"Muhammad Abdul-Mageed, AbdelRahim Elmadany, and El Moatez Billah Nagoudi. 2021. ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 7088–7105, Online. Association for Computational Linguistics."
using_artificial_french_data_to_understand_the_emergence_of_gender_bias_in_transformer_language_models,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.641,conti-wisniewski-2023-using,"Lina Conti and Guillaume Wisniewski. 2023. Using Artificial French Data to Understand the Emergence of Gender Bias in Transformer Language Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 10362–10371, Singapore. Association for Computational Linguistics."
probabilistic_modeling_of_jointcontext_in_distributional_similarity,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_simple_yet_effective_joint_training_method_for_crosslingual_universal_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
constructing_multimodal_dialogue_dataset_by_replacing_text_with_semantically_relevant_images,August,2021.0,,https://aclanthology.org/2021.acl-short.113,lee-etal-2021-constructing,"Nyoungwoo Lee, Suwon Shin, Jaegul Choo, Ho-Jin Choi, and Sung-Hyon Myaeng. 2021. Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 897–906, Online. Association for Computational Linguistics."
legallens_leveraging_llms_for_legal_violation_identification_in_unstructured_text,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.130,bernsohn-etal-2024-legallens,"Dor Bernsohn, Gil Semo, Yaron Vazana, Gila Hayat, Ben Hagag, Joel Niklaus, Rohit Saha, and Kyryl Truskovskyi. 2024. LegalLens: Leveraging LLMs for Legal Violation Identification in Unstructured Text. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2129–2145, St. Julian’s, Malta. Association for Computational Linguistics."
detecting_spelling_variants_in_nonstandard_texts,April,2017.0,EACL,https://aclanthology.org/E17-4002,barteld-2017-detecting,"Fabian Barteld. 2017. Detecting spelling variants in non-standard texts. In Proceedings of the Student Research Workshop at the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 11–22, Valencia, Spain. Association for Computational Linguistics."
can_transformer_be_too_compositional_analysing_idiom_processing_in_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_joint_namedentity_recognizer_for_heterogeneous_tagsets_using_a_tag_hierarchy,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
surfacebased_retrieval_reduces_perplexity_of_retrievalaugmented_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploiting_language_model_prompts_using_similarity_measures_a_case_study_on_the_wordincontext_task,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.36,tabasi-etal-2022-exploiting,"Mohsen Tabasi, Kiamehr Rezaee, and Mohammad Taher Pilehvar. 2022. Exploiting Language Model Prompts Using Similarity Measures: A Case Study on the Word-in-Context Task. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 325–332, Dublin, Ireland. Association for Computational Linguistics."
modeling_conceptual_attribute_likeness_and_domain_inconsistency_for_metaphor_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multisource_meta_transfer_for_low_resource_multiplechoice_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
comprehensive_supersense_disambiguation_of_english_prepositions_and_possessives,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
datatotext_generation_with_entity_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
can_pretrained_language_models_interpret_similes_as_smart_as_human,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bytesized32_a_corpus_and_challenge_task_for_generating_taskspecific_world_models_expressed_as_text_games,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bert_is_to_nlp_what_alexnet_is_to_cv_can_pretrained_language_models_identify_analogies,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_humanmachine_collaborative_framework_for_evaluating_malevolence_in_dialogues,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
are_your_explanations_reliable_investigating_the_stability_of_lime_in_explaining_text_classifiers_by_marrying_xai_and_adversarial_attack,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.792,burger-etal-2023-explanations,"Christopher Burger, Lingwei Chen, and Thai Le. 2023. “Are Your Explanations Reliable?” Investigating the Stability of LIME in Explaining Text Classifiers by Marrying XAI and Adversarial Attack. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12831–12844, Singapore. Association for Computational Linguistics."
explanation_graph_generation_via_pretrained_language_models_an_empirical_study_with_contrastive_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
selfsupervised_dialogue_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crosslingual_fewshot_learning_on_unseen_languages,November,2022.0,,https://aclanthology.org/2022.aacl-main.59,winata-etal-2022-cross,"Genta Winata, Shijie Wu, Mayank Kulkarni, Thamar Solorio, and Daniel Preotiuc-Pietro. 2022. Cross-lingual Few-Shot Learning on Unseen Languages. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 777–791, Online only. Association for Computational Linguistics."
aida2_a_hybrid_approach_for_token_and_sentence_level_dialect_identification_in_arabic,July,2015.0,CoNLL,https://aclanthology.org/K15-1005,al-badrashiny-etal-2015-aida2,"Mohamed Al-Badrashiny, Heba Elfardy, and Mona Diab. 2015. AIDA2: A Hybrid Approach for Token and Sentence Level Dialect Identification in Arabic. In Proceedings of the Nineteenth Conference on Computational Natural Language Learning, pages 42–51, Beijing, China. Association for Computational Linguistics."
delphi_data_for_evaluating_llms_performance_in_handling_controversial_issues,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
attentionbased_conditioning_methods_for_external_knowledge_integration,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adocs_automatic_designer_of_conference_schedules,April,2017.0,EACL,https://aclanthology.org/E17-3011,vallejo-huanga-etal-2017-adocs,"Diego Fernando Vallejo Huanga, Paulina Adriana Morillo Alcívar, and Cèsar Ferri Ramírez. 2017. ADoCS: Automatic Designer of Conference Schedules. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 41–44, Valencia, Spain. Association for Computational Linguistics."
phylogenyinspired_adaptation_of_multilingual_models_to_new_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mustpsrl_multilingual_and_unified_syllabification_in_text_and_phonetic_domains_for_speech_representation_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_role_of_initiative_in_tutorial_dialogue,April,2003.0,EACL,https://aclanthology.org/E03-1072,core-etal-2003-role,"Mark G. Core, Johanna D. Moore, and Claus Zinn. 2003. The Role of Initiative in Tutorial Dialogue. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
parsing_mildly_nonprojective_dependency_structures,March,2009.0,EACL,https://aclanthology.org/E09-1034,gomez-rodriguez-etal-2009-parsing,"Carlos Gómez-Rodríguez, David Weir, and John Carroll. 2009. Parsing Mildly Non-Projective Dependency Structures. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 291–299, Athens, Greece. Association for Computational Linguistics."
rewarding_smatch_transitionbased_amr_parsing_with_reinforcement_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
importancebased_neuron_allocation_for_multilingual_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatic_annotation_of_direct_speech_in_written_french_narratives,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
syntactic_phrase_reordering_for_englishtoarabic_statistical_machine_translation,March,2009.0,EACL,https://aclanthology.org/E09-1011,badr-etal-2009-syntactic,"Ibrahim Badr, Rabih Zbib, and James Glass. 2009. Syntactic Phrase Reordering for English-to-Arabic Statistical Machine Translation. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 86–93, Athens, Greece. Association for Computational Linguistics."
automatic_acronym_recognition,,2006.0,EACL,https://aclanthology.org/E06-2021,dannells-2006-automatic,"Dana Dannélls. 2006. Automatic Acronym Recognition. In Demonstrations, pages 167–170."
exploring_linguistic_probes_for_morphological_generalization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
homophone_disambiguation_reveals_patterns_of_context_mixing_in_speech_transformers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
every_document_owns_its_structure_inductive_text_classification_via_graph_neural_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crosslingual_consistency_of_factual_knowledge_in_multilingual_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
shape_of_synth_to_come_why_we_should_use_synthetic_data_for_english_surface_realization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_speech_to_speech_machine_translation_focusing_on_indian_languages,May,2023.0,EACL,https://aclanthology.org/2023.eacl-demo.19,mujadia-sharma-2023-towards,"Vandan Mujadia and Dipti Sharma. 2023. Towards Speech to Speech Machine Translation focusing on Indian Languages. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 161–168, Dubrovnik, Croatia. Association for Computational Linguistics."
naist_at_2013_conll_grammatical_error_correction_shared_task,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_entity_and_relation_extraction_dataset_and_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
incorporating_linguistic_constraints_into_keyphrase_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
zeroshot_and_fewshot_stance_detection_on_varied_topics_via_conditional_generation,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.127,wen-hauptmann-2023-zero,"Haoyang Wen and Alexander Hauptmann. 2023. Zero-Shot and Few-Shot Stance Detection on Varied Topics via Conditional Generation. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1491–1499, Toronto, Canada. Association for Computational Linguistics."
heuristic_authorship_obfuscation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hotflip_whitebox_adversarial_examples_for_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
understanding_location_descriptions_in_the_lei_system,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
structural_ambiguity_and_its_disambiguation_in_language_model_based_parsers_the_case_of_dutch_clause_relativization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
revisiting_docred__addressing_the_false_negative_problem_in_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adversarial_oversensitivity_and_overstability_strategies_for_dialogue_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
longform_simultaneous_speech_translation_thesis_proposal,November,2023.0,,https://aclanthology.org/2023.ijcnlp-srw.9,polak-2023-long,"Peter Polák. 2023. Long-form Simultaneous Speech Translation: Thesis Proposal. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 64–74, Nusa Dua, Bali. Association for Computational Linguistics."
targetguided_opendomain_conversation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_compositional_generalization_of_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
divide_and_rule_effective_pretraining_for_contextaware_multiencoder_translation_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semantic_role_chunking_combining_complementary_syntactic_views,June,2005.0,CoNLL,https://aclanthology.org/W05-0634,pradhan-etal-2005-semantic,"Sameer Pradhan, Kadri Hacioglu, Wayne Ward, James H. Martin, and Daniel Jurafsky. 2005. Semantic Role Chunking Combining Complementary Syntactic Views. In Proceedings of the Ninth Conference on Computational Natural Language Learning (CoNLL-2005), pages 217–220, Ann Arbor, Michigan. Association for Computational Linguistics."
a_computational_analysis_and_exploration_of_linguistic_borrowings_in_french_rap_lyrics,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
waco_wordaligned_contrastive_learning_for_speech_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_neural_fewshot_text_classification_reality_check,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.79,dopierre-etal-2021-neural,"Thomas Dopierre, Christophe Gravier, and Wilfried Logerais. 2021. A Neural Few-Shot Text Classification Reality Check. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 935–943, Online. Association for Computational Linguistics."
the_nlp_task_effectiveness_of_longrange_transformers,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.273,qin-etal-2023-nlp,"Guanghui Qin, Yukun Feng, and Benjamin Van Durme. 2023. The NLP Task Effectiveness of Long-Range Transformers. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3774–3790, Dubrovnik, Croatia. Association for Computational Linguistics."
bayesian_document_generative_model_with_explicit_multiple_topics,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_neural_model_for_joint_document_and_snippet_ranking_in_question_answering_for_large_document_collections,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
repocoder_repositorylevel_code_completion_through_iterative_retrieval_and_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
universal_language_model_finetuning_for_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
stt4sg350_a_speech_corpus_for_all_swiss_german_dialect_regions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rethinking_and_improving_multitask_learning_for_endtoend_speech_translation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.663,zhang-etal-2023-rethinking,"Yuhao Zhang, Chen Xu, Bei Li, Hao Chen, Tong Xiao, Chunliang Zhang, and Jingbo Zhu. 2023. Rethinking and Improving Multi-task Learning for End-to-end Speech Translation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 10753–10765, Singapore. Association for Computational Linguistics."
towards_abstractive_grounded_summarization_of_podcast_transcripts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
does_the_structure_of_textual_content_have_an_impact_on_language_models_for_automatic_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fsuie_a_novel_fuzzy_span_mechanism_for_universal_information_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
can_we_obtain_significant_success_in_rst_discourse_parsing_by_using_large_language_models,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.171,maekawa-etal-2024-obtain,"Aru Maekawa, Tsutomu Hirao, Hidetaka Kamigaito, and Manabu Okumura. 2024. Can we obtain significant success in RST discourse parsing by using Large Language Models?. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2803–2815, St. Julian’s, Malta. Association for Computational Linguistics."
an_empirical_analysis_of_diversity_in_argument_summarization,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.123,van-der-meer-etal-2024-empirical,"Michiel Van Der Meer, Piek Vossen, Catholijn Jonker, and Pradeep Murukannaiah. 2024. An Empirical Analysis of Diversity in Argument Summarization. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2028–2045, St. Julian’s, Malta. Association for Computational Linguistics."
promptrank_unsupervised_keyphrase_extraction_using_prompt,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nat_noiseaware_training_for_robust_neural_sequence_labeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
continual_learning_for_taskoriented_dialogue_system_with_iterative_network_pruning_expanding_and_masking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_syntactic_preordering_for_controlled_paraphrase_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
removing_left_recursion_from_contextfree_grammars,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
specializing_multidomain_nmt_via_penalizing_low_mutual_information,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.680,lee-etal-2022-specializing,"Jiyoung Lee, Hantae Kim, Hyunchang Cho, Edward Choi, and Cheonbok Park. 2022. Specializing Multi-domain NMT via Penalizing Low Mutual Information. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10015–10026, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
contrastive_bootstrapping_for_label_refinement,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
retracted_a_contextual_hierarchical_attention_network_with_adaptive_objective_for_dialogue_state_tracking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
antecedent_selection_techniques_for_highrecall_coreference_resolution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ctgat_crosstask_generative_adversarial_attack_based_on_transferability,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
debiasing_distantly_supervised_named_entity_recognition_via_causal_intervention,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
leveraging_wikipedia_article_evolution_for_promotional_tone_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
plan_summarizing_using_a_content_plan_as_crosslingual_bridge,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.131,huot-etal-2024-mplan,"Fantine Huot, Joshua Maynez, Chris Alberti, Reinald Kim Amplayo, Priyanka Agrawal, Constanza Fierro, Shashi Narayan, and Mirella Lapata. 2024. 𝜇PLAN: Summarizing using a Content Plan as Cross-Lingual Bridge. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2146–2163, St. Julian’s, Malta. Association for Computational Linguistics."
the_sonlpdp_system_in_the_conll2015_shared_task,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multiword_tokenization_for_sequence_compression,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.58,gee-etal-2023-multi,"Leonidas Gee, Leonardo Rigutini, Marco Ernandes, and Andrea Zugarini. 2023. Multi-word Tokenization for Sequence Compression. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 612–621, Singapore. Association for Computational Linguistics."
are_pretrained_language_models_useful_for_model_ensemble_in_chinese_grammatical_error_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reranking_for_neural_semantic_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multiple_alignment_of_citation_sentences_with_conditional_random_fields_and_posterior_decoding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crosslingual_genre_classification,April,2012.0,EACL,https://aclanthology.org/E12-3002,petrenz-2012-cross,"Philipp Petrenz. 2012. Cross-Lingual Genre Classification. In Proceedings of the Student Research Workshop at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 11–21, Avignon, France. Association for Computational Linguistics."
fullysemantic_parsing_and_generation_the_babelnet_meaning_representation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_amrdependency_parse_alignment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mie_a_medical_information_extractor_towards_medical_dialogues,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_zipfian_challenge_learning_the_statistical_fingerprint_of_natural_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multimodal_sarcasm_detection_via_crossmodal_graph_convolutional_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
amr_parsing_with_causal_hierarchical_attention_and_pointers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
im2_an_interpretable_and_multicategory_integrated_metric_framework_for_automatic_dialogue_evaluation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.762,jiang-etal-2022-im2,"Zhihua Jiang, Guanghui Ye, Dongning Rao, Di Wang, and Xin Miao. 2022. IM2: an Interpretable and Multi-category Integrated Metric Framework for Automatic Dialogue Evaluation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11091–11103, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
polarized_opinion_detection_improves_the_detection_of_toxic_language,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.117,pavlopoulos-likas-2024-polarized,"John Pavlopoulos and Aristidis Likas. 2024. Polarized Opinion Detection Improves the Detection of Toxic Language. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1946–1958, St. Julian’s, Malta. Association for Computational Linguistics."
skdner_continual_named_entity_recognition_via_spanbased_knowledge_distillation_with_reinforcement_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilevel_distillation_of_semantic_knowledge_for_pretraining_multilingual_language_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
doqa__accessing_domainspecific_faqs_via_conversational_qa,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
assessing_benefit_from_feature_feedback_in_active_learning_for_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modeling_coreference_relations_in_visual_dialog,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.290,li-moens-2021-modeling,"Mingxiao Li and Marie-Francine Moens. 2021. Modeling Coreference Relations in Visual Dialog. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3306–3318, Online. Association for Computational Linguistics."
realtime_keyword_extraction_from_conversations,April,2017.0,EACL,https://aclanthology.org/E17-2074,meladianos-etal-2017-real,"Polykarpos Meladianos, Antoine Tixier, Ioannis Nikolentzos, and Michalis Vazirgiannis. 2017. Real-Time Keyword Extraction from Conversations. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 462–467, Valencia, Spain. Association for Computational Linguistics."
finetuned_llms_know_more_hallucinate_less_with_fewshot_sequencetosequence_semantic_parsing_over_wikidata,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
parameterefficient_tuning_makes_a_good_classification_head,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
emerging_crosslingual_structure_in_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
from_bilingual_to_multilingual_neural_machine_translation_by_incremental_training,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_semantic_encoders,July,2018.0,ACL,https://aclanthology.org/P18-5006,gardner-etal-2018-neural,"Matt Gardner, Pradeep Dasigi, Srinivasan Iyer, Alane Suhr, and Luke Zettlemoyer. 2018. Neural Semantic Parsing. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, pages 17–18, Melbourne, Australia. Association for Computational Linguistics."
an_indepth_study_on_internal_structure_of_chinese_words,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
repsum_unsupervised_dialogue_summarization_based_on_replacement_strategy,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
vilmedic_a_framework_for_research_at_the_intersection_of_vision_and_language_in_medical_ai,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ectsum_a_new_benchmark_dataset_for_bullet_point_summarization_of_long_earnings_call_transcripts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
efficient_correct_unsupervised_learning_for_contextsensitive_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_arabic_diacritization_with_regularized_decoding_and_adversarial_training,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
redefining_partofspeech_classes_with_distributional_semantic_models,August,2016.0,CoNLL,https://aclanthology.org/K16-1012,kutuzov-etal-2016-redefining,"Andrey Kutuzov, Erik Velldal, and Lilja Øvrelid. 2016. Redefining part-of-speech classes with distributional semantic models. In Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, pages 115–125, Berlin, Germany. Association for Computational Linguistics."
semantic_similarity_models_for_depression_severity_estimation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.1000,perez-etal-2023-semantic,"Anxo Pérez, Neha Warikoo, Kexin Wang, Javier Parapar, and Iryna Gurevych. 2023. Semantic Similarity Models for Depression Severity Estimation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16104–16118, Singapore. Association for Computational Linguistics."
large_language_models_can_selfimprove,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
theoretical_conditions_and_empirical_failure_of_bracket_counting_on_long_sequences_with_linear_recurrent_networks,May,2023.0,EACL,https://aclanthology.org/2023.eacl-srw.15,el-naggar-etal-2023-theoretical,"Nadine El-Naggar, Pranava Madhyastha, and Tillman Weyde. 2023. Theoretical Conditions and Empirical Failure of Bracket Counting on Long Sequences with Linear Recurrent Networks. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 143–148, Dubrovnik, Croatia. Association for Computational Linguistics."
bilingual_dictionary_based_neural_machine_translation_without_using_parallel_sentences,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_zeroshot_multifaceted_visually_grounded_word_embeddings_via_multitask_training,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
visual_story_postediting,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
from_characters_to_words_hierarchical_pretrained_language_model_for_openvocabulary_language_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
active_learning_for_word_sense_disambiguation_with_methods_for_addressing_the_class_imbalance_problem,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
advancing_precise_outlineconditioned_text_generation_with_task_duality_and_explicit_outline_control,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.145,li-etal-2024-advancing,"Yunzhe Li, Qian Chen, Weixiang Yan, Wen Wang, Qinglin Zhang, and Hari Sundaram. 2024. Advancing Precise Outline-Conditioned Text Generation with Task Duality and Explicit Outline Control. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2362–2377, St. Julian’s, Malta. Association for Computational Linguistics."
experiments_on_the_choice_of_features_for_learning_verb_classes,April,2003.0,EACL,https://aclanthology.org/E03-1037,schulte-im-walde-2003-experiments,"Sabine Schulte im Walde. 2003. Experiments on the Choice of Features for Learning Verb Classes. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
cnns_found_to_jump_around_more_skillfully_than_rnns_compositional_generalization_in_seq2seq_convolutional_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_case_study_on_combining_asr_and_visual_features_for_generating_instructional_video_captions,November,2019.0,CoNLL,https://aclanthology.org/K19-1039,hessel-etal-2019-case,"Jack Hessel, Bo Pang, Zhenhai Zhu, and Radu Soricut. 2019. A Case Study on Combining ASR and Visual Features for Generating Instructional Video Captions. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 419–429, Hong Kong, China. Association for Computational Linguistics."
contextual_neural_machine_translation_improves_translation_of_cataphoric_pronouns,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
4_and_7bit_labeling_for_projective_and_nonprojective_dependency_trees,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
better_simultaneous_translation_with_monotonic_knowledge_distillation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mathprompter_mathematical_reasoning_using_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hierarchyaware_global_model_for_hierarchical_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bertbased_neural_collaborative_filtering_and_fixedlength_contiguous_tokens_explanation,December,2020.0,AACL,https://aclanthology.org/2020.aacl-main.18,pugoy-kao-2020-bert,"Reinald Adrian Pugoy and Hung-Yu Kao. 2020. BERT-Based Neural Collaborative Filtering and Fixed-Length Contiguous Tokens Explanation. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, pages 143–153, Suzhou, China. Association for Computational Linguistics."
crosslinguistic_syntactic_evaluation_of_word_prediction_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
structured_and_unstructured_cache_models_for_smt_domain_adaptation,April,2014.0,EACL,https://aclanthology.org/E14-1017,louis-webber-2014-structured,"Annie Louis and Bonnie Webber. 2014. Structured and Unstructured Cache Models for SMT Domain Adaptation. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 155–163, Gothenburg, Sweden. Association for Computational Linguistics."
bootstrapping_small__high_performance_language_models_with_unmaskingremoval_training_policy,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
predicting_emotional_word_ratings_using_distributional_representations_and_signed_clustering,April,2017.0,EACL,https://aclanthology.org/E17-2090,sedoc-etal-2017-predicting,"João Sedoc, Daniel Preoţiuc-Pietro, and Lyle Ungar. 2017. Predicting Emotional Word Ratings using Distributional Representations and Signed Clustering. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 564–571, Valencia, Spain. Association for Computational Linguistics."
does_it_make_sense_and_why_a_pilot_study_for_sense_making_and_explanation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
will_it_blend_blending_weak_and_strong_labeled_data_in_a_neural_network_for_argumentation_mining,July,2018.0,ACL,https://aclanthology.org/P18-2095,shnarch-etal-2018-will,"Eyal Shnarch, Carlos Alzate, Lena Dankin, Martin Gleize, Yufang Hou, Leshem Choshen, Ranit Aharonov, and Noam Slonim. 2018. Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 599–605, Melbourne, Australia. Association for Computational Linguistics."
using_images_to_improve_machinetranslating_ecommerce_product_listings,September,2015.0,NLP4TM,https://aclanthology.org/W15-52,UNKNOWN_BIBKEY,N/A
crosstask_generalization_via_natural_language_crowdsourcing_instructions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semisupervised_convolutional_networks_for_translation_adaptation_with_tiny_amount_of_indomain_data,August,2016.0,CoNLL,https://aclanthology.org/K16-1031,chen-huang-2016-semi,"Boxing Chen and Fei Huang. 2016. Semi-supervised Convolutional Networks for Translation Adaptation with Tiny Amount of In-domain Data. In Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, pages 314–323, Berlin, Germany. Association for Computational Linguistics."
a_truly_joint_neural_architecture_for_segmentation_and_parsing,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.84,yshaayahu-levi-tsarfaty-2024-truly,"Danit Yshaayahu Levi and Reut Tsarfaty. 2024. A Truly Joint Neural Architecture for Segmentation and Parsing. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1408–1420, St. Julian’s, Malta. Association for Computational Linguistics."
towards_unsupervised_language_understanding_and_generation_by_joint_dual_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatic_estimation_of_simultaneous_interpreter_performance,July,2018.0,ACL,https://aclanthology.org/P18-2105,stewart-etal-2018-automatic,"Craig Stewart, Nikolai Vogler, Junjie Hu, Jordan Boyd-Graber, and Graham Neubig. 2018. Automatic Estimation of Simultaneous Interpreter Performance. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 662–666, Melbourne, Australia. Association for Computational Linguistics."
iag_inductionaugmented_generation_framework_for_answering_reasoning_questions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_multimodal_named_entity_recognition_via_entity_span_detection_with_unified_multimodal_transformer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
error_analysis_and_the_role_of_morphology,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.162,bollmann-sogaard-2021-error,"Marcel Bollmann and Anders Søgaard. 2021. Error Analysis and the Role of Morphology. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1887–1900, Online. Association for Computational Linguistics."
improving_grammaticality_in_statistical_sentence_generation_introducing_a_dependency_spanning_tree_algorithm_with_an_argument_satisfaction_model,March,2009.0,EACL,https://aclanthology.org/E09-1097,wan-etal-2009-improving,"Stephen Wan, Mark Dras, Robert Dale, and Cécile Paris. 2009. Improving Grammaticality in Statistical Sentence Generation: Introducing a Dependency Spanning Tree Algorithm with an Argument Satisfaction Model. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 852–860, Athens, Greece. Association for Computational Linguistics."
discovering_dialog_structure_graph_for_coherent_dialog_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
named_entity_learning_and_verification_expectation_maximization_in_large_corpora,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
progressively_pretrained_dense_corpus_index_for_opendomain_question_answering,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.244,xiong-etal-2021-progressively,"Wenhan Xiong, Hong Wang, and William Yang Wang. 2021. Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2803–2815, Online. Association for Computational Linguistics."
unsupervised_learning_of_stylesensitive_word_vectors,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
biphone_modeling_inter_language_phonetic_influences_in_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatic_marketing_theme_and_commodity_construction_system_for_ecommerce,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
interpreting_character_embeddings_with_perceptual_representations_the_case_of_shape_sound_and_color,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
revisiting_grammatical_error_correction_evaluation_and_beyond,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.463,gong-etal-2022-revisiting,"Peiyuan Gong, Xuebo Liu, Heyan Huang, and Min Zhang. 2022. Revisiting Grammatical Error Correction Evaluation and Beyond. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6891–6902, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
addressing_posterior_collapse_with_mutual_information_for_improved_variational_neural_machine_translation,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.753,mccarthy-etal-2020-addressing,"Arya D. McCarthy, Xian Li, Jiatao Gu, and Ning Dong. 2020. Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8512–8525, Online. Association for Computational Linguistics."
deep_inductive_logic_reasoning_for_multihop_reading_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
memory_graph_networks_for_explainable_memorygrounded_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_locality_of_attention_in_direct_speech_translation,May,2022.0,ACL,https://aclanthology.org/2022.acl-srw.32,alastruey-etal-2022-locality,"Belen Alastruey, Javier Ferrando, Gerard I. Gállego, and Marta R. Costa-jussà. 2022. On the Locality of Attention in Direct Speech Translation. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 402–412, Dublin, Ireland. Association for Computational Linguistics."
lexicon_acquisition_with_a_largecoverage_unificationbased_grammar,April,2003.0,EACL,https://aclanthology.org/E03-1041,fouvry-2003-lexicon,"Frederik Fouvry. 2003. Lexicon Acquisition with a large-coverage unification-based grammar. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
a_multisentimentresource_enhanced_attention_network_for_sentiment_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
advancing_multicriteria_chinese_word_segmentation_through_criterion_classification_and_denoising,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_how_to_actively_learn_a_deep_imitation_learning_approach,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
clever_hans_or_neural_theory_of_mind_stress_testing_social_reasoning_in_large_language_models,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.138,shapira-etal-2024-clever,"Natalie Shapira, Mosh Levy, Seyed Hossein Alavi, Xuhui Zhou, Yejin Choi, Yoav Goldberg, Maarten Sap, and Vered Shwartz. 2024. Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2257–2273, St. Julian’s, Malta. Association for Computational Linguistics."
umrspell_unifying_the_detection_and_correction_parts_of_pretrained_models_towards_chinese_missing_redundant_and_spelling_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unitrec_a_unified_texttotext_transformer_and_joint_contrastive_learning_framework_for_textbased_recommendation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
simulspeech_endtoend_simultaneous_speech_to_text_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_empirical_assessment_of_semantic_interpretation,,2000.0,ANLP,https://aclanthology.org/A00-2043,romacker-hahn-2000-empirical,Martin Romacker and Udo Hahn. 2000. An Empirical Assessment of Semantic Interpretation. In 1st Meeting of the North American Chapter of the Association for Computational Linguistics.
poe_process_of_elimination_for_multiple_choice_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
weakly_supervised_semantic_parsing_with_executionbased_spurious_program_filtering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_crossmodality_context_fusion_and_semantic_refinement_network_for_emotion_recognition_in_conversation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
documents_and_dependencies_an_exploration_of_vector_space_models_for_semantic_composition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
why_llms_hallucinate_and_how_to_get_evidential_closure_perceptual_intensional_and_extensional_learning_for_faithful_natural_language_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
glancing_transformer_for_nonautoregressive_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mgdoc_pretraining_with_multigranular_hierarchy_for_document_image_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
understanding_the_innerworkings_of_language_models_through_representation_dissimilarity,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
discriminative_training_of_clustering_functions_theory_and_experiments_with_entity_identification,June,2005.0,CoNLL,https://aclanthology.org/W05-0609,li-roth-2005-discriminative,"Xin Li and Dan Roth. 2005. Discriminative Training of Clustering Functions: Theory and Experiments with Entity Identification. In Proceedings of the Ninth Conference on Computational Natural Language Learning (CoNLL-2005), pages 64–71, Ann Arbor, Michigan. Association for Computational Linguistics."
pass_perturbandselect_summarizer_for_product_reviews,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rnsum_a_largescale_dataset_for_automatic_release_note_generation_via_commit_logs_summarization,May,2022.0,ACL,https://aclanthology.org/2022.acl-long.597,kamezawa-etal-2022-rnsum,"Hisashi Kamezawa, Noriki Nishida, Nobuyuki Shimizu, Takashi Miyazaki, and Hideki Nakayama. 2022. RNSum: A Large-Scale Dataset for Automatic Release Note Generation via Commit Logs Summarization. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 8718–8735, Dublin, Ireland. Association for Computational Linguistics."
the_elephant_in_the_room_analyzing_the_presence_of_big_tech_in_natural_language_processing_research,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
promptner_prompt_locating_and_typing_for_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rapid_diffusion_building_domainspecific_texttoimage_synthesizers_with_fast_inference_speed,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
starc_structured_annotations_for_reading_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_endtoend_approach_for_handling_unknown_slot_values_in_dialogue_state_tracking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
can_we_edit_factual_knowledge_by_incontext_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hierarchical_multilabel_classification_of_text_with_capsule_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cuebot_a_conversational_agent_for_assistive_technology,May,2022.0,ACL,https://aclanthology.org/2022.acl-demo.19,h-kumar-etal-2022-cue,"Shachi H Kumar, Hsuan Su, Ramesh Manuvinakurike, Maximilian C. Pinaroc, Sai Prasad, Saurav Sahay, and Lama Nachman. 2022. Cue-bot: A Conversational Agent for Assistive Technology. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 196–203, Dublin, Ireland. Association for Computational Linguistics."
simple_temporal_adaptation_to_changing_label_sets_hashtag_prediction_via_dense_knn,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automated_crosslanguage_intelligibility_analysis_of_parkinsons_disease_patients_using_speech_recognition_technologies,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
selfevolution_learning_for_mixup_enhance_data_augmentation_on_fewshot_text_classification_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
videoguided_machine_translation_with_spatial_hierarchical_attention_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_prototypical_functions_for_physical_artifacts,August,2021.0,,https://aclanthology.org/2021.acl-long.540,jiang-riloff-2021-learning,"Tianyu Jiang and Ellen Riloff. 2021. Learning Prototypical Functions for Physical Artifacts. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 6941–6951, Online. Association for Computational Linguistics."
nonlocal_modeling_with_a_mixture_of_pcfgs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
efficient_grammatical_error_correction_via_multitask_training_and_optimized_training_schedule,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bringing_structure_into_summaries_a_faceted_summarization_dataset_for_long_scientific_documents,August,2021.0,,https://aclanthology.org/2021.acl-short.137,meng-etal-2021-bringing,"Rui Meng, Khushboo Thaker, Lei Zhang, Yue Dong, Xingdi Yuan, Tong Wang, and Daqing He. 2021. Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 1080–1089, Online. Association for Computational Linguistics."
damstf_domain_adversarial_learning_enhanced_meta_selftraining_for_domain_adaptation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mavenere_a_unified_largescale_dataset_for_event_coreference_temporal_causal_and_subevent_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
spanlevel_aspectbased_sentiment_analysis_via_table_filling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_contextually_aggregate_multisource_supervision_for_sequence_labeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
metalearning_with_variational_semantic_memory_for_word_sense_disambiguation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
syntaxinfused_variational_autoencoder_for_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
linguistic_analysis_improves_neural_metaphor_detection,November,2019.0,CoNLL,https://aclanthology.org/K19-1034,stowe-etal-2019-linguistic,"Kevin Stowe, Sarah Moeller, Laura Michaelis, and Martha Palmer. 2019. Linguistic Analysis Improves Neural Metaphor Detection. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 362–371, Hong Kong, China. Association for Computational Linguistics."
cuni_xling_parsing_underresourced_languages_in_conll_2018_ud_shared_task,October,2018.0,CoNLL,https://aclanthology.org/K18-2019,rosa-marecek-2018-cuni,"Rudolf Rosa and David Mareček. 2018. CUNI x-ling: Parsing Under-Resourced Languages in CoNLL 2018 UD Shared Task. In Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 187–196, Brussels, Belgium. Association for Computational Linguistics."
exploring_semantic_properties_of_sentence_embeddings,July,2018.0,ACL,https://aclanthology.org/P18-2100,zhu-etal-2018-exploring,"Xunjie Zhu, Tingfeng Li, and Gerard de Melo. 2018. Exploring Semantic Properties of Sentence Embeddings. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 632–637, Melbourne, Australia. Association for Computational Linguistics."
killing_me_is_not_a_spoiler_spoiler_detection_model_using_graph_neural_networks_with_dependency_relationaware_attention_mechanism,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.315,chang-etal-2021-killing,"Buru Chang, Inggeol Lee, Hyunjae Kim, and Jaewoo Kang. 2021. “Killing Me” Is Not a Spoiler: Spoiler Detection Model using Graph Neural Networks with Dependency Relation-Aware Attention Mechanism. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3613–3617, Online. Association for Computational Linguistics."
automatic_generation_of_distractors_for_fillintheblank_exercises_with_roundtrip_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
syntaxaugmented_multilingual_bert_for_crosslingual_transfer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
using_automatically_extracted_minimum_spans_to_disentangle_coreference_evaluation_from_boundary_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
annotating_research_infrastructure_in_scientific_papers_an_nlpdriven_approach,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.44,tabatabaei-etal-2023-annotating,"Seyed Amin Tabatabaei, Georgios Cheirmpos, Marius Doornenbal, Alberto Zigoni, Veronique Moore, and Georgios Tsatsaronis. 2023. Annotating Research Infrastructure in Scientific Papers: An NLP-driven Approach. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 457–463, Toronto, Canada. Association for Computational Linguistics."
frequency_matters_pitch_accents_and_information_status,March,2009.0,EACL,https://aclanthology.org/E09-1083,schweitzer-etal-2009-frequency,"Katrin Schweitzer, Michael Walsh, Bernd Möbius, Arndt Riester, Antje Schweitzer, and Hinrich Schütze. 2009. Frequency Matters: Pitch Accents and Information Status. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 728–736, Athens, Greece. Association for Computational Linguistics."
neural_multisource_morphological_reinflection,November,2019.0,,https://aclanthology.org/D19-1091,anastasopoulos-neubig-2019-pushing,"Antonios Anastasopoulos and Graham Neubig. 2019. Pushing the Limits of Low-Resource Morphological Inflection. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pages 984–996, Hong Kong, China. Association for Computational Linguistics."
active_learning_for_interactive_neural_machine_translation_of_data_streams,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dialogpost_multilevel_selfsupervised_objectives_and_hierarchical_model_for_dialogue_posttraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_jiujitsu_argumentation_for_writing_peer_review_rebuttals,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.894,purkayastha-etal-2023-exploring,"Sukannya Purkayastha, Anne Lauscher, and Iryna Gurevych. 2023. Exploring Jiu-Jitsu Argumentation for Writing Peer Review Rebuttals. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 14479–14495, Singapore. Association for Computational Linguistics."
flexible_answer_typing_with_discriminative_preference_ranking,March,2009.0,EACL,https://aclanthology.org/E09-1076,pinchak-etal-2009-flexible,"Christopher Pinchak, Dekang Lin, and Davood Rafiei. 2009. Flexible Answer Typing with Discriminative Preference Ranking. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 666–674, Athens, Greece. Association for Computational Linguistics."
borderless_azerbaijani_processing_linguistic_resources_and_a_transformerbased_approach_for_azerbaijani_transliteration,November,2023.0,,https://aclanthology.org/2023.ijcnlp-short.20,zohrabi-etal-2023-borderless,"Reihaneh Zohrabi, Mostafa Masumi, Omid Ghahroodi, Parham AbedAzad, Hamid Beigy, Mohammad Hossein Rohban, and Ehsaneddin Asgari. 2023. Borderless Azerbaijani Processing: Linguistic Resources and a Transformer-based Approach for Azerbaijani Transliteration. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 175–183, Nusa Dua, Bali. Association for Computational Linguistics."
openstance_realworld_zeroshot_stance_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rapid_customization_for_event_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dune_dataset_for_unified_editing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rationally_reappraising_atisbased_dialogue_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
infosurgeon_crossmedia_finegrained_information_consistency_checking_for_fake_news_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cogkge_a_knowledge_graph_embedding_toolkit_and_benchmark_for_representing_multisource_and_heterogeneous_knowledge,May,2022.0,ACL,https://aclanthology.org/2022.acl-demo.16,jin-etal-2022-cogkge,"Zhuoran Jin, Tianyi Men, Hongbang Yuan, Zhitao He, Dianbo Sui, Chenhao Wang, Zhipeng Xue, Yubo Chen, and Jun Zhao. 2022. CogKGE: A Knowledge Graph Embedding Toolkit and Benchmark for Representing Multi-source and Heterogeneous Knowledge. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 166–173, Dublin, Ireland. Association for Computational Linguistics."
three_bionlp_tools_powered_by_a_biological_lexicon,April,2009.0,EACL,https://aclanthology.org/E09-2016,sasaki-etal-2009-three,"Yutaka Sasaki, Paul Thompson, John McNaught, and Sophia Ananiadou. 2009. Three BioNLP Tools Powered by a Biological Lexicon. In Proceedings of the Demonstrations Session at EACL 2009, pages 61–64, Athens, Greece. Association for Computational Linguistics."
a_dataset_for_identifying_actionable_feedback_in_collaborative_software_development,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_inclusive_notion_of_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
how_relevant_is_selective_memory_population_in_lifelong_language_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
disentangled_phonetic_representation_for_chinese_spelling_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
data_manipulation_towards_effective_instance_learning_for_neural_dialogue_generation_via_learning_to_augment_and_reweight,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
overview_of_the_fourth_social_media_mining_for_health_smm4h_shared_tasks_at_acl_2019,August,2019.0,ACL,https://aclanthology.org/W19-3203,weissenbacher-etal-2019-overview,"Davy Weissenbacher, Abeed Sarker, Arjun Magge, Ashlynn Daughton, Karen O’Connor, Michael J. Paul, and Graciela Gonzalez-Hernandez. 2019. Overview of the Fourth Social Media Mining for Health (SMM4H) Shared Tasks at ACL 2019. In Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task, pages 21–30, Florence, Italy. Association for Computational Linguistics."
phrasenet_towards_context_sensitive_lexical_semantics,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
predicting_the_fluency_of_text_with_shallow_structural_features_case_studies_of_machine_translation_and_humanwritten_text,March,2009.0,EACL,https://aclanthology.org/E09-1017,chae-nenkova-2009-predicting,"Jieun Chae and Ani Nenkova. 2009. Predicting the Fluency of Text with Shallow Structural Features: Case Studies of Machine Translation and Human-Written Text. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 139–147, Athens, Greece. Association for Computational Linguistics."
learning_to_retrieve_incontext_examples_for_large_language_models,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.105,wang-etal-2024-learning,"Liang Wang, Nan Yang, and Furu Wei. 2024. Learning to Retrieve In-Context Examples for Large Language Models. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1752–1767, St. Julian’s, Malta. Association for Computational Linguistics."
how_good_really_are_grammatical_error_correction_systems,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.231,rozovskaya-roth-2021-good,"Alla Rozovskaya and Dan Roth. 2021. How Good (really) are Grammatical Error Correction Systems?. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2686–2698, Online. Association for Computational Linguistics."
how_do_different_tokenizers_perform_on_downstream_tasks_in_scriptio_continua_languages_a_case_study_in_japanese,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
groovist_a_metric_for_grounding_objects_in_visual_storytelling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cotever_chain_of_thought_prompting_annotation_toolkit_for_explanation_verification,May,2023.0,EACL,https://aclanthology.org/2023.eacl-demo.23,kim-etal-2023-cotever,"Seungone Kim, Se June Joo, Yul Jang, Hyungjoo Chae, and Jinyoung Yeo. 2023. CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation Verification. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 195–208, Dubrovnik, Croatia. Association for Computational Linguistics."
multilingual_universal_sentence_encoder_for_semantic_retrieval,July,2020.0,ACL,https://aclanthology.org/2020.acl-demos.12,yang-etal-2020-multilingual,"Yinfei Yang, Daniel Cer, Amin Ahmad, Mandy Guo, Jax Law, Noah Constant, Gustavo Hernandez Abrego, Steve Yuan, Chris Tar, Yun-hsuan Sung, Brian Strope, and Ray Kurzweil. 2020. Multilingual Universal Sentence Encoder for Semantic Retrieval. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 87–94, Online. Association for Computational Linguistics."
entity_disambiguation_with_entity_definitions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modeling_appropriate_language_in_argumentation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
building_multidomain_dialog_state_trackers_from_singledomain_dialogs,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.946,zhu-etal-2023-building,"Qi Zhu, Zheng Zhang, Xiaoyan Zhu, and Minlie Huang. 2023. Building Multi-domain Dialog State Trackers from Single-domain Dialogs. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15323–15335, Singapore. Association for Computational Linguistics."
codefusion_a_pretrained_diffusion_model_for_code_generation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.716,singh-etal-2023-codefusion,"Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, and Gust Verbruggen. 2023. CodeFusion: A Pre-trained Diffusion Model for Code Generation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11697–11708, Singapore. Association for Computational Linguistics."
reasoning_like_program_executors,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.48,pi-etal-2022-reasoning,"Xinyu Pi, Qian Liu, Bei Chen, Morteza Ziyadi, Zeqi Lin, Qiang Fu, Yan Gao, Jian-Guang Lou, and Weizhu Chen. 2022. Reasoning Like Program Executors. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 761–779, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
representation_learning_for_typedriven_composition,November,2020.0,CoNLL,https://aclanthology.org/2020.conll-1.24,wijnholds-etal-2020-representation,"Gijs Wijnholds, Mehrnoosh Sadrzadeh, and Stephen Clark. 2020. Representation Learning for Type-Driven Composition. In Proceedings of the 24th Conference on Computational Natural Language Learning, pages 313–324, Online. Association for Computational Linguistics."
unire_a_unified_label_space_for_entity_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_image_captioning_via_predicting_structured_concepts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
kobigbirdlarge_transformation_of_transformer_for_korean_language_understanding,August,2024.0,Findings,https://aclanthology.org/2024.findings-acl.757,garbaciauskas-etal-2024-choose,"Lukas Garbaciauskas, Max Ploner, and Alan Akbik. 2024. Choose Your Transformer: Improved Transferability Estimation of Transformer Models on Classification Tasks. In Findings of the Association for Computational Linguistics: ACL 2024, pages 12752–12768, Bangkok, Thailand. Association for Computational Linguistics."
leveraging_graph_to_improve_abstractive_multidocument_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_graphbased_approach_to_string_regeneration,April,2014.0,EACL,https://aclanthology.org/E14-3010,horvat-byrne-2014-graph,"Matic Horvat and William Byrne. 2014. A Graph-Based Approach to String Regeneration. In Proceedings of the Student Research Workshop at the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 85–95, Gothenburg, Sweden. Association for Computational Linguistics."
factual_accuracy_is_not_enough_planning_consistent_description_order_for_radiology_report_generation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.480,nishino-etal-2022-factual,"Toru Nishino, Yasuhide Miura, Tomoki Taniguchi, Tomoko Ohkuma, Yuki Suzuki, Shoji Kido, and Noriyuki Tomiyama. 2022. Factual Accuracy is not Enough: Planning Consistent Description Order for Radiology Report Generation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7123–7138, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
deep_neural_language_models_for_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automated_topical_component_extraction_using_neural_network_attention_scores_from_sourcebased_essay_scoring,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.759,zhang-litman-2020-automated,"Haoran Zhang and Diane Litman. 2020. Automated Topical Component Extraction Using Neural Network Attention Scores from Source-based Essay Scoring. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8569–8584, Online. Association for Computational Linguistics."
the_influence_of_context_on_the_learning_of_metrical_stress_systems_using_finitestate_machines,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sentiment_as_an_ordinal_latent_variable,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.8,stoehr-etal-2023-sentiment,"Niklas Stoehr, Ryan Cotterell, and Aaron Schein. 2023. Sentiment as an Ordinal Latent Variable. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 103–115, Dubrovnik, Croatia. Association for Computational Linguistics."
mustie_multimodal_structural_transformer_for_web_information_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
morpheus_a_neural_network_for_jointly_learning_contextual_lemmatization_and_morphological_tagging,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluating_large_language_models_understanding_of_financial_terminology_via_definition_modeling,November,2023.0,,https://aclanthology.org/2023.ijcnlp-srw.12,jhirad-etal-2023-evaluating,"James Jhirad, Edison Marrese-Taylor, and Yutaka Matsuo. 2023. Evaluating Large Language Models’ Understanding of Financial Terminology via Definition Modeling. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 93–100, Nusa Dua, Bali. Association for Computational Linguistics."
sociocultural_norm_similarities_and_differences_via_situational_alignment_and_explainable_textual_entailment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gradsim_gradientbased_language_grouping_for_effective_multilingual_training,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_generative_language_models_for_zeroshot_crosslingual_event_argument_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
addmu_detection_of_farboundary_adversarial_examples_with_data_and_model_uncertainty_estimation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.440,yin-etal-2022-addmu,"Fan Yin, Yao Li, Cho-Jui Hsieh, and Kai-Wei Chang. 2022. ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6567–6584, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
learning_when_to_trust_distant_supervision_an_application_to_lowresource_pos_tagging_using_crosslingual_projection,August,2016.0,CoNLL,https://aclanthology.org/K16-1018,fang-cohn-2016-learning,"Meng Fang and Trevor Cohn. 2016. Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection. In Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, pages 178–186, Berlin, Germany. Association for Computational Linguistics."
domain_adapted_word_embeddings_for_improved_sentiment_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generative_entitytoentity_stance_detection_with_knowledge_graph_augmentation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.676,zhang-etal-2022-generative,"Xinliang Frederick Zhang, Nick Beauchamp, and Lu Wang. 2022. Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9950–9969, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
dialfact_a_benchmark_for_factchecking_in_dialogue,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
discosense_commonsense_reasoning_with_discourse_connectives,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.703,bhargava-ng-2022-discosense,"Prajjwal Bhargava and Vincent Ng. 2022. DiscoSense: Commonsense Reasoning with Discourse Connectives. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10295–10310, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
a_robust_risk_minimization_based_named_entity_recognition_system,,2003.0,CoNLL,https://aclanthology.org/W03-0434,zhang-johnson-2003-robust,"Tong Zhang and David Johnson. 2003. A Robust Risk Minimization based Named Entity Recognition System. In Proceedings of the Seventh Conference on Natural Language Learning at HLT-NAACL 2003, pages 204–207."
the_unstoppable_rise_of_computational_linguistics_in_deep_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
measuring_consistency_in_textbased_financial_forecasting_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
robust_learning_for_multiparty_addressee_recognition_with_discrete_addressee_codebook,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
correcting_grammatical_verb_errors,April,2014.0,EACL,https://aclanthology.org/E14-1038,rozovskaya-etal-2014-correcting,"Alla Rozovskaya, Dan Roth, and Vivek Srikumar. 2014. Correcting Grammatical Verb Errors. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 358–367, Gothenburg, Sweden. Association for Computational Linguistics."
what_do_models_learn_from_training_on_more_than_text_measuring_visual_commonsense_knowledge,May,2022.0,ACL,https://aclanthology.org/2022.acl-srw.19,hagstrom-johansson-2022-models,"Lovisa Hagström and Richard Johansson. 2022. What do Models Learn From Training on More Than Text? Measuring Visual Commonsense Knowledge. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 252–261, Dublin, Ireland. Association for Computational Linguistics."
confusionsetguided_pointer_networks_for_chinese_spelling_check,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
openended_knowledge_tracing_for_computer_science_education,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
zeroshot_crosslingual_transfer_of_promptbased_tuning_with_a_unified_multilingual_prompt,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.790,huang-etal-2022-zero,"Lianzhe Huang, Shuming Ma, Dongdong Zhang, Furu Wei, and Houfeng Wang. 2022. Zero-shot Cross-lingual Transfer of Prompt-based Tuning with a Unified Multilingual Prompt. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11488–11497, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
an_experimental_analysis_of_noisecontrastive_estimation_the_noise_distribution_matters,April,2017.0,EACL,https://aclanthology.org/E17-2003,labeau-allauzen-2017-experimental,"Matthieu Labeau and Alexandre Allauzen. 2017. An experimental analysis of Noise-Contrastive Estimation: the noise distribution matters. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 15–20, Valencia, Spain. Association for Computational Linguistics."
human_attention_maps_for_text_classification_do_humans_and_neural_networks_focus_on_the_same_words,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
efficient_outside_computation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
largescale_transfer_learning_for_natural_language_generation,July,2019.0,ACL,https://aclanthology.org/P19-1608,golovanov-etal-2019-large,"Sergey Golovanov, Rauf Kurbanov, Sergey Nikolenko, Kyryl Truskovskyi, Alexander Tselousov, and Thomas Wolf. 2019. Large-Scale Transfer Learning for Natural Language Generation. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 6053–6058, Florence, Italy. Association for Computational Linguistics."
crossalign_modeling_deep_crosslingual_interactions_for_word_alignment,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.244,lai-etal-2022-cross,"Siyu Lai, Zhen Yang, Fandong Meng, Yufeng Chen, Jinan Xu, and Jie Zhou. 2022. Cross-Align: Modeling Deep Cross-lingual Interactions for Word Alignment. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3715–3725, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
composable_sparse_finetuning_for_crosslingual_transfer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
discourse_relations_and_conjoined_vps_automated_sense_recognition,April,2017.0,EACL,https://aclanthology.org/E17-4004,pyatkin-webber-2017-discourse,"Valentina Pyatkin and Bonnie Webber. 2017. Discourse Relations and Conjoined VPs: Automated Sense Recognition. In Proceedings of the Student Research Workshop at the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 33–42, Valencia, Spain. Association for Computational Linguistics."
mode_effects_challenge_to_authorship_attribution,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.97,wang-etal-2021-mode,"Haining Wang, Allen Riddell, and Patrick Juola. 2021. Mode Effects’ Challenge to Authorship Attribution. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1146–1155, Online. Association for Computational Linguistics."
automatic_academic_paper_rating_based_on_modularized_hierarchical_convolutional_neural_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
make_every_example_count_on_the_stability_and_utility_of_selfinfluence_for_learning_from_noisy_nlp_datasets,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
faithful_model_evaluation_for_modelbased_metrics,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_dialog_systems_for_negotiation_with_personality_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_confidence_for_transformerbased_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_quantifiable_dialogue_coherence_evaluation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crossmodal_coherence_modeling_for_caption_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
quality_estimation_without_humanlabeled_data,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.50,tuan-etal-2021-quality,"Yi-Lin Tuan, Ahmed El-Kishky, Adithya Renduchintala, Vishrav Chaudhary, Francisco Guzmán, and Lucia Specia. 2021. Quality Estimation without Human-labeled Data. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 619–625, Online. Association for Computational Linguistics."
multimet_a_multimodal_dataset_for_metaphor_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
stance_detection_on_social_media_with_background_knowledge,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.972,li-etal-2023-stance,"Ang Li, Bin Liang, Jingqian Zhao, Bowen Zhang, Min Yang, and Ruifeng Xu. 2023. Stance Detection on Social Media with Background Knowledge. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15703–15717, Singapore. Association for Computational Linguistics."
unitn_endtoend_discourse_parser_for_conll_2016_shared_task,August,2016.0,CoNLL,https://aclanthology.org/K16-2012,stepanov-riccardi-2016-unitn,"Evgeny Stepanov and Giuseppe Riccardi. 2016. UniTN End-to-End Discourse Parser for CoNLL 2016 Shared Task. In Proceedings of the CoNLL-16 shared task, pages 85–91, Berlin, Germany. Association for Computational Linguistics."
argument_mining_for_review_helpfulness_prediction,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.609,chen-etal-2022-argument,"Zaiqian Chen, Daniel Verdi do Amarante, Jenna Donaldson, Yohan Jo, and Joonsuk Park. 2022. Argument Mining for Review Helpfulness Prediction. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8914–8922, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
miqa_a_benchmark_for_inference_on_metaphorical_questions,November,2022.0,,https://aclanthology.org/2022.aacl-short.46,comsa-etal-2022-miqa,"Iulia Comșa, Julian Eisenschlos, and Srini Narayanan. 2022. MiQA: A Benchmark for Inference on Metaphorical Questions. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 373–381, Online only. Association for Computational Linguistics."
adaptive_nearest_neighbor_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cluhtm__semantic_hierarchical_topic_modeling_based_on_cluwords,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bootstrapping_information_extraction_from_field_books,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
facilitating_contrastive_learning_of_discourse_relational_senses_by_exploiting_the_hierarchy_of_sense_relations,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.734,long-webber-2022-facilitating,"Wanqiu Long and Bonnie Webber. 2022. Facilitating Contrastive Learning of Discourse Relational Senses by Exploiting the Hierarchy of Sense Relations. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10704–10716, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
sigmorphon_2019_task_2_system_description_paper_morphological_analysis_in_context_for_many_languages_with_supervision_from_only_a_few,August,2019.0,ACL,https://aclanthology.org/W19-4211,aiken-etal-2019-sigmorphon,"Brad Aiken, Jared Kelly, Alexis Palmer, Suleyman Olcay Polat, Taraka Rama, and Rodney Nielsen. 2019. Sigmorphon 2019 Task 2 system description paper: Morphological analysis in context for many languages, with supervision from only a few. In Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 87–94, Florence, Italy. Association for Computational Linguistics."
ucreat_unsupervised_case_retrieval_using_events_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
measuring_what_counts_the_case_of_rumour_stance_classification,December,2020.0,AACL,https://aclanthology.org/2020.aacl-main.92,scarton-etal-2020-measuring,"Carolina Scarton, Diego Silva, and Kalina Bontcheva. 2020. Measuring What Counts: The Case of Rumour Stance Classification. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, pages 925–932, Suzhou, China. Association for Computational Linguistics."
unsupervised_pronoun_resolution_via_masked_nounphrase_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
stylesensitive_sentence_embeddings_for_evaluating_similarity_in_speech_style_of_japanese_sentences_by_contrastive_learning,November,2023.0,,https://aclanthology.org/2023.ijcnlp-srw.5,zenimoto-etal-2023-style,"Yuki Zenimoto, Shinzan Komata, and Takehito Utsuro. 2023. Style-sensitive Sentence Embeddings for Evaluating Similarity in Speech Style of Japanese Sentences by Contrastive Learning. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 32–39, Nusa Dua, Bali. Association for Computational Linguistics."
relationaware_bidirectional_path_reasoning_for_commonsense_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gcdt_a_chinese_rst_treebank_for_multigenre_and_multilingual_discourse_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multicapclip_autoencoding_prompts_for_zeroshot_multilingual_visual_captioning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_chainstarting_classifier_of_definite_nps_in_spanish,April,2009.0,EACL,https://aclanthology.org/E09-3006,recasens-2009-chain,"Marta Recasens. 2009. A Chain-starting Classifier of Definite NPs in Spanish. In Proceedings of the Student Research Workshop at EACL 2009, pages 46–53, Athens, Greece. Association for Computational Linguistics."
just_finetune_twice_selective_differential_privacy_for_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
zeroshot_approach_to_overcome_perturbation_sensitivity_of_prompts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
two_birds_one_stone_a_simple_unified_model_for_text_generation_from_structured_and_unstructured_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
context2vec_learning_generic_context_embedding_with_bidirectional_lstm,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
peeptalk_a_situational_dialoguebased_chatbot_for_english_education,July,2023.0,ACL,https://aclanthology.org/2023.acl-demo.18,lee-etal-2023-peep,"Seungjun Lee, Yoonna Jang, Chanjun Park, Jungseob Lee, Jaehyung Seo, Hyeonseok Moon, Sugyeong Eo, Seounghoon Lee, Bernardo Yahya, and Heuiseok Lim. 2023. PEEP-Talk: A Situational Dialogue-based Chatbot for English Education. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 190–207, Toronto, Canada. Association for Computational Linguistics."
streaming_models_for_joint_speech_recognition_and_translation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.216,weller-etal-2021-streaming,"Orion Weller, Matthias Sperber, Christian Gollan, and Joris Kluivers. 2021. Streaming Models for Joint Speech Recognition and Translation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2533–2539, Online. Association for Computational Linguistics."
ctfn_hierarchical_learning_for_multimodal_sentiment_analysis_using_coupledtranslation_fusion_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sentiment_analysis_on_naijatweets,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cosy_counterfactual_syntax_for_crosslingual_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
controversy_and_conformity_from_generalized_to_personalized_aggressiveness_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
powerlaw_distributions_for_paraphrases_extracted_from_bilingual_corpora,April,2012.0,EACL,https://aclanthology.org/E12-1002,martzoukos-monz-2012-power,"Spyros Martzoukos and Christof Monz. 2012. Power-Law Distributions for Paraphrases Extracted from Bilingual Corpora. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 2–11, Avignon, France. Association for Computational Linguistics."
nested_named_entity_recognition_as_latent_lexicalized_constituency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
supporting_cognitive_and_emotional_empathic_writing_of_students,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
element_intervention_for_open_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_extensible_framework_for_verification_of_numerical_claims,April,2017.0,EACL,https://aclanthology.org/E17-3010,thorne-vlachos-2017-extensible,"James Thorne and Andreas Vlachos. 2017. An Extensible Framework for Verification of Numerical Claims. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 37–40, Valencia, Spain. Association for Computational Linguistics."
down_and_across_introducing_crosswordsolving_as_a_new_nlp_benchmark,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_mechanical_bard_an_interpretable_machine_learning_approach_to_shakespearean_sonnet_generation,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.140,agnew-etal-2023-mechanical,"Edwin Agnew, Michelle Qiu, Lily Zhu, Sam Wiseman, and Cynthia Rudin. 2023. The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet Generation. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1627–1638, Toronto, Canada. Association for Computational Linguistics."
lexicon_learning_for_few_shot_sequence_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_cognitive_regularizer_for_language_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploiting_rich_features_for_detecting_hedges_and_their_scope,July,2010.0,CoNLL,https://aclanthology.org/W10-3011,li-etal-2010-exploiting,"Xinxin Li, Jianping Shen, Xiang Gao, and Xuan Wang. 2010. Exploiting Rich Features for Detecting Hedges and their Scope. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task, pages 78–83, Uppsala, Sweden. Association for Computational Linguistics."
overreasoning_and_redundant_calculation_of_large_language_models,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.15,chiang-lee-2024-reasoning,"Cheng-Han Chiang and Hung-yi Lee. 2024. Over-Reasoning and Redundant Calculation of Large Language Models. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 161–169, St. Julian’s, Malta. Association for Computational Linguistics."
architectural_sweet_spots_for_modeling_human_label_variation_by_the_example_of_argument_quality_its_best_to_relate_perspectives,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.687,heinisch-etal-2023-architectural,"Philipp Heinisch, Matthias Orlikowski, Julia Romberg, and Philipp Cimiano. 2023. Architectural Sweet Spots for Modeling Human Label Variation by the Example of Argument Quality: It’s Best to Relate Perspectives!. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11138–11154, Singapore. Association for Computational Linguistics."
joint_entity_extraction_and_assertion_detection_for_clinical_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
speech_recognition_and_meaning_interpretation_towards_disambiguation_of_structurally_ambiguous_spoken_utterances_in_indonesian,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.1045,widiaputri-etal-2023-speech,"Ruhiyah Widiaputri, Ayu Purwarianti, Dessi Lestari, Kurniawati Azizah, Dipta Tanaya, and Sakriani Sakti. 2023. Speech Recognition and Meaning Interpretation: Towards Disambiguation of Structurally Ambiguous Spoken Utterances in Indonesian. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16813–16824, Singapore. Association for Computational Linguistics."
resisting_the_lure_of_the_skyline_grounding_practices_in_active_learning_for_morphological_inflection,August,2024.0,ACL,https://aclanthology.org/2024.acl-short.4,muradoglu-etal-2024-resisting,"Saliha Muradoglu, Michael Ginn, Miikka Silfverberg, and Mans Hulden. 2024. Resisting the Lure of the Skyline: Grounding Practices in Active Learning for Morphological Inflection. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 47–55, Bangkok, Thailand. Association for Computational Linguistics."
pneg_promptbased_negative_response_generation_for_dialogue_response_selection_task,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.733,lee-etal-2022-pneg,"Nyoungwoo Lee, ChaeHun Park, Ho-Jin Choi, and Jaegul Choo. 2022. Pneg: Prompt-based Negative Response Generation for Dialogue Response Selection Task. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10692–10703, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
talk_to_me_with_left_right_and_angles_lexical_entrainment_in_spoken_hebrew_dialogue,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.23,weise-etal-2021-talk,"Andreas Weise, Vered Silber-Varod, Anat Lerner, Julia Hirschberg, and Rivka Levitan. 2021. “Talk to me with left, right, and angles”: Lexical entrainment in spoken Hebrew dialogue. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 292–299, Online. Association for Computational Linguistics."
who_did_what_to_whom_language_models_and_humans_respond_diversely_to_features_affecting_argument_hierarchy_construction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_the_robustness_of_question_answering_systems_to_question_paraphrasing,July,2019.0,ACL,https://aclanthology.org/P19-1610,gan-ng-2019-improving,"Wee Chung Gan and Hwee Tou Ng. 2019. Improving the Robustness of Question Answering Systems to Question Paraphrasing. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 6065–6075, Florence, Italy. Association for Computational Linguistics."
cda_a_cost_efficient_contentbased_multilingual_web_document_aligner,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.266,vu-moschitti-2021-cda,"Thuy Vu and Alessandro Moschitti. 2021. CDA: a Cost Efficient Content-based Multilingual Web Document Aligner. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3053–3061, Online. Association for Computational Linguistics."
recursive_templatebased_frame_generation_for_task_oriented_dialog,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
prequel_quality_estimation_of_machine_translation_outputs_in_advance,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
shrinking_embeddings_for_hyperrelational_knowledge_graphs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
attention_calibration_for_transformer_in_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pair_promptaware_margin_ranking_for_counselor_reflection_scoring_in_motivational_interviewing,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.11,min-etal-2022-pair,"Do June Min, Verónica Pérez-Rosas, Kenneth Resnicow, and Rada Mihalcea. 2022. PAIR: Prompt-Aware margIn Ranking for Counselor Reflection Scoring in Motivational Interviewing. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 148–158, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
in_conclusion_not_repetition_comprehensive_abstractive_summarization_with_diversified_attention_based_on_determinantal_point_processes,November,2019.0,CoNLL,https://aclanthology.org/K19-1077,li-etal-2019-conclusion,"Lei Li, Wei Liu, Marina Litvak, Natalia Vanetik, and Zuying Huang. 2019. In Conclusion Not Repetition: Comprehensive Abstractive Summarization with Diversified Attention Based on Determinantal Point Processes. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 822–832, Hong Kong, China. Association for Computational Linguistics."
generating_weather_comments_from_meteorological_simulations,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.125,murakami-etal-2021-generating,"Soichiro Murakami, Sora Tanaka, Masatsugu Hangyo, Hidetaka Kamigaito, Kotaro Funakoshi, Hiroya Takamura, and Manabu Okumura. 2021. Generating Weather Comments from Meteorological Simulations. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1462–1473, Online. Association for Computational Linguistics."
latent_entities_extraction_how_to_extract_entities_that_do_not_appear_in_the_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
identifying_weaknesses_in_machine_translation_metrics_through_minimum_bayes_risk_decoding_a_case_study_for_comet,November,2022.0,,https://aclanthology.org/2022.aacl-main.83,amrhein-sennrich-2022-identifying,"Chantal Amrhein and Rico Sennrich. 2022. Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 1125–1141, Online only. Association for Computational Linguistics."
identifying_fake_amazon_reviews_as_learning_from_crowds,April,2014.0,EACL,https://aclanthology.org/E14-1030,fornaciari-poesio-2014-identifying,"Tommaso Fornaciari and Massimo Poesio. 2014. Identifying fake Amazon reviews as learning from crowds. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 279–287, Gothenburg, Sweden. Association for Computational Linguistics."
binarizing_syntax_trees_to_improve_syntaxbased_machine_translation_accuracy,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
computational_historical_linguistics_and_language_diversity_in_south_asia,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
elaborative_simplification_as_implicit_questions_under_discussion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hypernymy_detection_for_lowresource_languages_via_meta_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
comparing_attentionbased_convolutional_and_recurrent_neural_networks_success_and_limitations_in_machine_reading_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adaptive_sentence_boundary_disambiguation,October,1994.0,ANLP,https://aclanthology.org/A94-1013,palmer-hearst-1994-adaptive,"David D. Palmer and Marti A. Hearst. 1994. Adaptive Sentence Boundary Disambiguation. In Fourth Conference on Applied Natural Language Processing, pages 78–83, Stuttgart, Germany. Association for Computational Linguistics."
sequential_neural_networks_as_automata,August,2019.0,ACL,https://aclanthology.org/W19-3901,merrill-2019-sequential,"William Merrill. 2019. Sequential Neural Networks as Automata. In Proceedings of the Workshop on Deep Learning and Formal Languages: Building Bridges, pages 1–13, Florence. Association for Computational Linguistics."
a_knowledgeguided_framework_for_frame_identification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluating_large_language_models_on_controlled_generation_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
that_is_a_known_lie_detecting_previously_factchecked_claims,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
knowledge_tracing_in_sequential_learning_of_inflected_vocabulary,August,2017.0,CoNLL,https://aclanthology.org/K17-1025,renduchintala-etal-2017-knowledge,"Adithya Renduchintala, Philipp Koehn, and Jason Eisner. 2017. Knowledge Tracing in Sequential Learning of Inflected Vocabulary. In Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), pages 238–247, Vancouver, Canada. Association for Computational Linguistics."
a_rationalecentric_framework_for_humanintheloop_machine_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_natural_language_inference_models_enhanced_with_external_knowledge,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
transfer_learning_with_synthetic_corpora_for_spatial_role_labeling_and_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multiple_character_embeddings_for_chinese_word_segmentation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enabling_lightweight_finetuning_for_pretrained_language_model_compression_based_on_matrix_product_operators,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
from_strings_to_other_things_linking_the_neighborhood_and_transposition_effects_in_word_reading,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adaptive_transformationbased_learning_for_improving_dictionary_tagging,April,2006.0,EACL,https://aclanthology.org/E06-1033,karagol-ayan-etal-2006-adaptive,"Burcu Karagol-Ayan, David Doermann, and Amy Weinberg. 2006. Adaptive Transformation-Based Learning for Improving Dictionary Tagging. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 257–264, Trento, Italy. Association for Computational Linguistics."
multimodal_neural_graph_memory_networks_for_visual_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
he_said_whos_gonna_take_care_of_your_children_when_you_are_at_acl_reported_sexist_acts_are_not_sexist,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
preserving_commonsense_knowledge_from_pretrained_language_models_via_causal_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
linking_entities_across_images_and_text,July,2015.0,CoNLL,https://aclanthology.org/K15-1019,weegar-etal-2015-linking,"Rebecka Weegar, Kalle Åström, and Pierre Nugues. 2015. Linking Entities Across Images and Text. In Proceedings of the Nineteenth Conference on Computational Natural Language Learning, pages 185–193, Beijing, China. Association for Computational Linguistics."
validation_and_evaluation_of_automatically_acquired_multiword_expressions_for_grammar_engineering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
using_contradictions_improves_question_answering_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
byteranked_curriculum_learning_for_babylm_strictsmall_shared_task_2023,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
do_multihop_question_answering_systems_know_how_to_answer_the_singlehop_subquestions,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.283,tang-etal-2021-multi,"Yixuan Tang, Hwee Tou Ng, and Anthony Tung. 2021. Do Multi-Hop Question Answering Systems Know How to Answer the Single-Hop Sub-Questions?. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3244–3249, Online. Association for Computational Linguistics."
an_incremental_bayesian_model_for_learning_syntactic_categories,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_weighted_robust_parsing_approach_to_semantic_annotation,,2000.0,ANLP,https://aclanthology.org/A00-3004,ghorbel-pallotta-2000-weighted,Hatem Ghorbel and Vincenzo Pallotta. 2000. A Weighted Robust Parsing Approach to Semantic Annotation. In Proceedings of the ANLP-NAACL 2000 Student Research Workshop.
sequencetonuggets_nested_entity_mention_detection_via_anchorregion_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
table_and_image_generation_for_investigating_knowledge_of_entities_in_pretrained_vision_and_language_models,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.162,kamigaito-etal-2023-table,"Hidetaka Kamigaito, Katsuhiko Hayashi, and Taro Watanabe. 2023. Table and Image Generation for Investigating Knowledge of Entities in Pre-trained Vision and Language Models. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1904–1917, Toronto, Canada. Association for Computational Linguistics."
simsum_documentlevel_text_simplification_via_simultaneous_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_lmu_system_for_the_conllsigmorphon_2017_shared_task_on_universal_morphological_reinflection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
probabilistic_hierarchical_clustering_of_morphological_paradigms,April,2012.0,EACL,https://aclanthology.org/E12-1067,can-manandhar-2012-probabilistic,"Burcu Can and Suresh Manandhar. 2012. Probabilistic Hierarchical Clustering of Morphological Paradigms. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 654–663, Avignon, France. Association for Computational Linguistics."
hierarchical_entity_typing_via_multilevel_learning_to_rank,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.749,chen-etal-2020-hierarchical,"Tongfei Chen, Yunmo Chen, and Benjamin Van Durme. 2020. Hierarchical Entity Typing via Multi-level Learning to Rank. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8465–8475, Online. Association for Computational Linguistics."
spm_a_splitparsing_method_for_joint_multiintent_detection_and_slot_filling,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.64,jiang-etal-2023-spm,"Sheng Jiang, Su Zhu, Ruisheng Cao, Qingliang Miao, and Kai Yu. 2023. SPM: A Split-Parsing Method for Joint Multi-Intent Detection and Slot Filling. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 668–675, Toronto, Canada. Association for Computational Linguistics."
the_techqa_dataset,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
measuring_normative_and_descriptive_biases_in_language_models_using_census_data,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.164,touileb-etal-2023-measuring,"Samia Touileb, Lilja Øvrelid, and Erik Velldal. 2023. Measuring Normative and Descriptive Biases in Language Models Using Census Data. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2242–2248, Dubrovnik, Croatia. Association for Computational Linguistics."
sense_embeddings_are_also_biased__evaluating_social_biases_in_static_and_contextualised_sense_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sequence_parallelism_long_sequence_training_from_system_perspective,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
duqm_a_chinese_dataset_of_linguistically_perturbed_natural_questions_for_evaluating_the_robustness_of_question_matching_models,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.531,zhu-etal-2022-duqm,"Hongyu Zhu, Yan Chen, Jing Yan, Jing Liu, Yu Hong, Ying Chen, Hua Wu, and Haifeng Wang. 2022. DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7782–7794, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
a_mixed_deterministic_model_for_coreference_resolution,July,2012.0,CoNLL,https://aclanthology.org/W12-4507,yuan-etal-2012-mixed,"Bo Yuan, Qingcai Chen, Yang Xiang, Xiaolong Wang, Liping Ge, Zengjian Liu, Meng Liao, and Xianbo Si. 2012. A Mixed Deterministic Model for Coreference Resolution. In Joint Conference on EMNLP and CoNLL - Shared Task, pages 76–82, Jeju Island, Korea. Association for Computational Linguistics."
on_efficiently_acquiring_annotations_for_multilingual_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_event_coreference_resolution_using_documentlevel_and_topiclevel_information,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
text_characterization_toolkit_tct,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mirror_a_universal_framework_for_various_information_extraction_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
synchronous_doublechannel_recurrent_network_for_aspectopinion_pair_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
chinese_open_relation_extraction_for_knowledge_acquisition,April,2014.0,EACL,https://aclanthology.org/E14-4003,tseng-etal-2014-chinese,"Yuen-Hsien Tseng, Lung-Hao Lee, Shu-Yen Lin, Bo-Shun Liao, Mei-Jun Liu, Hsin-Hsi Chen, Oren Etzioni, and Anthony Fader. 2014. Chinese Open Relation Extraction for Knowledge Acquisition. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 12–16, Gothenburg, Sweden. Association for Computational Linguistics."
a_classification_approach_to_word_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
catchphrase_automatic_detection_of_cultural_references,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
like_a_baby_visually_situated_neural_language_acquisition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
not_to_overfit_or_underfit_the_source_domains_an_empirical_study_of_domain_generalization_in_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
derivation_of_document_vectors_from_adaptation_of_lstm_language_model,April,2017.0,EACL,https://aclanthology.org/E17-2073,li-mak-2017-derivation,"Wei Li and Brian Mak. 2017. Derivation of Document Vectors from Adaptation of LSTM Language Model. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 456–461, Valencia, Spain. Association for Computational Linguistics."
probing_for_targeted_syntactic_knowledge_through_grammatical_error_detection,December,2022.0,CoNLL,https://aclanthology.org/2022.conll-1.25,davis-etal-2022-probing,"Christopher Davis, Christopher Bryant, Andrew Caines, Marek Rei, and Paula Buttery. 2022. Probing for targeted syntactic knowledge through grammatical error detection. In Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL), pages 360–373, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics."
multilevel_adaptive_contrastive_learning_for_knowledge_internalization_in_dialogue_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bert2bert_towards_reusable_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
domain_adaptive_inference_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
zeroshot_text_classification_via_reinforced_selftraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lost_in_translationese_reducing_translation_effect_using_abstract_meaning_representation,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.45,wein-schneider-2024-lost,"Shira Wein and Nathan Schneider. 2024. Lost in Translationese? Reducing Translation Effect Using Abstract Meaning Representation. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 753–765, St. Julian’s, Malta. Association for Computational Linguistics."
talksumm_a_dataset_and_scalable_annotation_method_for_scientific_paper_summarization_based_on_conference_talks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
addressing_linguistic_bias_through_a_contrastive_analysis_of_academic_writing_in_the_nlp_domain,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.1042,ridley-etal-2023-addressing,"Robert Ridley, Zhen Wu, Jianbing Zhang, Shujian Huang, and Xinyu Dai. 2023. Addressing Linguistic Bias through a Contrastive Analysis of Academic Writing in the NLP Domain. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16765–16779, Singapore. Association for Computational Linguistics."
adapting_text_instead_of_the_model_an_open_domain_approach,June,2011.0,CoNLL,https://aclanthology.org/W11-0327,kundu-roth-2011-adapting,"Gourab Kundu and Dan Roth. 2011. Adapting Text instead of the Model: An Open Domain Approach. In Proceedings of the Fifteenth Conference on Computational Natural Language Learning, pages 229–237, Portland, Oregon, USA. Association for Computational Linguistics."
cocoscisum_a_scientific_summarization_toolkit_with_compositional_controllability,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generalising_to_german_plural_noun_classes_from_the_perspective_of_a_recurrent_neural_network,November,2021.0,CoNLL,https://aclanthology.org/2021.conll-1.8,dankers-etal-2021-generalising,"Verna Dankers, Anna Langedijk, Kate McCurdy, Adina Williams, and Dieuwke Hupkes. 2021. Generalising to German Plural Noun Classes, from the Perspective of a Recurrent Neural Network. In Proceedings of the 25th Conference on Computational Natural Language Learning, pages 94–108, Online. Association for Computational Linguistics."
what_makes_sentences_semantically_related_a_textual_relatedness_dataset_and_empirical_study,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.55,abdalla-etal-2023-makes,"Mohamed Abdalla, Krishnapriya Vishnubhotla, and Saif Mohammad. 2023. What Makes Sentences Semantically Related? A Textual Relatedness Dataset and Empirical Study. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 782–796, Dubrovnik, Croatia. Association for Computational Linguistics."
s2abel_a_dataset_for_entity_linking_from_scientific_tables,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
just_onesec_for_producing_multilingual_senseannotated_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
paladin_an_annotation_tool_based_on_active_and_proactive_learning,April,2021.0,EACL,https://aclanthology.org/2021.eacl-demos.28,nghiem-etal-2021-paladin,"Minh-Quoc Nghiem, Paul Baylis, and Sophia Ananiadou. 2021. Paladin: an annotation tool based on active and proactive learning. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 238–243, Online. Association for Computational Linguistics."
learning_to_deceive_with_attentionbased_explanations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
discourse_parsing_enhanced_by_discourse_dependence_perception,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
navigating_connected_memories_with_a_taskoriented_dialog_system,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.160,kottur-etal-2022-navigating,"Satwik Kottur, Seungwhan Moon, Alborz Geramifard, and Babak Damavandi. 2022. Navigating Connected Memories with a Task-oriented Dialog System. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 2495–2507, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
unilg_a_unified_structureaware_framework_for_lyrics_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
graph_meets_llm_a_novel_approach_to_collaborative_filtering_for_robust_conversational_understanding,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.75,chen-etal-2023-graph,"Zheng Chen, Ziyan Jiang, Fan Yang, Eunah Cho, Xing Fan, Xiaojiang Huang, Yanbin Lu, and Aram Galstyan. 2023. Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 811–819, Singapore. Association for Computational Linguistics."
zoom_out_and_observe_news_environment_perception_for_fake_news_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pairre_knowledge_graph_embeddings_via_paired_relation_vectors,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
accelerating_code_search_with_deep_hashing_and_code_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
transforming_sequence_tagging_into_a_seq2seq_task,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.813,raman-etal-2022-transforming,"Karthik Raman, Iftekhar Naim, Jiecao Chen, Kazuma Hashimoto, Kiran Yalasangi, and Krishna Srinivasan. 2022. Transforming Sequence Tagging Into A Seq2Seq Task. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11856–11874, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
classincremental_learning_based_on_label_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatic_poetry_generation_from_prosaic_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
joint_verification_and_reranking_for_open_fact_checking_over_tables,August,2021.0,,https://aclanthology.org/2021.acl-long.529,schlichtkrull-etal-2021-joint,"Michael Sejr Schlichtkrull, Vladimir Karpukhin, Barlas Oguz, Mike Lewis, Wen-tau Yih, and Sebastian Riedel. 2021. Joint Verification and Reranking for Open Fact Checking Over Tables. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 6787–6799, Online. Association for Computational Linguistics."
integrating_meaning_into_quality_evaluation_of_machine_translation,April,2017.0,EACL,https://aclanthology.org/E17-1020,baskaya-etal-2017-integrating,"Osman Başkaya, Eray Yildiz, Doruk Tunaoğlu, Mustafa Tolga Eren, and A. Seza Doğruöz. 2017. Integrating Meaning into Quality Evaluation of Machine Translation. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 210–219, Valencia, Spain. Association for Computational Linguistics."
noisy_channel_language_model_prompting_for_fewshot_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
extrinsic_evaluation_of_machine_translation_metrics,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_need_of_cross_validation_for_discourse_relation_classification,April,2017.0,EACL,https://aclanthology.org/E17-2024,shi-demberg-2017-need,"Wei Shi and Vera Demberg. 2017. On the Need of Cross Validation for Discourse Relation Classification. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 150–156, Valencia, Spain. Association for Computational Linguistics."
simple_and_effective_curriculum_pointergenerator_networks_for_reading_comprehension_over_long_narratives,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_simple_yet_effective_hybrid_pretrained_language_model_for_unsupervised_sentence_acceptability_prediction,November,2022.0,,https://aclanthology.org/2022.aacl-short.25,zhao-yoshida-2022-simple,"Yang Zhao and Issei Yoshida. 2022. A Simple Yet Effective Hybrid Pre-trained Language Model for Unsupervised Sentence Acceptability Prediction. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 194–201, Online only. Association for Computational Linguistics."
a_metalearning_approach_to_processing_the_scope_of_negation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
issues_surrounding_the_use_of_chatgpt_in_similar_languages_the_case_of_malay_and_indonesian,November,2023.0,,https://aclanthology.org/2023.ijcnlp-short.9,nomoto-2023-issues,"Hiroki Nomoto. 2023. Issues Surrounding the Use of ChatGPT in Similar Languages: The Case of Malay and Indonesian. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 76–82, Nusa Dua, Bali. Association for Computational Linguistics."
babylm_challenge_curriculum_learning_based_on_sentence_complexity_approximating_language_acquisition,December,2023.0,CoNLL,https://aclanthology.org/2023.conll-babylm.25,oba-etal-2023-babylm,"Miyu Oba, Akari Haga, Akiyo Fukatsu, and Yohei Oseki. 2023. BabyLM Challenge: Curriculum learning based on sentence complexity approximating language acquisition. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 290–297, Singapore. Association for Computational Linguistics."
exploring_the_role_of_context_to_distinguish_rhetorical_and_informationseeking_questions,July,2020.0,ACL,https://aclanthology.org/2020.acl-srw.41,zhuang-riloff-2020-exploring,"Yuan Zhuang and Ellen Riloff. 2020. Exploring the Role of Context to Distinguish Rhetorical and Information-Seeking Questions. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 306–312, Online. Association for Computational Linguistics."
curriculum_learning_for_graph_neural_networks_a_multiview_competencebased_approach,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
promptbased_distribution_alignment_for_domain_generalization_in_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_transformerbased_program_repair_model_through_false_behavior_diagnosis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
structureaware_knowledge_graphtotext_generation_with_planning_selection_and_similarity_distinction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tldr_progress_multifaceted_literature_exploration_in_text_summarization,March,2024.0,EACL,https://aclanthology.org/2024.eacl-demo.21,syed-etal-2024-tl,"Shahbaz Syed, Khalid Al Khatib, and Martin Potthast. 2024. TL;DR Progress: Multi-faceted Literature Exploration in Text Summarization. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 195–206, St. Julians, Malta. Association for Computational Linguistics."
towards_climate_awareness_in_nlp_research,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
counting_the_bugs_in_chatgpts_wugs_a_multilingual_investigation_into_the_morphological_capabilities_of_a_large_language_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adapler_speeding_up_inference_by_adaptive_length_reduction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
stay_on_the_path_instruction_fidelity_in_visionandlanguage_navigation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
buster_a_business_transaction_entity_recognition_dataset,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
chinese_native_language_identification,April,2014.0,EACL,https://aclanthology.org/E14-4019,malmasi-dras-2014-chinese,"Shervin Malmasi and Mark Dras. 2014. Chinese Native Language Identification. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 95–99, Gothenburg, Sweden. Association for Computational Linguistics."
contextual_dynamic_prompting_for_response_generation_in_taskoriented_dialog_systems,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.226,swamy-etal-2023-contextual,"Sandesh Swamy, Narges Tabari, Chacha Chen, and Rashmi Gangadharaiah. 2023. Contextual Dynamic Prompting for Response Generation in Task-oriented Dialog Systems. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3102–3111, Dubrovnik, Croatia. Association for Computational Linguistics."
reconstructing_false_start_errors_in_spontaneous_speech_text,March,2009.0,EACL,https://aclanthology.org/E09-1030,fitzgerald-etal-2009-reconstructing,"Erin Fitzgerald, Keith Hall, and Frederick Jelinek. 2009. Reconstructing False Start Errors in Spontaneous Speech Text. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 255–263, Athens, Greece. Association for Computational Linguistics."
conll_2017_shared_task_multilingual_parsing_from_raw_text_to_universal_dependencies,August,2017.0,CoNLL,https://aclanthology.org/K17-3001,zeman-etal-2017-conll,"Daniel Zeman, Martin Popel, Milan Straka, Jan Hajič, Joakim Nivre, Filip Ginter, Juhani Luotolahti, Sampo Pyysalo, Slav Petrov, Martin Potthast, Francis Tyers, Elena Badmaeva, Memduh Gokirmak, Anna Nedoluzhko, Silvie Cinková, Jan Hajič jr., Jaroslava Hlaváčová, Václava Kettnerová, Zdeňka Urešová, et al.. 2017. CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. In Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 1–19, Vancouver, Canada. Association for Computational Linguistics."
twist_decoding_diverse_generators_guide_each_other,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.326,kasai-etal-2022-twist,"Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir Radev, Yejin Choi, and Noah A. Smith. 2022. Twist Decoding: Diverse Generators Guide Each Other. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4909–4923, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
fasthan_a_bertbased_multitask_toolkit_for_chinese_nlp,August,2021.0,,https://aclanthology.org/2021.acl-demo.12,geng-etal-2021-fasthan,"Zhichao Geng, Hang Yan, Xipeng Qiu, and Xuanjing Huang. 2021. fastHan: A BERT-based Multi-Task Toolkit for Chinese NLP. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations, pages 99–106, Online. Association for Computational Linguistics."
politeness_transfer_a_tag_and_generate_approach,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
genie_toward_reproducible_and_standardized_human_evaluation_for_text_generation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.787,khashabi-etal-2022-genie,"Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, and Daniel Weld. 2022. GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11444–11458, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
tinyattention_adapter_contexts_are_more_important_than_the_number_of_parameters,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.444,zhao-etal-2022-tiny,"Hongyu Zhao, Hao Tan, and Hongyuan Mei. 2022. Tiny-Attention Adapter: Contexts Are More Important Than the Number of Parameters. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6626–6638, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
geometryaware_domain_adaptation_for_unsupervised_alignment_of_word_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
building_location_embeddings_from_physical_trajectories_and_textual_representations,December,2020.0,AACL,https://aclanthology.org/2020.aacl-main.44,biester-etal-2020-building,"Laura Biester, Carmen Banea, and Rada Mihalcea. 2020. Building Location Embeddings from Physical Trajectories and Textual Representations. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, pages 425–434, Suzhou, China. Association for Computational Linguistics."
chsims_a_chinese_multimodal_sentiment_analysis_dataset_with_finegrained_annotation_of_modality,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ibm_research_at_the_conll_2018_shared_task_on_multilingual_parsing,October,2018.0,CoNLL,https://aclanthology.org/K18-2009,wan-etal-2018-ibm,"Hui Wan, Tahira Naseem, Young-Suk Lee, Vittorio Castelli, and Miguel Ballesteros. 2018. IBM Research at the CoNLL 2018 Shared Task on Multilingual Parsing. In Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 92–102, Brussels, Belgium. Association for Computational Linguistics."
a_dataset_for_linguistic_understanding_visual_evaluation_and_recognition_of_sign_languages_the_krsl,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_clustering_approach_for_nearly_unsupervised_recognition_of_nonliteral_language,April,2006.0,EACL,https://aclanthology.org/E06-1042,birke-sarkar-2006-clustering,"Julia Birke and Anoop Sarkar. 2006. A Clustering Approach for Nearly Unsupervised Recognition of Nonliteral Language. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 329–336, Trento, Italy. Association for Computational Linguistics."
ctc_alignments_improve_autoregressive_translation,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.119,yan-etal-2023-ctc,"Brian Yan, Siddharth Dalmia, Yosuke Higuchi, Graham Neubig, Florian Metze, Alan W Black, and Shinji Watanabe. 2023. CTC Alignments Improve Autoregressive Translation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1623–1639, Dubrovnik, Croatia. Association for Computational Linguistics."
the_effectiveness_of_morphologyaware_segmentation_in_lowresource_neural_machine_translation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-srw.22,saleva-lignos-2021-effectiveness,"Jonne Saleva and Constantine Lignos. 2021. The Effectiveness of Morphology-aware Segmentation in Low-Resource Neural Machine Translation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 164–174, Online. Association for Computational Linguistics."
sentence_movers_similarity_automatic_evaluation_for_multisentence_texts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
does_named_entity_recognition_truly_not_scale_up_to_realworld_product_attribute_extraction,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.16,chen-etal-2023-named,"Wei-Te Chen, Keiji Shinzato, Naoki Yoshinaga, and Yandi Xia. 2023. Does Named Entity Recognition Truly Not Scale Up to Real-world Product Attribute Extraction?. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 152–159, Singapore. Association for Computational Linguistics."
recap_retrievalenhanced_contextaware_prefix_encoder_for_personalized_dialogue_response_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
representing_schema_structure_with_graph_neural_networks_for_texttosql_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_unsupervised_recognition_of_tokenlevel_semantic_differences_in_related_documents,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.835,vamvas-sennrich-2023-towards,"Jannis Vamvas and Rico Sennrich. 2023. Towards Unsupervised Recognition of Token-level Semantic Differences in Related Documents. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13543–13552, Singapore. Association for Computational Linguistics."
chemuref_a_corpus_for_modeling_anaphora_resolution_in_the_chemical_domain,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.116,fang-etal-2021-chemu,"Biaoyan Fang, Christian Druckenbrodt, Saber A Akhondi, Jiayuan He, Timothy Baldwin, and Karin Verspoor. 2021. ChEMU-Ref: A Corpus for Modeling Anaphora Resolution in the Chemical Domain. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1362–1375, Online. Association for Computational Linguistics."
recognizing_textual_parallelisms_with_edit_distance_and_similarity_degree,April,2006.0,EACL,https://aclanthology.org/E06-1036,guegan-hernandez-2006-recognizing,"Marie Guégan and Nicolas Hernandez. 2006. Recognizing Textual Parallelisms with Edit Distance and Similarity Degree. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 281–288, Trento, Italy. Association for Computational Linguistics."
diversifying_dialog_generation_via_adaptive_label_smoothing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
faithful_knowledge_graph_explanations_in_commonsense_question_answering,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.743,aglionby-teufel-2022-faithful,"Guy Aglionby and Simone Teufel. 2022. Faithful Knowledge Graph Explanations in Commonsense Question Answering. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10811–10817, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
generating_scientific_claims_for_zeroshot_scientific_fact_checking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tangled_up_in_bleu_reevaluating_the_evaluation_of_automatic_machine_translation_evaluation_metrics,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
incorporating_hierarchy_into_text_encoder_a_contrastive_learning_approach_for_hierarchical_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ultrafine_entity_typing_with_weak_supervision_from_a_masked_language_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploiting_full_parsing_information_to_label_semantic_roles_using_an_ensemble_of_me_and_svm_via_integer_linear_programming,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
midas_a_dialog_act_annotation_scheme_for_open_domain_humanmachine_spoken_conversations,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.94,yu-yu-2021-midas,"Dian Yu and Zhou Yu. 2021. MIDAS: A Dialog Act Annotation Scheme for Open Domain HumanMachine Spoken Conversations. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1103–1120, Online. Association for Computational Linguistics."
vittts_visual_texttospeech_with_scalable_diffusion_transformer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
shotgunwsd_an_unsupervised_algorithm_for_global_word_sense_disambiguation_inspired_by_dna_sequencing,April,2017.0,EACL,https://aclanthology.org/E17-1086,butnaru-etal-2017-shotgunwsd,"Andrei Butnaru, Radu Tudor Ionescu, and Florentina Hristea. 2017. ShotgunWSD: An unsupervised algorithm for global word sense disambiguation inspired by DNA sequencing. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 916–926, Valencia, Spain. Association for Computational Linguistics."
sentencelevel_privacy_for_document_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
increasing_robustness_to_spurious_correlations_using_forgettable_examples,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.291,yaghoobzadeh-etal-2021-increasing,"Yadollah Yaghoobzadeh, Soroush Mehri, Remi Tachet des Combes, T. J. Hazen, and Alessandro Sordoni. 2021. Increasing Robustness to Spurious Correlations using Forgettable Examples. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3319–3332, Online. Association for Computational Linguistics."
sequence_classification_with_human_attention,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unite_unified_translation_evaluation,May,2022.0,ACL,https://aclanthology.org/2022.acl-long.558,wan-etal-2022-unite,"Yu Wan, Dayiheng Liu, Baosong Yang, Haibo Zhang, Boxing Chen, Derek Wong, and Lidia Chao. 2022. UniTE: Unified Translation Evaluation. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 8117–8127, Dublin, Ireland. Association for Computational Linguistics."
dialcot_meets_ppo_decomposing_and_exploring_reasoning_paths_in_smaller_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_compositional_generalization_in_code_search,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.737,han-etal-2022-towards,"Hojae Han, Seung-won Hwang, Shuai Lu, Nan Duan, and Seungtaek Choi. 2022. Towards Compositional Generalization in Code Search. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10743–10750, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
exclusive_hierarchical_decoding_for_deep_keyphrase_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
annotation_projectionbased_representation_learning_for_crosslingual_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
meaeq_mount_model_extraction_attacks_with_efficient_queries,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
one2set_generating_diverse_keyphrases_as_a_set,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_intercharacter_relationshipdriven_story_generation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.613,vijjini-etal-2022-towards,"Anvesh Rao Vijjini, Faeze Brahman, and Snigdha Chaturvedi. 2022. Towards Inter-character Relationship-driven Story Generation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8970–8987, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
erica_improving_entity_and_relation_understanding_for_pretrained_language_models_via_contrastive_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crosslingual_transfer_for_unsupervised_dependency_parsing_without_parallel_data,July,2015.0,CoNLL,https://aclanthology.org/K15-1012,duong-etal-2015-cross,"Long Duong, Trevor Cohn, Steven Bird, and Paul Cook. 2015. Cross-lingual Transfer for Unsupervised Dependency Parsing Without Parallel Data. In Proceedings of the Nineteenth Conference on Computational Natural Language Learning, pages 113–122, Beijing, China. Association for Computational Linguistics."
empowering_active_learning_to_jointly_optimize_system_and_user_demands,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crossdomain_sentiment_classification_with_target_domain_specific_information,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_machine_translation_with_synchronous_latent_phrase_structure,August,2021.0,,https://aclanthology.org/2021.acl-srw.33,harada-watanabe-2021-neural,"Shintaro Harada and Taro Watanabe. 2021. Neural Machine Translation with Synchronous Latent Phrase Structure. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop, pages 321–330, Online. Association for Computational Linguistics."
hidden_killer_invisible_textual_backdoor_attacks_with_syntactic_trigger,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multitoolcot_gpt3_can_use_multiple_external_tools_with_chain_of_thought_prompting,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
logicalfactchecker_leveraging_logical_operations_for_fact_checking_with_graph_module_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bestk_search_algorithm_for_neural_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
connective_prediction_for_implicit_discourse_relation_recognition_via_knowledge_distillation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_execute_instructions_in_a_minecraft_dialogue,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bertgen_multitask_generation_through_bert,August,2021.0,,https://aclanthology.org/2021.acl-long.503,mitzalis-etal-2021-bertgen,"Faidon Mitzalis, Ozan Caglayan, Pranava Madhyastha, and Lucia Specia. 2021. BERTGen: Multi-task Generation through BERT. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 6440–6455, Online. Association for Computational Linguistics."
opportunities_and_challenges_in_neural_dialog_tutoring,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.173,macina-etal-2023-opportunities,"Jakub Macina, Nico Daheim, Lingzhi Wang, Tanmay Sinha, Manu Kapur, Iryna Gurevych, and Mrinmaya Sachan. 2023. Opportunities and Challenges in Neural Dialog Tutoring. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2357–2372, Dubrovnik, Croatia. Association for Computational Linguistics."
treebank_translation_for_crosslingual_parser_induction,June,2014.0,CoNLL,https://aclanthology.org/W14-1614,tiedemann-etal-2014-treebank,"Jörg Tiedemann, Željko Agić, and Joakim Nivre. 2014. Treebank Translation for Cross-Lingual Parser Induction. In Proceedings of the Eighteenth Conference on Computational Natural Language Learning, pages 130–140, Ann Arbor, Michigan. Association for Computational Linguistics."
persona_expansion_with_commonsense_knowledge_for_diverse_and_consistent_response_generation,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.81,kim-etal-2023-persona,"Donghyun Kim, Youbin Ahn, Wongyu Kim, Chanhee Lee, Kyungchan Lee, Kyong-Ho Lee, Jeonguk Kim, Donghoon Shin, and Yeonsoo Lee. 2023. Persona Expansion with Commonsense Knowledge for Diverse and Consistent Response Generation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1139–1149, Dubrovnik, Croatia. Association for Computational Linguistics."
a_simple_and_effective_approach_to_automatic_postediting_with_transfer_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
phone_features_improve_speech_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lexsym_compositionality_as_lexical_symmetry,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
heterogeneous_graph_transformer_for_graphtosequence_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
using_semantic_similarity_as_reward_for_reinforcement_learning_in_sentence_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hallucination_mitigation_in_natural_language_generation_from_largescale_opendomain_knowledge_graphs,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.770,shi-etal-2023-hallucination,"Xiao Shi, Zhengyuan Zhu, Zeyu Zhang, and Chengkai Li. 2023. Hallucination Mitigation in Natural Language Generation from Large-Scale Open-Domain Knowledge Graphs. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12506–12521, Singapore. Association for Computational Linguistics."
mammoth_massively_multilingual_modular_open_translation__helsinki,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
helping_a_friend_or_supporting_a_cause_disentangling_active_and_passive_cosponsorship_in_the_us_congress,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
contrastive_learningenhanced_nearest_neighbor_mechanism_for_multilabel_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
word_lattices_for_multisource_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
caseencoder_a_knowledgeenhanced_pretrained_model_for_legal_case_encoding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_multilingual_sentence_representations_with_crosslingual_consistency_regularization,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.25,gao-etal-2023-learning-multilingual,"Pengzhi Gao, Liwen Zhang, Zhongjun He, Hua Wu, and Haifeng Wang. 2023. Learning Multilingual Sentence Representations with Cross-lingual Consistency Regularization. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 243–262, Singapore. Association for Computational Linguistics."
is_hot_pizza_positive_or_negative_mining_targetaware_sentiment_lexicons,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.49,zhou-etal-2021-hot,"Jie Zhou, Yuanbin Wu, Changzhi Sun, and Liang He. 2021. Is “hot pizza” Positive or Negative? Mining Target-aware Sentiment Lexicons. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 608–618, Online. Association for Computational Linguistics."
focus_your_attention_with_adaptive_iir_filters,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.772,lutati-etal-2023-focus,"Shahar Lutati, Itamar Zimerman, and Lior Wolf. 2023. Focus Your Attention (with Adaptive IIR Filters). In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12538–12549, Singapore. Association for Computational Linguistics."
effectively_aligning_and_filtering_parallel_corpora_under_sparse_data_conditions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sparc_crossdomain_semantic_parsing_in_context,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_framebased_sentence_representation_for_machine_reading_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
resolving_speculation_maxent_cue_classification_and_dependencybased_scope_rules,July,2010.0,CoNLL,https://aclanthology.org/W10-3007,velldal-etal-2010-resolving,"Erik Velldal, Lilja Øvrelid, and Stephan Oepen. 2010. Resolving Speculation: MaxEnt Cue Classification and Dependency-Based Scope Rules. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task, pages 48–55, Uppsala, Sweden. Association for Computational Linguistics."
prompterator_iterate_efficiently_towards_more_effective_prompts,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-demo.43,sucik-etal-2023-prompterator,"Samuel Sučik, Daniel Skala, Andrej Švec, Peter Hraška, and Marek Šuppa. 2023. Prompterator: Iterate Efficiently towards More Effective Prompts. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 471–478, Singapore. Association for Computational Linguistics."
enhancing_pretrained_chinese_character_representation_with_wordaligned_attention,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
scientific_credibility_of_machine_translation_research_a_metaevaluation_of_769_papers,August,2021.0,,https://aclanthology.org/2021.acl-long.566,marie-etal-2021-scientific,"Benjamin Marie, Atsushi Fujita, and Raphael Rubino. 2021. Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 7297–7306, Online. Association for Computational Linguistics."
pillow_enhancing_efficient_instruction_finetuning_via_prompt_matching,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.45,qi-etal-2023-pillow,"Zhenting Qi, Xiaoyu Tan, Shaojie Shi, Chao Qu, Yinghui Xu, and Yuan Qi. 2023. PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 471–482, Singapore. Association for Computational Linguistics."
structgpt_a_general_framework_for_large_language_model_to_reason_over_structured_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
endtoend_neural_context_reconstruction_in_chinese_dialogue,August,2019.0,ACL,https://aclanthology.org/W19-4108,yang-etal-2019-end-end-neural,"Wei Yang, Rui Qiao, Haocheng Qin, Amy Sun, Luchen Tan, Kun Xiong, and Ming Li. 2019. End-to-End Neural Context Reconstruction in Chinese Dialogue. In Proceedings of the First Workshop on NLP for Conversational AI, pages 68–76, Florence, Italy. Association for Computational Linguistics."
speechmatrix_a_largescale_mined_corpus_of_multilingual_speechtospeech_translations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tagged_backtranslation_revisited_why_does_it_really_work,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
decoupling_pseudo_label_disambiguation_and_representation_learning_for_generalized_intent_discovery,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
does_joint_training_really_help_cascaded_speech_translation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.297,tran-etal-2022-joint,"Viet Anh Khoa Tran, David Thulke, Yingbo Gao, Christian Herold, and Hermann Ney. 2022. Does Joint Training Really Help Cascaded Speech Translation?. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4480–4487, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
leveraging_implicit_feedback_from_deployment_data_in_dialogue,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_temporal_opinion_modelling_for_opinion_prediction_on_twitter,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatically_constructing_a_lexicon_of_verb_phrase_idiomatic_combinations,April,2006.0,EACL,https://aclanthology.org/E06-1,UNKNOWN_BIBKEY,N/A
rewardaugmented_decoding_efficient_controlled_text_generation_with_a_unidirectional_reward_model,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.721,deng-raffel-2023-reward,"Haikang Deng and Colin Raffel. 2023. Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11781–11791, Singapore. Association for Computational Linguistics."
discoursecentric_evaluation_of_documentlevel_machine_translation_with_a_new_densely_annotated_parallel_corpus_of_novels,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
entailment_as_robust_selflearner,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_corpus_with_multilevel_annotations_of_patients_interventions_and_outcomes_to_support_language_processing_for_medical_literature,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
joint_effects_of_context_and_user_history_for_predicting_online_conversation_reentries,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lait_efficient_multisegment_encoding_in_transformers_with_layeradjustable_interaction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ramp_retrieval_and_attributemarking_enhanced_prompting_for_attributecontrolled_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
camembert_a_tasty_french_language_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
humans_and_language_models_diverge_when_predicting_repeating_text,December,2023.0,CoNLL,https://aclanthology.org/2023.conll-1.5,vaidya-etal-2023-humans,"Aditya Vaidya, Javier Turek, and Alexander Huth. 2023. Humans and language models diverge when predicting repeating text. In Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL), pages 58–69, Singapore. Association for Computational Linguistics."
global_transitionbased_nonprojective_dependency_parsing,July,2018.0,ACL,https://aclanthology.org/P18-1248,gomez-rodriguez-etal-2018-global,"Carlos Gómez-Rodríguez, Tianze Shi, and Lillian Lee. 2018. Global Transition-based Non-projective Dependency Parsing. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2664–2675, Melbourne, Australia. Association for Computational Linguistics."
pyramidbert_reducing_complexity_via_successive_coreset_based_token_selection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rade_referenceassisted_dialogue_evaluation_for_opendomain_dialogue,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_static_evaluation_of_code_completion_by_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multimodal_event_transformer_for_imageguided_story_ending_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
xdailydialog_a_multilingual_parallel_dialogue_corpus,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_multidocument_coverage_reward_for_relaxed_multidocument_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
salience_allocation_as_guidance_for_abstractive_summarization,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.409,wang-etal-2022-salience,"Fei Wang, Kaiqiang Song, Hongming Zhang, Lifeng Jin, Sangwoo Cho, Wenlin Yao, Xiaoyang Wang, Muhao Chen, and Dong Yu. 2022. Salience Allocation as Guidance for Abstractive Summarization. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6094–6106, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
docinfer_documentlevel_natural_language_inference_using_optimal_evidence_selection,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.51,mathur-etal-2022-docinfer,"Puneet Mathur, Gautam Kunapuli, Riyaz Bhat, Manish Shrivastava, Dinesh Manocha, and Maneesh Singh. 2022. DocInfer: Document-level Natural Language Inference using Optimal Evidence Selection. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 809–824, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
mind_the_tradeoff_debiasing_nlu_models_without_degrading_the_indistribution_performance,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bias_analysis_and_mitigation_in_the_evaluation_of_authorship_verification,July,2019.0,ACL,https://aclanthology.org/P19-1634,bevendorff-etal-2019-bias,"Janek Bevendorff, Matthias Hagen, Benno Stein, and Martin Potthast. 2019. Bias Analysis and Mitigation in the Evaluation of Authorship Verification. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 6301–6306, Florence, Italy. Association for Computational Linguistics."
paraamr_a_largescale_syntactically_diverse_paraphrase_dataset_by_amr_backtranslation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
watsl_a_customizable_web_annotation_tool_for_segment_labeling,April,2017.0,EACL,https://aclanthology.org/E17-3004,kiesel-etal-2017-wat,"Johannes Kiesel, Henning Wachsmuth, Khalid Al-Khatib, and Benno Stein. 2017. WAT-SL: A Customizable Web Annotation Tool for Segment Labeling. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 13–16, Valencia, Spain. Association for Computational Linguistics."
dont_retrain_just_rewrite_countering_adversarial_perturbations_by_rewriting_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_best_of_both_worlds__a_graphbased_completion_model_for_transitionbased_parsers,April,2012.0,EACL,https://aclanthology.org/E12-1009,bohnet-kuhn-2012-best,"Bernd Bohnet and Jonas Kuhn. 2012. The Best of Both Worlds – A Graph-based Completion Model for Transition-based Parsers. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 77–87, Avignon, France. Association for Computational Linguistics."
lexical_normalization_for_codeswitched_data_and_its_effect_on_pos_tagging,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.200,van-der-goot-cetinoglu-2021-lexical,"Rob van der Goot and Özlem Çetinoğlu. 2021. Lexical Normalization for Code-switched Data and its Effect on POS Tagging. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2352–2365, Online. Association for Computational Linguistics."
re3dial_retrieve_reorganize_and_rescale_conversations_for_longturn_opendomain_dialogue_pretraining,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.612,wen-etal-2023-re3dial,"Jiaxin Wen, Hao Zhou, Jian Guan, Jie Zhou, and Minlie Huang. 2023. Re3Dial: Retrieve, Reorganize and Rescale Conversations for Long-Turn Open-Domain Dialogue Pre-training. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 9878–9894, Singapore. Association for Computational Linguistics."
improving_personalized_explanation_generation_through_visualization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
swan__scientific_writing_assistant_a_tool_for_helping_scholars_to_write_readerfriendly_manuscripts,April,2012.0,EACL,https://aclanthology.org/E12-2005,kinnunen-etal-2012-swan,"Tomi Kinnunen, Henri Leisma, Monika Machunik, Tuomo Kakkonen, and Jean-Luc LeBrun. 2012. SWAN - Scientific Writing AssistaNt. A Tool for Helping Scholars to Write Reader-Friendly Manuscripts. In Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 20–24, Avignon, France. Association for Computational Linguistics."
probing_the_robustness_of_trained_metrics_for_conversational_dialogue_systems,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.85,deriu-etal-2022-probing,"Jan Deriu, Don Tuggener, Pius Von Däniken, and Mark Cieliebak. 2022. Probing the Robustness of Trained Metrics for Conversational Dialogue Systems. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 750–761, Dublin, Ireland. Association for Computational Linguistics."
semanticaware_dynamic_retrospectiveprospective_reasoning_for_eventlevel_video_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multiagent_taskoriented_dialog_policy_learning_with_roleaware_reward_decomposition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
realtime_spoken_language_translation_using_associative_processors,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
aligned_dual_channel_graph_convolutional_network_for_visual_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
conclusionbased_counterargument_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
interpreting_attention_models_with_human_visual_attention_in_machine_reading_comprehension,November,2020.0,CoNLL,https://aclanthology.org/2020.conll-1.2,sood-etal-2020-interpreting,"Ekta Sood, Simon Tannert, Diego Frassinelli, Andreas Bulling, and Ngoc Thang Vu. 2020. Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension. In Proceedings of the 24th Conference on Computational Natural Language Learning, pages 12–25, Online. Association for Computational Linguistics."
unlearn_what_you_want_to_forget_efficient_unlearning_for_llms,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.738,chen-yang-2023-unlearn,"Jiaao Chen and Diyi Yang. 2023. Unlearn What You Want to Forget: Efficient Unlearning for LLMs. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12041–12052, Singapore. Association for Computational Linguistics."
supervised_graphemetophoneme_conversion_of_orthographic_schwas_in_hindi_and_punjabi,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
labelaware_multilevel_contrastive_learning_for_crosslingual_spoken_language_understanding,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.673,liang-etal-2022-label,"Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Xianglin Zuo, and Daxin Jiang. 2022. Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9903–9918, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
making_pretrained_language_models_good_longtailed_learners,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multimodal_transformer_for_unaligned_multimodal_language_sequences,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
interpolated_spectral_ngram_language_models,July,2019.0,ACL,https://aclanthology.org/P19-1594,quattoni-carreras-2019-interpolated,"Ariadna Quattoni and Xavier Carreras. 2019. Interpolated Spectral NGram Language Models. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 5926–5930, Florence, Italy. Association for Computational Linguistics."
generating_finegrained_open_vocabulary_entity_type_descriptions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rethinking_the_role_of_demonstrations_what_makes_incontext_learning_work,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_calibration_of_massively_multilingual_language_models,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.290,ahuja-etal-2022-calibration,"Kabir Ahuja, Sunayana Sitaram, Sandipan Dandapat, and Monojit Choudhury. 2022. On the Calibration of Massively Multilingual Language Models. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4310–4323, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
finding_the_pillars_of_strength_for_multihead_attention,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_finegrained_comparison_of_pragmatic_language_understanding_in_humans_and_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dialogpt__largescale_generative_pretraining_for_conversational_response_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_temporal_generalization_of_pretrained_language_models_with_lexical_semantic_change,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.428,su-etal-2022-improving,"Zhaochen Su, Zecheng Tang, Xinyan Guan, Lijun Wu, Min Zhang, and Juntao Li. 2022. Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6380–6393, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
multiview_crosslingual_structured_prediction_with_minimum_supervision,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
what_action_causes_this_towards_naive_physical_actioneffect_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_selftraining_method_for_machine_reading_comprehension_with_soft_evidence_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_machine_translation_closing_the_gap_between_shared_and_languagespecific_encoderdecoders,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.80,escolano-etal-2021-multilingual,"Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa, and Mikel Artetxe. 2021. Multilingual Machine Translation: Closing the Gap between Shared and Language-specific Encoder-Decoders. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 944–948, Online. Association for Computational Linguistics."
entityaware_dependencybased_deep_graph_attention_network_for_comparative_preference_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
prompt_for_extraction_paie_prompting_argument_interaction_for_event_argument_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
inferring_rewards_from_language_in_context,May,2022.0,ACL,https://aclanthology.org/2022.acl-long.585,lin-etal-2022-inferring,"Jessy Lin, Daniel Fried, Dan Klein, and Anca Dragan. 2022. Inferring Rewards from Language in Context. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 8546–8560, Dublin, Ireland. Association for Computational Linguistics."
wont_get_fooled_again_answering_questions_with_false_premises,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
subsequence_based_deep_active_learning_for_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
graphenriched_biomedical_language_models_a_research_proposal,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modeling_context_in_answer_sentence_selection_systems_on_a_latency_budget,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.261,han-etal-2021-modeling,"Rujun Han, Luca Soldaini, and Alessandro Moschitti. 2021. Modeling Context in Answer Sentence Selection Systems on a Latency Budget. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3005–3010, Online. Association for Computational Linguistics."
storyer_automatic_story_evaluation_via_ranking_rating_and_reasoning,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.114,chen-etal-2022-storyer,"Hong Chen, Duc Vo, Hiroya Takamura, Yusuke Miyao, and Hideki Nakayama. 2022. StoryER: Automatic Story Evaluation via Ranking, Rating and Reasoning. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1739–1753, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
dont_get_too_technical_with_me_a_discourse_structurebased_framework_for_automatic_science_journalism,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
treestructured_topic_modeling_with_nonparametric_neural_variational_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
to_pos_tag_or_not_to_pos_tag_the_impact_of_pos_tags_on_morphological_learning_in_lowresource_settings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
explicit_retrofitting_of_distributional_word_vectors,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crosstarget_stance_classification_with_selfattention_networks,July,2018.0,ACL,https://aclanthology.org/P18-2123,xu-etal-2018-cross,"Chang Xu, Cécile Paris, Surya Nepal, and Ross Sparks. 2018. Cross-Target Stance Classification with Self-Attention Networks. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 778–783, Melbourne, Australia. Association for Computational Linguistics."
krater_reliability_the_correct_unit_of_reliability_for_aggregated_human_annotations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
this_patient_looks_like_that_patient_prototypical_networks_for_interpretable_diagnosis_prediction_from_clinical_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
chainofskills_a_configurable_model_for_opendomain_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dynamic_benchmarking_of_masked_language_models_on_temporal_concept_drift_with_multiple_views,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.211,margatina-etal-2023-dynamic,"Katerina Margatina, Shuai Wang, Yogarshi Vyas, Neha Anna John, Yassine Benajiba, and Miguel Ballesteros. 2023. Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2881–2898, Dubrovnik, Croatia. Association for Computational Linguistics."
modeling_whattoask_and_howtoask_for_answerunaware_conversational_question_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multivqg_generating_engaging_questions_for_multiple_images,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
talk_to_papers_bringing_neural_question_answering_to_academic_search,July,2020.0,ACL,https://aclanthology.org/2020.acl-demos.5,zhao-lee-2020-talk,"Tiancheng Zhao and Kyusong Lee. 2020. Talk to Papers: Bringing Neural Question Answering to Academic Search. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 30–36, Online. Association for Computational Linguistics."
diversify_question_generation_with_retrievalaugmented_style_transfer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
etherapist_i_suggest_you_to_cultivate_a_mindset_of_positivity_and_nurture_uplifting_thoughts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_modelagnostic_data_manipulation_method_for_personabased_dialogue_generation,May,2022.0,ACL,https://aclanthology.org/2022.acl-long.550,cao-etal-2022-model,"Yu Cao, Wei Bi, Meng Fang, Shuming Shi, and Dacheng Tao. 2022. A Model-agnostic Data Manipulation Method for Persona-based Dialogue Generation. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 7984–8002, Dublin, Ireland. Association for Computational Linguistics."
discourse_relation_sense_classification_with_twostep_classifiers,August,2016.0,CoNLL,https://aclanthology.org/K16-2018,kido-aizawa-2016-discourse,"Yusuke Kido and Akiko Aizawa. 2016. Discourse Relation Sense Classification with Two-Step Classifiers. In Proceedings of the CoNLL-16 shared task, pages 129–135, Berlin, Germany. Association for Computational Linguistics."
acquiring_knowledge_from_the_web_to_be_used_as_selectors_for_noun_sense_disambiguation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
predicting_finetuning_performance_with_probing,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.793,zhu-etal-2022-predicting,"Zining Zhu, Soroosh Shahtalebi, and Frank Rudzicz. 2022. Predicting Fine-Tuning Performance with Probing. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11534–11547, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
easyquant_an_efficient_datafree_quantization_algorithm_for_llms,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
futuretod_teaching_future_knowledge_to_pretrained_language_model_for_taskoriented_dialogue,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_semisupervised_batchmode_active_learning_strategy_for_improved_statistical_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cqg_a_simple_and_effective_controlled_generation_framework_for_multihop_question_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multitask_learning_for_coherence_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
vlntrans_translator_for_the_vision_and_language_navigation_agent,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
recycling_terms_into_a_partial_parser,October,1994.0,ANLP,https://aclanthology.org/A94-1019,jacquemin-1994-recycling,"Christian Jacquemin. 1994. Recycling Terms into a Partial Parser. In Fourth Conference on Applied Natural Language Processing, pages 113–118, Stuttgart, Germany. Association for Computational Linguistics."
a_tool_for_automated_revision_of_grammars_for_nlp_systems,April,2000.0,,https://aclanthology.org/A00-1029,kambhatla-zadrozny-2000-tool,"Nanda Kambhatla and Wlodek Zadrozny. 2000. A Tool for Automated Revision of Grammars for NLP Systems. In Sixth Applied Natural Language Processing Conference, pages 210–217, Seattle, Washington, USA. Association for Computational Linguistics."
lingualinked_distributed_large_language_model_inference_on_mobile_devices,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
measuring_topic_coherence_through_optimal_word_buckets,April,2017.0,EACL,https://aclanthology.org/E17-2070,ramrakhiyani-etal-2017-measuring,"Nitin Ramrakhiyani, Sachin Pawar, Swapnil Hingmire, and Girish Palshikar. 2017. Measuring Topic Coherence through Optimal Word Buckets. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 437–442, Valencia, Spain. Association for Computational Linguistics."
one_network_many_masks_towards_more_parameterefficient_transfer_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bidirectional_generative_adversarial_networks_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_language_models_by_clustering_training_sentences,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
topwordspoetry_simultaneous_text_segmentation_and_word_discovery_for_classical_chinese_poetry_via_bayesian_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
jiuge_a_humanmachine_collaborative_chinese_classical_poetry_generation_system,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
greener_graph_neural_networks_for_news_media_profiling,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.506,panayotov-etal-2022-greener,"Panayot Panayotov, Utsav Shukla, Husrev Taha Sencar, Mohamed Nabeel, and Preslav Nakov. 2022. GREENER: Graph Neural Networks for News Media Profiling. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7470–7480, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
multichannel_graph_neural_network_for_entity_alignment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
synthetic_question_value_estimation_for_domain_adaptation_of_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_parrot_dilemma_humanlabeled_vs_llmaugmented_data_in_classification_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
attributable_and_scalable_opinion_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
threat_behavior_textual_search_by_attention_graph_isomorphism,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.160,bae-etal-2024-threat,"Chanwoo Bae, Guanhong Tao, Zhuo Zhang, and Xiangyu Zhang. 2024. Threat Behavior Textual Search by Attention Graph Isomorphism. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2616–2630, St. Julian’s, Malta. Association for Computational Linguistics."
a_siamese_cnn_architecture_for_learning_chinese_sentence_similarity,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
robust_nonexplicit_neural_discourse_parser_in_english_and_chinese,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dynamic_programming_encoding_for_subword_segmentation_in_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cgodial_a_largescale_benchmark_for_chinese_goaloriented_dialog_evaluation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.274,dai-etal-2022-cgodial,"Yinpei Dai, Wanwei He, Bowen Li, Yuchuan Wu, Zheng Cao, Zhongqi An, Jian Sun, and Yongbin Li. 2022. CGoDial: A Large-Scale Benchmark for Chinese Goal-oriented Dialog Evaluation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4097–4111, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
bayesian_word_alignment_for_massively_parallel_texts,April,2014.0,EACL,https://aclanthology.org/E14-4024,ostling-2014-bayesian,"Robert Östling. 2014. Bayesian Word Alignment for Massively Parallel Texts. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 123–127, Gothenburg, Sweden. Association for Computational Linguistics."
does_language_help_generalization_in_vision_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
treestack_lstm_in_transition_based_dependency_parsing,October,2018.0,CoNLL,https://aclanthology.org/K18-2012,kirnap-etal-2018-tree,"Ömer Kırnap, Erenay Dayanık, and Deniz Yuret. 2018. Tree-Stack LSTM in Transition Based Dependency Parsing. In Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 124–132, Brussels, Belgium. Association for Computational Linguistics."
improving_neural_machine_translation_by_achieving_knowledge_transfer_with_sentence_alignment_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
text2topic_multilabel_text_classification_system_for_efficient_topic_detection_in_user_generated_content_with_zeroshot_capabilities,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.10,wang-etal-2023-text2topic,"Fengjun Wang, Moran Beladev, Ofri Kleinfeld, Elina Frayerman, Tal Shachar, Eran Fainman, Karen Lastmann Assaraf, Sarai Mizrachi, and Benjamin Wang. 2023. Text2Topic: Multi-Label Text Classification System for Efficient Topic Detection in User Generated Content with Zero-Shot Capabilities. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 93–103, Singapore. Association for Computational Linguistics."
requirements_and_motivations_of_lowresource_speech_synthesis_for_language_revitalization,May,2022.0,ACL,https://aclanthology.org/2022.acl-long.507,pine-etal-2022-requirements,"Aidan Pine, Dan Wells, Nathan Brinklow, Patrick Littell, and Korin Richmond. 2022. Requirements and Motivations of Low-Resource Speech Synthesis for Language Revitalization. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 7346–7359, Dublin, Ireland. Association for Computational Linguistics."
a_psycholinguistic_analysis_of_berts_representations_of_compounds,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
voltage_a_versatile_contrastive_learning_based_ocr_methodology_for_ultra_lowresource_scripts_through_auto_glyph_feature_extraction,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.53,sharma-etal-2024-voltage,"Prawaal Sharma, Poonam Goyal, Vidisha Sharma, and Navneet Goyal. 2024. VOLTAGE: A Versatile Contrastive Learning based OCR Methodology for ultra low-resource scripts through Auto Glyph Feature Extraction. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 881–899, St. Julian’s, Malta. Association for Computational Linguistics."
a_purely_endtoend_system_for_multispeaker_speech_recognition,July,2018.0,ACL,https://aclanthology.org/P18-1244,seki-etal-2018-purely,"Hiroshi Seki, Takaaki Hori, Shinji Watanabe, Jonathan Le Roux, and John R. Hershey. 2018. A Purely End-to-End System for Multi-speaker Speech Recognition. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2620–2630, Melbourne, Australia. Association for Computational Linguistics."
mcqueen_a_benchmark_for_multimodal_conversational_query_rewrite,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
contrastive_videolanguage_learning_with_finegrained_frame_sampling,November,2022.0,,https://aclanthology.org/2022.aacl-main.53,wang-etal-2022-contrastive-video,"Zixu Wang, Yujie Zhong, Yishu Miao, Lin Ma, and Lucia Specia. 2022. Contrastive Video-Language Learning with Fine-grained Frame Sampling. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 694–705, Online only. Association for Computational Linguistics."
word_recognition_competition_and_activation_in_a_model_of_visually_grounded_speech,November,2019.0,CoNLL,https://aclanthology.org/K19-1032,havard-etal-2019-word,"William N. Havard, Jean-Pierre Chevrot, and Laurent Besacier. 2019. Word Recognition, Competition, and Activation in a Model of Visually Grounded Speech. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 339–348, Hong Kong, China. Association for Computational Linguistics."
learning_to_generate_product_reviews_from_attributes,April,2017.0,EACL,https://aclanthology.org/E17-1059,dong-etal-2017-learning-generate,"Li Dong, Shaohan Huang, Furu Wei, Mirella Lapata, Ming Zhou, and Ke Xu. 2017. Learning to Generate Product Reviews from Attributes. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 623–632, Valencia, Spain. Association for Computational Linguistics."
unsupervised_learning_of_word_sense_disambiguation_rules_by_estimating_an_optimum_iteration_number_in_the_em_algorithm,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
transfer_capsule_network_for_aspect_level_sentiment_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cdd_a_large_scale_dataset_for_legal_intelligence_research,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.7,ji-etal-2023-cdd,"Changzhen Ji, Yating Zhang, Adam Jatowt, and Haipang Wu. 2023. CDD: A Large Scale Dataset for Legal Intelligence Research. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 66–73, Singapore. Association for Computational Linguistics."
a_strong_and_robust_baseline_for_textimage_matching,July,2019.0,ACL,https://aclanthology.org/P19-2023,liu-ye-2019-strong,"Fangyu Liu and Rongtian Ye. 2019. A Strong and Robust Baseline for Text-Image Matching. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 169–176, Florence, Italy. Association for Computational Linguistics."
empirical_evaluations_of_animacy_annotation,March,2009.0,EACL,https://aclanthology.org/E09-1072,ovrelid-2009-empirical,"Lilja Øvrelid. 2009. Empirical Evaluations of Animacy Annotation. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 630–638, Athens, Greece. Association for Computational Linguistics."
data_augmentation_for_morphological_reinflection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
revisiting_crosslingual_summarization_a_corpusbased_study_and_a_new_benchmark_with_improved_annotation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
m3ed_multimodal_multiscene_multilabel_emotional_dialogue_database,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
avengr_attribute_value_extraction_and_normalization_using_product_graphs,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.14,ricatte-crisostomi-2023-aven,"Thomas Ricatte and Donato Crisostomi. 2023. AVEN-GR: Attribute Value Extraction and Normalization using product GRaphs. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 126–133, Toronto, Canada. Association for Computational Linguistics."
sut_active_defects_probing_for_transcompiler_models,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.866,qi-etal-2023-sut,"Mengnan Qi, Yufan Huang, Maoquan Wang, Yongqiang Yao, Zihan Liu, Bin Gu, Colin Clement, and Neel Sundaresan. 2023. SUT: Active Defects Probing for Transcompiler Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 14024–14034, Singapore. Association for Computational Linguistics."
modeling_deliberative_argumentation_strategies_on_wikipedia,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
parals_lexical_substitution_via_pretrained_paraphraser,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_minimal_approach_for_natural_language_action_space_in_textbased_games,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
intermediatetask_transfer_learning_with_pretrained_language_models_when_and_why_does_it_work,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_robustness_of_promptbased_semantic_parsing_with_large_pretrained_language_model_an_empirical_study_on_codex,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.77,zhuo-etal-2023-robustness,"Terry Yue Zhuo, Zhuang Li, Yujin Huang, Fatemeh Shiri, Weiqing Wang, Gholamreza Haffari, and Yuan-Fang Li. 2023. On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1090–1102, Dubrovnik, Croatia. Association for Computational Linguistics."
saliency_as_evidence_event_detection_with_trigger_saliency_attribution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crosslingual_transfer_learning_for_javanese_dependency_parsing,November,2023.0,,https://aclanthology.org/2023.ijcnlp-srw.1,ghiffari-etal-2023-cross,"Fadli Aulawi Al Ghiffari, Ika Alfina, and Kurniawati Azizah. 2023. Cross-lingual Transfer Learning for Javanese Dependency Parsing. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 1–9, Nusa Dua, Bali. Association for Computational Linguistics."
seq2seq_is_all_you_need_for_coreference_resolution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dungeons_and_dragons_as_a_dialog_challenge_for_artificial_intelligence,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
t2ner_transformers_based_transfer_learning_framework_for_named_entity_recognition,April,2021.0,EACL,https://aclanthology.org/2021.eacl-demos.25,amin-neumann-2021-t2ner,"Saadullah Amin and Guenter Neumann. 2021. T2NER: Transformers based Transfer Learning Framework for Named Entity Recognition. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 212–220, Online. Association for Computational Linguistics."
characterword_lstm_language_models,April,2017.0,EACL,https://aclanthology.org/E17-1040,verwimp-etal-2017-character,"Lyan Verwimp, Joris Pelemans, Hugo Van hamme, and Patrick Wambacq. 2017. Character-Word LSTM Language Models. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 417–427, Valencia, Spain. Association for Computational Linguistics."
towards_making_the_most_of_crosslingual_transfer_for_zeroshot_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
summarising_historical_text_in_modern_languages,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.273,peng-etal-2021-summarising,"Xutan Peng, Yi Zheng, Chenghua Lin, and Advaith Siddharthan. 2021. Summarising Historical Text in Modern Languages. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3123–3142, Online. Association for Computational Linguistics."
a_weakly_supervised_textual_entailment_approach_to_zeroshot_text_classification,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.22,pamies-etal-2023-weakly,"Marc Pàmies, Joan Llop, Francesco Multari, Nicolau Duran-Silva, César Parra-Rojas, Aitor Gonzalez-Agirre, Francesco Alessandro Massucci, and Marta Villegas. 2023. A weakly supervised textual entailment approach to zero-shot text classification. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 286–296, Dubrovnik, Croatia. Association for Computational Linguistics."
a_computational_analysis_of_the_language_of_drug_addiction,April,2017.0,EACL,https://aclanthology.org/E17-2022,strapparava-mihalcea-2017-computational,"Carlo Strapparava and Rada Mihalcea. 2017. A Computational Analysis of the Language of Drug Addiction. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 136–142, Valencia, Spain. Association for Computational Linguistics."
veco_variable_and_flexible_crosslingual_pretraining_for_language_understanding_and_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_importance_samplingbased_evaluation_of_latent_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unbiasing_review_ratings_with_tendency_based_collaborative_filtering,December,2020.0,AACL,https://aclanthology.org/2020.aacl-srw.8,yadav-etal-2020-unbiasing,"Pranshi Yadav, Priya Yadav, Pegah Nokhiz, and Vivek Gupta. 2020. Unbiasing Review Ratings with Tendency Based Collaborative Filtering. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: Student Research Workshop, pages 50–56, Suzhou, China. Association for Computational Linguistics."
learning_disentangled_textual_representations_via_statistical_measures_of_similarity,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tanntm_topic_attention_networks_for_neural_topic_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_comparison_of_strategies_for_sourcefree_domain_adaptation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dotat_a_domainoriented_text_annotation_tool,May,2022.0,ACL,https://aclanthology.org/2022.acl-demo.1,lin-etal-2022-dotat,"Yupian Lin, Tong Ruan, Ming Liang, Tingting Cai, Wen Du, and Yi Wang. 2022. DoTAT: A Domain-oriented Text Annotation Tool. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 1–8, Dublin, Ireland. Association for Computational Linguistics."
bib2vec_embeddingbased_search_system_for_bibliographic_information,April,2017.0,EACL,https://aclanthology.org/E17-3028,yoneda-etal-2017-bib2vec,"Takuma Yoneda, Koki Mori, Makoto Miwa, and Yutaka Sasaki. 2017. Bib2vec: Embedding-based Search System for Bibliographic Information. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 112–115, Valencia, Spain. Association for Computational Linguistics."
toward_a_critical_toponymy_framework_for_named_entity_recognition_a_case_study_of_airbnb_in_new_york_city,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
challenging_the_one_single_vector_per_token_assumption,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
are_neural_networks_extracting_linguistic_properties_or_memorizing_training_data_an_observation_with_a_multilingual_probe_for_predicting_tense,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.269,li-wisniewski-2021-neural,"Bingzhi Li and Guillaume Wisniewski. 2021. Are Neural Networks Extracting Linguistic Properties or Memorizing Training Data? An Observation with a Multilingual Probe for Predicting Tense. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3080–3089, Online. Association for Computational Linguistics."
theia_weakly_supervised_multimodal_event_extraction_from_incomplete_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
graphrel_modeling_text_as_relational_graphs_for_joint_entity_and_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
perturbed_masking_parameterfree_probing_for_analyzing_and_interpreting_bert,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
quotation_recommendation_and_interpretation_based_on_transformation_from_queries_to_quotations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
explainable_recommendation_with_personalized_review_retrieval_and_aspect_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
measuring_the_mixing_of_contextual_information_in_the_transformer,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.595,ferrando-etal-2022-measuring,"Javier Ferrando, Gerard I. Gállego, and Marta R. Costa-jussà. 2022. Measuring the Mixing of Contextual Information in the Transformer. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8698–8714, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
semimarkov_models_for_sequence_segmentation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_matching_models_with_weak_supervision_for_response_selection_in_retrievalbased_chatbots,July,2018.0,ACL,https://aclanthology.org/P18-2067,wu-etal-2018-learning,"Yu Wu, Wei Wu, Zhoujun Li, and Ming Zhou. 2018. Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 420–425, Melbourne, Australia. Association for Computational Linguistics."
transher_translating_knowledge_graph_embedding_with_hyperellipsoidal_restriction,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.583,li-etal-2022-transher,"Yizhi Li, Wei Fan, Chao Liu, Chenghua Lin, and Jiang Qian. 2022. TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8517–8528, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
anonymisation_models_for_text_data_state_of_the_art_challenges_and_future_directions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_bayesian_approach_to_unsupervised_semantic_role_induction,April,2012.0,EACL,https://aclanthology.org/E12-1003,titov-klementiev-2012-bayesian,"Ivan Titov and Alexandre Klementiev. 2012. A Bayesian Approach to Unsupervised Semantic Role Induction. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 12–22, Avignon, France. Association for Computational Linguistics."
interpretable_operational_risk_classification_with_semisupervised_variational_autoencoder,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
decompx_explaining_transformers_decisions_by_propagating_token_decomposition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
linkbert_pretraining_language_models_with_document_links,May,2022.0,ACL,https://aclanthology.org/2022.acl-long.551,yasunaga-etal-2022-linkbert,"Michihiro Yasunaga, Jure Leskovec, and Percy Liang. 2022. LinkBERT: Pretraining Language Models with Document Links. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 8003–8016, Dublin, Ireland. Association for Computational Linguistics."
automatically_augmenting_an_emotion_dataset_improves_classification_using_audio,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
midge_generating_image_descriptions_from_computer_vision_detections,April,2012.0,EACL,https://aclanthology.org/E12-1076,mitchell-etal-2012-midge,"Margaret Mitchell, Jesse Dodge, Amit Goyal, Kota Yamaguchi, Karl Stratos, Xufeng Han, Alyssa Mensch, Alex Berg, Tamara Berg, and Hal Daumé III. 2012. Midge: Generating Image Descriptions From Computer Vision Detections. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 747–756, Avignon, France. Association for Computational Linguistics."
dont_rule_out_monolingual_speakers_a_method_for_crowdsourcing_machine_translation_data,August,2021.0,,https://aclanthology.org/2021.acl-short.139,bhatnagar-etal-2021-dont,"Rajat Bhatnagar, Ananya Ganesh, and Katharina Kann. 2021. Don’t Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 1099–1106, Online. Association for Computational Linguistics."
gluecos_an_evaluation_benchmark_for_codeswitched_nlp,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
are_we_there_yet_encoderdecoder_neural_networks_as_cognitive_models_of_english_past_tense_inflection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_content_moderation_a_case_study_on_reddit,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.276,ye-etal-2023-multilingual,"Meng Ye, Karan Sikka, Katherine Atwell, Sabit Hassan, Ajay Divakaran, and Malihe Alikhani. 2023. Multilingual Content Moderation: A Case Study on Reddit. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3828–3844, Dubrovnik, Croatia. Association for Computational Linguistics."
zgul_zeroshot_generalization_to_unseen_languages_using_multisource_ensembling_of_language_adapters,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
explicit_utilization_of_general_knowledge_in_machine_reading_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_opening_the_black_box_of_neural_machine_translation_source_and_target_interpretations_of_the_transformer,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.599,ferrando-etal-2022-towards,"Javier Ferrando, Gerard I. Gállego, Belen Alastruey, Carlos Escolano, and Marta R. Costa-jussà. 2022. Towards Opening the Black Box of Neural Machine Translation: Source and Target Interpretations of the Transformer. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8756–8769, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
improving_acoustic_word_embeddings_through_correspondence_training_of_selfsupervised_speech_representations,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.118,meghanani-hain-2024-improving,"Amit Meghanani and Thomas Hain. 2024. Improving Acoustic Word Embeddings through Correspondence Training of Self-supervised Speech Representations. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1959–1967, St. Julian’s, Malta. Association for Computational Linguistics."
hard_gate_knowledge_distillation__leverage_calibration_for_robust_and_reliable_language_model,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.665,lee-etal-2022-hard,"Dongkyu Lee, Zhiliang Tian, Yingxiu Zhao, Ka Chun Cheung, and Nevin Zhang. 2022. Hard Gate Knowledge Distillation - Leverage Calibration for Robust and Reliable Language Model. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9793–9803, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
endtoend_knowledge_retrieval_with_multimodal_queries,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
relwalk__a_latent_variable_model_approach_to_knowledge_graph_embedding,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.133,bollegala-etal-2021-relwalk,"Danushka Bollegala, Huda Hakami, Yuichi Yoshida, and Ken-ichi Kawarabayashi. 2021. RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1551–1565, Online. Association for Computational Linguistics."
ranking_suspected_answers_to_natural_language_questions_using_predictive_annotation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tomayto_tomahto_beyond_tokenlevel_answer_equivalence_for_question_answering_evaluation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.20,bulian-etal-2022-tomayto,"Jannis Bulian, Christian Buck, Wojciech Gajewski, Benjamin Börschinger, and Tal Schuster. 2022. Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 291–305, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
largescale_lifelong_learning_of_incontext_instructions_and_how_to_tackle_it,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
efficient_adversarial_training_with_robust_earlybird_tickets,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dialogconv_a_lightweight_fully_convolutional_network_for_multiview_response_selection,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.828,liu-etal-2022-dialogconv,"Yongkang Liu, Shi Feng, Wei Gao, Daling Wang, and Yifei Zhang. 2022. DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 12086–12098, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
graphaugmented_learning_to_rank_for_querying_largescale_knowledge_graph,August,2024.0,ACL,https://aclanthology.org/2024.acl-long.245,plenz-frank-2024-graph,"Moritz Plenz and Anette Frank. 2024. Graph Language Models. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 4477–4494, Bangkok, Thailand. Association for Computational Linguistics."
a_dataset_for_metaphor_detection_in_early_medieval_hebrew_poetry,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.39,toker-etal-2024-dataset,"Michael Toker, Oren Mishali, Ophir Münz-Manor, Benny Kimelfeld, and Yonatan Belinkov. 2024. A Dataset for Metaphor Detection in Early Medieval Hebrew Poetry. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 443–453, St. Julian’s, Malta. Association for Computational Linguistics."
tabouid_a_wikipediabased_word_guessing_game,July,2020.0,ACL,https://aclanthology.org/2020.acl-demos.4,bernard-2020-tabouid,"Timothée Bernard. 2020. Tabouid: a Wikipedia-based word guessing game. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 24–29, Online. Association for Computational Linguistics."
editnts_an_neural_programmerinterpreter_model_for_sentence_simplification_through_explicit_editing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sparse_progressive_distillation_resolving_overfitting_under_pretrainandfinetune_paradigm,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neurst_neural_speech_translation_toolkit,August,2021.0,,https://aclanthology.org/2021.acl-demo.7,zhao-etal-2021-neurst,"Chengqi Zhao, Mingxuan Wang, Qianqian Dong, Rong Ye, and Lei Li. 2021. NeurST: Neural Speech Translation Toolkit. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations, pages 55–62, Online. Association for Computational Linguistics."
an_unhelpful_guide_to_selecting_the_best_asr_architecture_for_your_underresourced_language,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.87,jimerson-etal-2023-unhelpful,"Robert Jimerson, Zoey Liu, and Emily Prud’hommeaux. 2023. An (unhelpful) guide to selecting the best ASR architecture for your under-resourced language. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1008–1016, Toronto, Canada. Association for Computational Linguistics."
harnessing_llms_for_temporal_data__a_study_on_explainable_financial_time_series_forecasting,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.69,yu-etal-2023-harnessing,"Xinli Yu, Zheng Chen, and Yanbin Lu. 2023. Harnessing LLMs for Temporal Data - A Study on Explainable Financial Time Series Forecasting. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 739–753, Singapore. Association for Computational Linguistics."
generating_userengaging_news_headlines,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
beamseg_a_joint_model_for_multidocument_segmentation_and_topic_identification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hatecheck_functional_tests_for_hate_speech_detection_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pixie_preference_in_implicit_and_explicit_comparisons,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.13,haque-etal-2022-pixie,"Amanul Haque, Vaibhav Garg, Hui Guo, and Munindar Singh. 2022. Pixie: Preference in Implicit and Explicit Comparisons. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 106–112, Dublin, Ireland. Association for Computational Linguistics."
understanding_and_improving_sequencetosequence_pretraining_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
axmabsa_a_framework_for_extremely_weakly_supervised_multilabel_aspect_based_sentiment_analysis,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.412,kamila-etal-2022-ax,"Sabyasachi Kamila, Walid Magdy, Sourav Dutta, and MingXue Wang. 2022. AX-MABSA: A Framework for Extremely Weakly Supervised Multi-label Aspect Based Sentiment Analysis. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6136–6147, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
modelling_context_and_syntactical_features_for_aspectbased_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evidence__intuition_transferability_estimation_for_encoder_selection,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.283,bassignana-etal-2022-evidence,"Elisa Bassignana, Max Müller-Eberstein, Mike Zhang, and Barbara Plank. 2022. Evidence > Intuition: Transferability Estimation for Encoder Selection. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4218–4227, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
on_the_challenges_of_using_blackbox_apis_for_toxicity_evaluation_in_research,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
extracting_kinship_from_obituary_to_enhance_electronic_health_records_for_genetic_research,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
whats_new_summarizing_contributions_in_scientific_literature,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.72,hayashi-etal-2023-whats,"Hiroaki Hayashi, Wojciech Kryscinski, Bryan McCann, Nazneen Rajani, and Caiming Xiong. 2023. What’s New? Summarizing Contributions in Scientific Literature. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1019–1031, Dubrovnik, Croatia. Association for Computational Linguistics."
learning_noun_phrase_query_segmentation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
structural_attention_neural_networks_for_improved_sentiment_analysis,April,2017.0,EACL,https://aclanthology.org/E17-2093,kokkinos-potamianos-2017-structural,"Filippos Kokkinos and Alexandros Potamianos. 2017. Structural Attention Neural Networks for improved sentiment analysis. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 586–591, Valencia, Spain. Association for Computational Linguistics."
the_infinite_pcfg_using_hierarchical_dirichlet_processes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_aspectlevel_sentiment_controllable_style_transfer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
language_model_is_suitable_for_correction_of_handwritten_mathematical_expressions_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multigranularity_optimization_for_nonautoregressive_translation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.339,li-etal-2022-multi-granularity,"Yafu Li, Leyang Cui, Yongjing Yin, and Yue Zhang. 2022. Multi-Granularity Optimization for Non-Autoregressive Translation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5073–5084, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
define_your_terms__enhancing_efficient_offensive_speech_classification_with_definition,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.78,nghiem-etal-2024-define,"Huy Nghiem, Umang Gupta, and Fred Morstatter. 2024. “Define Your Terms” : Enhancing Efficient Offensive Speech Classification with Definition. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1293–1309, St. Julian’s, Malta. Association for Computational Linguistics."
balancing_lexical_and_semantic_quality_in_abstractive_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
massively_multilingual_transfer_for_ner,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_generative_model_for_user_simulation_in_a_spatial_navigation_domain,April,2014.0,EACL,https://aclanthology.org/E14-1066,eshky-etal-2014-generative,"Aciel Eshky, Ben Allison, Subramanian Ramamoorthy, and Mark Steedman. 2014. A Generative Model for User Simulation in a Spatial Navigation Domain. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 626–635, Gothenburg, Sweden. Association for Computational Linguistics."
capturing_relations_between_scientific_papers_an_abstractive_model_for_related_work_section_generation,August,2021.0,,https://aclanthology.org/2021.acl-long.473,chen-etal-2021-capturing,"Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Xiangliang Zhang, Dongyan Zhao, and Rui Yan. 2021. Capturing Relations between Scientific Papers: An Abstractive Model for Related Work Section Generation. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 6068–6077, Online. Association for Computational Linguistics."
did_you_read_the_instructions_rethinking_the_effectiveness_of_task_definitions_in_instruction_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tag__type_auxiliary_guiding_for_code_comment_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
there_are_a_thousand_hamlets_in_a_thousand_peoples_eyes_enhancing_knowledgegrounded_dialogue_with_personal_memory,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
leveraging_cognitive_features_for_sentiment_analysis,August,2016.0,CoNLL,https://aclanthology.org/K16-1016,mishra-etal-2016-leveraging,"Abhijit Mishra, Diptesh Kanojia, Seema Nagar, Kuntal Dey, and Pushpak Bhattacharyya. 2016. Leveraging Cognitive Features for Sentiment Analysis. In Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, pages 156–166, Berlin, Germany. Association for Computational Linguistics."
openicl_an_opensource_framework_for_incontext_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
scienceworld_is_your_agent_smarter_than_a_5th_grader,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.775,wang-etal-2022-scienceworld,"Ruoyao Wang, Peter Jansen, Marc-Alexandre Côté, and Prithviraj Ammanabrolu. 2022. ScienceWorld: Is your Agent Smarter than a 5th Grader?. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11279–11298, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
contrastive_decoding_reduces_hallucinations_in_large_multilingual_machine_translation_models,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.155,waldendorf-etal-2024-contrastive,"Jonas Waldendorf, Barry Haddow, and Alexandra Birch. 2024. Contrastive Decoding Reduces Hallucinations in Large Multilingual Machine Translation Models. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2526–2539, St. Julian’s, Malta. Association for Computational Linguistics."
cats_a_pragmatic_chinese_answertosequence_dataset_with_large_scale_and_high_quality,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crosscaption_coreference_resolution_for_automatic_image_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
contentbased_popularity_prediction_of_online_petitions_using_a_deep_regression_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
coffee_counterfactual_fairness_for_personalized_text_generation_in_explainable_recommendation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.819,wang-etal-2023-coffee,"Nan Wang, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang, and Shaoliang Nie. 2023. COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13258–13275, Singapore. Association for Computational Linguistics."
inform__information_entropy_based_multistep_reasoning_for_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
active_imitation_learning_with_noisy_guidance,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
latex2solver_a_hierarchical_semantic_parsing_of_latex_document_into_code_for_an_assistive_optimization_modeling_application,July,2023.0,ACL,https://aclanthology.org/2023.acl-demo.45,ramamonjison-etal-2023-latex2solver,"Rindra Ramamonjison, Timothy Yu, Linzi Xing, Mahdi Mostajabdaveh, Xiaorui Li, Xiaojin Fu, Xiongwei Han, Yuanzhe Chen, Ren Li, Kun Mao, and Yong Zhang. 2023. LaTeX2Solver: a Hierarchical Semantic Parsing of LaTeX Document into Code for an Assistive Optimization Modeling Application. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 471–478, Toronto, Canada. Association for Computational Linguistics."
evaluating_embedding_apis_for_information_retrieval,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
investigating_nonlocal_features_for_neural_constituency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
encoderdecoder_models_can_benefit_from_pretrained_masked_language_models_in_grammatical_error_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
r2f_a_general_retrieval_reading_and_fusion_framework_for_documentlevel_natural_language_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
irma_the_335millionword_italian_corpus_for_studying_misinformation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_comparative_study_of_faithfulness_metrics_for_model_interpretability_methods,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
meta_selfrefinement_for_robust_learning_with_weak_supervision,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.74,zhu-etal-2023-meta,"Dawei Zhu, Xiaoyu Shen, Michael Hedderich, and Dietrich Klakow. 2023. Meta Self-Refinement for Robust Learning with Weak Supervision. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1043–1058, Dubrovnik, Croatia. Association for Computational Linguistics."
can_prompt_probe_pretrained_language_models_understanding_the_invisible_risks_from_a_causal_view,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reducing_position_bias_in_simultaneous_machine_translation_with_lengthaware_framework,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
named_entity_extraction_from_noisy_input_speech_and_ocr,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
leveraging_type_descriptions_for_zeroshot_named_entity_recognition_and_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
machine_reading_tea_leaves_automatically_evaluating_topic_coherence_and_topic_model_quality,April,2014.0,EACL,https://aclanthology.org/E14-1056,lau-etal-2014-machine,"Jey Han Lau, David Newman, and Timothy Baldwin. 2014. Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 530–539, Gothenburg, Sweden. Association for Computational Linguistics."
headedspanbased_projective_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
constrained_decoding_for_neural_nlg_from_compositional_representations_in_taskoriented_dialogue,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
representation_learning_for_information_extraction_from_formlike_documents,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_framework_for_adapting_pretrained_language_models_to_knowledge_graph_completion,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.398,lovelace-rose-2022-framework,"Justin Lovelace and Carolyn Rosé. 2022. A Framework for Adapting Pre-Trained Language Models to Knowledge Graph Completion. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5937–5955, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
superbizarre_is_not_superb_derivational_morphology_improves_berts_interpretation_of_complex_words,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatic_linking_of_judgements_to_uk_supreme_court_hearings,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.47,saadany-orasan-2023-automatic,"Hadeel Saadany and Constantin Orasan. 2023. Automatic Linking of Judgements to UK Supreme Court Hearings. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 492–500, Singapore. Association for Computational Linguistics."
scalable_evaluation_and_improvement_of_document_set_expansion_via_neural_positiveunlabeled_learning,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.47,jacovi-etal-2021-scalable,"Alon Jacovi, Gang Niu, Yoav Goldberg, and Masashi Sugiyama. 2021. Scalable Evaluation and Improvement of Document Set Expansion via Neural Positive-Unlabeled Learning. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 581–592, Online. Association for Computational Linguistics."
synjax_structured_probability_distributions_for_jax,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-demo.32,stanojevic-sartran-2023-synjax,"Miloš Stanojević and Laurent Sartran. 2023. SynJax: Structured Probability Distributions for JAX. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 353–364, Singapore. Association for Computational Linguistics."
an_expectation_maximization_approach_to_pronoun_resolution,June,2005.0,CoNLL,https://aclanthology.org/W05-0612,cherry-bergsma-2005-expectation,"Colin Cherry and Shane Bergsma. 2005. An Expectation Maximization Approach to Pronoun Resolution. In Proceedings of the Ninth Conference on Computational Natural Language Learning (CoNLL-2005), pages 88–95, Ann Arbor, Michigan. Association for Computational Linguistics."
neural_architectures_for_finegrained_entity_type_classification,April,2017.0,EACL,https://aclanthology.org/E17-1119,shimaoka-etal-2017-neural,"Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, and Sebastian Riedel. 2017. Neural Architectures for Fine-grained Entity Type Classification. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 1271–1280, Valencia, Spain. Association for Computational Linguistics."
bridging_languages_through_images_with_deep_partial_canonical_correlation_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
randomized_deep_structured_prediction_for_discourselevel_processing,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.100,widmoser-etal-2021-randomized,"Manuel Widmoser, Maria Leonor Pacheco, Jean Honorio, and Dan Goldwasser. 2021. Randomized Deep Structured Prediction for Discourse-Level Processing. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1174–1184, Online. Association for Computational Linguistics."
looking_for_hyponyms_in_vector_space,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
grammatical_error_correction_using_pseudo_learner_corpus_considering_learners_error_tendency,July,2020.0,ACL,https://aclanthology.org/2020.acl-srw.5,takahashi-etal-2020-grammatical,"Yujin Takahashi, Satoru Katsumata, and Mamoru Komachi. 2020. Grammatical Error Correction Using Pseudo Learner Corpus Considering Learner’s Error Tendency. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 27–32, Online. Association for Computational Linguistics."
efficient_ctc_regularization_via_coarse_labels_for_endtoend_speech_translation,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.166,zhang-etal-2023-efficient,"Biao Zhang, Barry Haddow, and Rico Sennrich. 2023. Efficient CTC Regularization via Coarse Labels for End-to-End Speech Translation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2264–2276, Dubrovnik, Croatia. Association for Computational Linguistics."
exploiting_multiple_hypotheses_for_multilingual_spoken_language_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
geoencoder_a_chunkargument_biencoder_framework_for_chinese_geographic_reranking,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.91,cao-etal-2024-geo,"Yong Cao, Ruixue Ding, Boli Chen, Xianzhi Li, Min Chen, Daniel Hershcovich, Pengjun Xie, and Fei Huang. 2024. Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1516–1530, St. Julian’s, Malta. Association for Computational Linguistics."
seen_structured_event_enhancement_network_for_explainable_need_detection_of_information_recall_assistance,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.365,lin-etal-2022-seen,"You-En Lin, An-Zi Yen, Hen-Hsen Huang, and Hsin-Hsi Chen. 2022. SEEN: Structured Event Enhancement Network for Explainable Need Detection of Information Recall Assistance. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5438–5451, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
msctd_a_multimodal_sentiment_chat_translation_dataset,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hahe_hierarchical_attention_for_hyperrelational_knowledge_graphs_in_global_and_local_level,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
using_counterfactual_contrast_to_improve_compositional_generalization_for_multistep_quantitative_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enabling_language_models_to_fill_in_the_blanks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rst_discourse_parsing_with_secondstage_edulevel_pretraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mafia_multiadapter_fused_inclusive_language_models,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.37,jain-etal-2024-mafia,"Prachi Jain, Ashutosh Sathe, Varun Gumma, Kabir Ahuja, and Sunayana Sitaram. 2024. MAFIA: Multi-Adapter Fused Inclusive Language Models. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 627–645, St. Julian’s, Malta. Association for Computational Linguistics."
actively_supervised_clustering_for_open_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
metalearning_for_effective_multitask_and_multilingual_modelling,December,2023.0,Findings,https://aclanthology.org/2023.findings-emnlp.308,sengupta-etal-2023-modeling,"Meghdut Sengupta, Milad Alshomary, Ingrid Scharlau, and Henning Wachsmuth. 2023. Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms. In Findings of the Association for Computational Linguistics: EMNLP 2023, pages 4636–4659, Singapore. Association for Computational Linguistics."
a_crowdsourced_opensource_kazakh_speech_corpus_and_initial_speech_recognition_baseline,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.58,khassanov-etal-2021-crowdsourced,"Yerbolat Khassanov, Saida Mussakhojayeva, Almas Mirzakhmetov, Alen Adiyev, Mukhamet Nurpeiissov, and Huseyin Atakan Varol. 2021. A Crowdsourced Open-Source Kazakh Speech Corpus and Initial Speech Recognition Baseline. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 697–706, Online. Association for Computational Linguistics."
midassmm4h2019_identifying_adverse_drug_reactions_and_personal_health_experience_mentions_from_twitter,August,2019.0,ACL,https://aclanthology.org/W19-3223,mahata-etal-2019-midas-smm4h,"Debanjan Mahata, Sarthak Anand, Haimin Zhang, Simra Shahid, Laiba Mehnaz, Yaman Kumar, and Rajiv Ratn Shah. 2019. MIDAS@SMM4H-2019: Identifying Adverse Drug Reactions and Personal Health Experience Mentions from Twitter. In Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task, pages 127–132, Florence, Italy. Association for Computational Linguistics."
contextaware_transformer_pretraining_for_answer_sentence_selection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mtop_a_comprehensive_multilingual_taskoriented_semantic_parsing_benchmark,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.257,li-etal-2021-mtop,"Haoran Li, Abhinav Arora, Shuohui Chen, Anchit Gupta, Sonal Gupta, and Yashar Mehdad. 2021. MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmark. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2950–2962, Online. Association for Computational Linguistics."
relating_simple_sentence_representations_in_deep_neural_networks_and_the_brain,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
optimizing_gpt2_pretraining_on_babylm_corpus_with_difficultybased_sentence_reordering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
selfattentive_multicontext_oneclass_classification_for_unsupervised_anomaly_detection_on_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ganlm_encoderdecoder_pretraining_with_an_auxiliary_discriminator,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multielement_long_distance_dependencies_using_spk_languages_to_explore_the_characteristics_of_longdistance_dependencies,August,2019.0,ACL,https://aclanthology.org/W19-3904,mahalunkar-kelleher-2019-multi,"Abhijit Mahalunkar and John Kelleher. 2019. Multi-Element Long Distance Dependencies: Using SPk Languages to Explore the Characteristics of Long-Distance Dependencies. In Proceedings of the Workshop on Deep Learning and Formal Languages: Building Bridges, pages 34–43, Florence. Association for Computational Linguistics."
putting_context_in_context_the_impact_of_discussion_structure_on_text_classification,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.108,penzo-etal-2024-putting,"Nicolò Penzo, Antonio Longa, Bruno Lepri, Sara Tonelli, and Marco Guerini. 2024. Putting Context in Context: the Impact of Discussion Structure on Text Classification. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1793–1811, St. Julian’s, Malta. Association for Computational Linguistics."
agree_to_disagree_analysis_of_interannotator_disagreements_in_human_evaluation_of_machine_translation_output,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_subtitle_segmentation_with_masked_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mutual_exclusivity_training_and_primitive_augmentation_to_induce_compositionality,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.808,jiang-etal-2022-mutual,"Yichen Jiang, Xiang Zhou, and Mohit Bansal. 2022. Mutual Exclusivity Training and Primitive Augmentation to Induce Compositionality. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11778–11793, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
question_answering_in_the_biomedical_domain,July,2019.0,ACL,https://aclanthology.org/P19-2008,nguyen-2019-question,"Vincent Nguyen. 2019. Question Answering in the Biomedical Domain. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 54–63, Florence, Italy. Association for Computational Linguistics."
on_evaluating_multilingual_compositional_generalization_with_translated_datasets,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
logical_inference_for_counting_on_semistructured_tables,May,2022.0,ACL,https://aclanthology.org/2022.acl-srw.8,kurosawa-yanaka-2022-logical,"Tomoya Kurosawa and Hitomi Yanaka. 2022. Logical Inference for Counting on Semi-structured Tables. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 84–96, Dublin, Ireland. Association for Computational Linguistics."
modeling_inflection_and_wordformation_in_smt,April,2012.0,EACL,https://aclanthology.org/E12-1068,fraser-etal-2012-modeling,"Alexander Fraser, Marion Weller, Aoife Cahill, and Fabienne Cap. 2012. Modeling Inflection and Word-Formation in SMT. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 664–674, Avignon, France. Association for Computational Linguistics."
semantic_parsing_for_english_as_a_second_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_interactivity_and_interpretability_a_rationalebased_legal_judgment_prediction_framework,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
subword_alignment_is_still_useful_a_vestpocket_method_for_enhancing_lowresource_machine_translation,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.68,xu-hong-2022-sub,"Minhan Xu and Yu Hong. 2022. Sub-Word Alignment is Still Useful: A Vest-Pocket Method for Enhancing Low-Resource Machine Translation. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 613–619, Dublin, Ireland. Association for Computational Linguistics."
delivering_fairness_in_human_resources_ai_mutual_information_to_the_rescue,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
consistency_analysis_of_chatgpt,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.991,jang-lukasiewicz-2023-consistency,"Myeongjun Jang and Thomas Lukasiewicz. 2023. Consistency Analysis of ChatGPT. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15970–15985, Singapore. Association for Computational Linguistics."
learning_better_monolingual_models_with_unannotated_bilingual_text,July,2010.0,CoNLL,https://aclanthology.org/W10-2906,burkett-etal-2010-learning,"David Burkett, Slav Petrov, John Blitzer, and Dan Klein. 2010. Learning Better Monolingual Models with Unannotated Bilingual Text. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning, pages 46–54, Uppsala, Sweden. Association for Computational Linguistics."
personalizing_pagerank_for_word_sense_disambiguation,March,2009.0,EACL,https://aclanthology.org/E09-1005,agirre-soroa-2009-personalizing,"Eneko Agirre and Aitor Soroa. 2009. Personalizing PageRank for Word Sense Disambiguation. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 33–41, Athens, Greece. Association for Computational Linguistics."
lexical_semantic_change_discovery,August,2021.0,,https://aclanthology.org/2021.acl-long.543,kurtyigit-etal-2021-lexical,"Sinan Kurtyigit, Maike Park, Dominik Schlechtweg, Jonas Kuhn, and Sabine Schulte im Walde. 2021. Lexical Semantic Change Discovery. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 6985–6998, Online. Association for Computational Linguistics."
this_is_not_a_dataset_a_large_negation_benchmark_to_challenge_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatic_selection_of_class_labels_from_a_thesaurus_for_an_effective_semantic_tagging_of_corpora,March,1997.0,ANLP,https://aclanthology.org/A97-1055,cucchiarelli-velardi-1997-automatic,"Alessandro Cucchiarelli and Paola Velardi. 1997. Automatic Selection of Class Labels from a Thesaurus for an Effective Semantic Tagging of Corpora.. In Fifth Conference on Applied Natural Language Processing, pages 380–387, Washington, DC, USA. Association for Computational Linguistics."
applying_repair_processing_in_chinese_homophone_disambiguation,March,1997.0,ANLP,https://aclanthology.org/A97-1010,lee-chen-1997-applying,"Yue-Shi Lee and Hsin-Hsi Chen. 1997. Applying Repair Processing in Chinese Homophone Disambiguation. In Fifth Conference on Applied Natural Language Processing, pages 57–63, Washington, DC, USA. Association for Computational Linguistics."
xfactor_a_crossmetric_evaluation_of_factual_correctness_in_abstractive_summarization,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.478,chaudhury-etal-2022-x,"Subhajit Chaudhury, Sarathkrishna Swaminathan, Chulaka Gunasekara, Maxwell Crouse, Srinivas Ravishankar, Daiki Kimura, Keerthiram Murugesan, Ramón Fernandez Astudillo, Tahira Naseem, Pavan Kapanipathi, and Alexander Gray. 2022. X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7100–7110, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
a_corpus_of_very_short_scientific_summaries,November,2020.0,CoNLL,https://aclanthology.org/2020.conll-1.12,chen-etal-2020-corpus,"Yifan Chen, Tamara Polajnar, Colin Batchelor, and Simone Teufel. 2020. A Corpus of Very Short Scientific Summaries. In Proceedings of the 24th Conference on Computational Natural Language Learning, pages 153–164, Online. Association for Computational Linguistics."
bleurt_learning_robust_metrics_for_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_psychologically_plausible_and_computationally_effective_approach_to_learning_syntax,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_multitask_approach_to_predict_likability_of_books,April,2017.0,EACL,https://aclanthology.org/E17-1114,maharjan-etal-2017-multi,"Suraj Maharjan, John Arevalo, Manuel Montes, Fabio A. González, and Thamar Solorio. 2017. A Multi-task Approach to Predict Likability of Books. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 1217–1227, Valencia, Spain. Association for Computational Linguistics."
enhancing_unlexicalized_parsing_performance_using_a_wide_coverage_lexicon_fuzzy_tagset_mapping_and_emhmmbased_lexical_probabilities,March,2009.0,EACL,https://aclanthology.org/E09-1038,goldberg-etal-2009-enhancing,"Yoav Goldberg, Reut Tsarfaty, Meni Adler, and Michael Elhadad. 2009. Enhancing Unlexicalized Parsing Performance Using a Wide Coverage Lexicon, Fuzzy Tag-Set Mapping, and EM-HMM-Based Lexical Probabilities. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 327–335, Athens, Greece. Association for Computational Linguistics."
nbest_asr_transformer_enhancing_slu_performance_using_multiple_asr_hypotheses,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
thresh_a_unified_customizable_and_deployable_platform_for_finegrained_text_evaluation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
what_sounds_right_to_me_experiential_factors_in_the_perception_of_political_ideology,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.152,shen-rose-2021-sounds,"Qinlan Shen and Carolyn Rose. 2021. What Sounds “Right” to Me? Experiential Factors in the Perception of Political Ideology. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1762–1771, Online. Association for Computational Linguistics."
actc_active_threshold_calibration_for_coldstart_knowledge_graph_completion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
templategec_improving_grammatical_error_correction_with_detection_template,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
weaklysupervised_spatiotemporally_grounding_natural_sentence_in_video,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
prelearning_environment_representations_for_dataefficient_neural_instruction_following,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
coach_a_coarsetofine_approach_for_crossdomain_slot_filling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
metrictype_identification_for_multilevel_header_numerical_tables_in_scientific_papers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
are_promptbased_models_clueless,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
qiuniu_a_chinese_lyrics_generation_system_with_passagelevel_input,May,2022.0,ACL,https://aclanthology.org/2022.acl-demo.7,zhang-etal-2022-qiuniu,"Le Zhang, Rongsheng Zhang, Xiaoxi Mao, and Yongzhu Chang. 2022. QiuNiu: A Chinese Lyrics Generation System with Passage-Level Input. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 76–82, Dublin, Ireland. Association for Computational Linguistics."
complex_question_decomposition_for_semantic_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
spanemo_casting_multilabel_emotion_classification_as_spanprediction,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.135,alhuzali-ananiadou-2021-spanemo,"Hassan Alhuzali and Sophia Ananiadou. 2021. SpanEmo: Casting Multi-label Emotion Classification as Span-prediction. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1573–1584, Online. Association for Computational Linguistics."
gengo_acl_paper_explorer_with_semantic_features,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
countering_misinformation_via_emotional_response_generation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.703,russo-etal-2023-countering,"Daniel Russo, Shane Kaszefski-Yaschuk, Jacopo Staiano, and Marco Guerini. 2023. Countering Misinformation via Emotional Response Generation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11476–11492, Singapore. Association for Computational Linguistics."
beat_llms_at_their_own_game_zeroshot_llmgenerated_text_detection_via_querying_chatgpt,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
increasing_faithfulness_in_knowledgegrounded_dialogue_with_controllable_features,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
historical_text_normalization_with_delayed_rewards,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_twostage_sieve_approach_for_quote_attribution,April,2017.0,EACL,https://aclanthology.org/E17-1044,muzny-etal-2017-two,"Grace Muzny, Michael Fang, Angel Chang, and Dan Jurafsky. 2017. A Two-stage Sieve Approach for Quote Attribution. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 460–470, Valencia, Spain. Association for Computational Linguistics."
peek_across_improving_multidocument_modeling_via_crossdocument_questionanswering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sentencelevel_evidence_embedding_for_claim_verification_with_hierarchical_attention_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
texar_a_modularized_versatile_and_extensible_toolkit_for_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
aligning_recommendation_and_conversation_via_dual_imitation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.36,zhou-etal-2022-aligning,"Jinfeng Zhou, Bo Wang, Minlie Huang, Dongming Zhao, Kun Huang, Ruifang He, and Yuexian Hou. 2022. Aligning Recommendation and Conversation via Dual Imitation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 549–561, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
metaphor_detection_via_explicit_basic_meanings_modelling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
esprit_explaining_solutions_to_physical_reasoning_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_a_unified_multidimensional_evaluator_for_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_hitchhikers_guide_to_testing_statistical_significance_in_natural_language_processing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multichannel_variablesize_convolution_for_sentence_classification,July,2015.0,CoNLL,https://aclanthology.org/K15-1021,yin-schutze-2015-multichannel,"Wenpeng Yin and Hinrich Schütze. 2015. Multichannel Variable-Size Convolution for Sentence Classification. In Proceedings of the Nineteenth Conference on Computational Natural Language Learning, pages 204–214, Beijing, China. Association for Computational Linguistics."
multilingual_dependency_parsing_with_incremental_integer_linear_programming,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sentencelda_discriminative_and_robust_document_representation_with_sentence_level_topic_model,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.31,cha-lee-2024-sentencelda,"Taehun Cha and Donghun Lee. 2024. SentenceLDA: Discriminative and Robust Document Representation with Sentence Level Topic Model. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 521–538, St. Julian’s, Malta. Association for Computational Linguistics."
emergence_of_abstract_state_representations_in_embodied_sequence_modeling,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.749,yun-etal-2023-emergence,"Tian Yun, Zilai Zeng, Kunal Handa, Ashish Thapliyal, Bo Pang, Ellie Pavlick, and Chen Sun. 2023. Emergence of Abstract State Representations in Embodied Sequence Modeling. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12190–12205, Singapore. Association for Computational Linguistics."
perslearn_research_training_through_the_lens_of_perspective_cultivation,July,2023.0,ACL,https://aclanthology.org/2023.acl-demo.2,shi-etal-2023-perslearn,"Yu-Zhe Shi, Shiqian Li, Xinyi Niu, Qiao Xu, Jiawen Liu, Yifan Xu, Shiyu Gu, Bingru He, Xinyang Li, Xinyu Zhao, Zijian Zhao, Yidong Lyu, Zhen Li, Sijia Liu, Lin Qiu, Jinhao Ji, Lecheng Ruan, Yuxi Ma, Wenjuan Han, et al.. 2023. PersLEARN: Research Training through the Lens of Perspective Cultivation. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 11–30, Toronto, Canada. Association for Computational Linguistics."
incremental_query_generation,April,2014.0,EACL,https://aclanthology.org/E14-1020,perez-beltrachini-etal-2014-incremental,"Laura Perez-Beltrachini, Claire Gardent, and Enrico Franconi. 2014. Incremental Query Generation. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 183–191, Gothenburg, Sweden. Association for Computational Linguistics."
nollysenti_leveraging_transfer_learning_and_machine_translation_for_nigerian_movie_sentiment_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generating_artificial_errors_for_grammatical_error_correction,April,2014.0,EACL,https://aclanthology.org/E14-3013,felice-yuan-2014-generating,"Mariano Felice and Zheng Yuan. 2014. Generating artificial errors for grammatical error correction. In Proceedings of the Student Research Workshop at the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 116–126, Gothenburg, Sweden. Association for Computational Linguistics."
understanding_gameplaying_agents_with_natural_language_annotations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cold_fusion_collaborative_descent_for_distributed_multitask_finetuning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
from_surrogacy_to_adoption_from_bitcoin_to_cryptocurrency_debate_topic_expansion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
named_entity_recognition_in_twitter_a_dataset_and_analysis_on_shortterm_temporal_shifts,November,2022.0,,https://aclanthology.org/2022.aacl-main.25,ushio-etal-2022-named,"Asahi Ushio, Francesco Barbieri, Vitor Sousa, Leonardo Neves, and Jose Camacho-Collados. 2022. Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shifts. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 309–319, Online only. Association for Computational Linguistics."
leveraging_explicit_lexicological_alignments_in_texttosql_parsing,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.31,sun-etal-2022-leveraging,"Runxin Sun, Shizhu He, Chong Zhu, Yaohan He, Jinlong Li, Jun Zhao, and Kang Liu. 2022. Leveraging Explicit Lexico-logical Alignments in Text-to-SQL Parsing. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 283–289, Dublin, Ireland. Association for Computational Linguistics."
relevant_and_informative_response_generation_using_pointwise_mutual_information,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
character_sequencetosequence_model_with_global_attention_for_universal_morphological_reinflection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_faq_retrieval_with_question_generation_and_bert,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
natural_language_generation_as_planning_under_uncertainty_for_spoken_dialogue_systems,March,2009.0,EACL,https://aclanthology.org/E09-1078,rieser-lemon-2009-natural,"Verena Rieser and Oliver Lemon. 2009. Natural Language Generation as Planning Under Uncertainty for Spoken Dialogue Systems. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 683–691, Athens, Greece. Association for Computational Linguistics."
efficient_clusterbased_knearestneighbor_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rescue_implicit_and_longtail_cases_nearest_neighbor_relation_extraction,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.113,wan-etal-2022-rescue,"Zhen Wan, Qianying Liu, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi, and Jiwei Li. 2022. Rescue Implicit and Long-tail Cases: Nearest Neighbor Relation Extraction. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1731–1738, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
how_does_berts_attention_change_when_you_finetune_an_analysis_methodology_and_a_case_study_in_negation_scope,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
metacat_a_metadatabased_taskoriented_chatbot_annotation_tool,December,2020.0,AACL,https://aclanthology.org/2020.aacl-demo.4,liu-etal-2020-metacat,"Ximing Liu, Wei Xue, Qi Su, Weiran Nie, and Wei Peng. 2020. metaCAT: A Metadata-based Task-oriented Chatbot Annotation Tool. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: System Demonstrations, pages 20–25, Suzhou, China. Association for Computational Linguistics."
language_modelling_makes_sense_propagating_representations_through_wordnet_for_fullcoverage_word_sense_disambiguation,July,2019.0,ACL,https://aclanthology.org/P19-1569,loureiro-jorge-2019-language,"Daniel Loureiro and Alípio Jorge. 2019. Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense Disambiguation. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 5682–5691, Florence, Italy. Association for Computational Linguistics."
plome_pretraining_with_misspelled_knowledge_for_chinese_spelling_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
eurlexsum_a_multi_and_crosslingual_dataset_for_longform_summarization_in_the_legal_domain,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.519,aumiller-etal-2022-eur,"Dennis Aumiller, Ashish Chouhan, and Michael Gertz. 2022. EUR-Lex-Sum: A Multi- and Cross-lingual Dataset for Long-form Summarization in the Legal Domain. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7626–7639, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
towards_language_agnostic_universal_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
perspectroscope_a_window_to_the_world_of_diverse_perspectives,July,2019.0,ACL,https://aclanthology.org/P19-3022,chen-etal-2019-perspectroscope,"Sihao Chen, Daniel Khashabi, Chris Callison-Burch, and Dan Roth. 2019. PerspectroScope: A Window to the World of Diverse Perspectives. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 129–134, Florence, Italy. Association for Computational Linguistics."
lexicon_enhanced_chinese_sequence_labeling_using_bert_adapter,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
when_to_use_multitask_learning_vs_intermediate_finetuning_for_pretrained_encoder_transfer_learning,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.30,weller-etal-2022-use,"Orion Weller, Kevin Seppi, and Matt Gardner. 2022. When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 272–282, Dublin, Ireland. Association for Computational Linguistics."
a_twostep_approach_for_implicit_event_argument_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unnatural_language_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
better_fewshot_relation_extraction_with_label_prompt_dropout,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
matscinlp_evaluating_scientific_language_models_on_materials_science_language_tasks_using_texttoschema_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
indicmt_eval_a_dataset_to_metaevaluate_machine_translation_metrics_for_indian_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
udapter__efficient_domain_adaptation_using_adapters,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.165,malik-etal-2023-udapter,"Bhavitvya Malik, Abhinav Ramesh Kashyap, Min-Yen Kan, and Soujanya Poria. 2023. UDAPTER - Efficient Domain Adaptation Using Adapters. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2249–2263, Dubrovnik, Croatia. Association for Computational Linguistics."
a_largescale_evaluation_of_neural_machine_transliteration_for_indic_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_biomedical_abstractive_summarisation_with_knowledge_aggregation_from_citation_papers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_unified_feature_representation_for_lexical_connotations,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.184,allaway-mckeown-2021-unified,"Emily Allaway and Kathleen McKeown. 2021. A Unified Feature Representation for Lexical Connotations. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2145–2163, Online. Association for Computational Linguistics."
generating_formalitytuned_summaries_using_inputdependent_rewards,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
accurate_training_of_webbased_question_answering_systems_with_feedback_from_ranked_users,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
glm_general_language_model_pretraining_with_autoregressive_blank_infilling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
retrieval_enhanced_data_augmentation_for_question_answering_on_privacy_policies,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.16,parvez-etal-2023-retrieval,"Md Rizwan Parvez, Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, and Kai-Wei Chang. 2023. Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 201–210, Dubrovnik, Croatia. Association for Computational Linguistics."
ranking_of_potential_questions,July,2019.0,ACL,https://aclanthology.org/P19-2019,schricker-scheffler-2019-ranking,"Luise Schricker and Tatjana Scheffler. 2019. Ranking of Potential Questions. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 143–148, Florence, Italy. Association for Computational Linguistics."
predicting_sentence_deletions_for_text_simplification_using_a_functional_discourse_structure,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.28,zhang-etal-2022-predicting,"Bohan Zhang, Prafulla Kumar Choubey, and Ruihong Huang. 2022. Predicting Sentence Deletions for Text Simplification Using a Functional Discourse Structure. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 255–261, Dublin, Ireland. Association for Computational Linguistics."
hierec_hierarchical_user_interest_modeling_for_personalized_news_recommendation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lexicalising_word_order_constraints_for_implemented_linearisation_grammar,,2006.0,EACL,https://aclanthology.org/E06-3007,sato-2006-lexicalising,"Yo Sato. 2006. Lexicalising Word Order Constraints for Implemented Linearisation Grammar. In Student Research Workshop, pages 23–30."
simpler_but_more_accurate_semantic_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_higher_pareto_frontier_in_multilingual_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
telling_berts_full_story_from_local_attention_to_global_aggregation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.9,pascual-etal-2021-telling,"Damian Pascual, Gino Brunner, and Roger Wattenhofer. 2021. Telling BERT’s Full Story: from Local Attention to Global Aggregation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 105–124, Online. Association for Computational Linguistics."
latent_variable_sentiment_grammar,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
isa_an_intelligent_shopping_assistant,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
program_translation_via_code_distillation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
kepl_knowledge_enhanced_prompt_learning_for_chinese_hypernymhyponym_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
open_domain_question_answering_with_a_unified_knowledge_interface,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
are_hard_examples_also_harder_to_explain_a_study_with_human_and_modelgenerated_explanations,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.137,saha-etal-2022-hard,"Swarnadeep Saha, Peter Hase, Nazneen Rajani, and Mohit Bansal. 2022. Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 2121–2131, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
reading_turn_by_turn_hierarchical_attention_architecture_for_spoken_dialogue_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_outofdomain_detection_via_pretrained_transformers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
finding_dataset_shortcuts_with_grammar_induction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_chinese_spelling_check_by_character_pronunciation_prediction_the_effects_of_adaptivity_and_granularity,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.287,li-etal-2022-improving-chinese,"Jiahao Li, Quan Wang, Zhendong Mao, Junbo Guo, Yanyan Yang, and Yongdong Zhang. 2022. Improving Chinese Spelling Check by Character Pronunciation Prediction: The Effects of Adaptivity and Granularity. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4275–4286, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
text_style_transfer_backtranslation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generationdriven_contrastive_selftraining_for_zeroshot_text_classification_with_instructionfollowing_llm,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.39,zhang-etal-2024-generation,"Ruohong Zhang, Yau-Shian Wang, and Yiming Yang. 2024. Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLM. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 659–673, St. Julian’s, Malta. Association for Computational Linguistics."
handling_divergent_reference_texts_when_evaluating_tabletotext_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
do_dependency_parsing_metrics_correlate_with_human_judgments,July,2015.0,CoNLL,https://aclanthology.org/K15-1033,plank-etal-2015-dependency,"Barbara Plank, Héctor Martínez Alonso, Željko Agić, Danijela Merkler, and Anders Søgaard. 2015. Do dependency parsing metrics correlate with human judgments?. In Proceedings of the Nineteenth Conference on Computational Natural Language Learning, pages 315–320, Beijing, China. Association for Computational Linguistics."
unsupervised_discovery_of_scenariolevel_patterns_for_information_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
aeg_argumentative_essay_generation_via_a_dualdecoder_model_with_content_planning,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.343,bao-etal-2022-aeg,"Jianzhu Bao, Yasheng Wang, Yitong Li, Fei Mi, and Ruifeng Xu. 2022. AEG: Argumentative Essay Generation via A Dual-Decoder Model with Content Planning. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5134–5148, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
sharedprivate_bilingual_word_embeddings_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
zeroshot_transfer_learning_for_event_extraction,July,2018.0,ACL,https://aclanthology.org/P18-1201,huang-etal-2018-zero,"Lifu Huang, Heng Ji, Kyunghyun Cho, Ido Dagan, Sebastian Riedel, and Clare Voss. 2018. Zero-Shot Transfer Learning for Event Extraction. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2160–2170, Melbourne, Australia. Association for Computational Linguistics."
reanalyzing_the_most_probable_sentence_problem_a_case_study_in_explicating_the_role_of_entropy_in_algorithmic_complexity,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.294,corlett-penn-2021-reanalyzing,"Eric Corlett and Gerald Penn. 2021. Reanalyzing the Most Probable Sentence Problem: A Case Study in Explicating the Role of Entropy in Algorithmic Complexity. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3354–3362, Online. Association for Computational Linguistics."
modelbased_simulation_for_optimising_smart_reply,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
core_cooperative_training_of_retrieverreranker_for_effective_dialogue_response_selection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_resourcefree_evaluation_metric_for_crosslingual_word_embeddings_based_on_graph_modularity,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ondevice_structured_and_context_partitioned_projection_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
aye_or_naw_whit_dae_ye_hink_scottish_independence_and_linguistic_identity_on_social_media,April,2017.0,EACL,https://aclanthology.org/E17-1116,shoemark-etal-2017-aye,"Philippa Shoemark, Debnil Sur, Luke Shrimpton, Iain Murray, and Sharon Goldwater. 2017. Aye or naw, whit dae ye hink? Scottish independence and linguistic identity on social media. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 1239–1248, Valencia, Spain. Association for Computational Linguistics."
a_model_of_backchannel_acknowledgements_in_spoken_dialogue,April,2003.0,EACL,https://aclanthology.org/E03-1069,cathcart-etal-2003-model,"Nicola Cathcart, Jean Carletta, and Ewan Klein. 2003. A model of back-channel acknowledgements in spoken dialogue. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
focus_attention_promoting_faithfulness_and_diversity_in_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
know_what_you_dont_know_unanswerable_questions_for_squad,July,2018.0,ACL,https://aclanthology.org/P18-2124,rajpurkar-etal-2018-know,"Pranav Rajpurkar, Robin Jia, and Percy Liang. 2018. Know What You Don’t Know: Unanswerable Questions for SQuAD. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 784–789, Melbourne, Australia. Association for Computational Linguistics."
robustness_challenges_in_model_distillation_and_pruning_for_natural_language_understanding,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.129,du-etal-2023-robustness,"Mengnan Du, Subhabrata Mukherjee, Yu Cheng, Milad Shokouhi, Xia Hu, and Ahmed Hassan Awadallah. 2023. Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1766–1778, Dubrovnik, Croatia. Association for Computational Linguistics."
nlquad_a_nonfactoid_long_question_answering_data_set,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.106,soleimani-etal-2021-nlquad,"Amir Soleimani, Christof Monz, and Marcel Worring. 2021. NLQuAD: A Non-Factoid Long Question Answering Data Set. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1245–1255, Online. Association for Computational Linguistics."
metagui_towards_multimodal_conversational_agents_on_mobile_gui,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.449,sun-etal-2022-meta,"Liangtai Sun, Xingyu Chen, Lu Chen, Tianle Dai, Zichen Zhu, and Kai Yu. 2022. META-GUI: Towards Multi-modal Conversational Agents on Mobile GUI. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6699–6712, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
injecting_numerical_reasoning_skills_into_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modelling_early_language_acquisition_skills_towards_a_general_statistical_learning_mechanism,April,2009.0,EACL,https://aclanthology.org/E09-3001,aimetti-2009-modelling,"Guillaume Aimetti. 2009. Modelling Early Language Acquisition Skills: Towards a General Statistical Learning Mechanism. In Proceedings of the Student Research Workshop at EACL 2009, pages 1–9, Athens, Greece. Association for Computational Linguistics."
controlling_grammatical_error_correction_using_word_edit_rate,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_twostage_masked_lm_method_for_term_set_expansion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
selftraining_sampling_with_monolingual_data_uncertainty_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_practical_toolkit_for_multilingual_question_and_answer_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
domain_knowledge_transferring_for_pretrained_language_model_via_calibrated_activation_boundary_distillation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
help_me_write_a_poem__instruction_tuning_as_a_vehicle_for_collaborative_poetry_writing,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.460,chakrabarty-etal-2022-help,"Tuhin Chakrabarty, Vishakh Padmakumar, and He He. 2022. Help me write a Poem - Instruction Tuning as a Vehicle for Collaborative Poetry Writing. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6848–6863, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
pals_personalized_active_learning_for_subjective_tasks_in_nlp,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multirepresentation_ensembles_and_delayed_sgd_updates_improve_syntaxbased_nmt,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_holistic_and_automatic_evaluation_of_opendomain_dialogue_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
odrte_a_onestage_object_detection_framework_for_relational_triple_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
construction_artifacts_in_metaphor_identification_datasets,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_inconsistency_of_separable_losses_for_structured_prediction,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.109,corro-2023-inconsistency,"Caio Corro. 2023. On the inconsistency of separable losses for structured prediction. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1491–1498, Dubrovnik, Croatia. Association for Computational Linguistics."
syntactically_rich_discriminative_training_an_effective_method_for_open_information_extraction,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.401,mtumbuka-lukasiewicz-2022-syntactically,"Frank Mtumbuka and Thomas Lukasiewicz. 2022. Syntactically Rich Discriminative Training: An Effective Method for Open Information Extraction. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5972–5987, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
online_automatic_postediting_for_mt_in_a_multidomain_translation_environment,April,2017.0,EACL,https://aclanthology.org/E17-1050,chatterjee-etal-2017-online,"Rajen Chatterjee, Gebremedhen Gebremelak, Matteo Negri, and Marco Turchi. 2017. Online Automatic Post-editing for MT in a Multi-Domain Translation Environment. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 525–535, Valencia, Spain. Association for Computational Linguistics."
expanding_retrieving_and_infilling_diversifying_crossdomain_question_generation_with_flexible_templates,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
udapdr_unsupervised_domain_adaptation_via_llm_prompting_and_distillation_of_rerankers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
coldstart_aware_user_and_product_attention_for_sentiment_classification,July,2018.0,ACL,https://aclanthology.org/P18-1236,amplayo-etal-2018-cold,"Reinald Kim Amplayo, Jihyeok Kim, Sua Sung, and Seung-won Hwang. 2018. Cold-Start Aware User and Product Attention for Sentiment Classification. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2535–2544, Melbourne, Australia. Association for Computational Linguistics."
numeracy_for_language_models_evaluating_and_improving_their_ability_to_predict_numbers,July,2018.0,ACL,https://aclanthology.org/P18-1196,spithourakis-riedel-2018-numeracy,"Georgios Spithourakis and Sebastian Riedel. 2018. Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2104–2115, Melbourne, Australia. Association for Computational Linguistics."
lm_transparency_tool_interactive_tool_for_analyzing_transformer_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dynamic_schema_graph_fusion_network_for_multidomain_dialogue_state_tracking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
counterfactual_data_augmentation_for_mitigating_gender_stereotypes_in_languages_with_rich_morphology,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
group_is_better_than_individual_exploiting_label_topologies_and_label_relations_for_joint_multiple_intent_detection_and_slot_filling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rome_a_robust_metric_for_evaluating_natural_language_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
more_than_classification_a_unified_framework_for_event_temporal_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
other_roles_matter_enhancing_roleoriented_dialogue_summarization_via_role_interactions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
metaphor_generation_with_conceptual_mappings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
glara_graphbased_labeling_rule_augmentation_for_weakly_supervised_named_entity_recognition,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.318,zhao-etal-2021-glara,"Xinyan Zhao, Haibo Ding, and Zhe Feng. 2021. GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3636–3649, Online. Association for Computational Linguistics."
cyclekqr_unsupervised_bidirectional_keywordquestion_rewriting,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
metareinforced_multidomain_state_generator_for_dialogue_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pretraining_to_match_for_unified_lowshot_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
entailment_graph_learning_with_textual_entailment_and_soft_transitivity,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
resel_nary_relation_extraction_from_scientific_text_and_tables_by_learning_to_retrieve_and_select,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.46,zhuang-etal-2022-resel,"Yuchen Zhuang, Yinghao Li, Junyang Zhang, Yue Yu, Yingjun Mou, Xiang Chen, Le Song, and Chao Zhang. 2022. ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 730–744, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
gptd_inducing_dementiarelated_linguistic_anomalies_by_deliberate_degradation_of_artificial_neural_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mitigating_data_sparsity_for_short_text_topic_modeling_by_topicsemantic_contrastive_learning,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.176,wu-etal-2022-mitigating,"Xiaobao Wu, Anh Tuan Luu, and Xinshuai Dong. 2022. Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 2748–2760, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
nakdan_professional_hebrew_diacritizer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modeling_intrarelation_in_math_word_problems_with_different_functional_multihead_attentions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multisplit_reversible_transformers_can_enhance_neural_machine_translation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.19,zhao-etal-2021-multi,"Yuekai Zhao, Shuchang Zhou, and Zhihua Zhang. 2021. Multi-split Reversible Transformers Can Enhance Neural Machine Translation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 244–254, Online. Association for Computational Linguistics."
nagner_a_unified_nonautoregressive_generation_framework_for_various_ner_tasks,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.65,zhang-etal-2023-nag,"Xinpeng Zhang, Ming Tan, Jingfan Zhang, and Wei Zhu. 2023. NAG-NER: a Unified Non-Autoregressive Generation Framework for Various NER Tasks. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 676–686, Toronto, Canada. Association for Computational Linguistics."
online_learning_of_approximate_dependency_parsing_algorithms,April,2006.0,EACL,https://aclanthology.org/E06-1011,mcdonald-pereira-2006-online,"Ryan McDonald and Fernando Pereira. 2006. Online Learning of Approximate Dependency Parsing Algorithms. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 81–88, Trento, Italy. Association for Computational Linguistics."
generative_data_augmentation_with_contrastive_learning_for_zeroshot_stance_detection,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.470,li-yuan-2022-generative,"Yang Li and Jiawei Yuan. 2022. Generative Data Augmentation with Contrastive Learning for Zero-Shot Stance Detection. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6985–6995, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
uncertain_natural_language_inference,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.774,chen-etal-2020-uncertain,"Tongfei Chen, Zhengping Jiang, Adam Poliak, Keisuke Sakaguchi, and Benjamin Van Durme. 2020. Uncertain Natural Language Inference. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8772–8779, Online. Association for Computational Linguistics."
beyond_possession_existence_duration_and_copossession,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.739,chinnappa-etal-2020-beyond,"Dhivya Chinnappa, Srikala Murugan, and Eduardo Blanco. 2020. Beyond Possession Existence: Duration and Co-Possession. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8332–8341, Online. Association for Computational Linguistics."
crosslingual_contextualized_topic_models_with_zeroshot_learning,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.143,bianchi-etal-2021-cross,"Federico Bianchi, Silvia Terragni, Dirk Hovy, Debora Nozza, and Elisabetta Fersini. 2021. Cross-lingual Contextualized Topic Models with Zero-shot Learning. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1676–1683, Online. Association for Computational Linguistics."
reranking_models_for_spoken_language_understanding,March,2009.0,EACL,https://aclanthology.org/E09-1024,dinarelli-etal-2009-ranking-models,"Marco Dinarelli, Alessandro Moschitti, and Giuseppe Riccardi. 2009. Re-Ranking Models for Spoken Language Understanding. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 202–210, Athens, Greece. Association for Computational Linguistics."
goodenough_compositional_data_augmentation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hierarchical_bayesian_language_modelling_for_the_linguistically_informed,April,2012.0,EACL,https://aclanthology.org/E12-3008,botha-2012-hierarchical,"Jan A. Botha. 2012. Hierarchical Bayesian Language Modelling for the Linguistically Informed. In Proceedings of the Student Research Workshop at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 64–73, Avignon, France. Association for Computational Linguistics."
exploring_numeracy_in_word_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_dataoriented_model_of_literary_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
title2event_benchmarking_open_event_extraction_with_a_largescale_chinese_title_dataset,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
poetry_to_prose_conversion_in_sanskrit_as_a_linearisation_task_a_case_for_lowresource_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
quantifying_and_avoiding_unfair_qualification_labour_in_crowdsourcing,August,2021.0,,https://aclanthology.org/2021.acl-short.44,kummerfeld-2021-quantifying,"Jonathan K. Kummerfeld. 2021. Quantifying and Avoiding Unfair Qualification Labour in Crowdsourcing. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 343–349, Online. Association for Computational Linguistics."
avtranspeech_audiovisual_robust_speechtospeech_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dualalignment_pretraining_for_crosslingual_sentence_embedding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
whose_language_counts_as_high_quality_measuring_language_ideologies_in_text_data_selection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
joint_morphological_and_syntactic_disambiguation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
curriculum_pretraining_for_endtoend_speech_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
can_docstring_reformulation_with_an_llm_improve_code_generation,March,2024.0,EACL,https://aclanthology.org/2024.eacl-srw.24,dainese-etal-2024-docstring,"Nicola Dainese, Alexander Ilin, and Pekka Marttinen. 2024. Can docstring reformulation with an LLM improve code generation?. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 296–312, St. Julian’s, Malta. Association for Computational Linguistics."
semisupervised_semantic_role_labeling,March,2009.0,EACL,https://aclanthology.org/E09-1026,furstenau-lapata-2009-semi,"Hagen Fürstenau and Mirella Lapata. 2009. Semi-Supervised Semantic Role Labeling. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 220–228, Athens, Greece. Association for Computational Linguistics."
improved_sentiment_detection_via_label_transfer_from_monolingual_to_synthetic_codeswitched_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
meeting_decision_tracker_making_meeting_minutes_with_decontextualized_utterances,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_dialogue_dodecathlon_opendomain_knowledge_and_image_grounded_conversational_agents,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_biomedical_lay_summarisation_with_external_knowledge_graphs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
small_language_models_finetuned_to_coordinate_larger_language_models_improve_complex_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
passiveaggressive_sequence_labeling_with_discriminative_postediting_for_recognising_person_entities_in_tweets,April,2014.0,EACL,https://aclanthology.org/E14-4014,derczynski-bontcheva-2014-passive,"Leon Derczynski and Kalina Bontcheva. 2014. Passive-Aggressive Sequence Labeling with Discriminative Post-Editing for Recognising Person Entities in Tweets. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 69–73, Gothenburg, Sweden. Association for Computational Linguistics."
largescale_qasrl_parsing,July,2018.0,ACL,https://aclanthology.org/P18-1191,fitzgerald-etal-2018-large,"Nicholas FitzGerald, Julian Michael, Luheng He, and Luke Zettlemoyer. 2018. Large-Scale QA-SRL Parsing. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2051–2060, Melbourne, Australia. Association for Computational Linguistics."
asking_and_answering_questions_to_evaluate_the_factual_consistency_of_summaries,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
resee_responding_through_seeing_finegrained_visual_knowledge_in_opendomain_dialogue,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
triangular_architecture_for_rare_language_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
can_language_models_make_fun_a_case_study_in_chinese_comical_crosstalk,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rankcse_unsupervised_sentence_representations_learning_via_learning_to_rank,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
efficient_nearest_neighbor_emotion_classification_with_bertwhitening,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
transfer_learning_for_healthrelated_twitter_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_dcu_discourse_parser_for_connective_argument_identification_and_explicit_sense_classification,July,2015.0,CoNLL,https://aclanthology.org/K15-2014,wang-etal-2015-dcu,"Longyue Wang, Chris Hokamp, Tsuyoshi Okita, Xiaojun Zhang, and Qun Liu. 2015. The DCU Discourse Parser for Connective, Argument Identification and Explicit Sense Classification. In Proceedings of the Nineteenth Conference on Computational Natural Language Learning - Shared Task, pages 89–94, Beijing, China. Association for Computational Linguistics."
a_mixtureofexperts_model_for_antonymsynonym_discrimination,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
wordlevel_textual_adversarial_attacking_as_combinatorial_optimization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
xnlp_an_interactive_demonstration_system_for_universal_structured_nlp,August,2024.0,ACL,https://aclanthology.org/2024.acl-demos.3,fei-etal-2024-xnlp,"Hao Fei, Meishan Zhang, Min Zhang, and Tat-Seng Chua. 2024. XNLP: An Interactive Demonstration System for Universal Structured NLP. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 19–30, Bangkok, Thailand. Association for Computational Linguistics."
acquiring_language_from_speech_by_learning_to_remember_and_predict,November,2020.0,CoNLL,https://aclanthology.org/2020.conll-1.15,shain-elsner-2020-acquiring,"Cory Shain and Micha Elsner. 2020. Acquiring language from speech by learning to remember and predict. In Proceedings of the 24th Conference on Computational Natural Language Learning, pages 195–214, Online. Association for Computational Linguistics."
towards_a_better_understanding_of_variations_in_zeroshot_neural_machine_translation_performance,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.836,tan-monz-2023-towards,"Shaomu Tan and Christof Monz. 2023. Towards a Better Understanding of Variations in Zero-Shot Neural Machine Translation Performance. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13553–13568, Singapore. Association for Computational Linguistics."
leveraging_key_information_modeling_to_improve_lessdata_constrained_news_headline_generation_via_duality_finetuning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_importance_of_being_parameters_an_intradistillation_method_for_serious_gains,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pvgru_generating_diverse_and_relevant_dialogue_responses_via_pseudovariational_mechanism,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generating_commonsense_counterfactuals_for_stable_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
policy_gradient_as_a_proxy_for_dynamic_oracles_in_constituency_parsing,July,2018.0,ACL,https://aclanthology.org/P18-2075,fried-klein-2018-policy,"Daniel Fried and Dan Klein. 2018. Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 469–476, Melbourne, Australia. Association for Computational Linguistics."
loralay_a_multilingual_and_multimodal_dataset_for_long_range_and_layoutaware_summarization,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.46,nguyen-etal-2023-loralay,"Laura Nguyen, Thomas Scialom, Benjamin Piwowarski, and Jacopo Staiano. 2023. LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 636–651, Dubrovnik, Croatia. Association for Computational Linguistics."
asking_the_right_question_at_the_right_time_human_and_model_uncertainty_guidance_to_ask_clarification_questions,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.16,testoni-fernandez-2024-asking,"Alberto Testoni and Raquel Fernández. 2024. Asking the Right Question at the Right Time: Human and Model Uncertainty Guidance to Ask Clarification Questions. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 258–275, St. Julian’s, Malta. Association for Computational Linguistics."
media_bias_the_social_sciences_and_nlp_automating_frame_analyses_to_identify_bias_by_word_choice_and_labeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
distributed_word_representation_learning_for_crosslingual_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tackling_modality_heterogeneity_with_multiview_calibration_network_for_multimodal_sentiment_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crosslingual_neural_fuzzy_matching_for_exploiting_targetlanguage_monolingual_corpora_in_computeraided_translation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.511,espla-gomis-etal-2022-cross,"Miquel Esplà-Gomis, Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, and Felipe Sánchez-Martínez. 2022. Cross-lingual neural fuzzy matching for exploiting target-language monolingual corpora in computer-aided translation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7532–7543, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
investigating_ud_treebanks_via_dataset_difficulty_measures,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.76,kulmizev-nivre-2023-investigating,"Artur Kulmizev and Joakim Nivre. 2023. Investigating UD Treebanks via Dataset Difficulty Measures. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1076–1089, Dubrovnik, Croatia. Association for Computational Linguistics."
integrating_question_rewrites_in_conversational_question_answering_a_reinforcement_learning_approach,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
superbsg_enhanced_speech_processing_universal_performance_benchmark_for_semantic_and_generative_capabilities,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_chinese_pop_song_and_hokkien_gezi_opera_singing_voice_synthesis_by_enhancing_local_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_relation_classification_via_efficient_and_effective_prompting,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
robust_knowledge_graph_completion_with_stacked_convolutions_and_a_student_reranking_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
newssense_referencefree_verification_via_crossdocument_comparison,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
prompt_as_triggers_for_backdoor_attack_examining_the_vulnerability_in_language_models,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.757,zhao-etal-2023-prompt,"Shuai Zhao, Jinming Wen, Anh Luu, Junbo Zhao, and Jie Fu. 2023. Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12303–12317, Singapore. Association for Computational Linguistics."
using_lstms_to_assess_the_obligatoriness_of_phonological_distinctive_features_for_phonotactic_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_multitask_dataset_for_assessing_discourse_coherence_in_chinese_essays_structure_theme_and_logic_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
prompt_tuning_pushes_farther_contrastive_learning_pulls_closer_a_twostage_approach_to_mitigate_social_biases,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_new_aligned_simple_german_corpus,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_deep_transformer_models_for_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multistyle_generative_reading_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semisupervised_verb_class_discovery_using_noisy_features,,2003.0,CoNLL,https://aclanthology.org/W03-0410,stevenson-joanis-2003-semi,"Suzanne Stevenson and Eric Joanis. 2003. Semi-supervised Verb Class Discovery Using Noisy Features. In Proceedings of the Seventh Conference on Natural Language Learning at HLT-NAACL 2003, pages 71–78."
unsupervised_learning_of_distributional_relation_vectors,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluating_zeroshot_event_structures_recommendations_for_automatic_content_extraction_ace_annotations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
online_learning_meets_machine_translation_evaluation_finding_the_best_systems_with_the_least_human_effort,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crossmodal_similaritybased_curriculum_learning_for_image_captioning,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.516,zhang-etal-2022-cross,"Hongkuan Zhang, Saku Sugawara, Akiko Aizawa, Lei Zhou, Ryohei Sasano, and Koichi Takeda. 2022. Cross-Modal Similarity-Based Curriculum Learning for Image Captioning. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7599–7606, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
perplexitydriven_case_encoding_needs_augmentation_for_capitalization_robustness,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
avoiding_overlap_in_data_augmentation_for_amrtotext_generation,August,2021.0,,https://aclanthology.org/2021.acl-short.132,du-flanigan-2021-avoiding,"Wenchao Du and Jeffrey Flanigan. 2021. Avoiding Overlap in Data Augmentation for AMR-to-Text Generation. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 1043–1048, Online. Association for Computational Linguistics."
a_refined_endtoend_discourse_parser,July,2015.0,CoNLL,https://aclanthology.org/K15-2002,wang-lan-2015-refined,"Jianxiang Wang and Man Lan. 2015. A Refined End-to-End Discourse Parser. In Proceedings of the Nineteenth Conference on Computational Natural Language Learning - Shared Task, pages 17–24, Beijing, China. Association for Computational Linguistics."
an_integrated_termbased_corpus_query_system,April,2003.0,EACL,https://aclanthology.org/E03-1077,spasic-etal-2003-integrated,"Irena Spasic, Goran Nenadic, Kostas Manios, and Sophia Ananiadou. 2003. An Integrated Term-Based Corpus Query System. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
generative_table_pretraining_empowers_models_for_tabular_prediction,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.917,zhang-etal-2023-generative,"Tianping Zhang, Shaowen Wang, Shuicheng Yan, Li Jian, and Qian Liu. 2023. Generative Table Pre-training Empowers Models for Tabular Prediction. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 14836–14854, Singapore. Association for Computational Linguistics."
analyzing_the_source_and_target_contributions_to_predictions_in_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_interplay_of_task_success_and_dialogue_quality_an_indepth_evaluation_in_taskoriented_visual_dialogues,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.178,testoni-bernardi-2021-interplay,"Alberto Testoni and Raffaella Bernardi. 2021. The Interplay of Task Success and Dialogue Quality: An in-depth Evaluation in Task-Oriented Visual Dialogues. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2071–2082, Online. Association for Computational Linguistics."
reco_reliable_causal_chain_reasoning_via_structural_causal_recurrent_neural_networks,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.431,xiong-etal-2022-reco,"Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Ting Liu, Bing Qin, Yi Zheng, and Baoxing Huai. 2022. ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6426–6438, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
multidialectal_representation_learning_of_sinitic_phonology,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dsrm_boost_textual_adversarial_training_with_distribution_shift_risk_minimization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
probing_classifiers_promises_shortcomings_and_advances,March,2022.0,CL,https://aclanthology.org/2022.cl-1.7,belinkov-2022-probing,"Yonatan Belinkov. 2022. Probing Classifiers: Promises, Shortcomings, and Advances. Computational Linguistics, 48(1):207–219."
unsupervised_single_document_abstractive_summarization_using_semantic_units,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_statevector_framework_for_dataset_effects,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
determining_the_placement_of_german_verbs_in_englishtogerman_smt,April,2012.0,EACL,https://aclanthology.org/E12-1074,gojun-fraser-2012-determining,"Anita Gojun and Alexander Fraser. 2012. Determining the placement of German verbs in English–to–German SMT. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 726–735, Avignon, France. Association for Computational Linguistics."
deriving_language_models_from_masked_language_models,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.99,torroba-hennigen-kim-2023-deriving,"Lucas Torroba Hennigen and Yoon Kim. 2023. Deriving Language Models from Masked Language Models. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1149–1159, Toronto, Canada. Association for Computational Linguistics."
effective_estimation_of_deep_generative_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improved_pseudo_data_for_machine_translation_quality_estimation_with_constrained_beam_search,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.764,geng-etal-2023-improved,"Xiang Geng, Yu Zhang, Zhejian Lai, Shuaijie She, Wei Zou, Shimin Tao, Hao Yang, Jiajun Chen, and Shujian Huang. 2023. Improved Pseudo Data for Machine Translation Quality Estimation with Constrained Beam Search. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12434–12447, Singapore. Association for Computational Linguistics."
faster_minimum_bayes_risk_decoding_with_confidencebased_pruning,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.767,cheng-vlachos-2023-faster,"Julius Cheng and Andreas Vlachos. 2023. Faster Minimum Bayes Risk Decoding with Confidence-based Pruning. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12473–12480, Singapore. Association for Computational Linguistics."
lagr_label_aligned_graphs_for_better_systematic_generalization_in_semantic_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
llm4vis_explainable_visualization_recommendation_using_chatgpt,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.64,wang-etal-2023-llm4vis,"Lei Wang, Songheng Zhang, Yun Wang, Ee-Peng Lim, and Yong Wang. 2023. LLM4Vis: Explainable Visualization Recommendation using ChatGPT. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 675–692, Singapore. Association for Computational Linguistics."
stanceosaurus_classifying_stance_towards_multicultural_misinformation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pmaes_promptmapping_contrastive_learning_for_crossprompt_automated_essay_scoring,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
understanding_the_language_of_political_agreement_and_disagreement_in_legislative_texts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
discriminating_rhetorical_analogies_in_social_media,April,2014.0,EACL,https://aclanthology.org/E14-1059,lofi-etal-2014-discriminating,"Christoph Lofi, Christian Nieke, and Nigel Collier. 2014. Discriminating Rhetorical Analogies in Social Media. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 560–568, Gothenburg, Sweden. Association for Computational Linguistics."
preventing_critical_scoring_errors_in_short_answer_scoring_with_confidence_estimation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
agrank_augmented_graphbased_unsupervised_keyphrase_extraction,November,2022.0,,https://aclanthology.org/2022.aacl-main.19,ding-luo-2022-agrank,"Haoran Ding and Xiao Luo. 2022. AGRank: Augmented Graph-based Unsupervised Keyphrase Extraction. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 230–239, Online only. Association for Computational Linguistics."
finding_universal_grammatical_relations_in_multilingual_bert,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
is_machine_translation_getting_better_over_time,April,2014.0,EACL,https://aclanthology.org/E14-1047,graham-etal-2014-machine,"Yvette Graham, Timothy Baldwin, Alistair Moffat, and Justin Zobel. 2014. Is Machine Translation Getting Better over Time?. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 443–451, Gothenburg, Sweden. Association for Computational Linguistics."
selfsupervised_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_supervised_and_unsupervised_rewards_in_machine_translation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.164,ive-etal-2021-exploring,"Julia Ive, Zixu Wang, Marina Fomicheva, and Lucia Specia. 2021. Exploring Supervised and Unsupervised Rewards in Machine Translation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1908–1920, Online. Association for Computational Linguistics."
vacaspati_a_diverse_corpus_of_bangla_literature,November,2023.0,,https://aclanthology.org/2023.ijcnlp-main.72,bhattacharyya-etal-2023-vacaspati,"Pramit Bhattacharyya, Joydeep Mondal, Subhadip Maji, and Arnab Bhattacharya. 2023. VACASPATI: A Diverse Corpus of Bangla Literature. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1118–1130, Nusa Dua, Bali. Association for Computational Linguistics."
exploring_word_usage_change_with_continuously_evolving_embeddings,August,2021.0,,https://aclanthology.org/2021.acl-demo.35,horn-2021-exploring,"Franziska Horn. 2021. Exploring Word Usage Change with Continuously Evolving Embeddings. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations, pages 290–297, Online. Association for Computational Linguistics."
augmenting_zeroshot_dense_retrievers_with_plugin_mixtureofmemories,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
abstractive_summarization_guided_by_latent_hierarchical_document_structure,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
expanding_pretrained_models_to_thousands_more_languages_via_lexiconbased_adaptation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
promptbased_zeroshot_text_classification_with_conceptual_knowledge,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_unified_encoderdecoder_framework_with_entity_memory,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dialectrobust_evaluation_of_generated_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
memex_detecting_explanatory_evidence_for_memes_via_knowledgeenriched_contextualization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multisource_crosslingual_model_transfer_learning_what_to_share,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fair_without_leveling_down_a_new_intersectional_fairness_definition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
orthogonal_relation_transforms_with_graph_context_modeling_for_knowledge_graph_embedding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
autoencoder_as_assistant_supervisor_improving_text_representation_for_chinese_social_media_text_summarization,July,2018.0,ACL,https://aclanthology.org/P18-2115,ma-etal-2018-autoencoder,"Shuming Ma, Xu Sun, Junyang Lin, and Houfeng Wang. 2018. Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 725–731, Melbourne, Australia. Association for Computational Linguistics."
opendomain_video_commentary_generation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.495,marrese-taylor-etal-2022-open,"Edison Marrese-Taylor, Yumi Hamazono, Tatsuya Ishigaki, Goran Topić, Yusuke Miyao, Ichiro Kobayashi, and Hiroya Takamura. 2022. Open-domain Video Commentary Generation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7326–7339, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
modeling_discriminative_representations_for_outofdomain_detection_with_supervised_contrastive_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_representationlevel_augmentation_for_code_search,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.327,li-etal-2022-exploring-representation,"Haochen Li, Chunyan Miao, Cyril Leung, Yanxian Huang, Yuan Huang, Hongyu Zhang, and Yanlin Wang. 2022. Exploring Representation-level Augmentation for Code Search. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4924–4936, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
centering_the_speech_community,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.50,bird-yibarbuk-2024-centering,"Steven Bird and Dean Yibarbuk. 2024. Centering the Speech Community. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 826–839, St. Julian’s, Malta. Association for Computational Linguistics."
gradient_ascent_posttraining_enhances_language_model_generalization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
covid19_and_misinformation_a_largescale_lexical_analysis_on_twitter,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lnnel_a_neurosymbolic_approach_to_shorttext_entity_linking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
out_of_the_echo_chamber_detecting_countering_debate_speeches,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_corpus_aware_language_model_pretraining_for_dense_passage_retrieval,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modeling_hierarchical_syntax_structure_with_triplet_position_for_source_code_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
explainability_and_hate_speech_structured_explanations_make_social_media_moderators_faster,August,2024.0,ACL,https://aclanthology.org/2024.acl-short.38,calabrese-etal-2024-explainability,"Agostina Calabrese, Leonardo Neves, Neil Shah, Maarten Bos, Björn Ross, Mirella Lapata, and Francesco Barbieri. 2024. Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 398–408, Bangkok, Thailand. Association for Computational Linguistics."
direct_fact_retrieval_from_knowledge_graphs_without_entity_linking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dynamic_knowledgebase_alignment_for_coreference_resolution,August,2013.0,CoNLL,https://aclanthology.org/W13-3517,zheng-etal-2013-dynamic,"Jiaping Zheng, Luke Vilnis, Sameer Singh, Jinho D. Choi, and Andrew McCallum. 2013. Dynamic Knowledge-Base Alignment for Coreference Resolution. In Proceedings of the Seventeenth Conference on Computational Natural Language Learning, pages 153–162, Sofia, Bulgaria. Association for Computational Linguistics."
a_dashboard_for_mitigating_the_covid19_misinfodemic,April,2021.0,EACL,https://aclanthology.org/2021.eacl-demos.12,zhu-etal-2021-dashboard,"Zhengyuan Zhu, Kevin Meng, Josue Caraballo, Israa Jaradat, Xiao Shi, Zeyu Zhang, Farahnaz Akrami, Haojin Liao, Fatma Arslan, Damian Jimenez, Mohanmmed Samiul Saeef, Paras Pathak, and Chengkai Li. 2021. A Dashboard for Mitigating the COVID-19 Misinfodemic. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 99–105, Online. Association for Computational Linguistics."
conversation_understanding_using_relational_temporal_graph_neural_networks_with_auxiliary_crossmodality_interaction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
did_the_model_understand_the_question,July,2018.0,ACL,https://aclanthology.org/P18-1176,mudrakarta-etal-2018-model,"Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, and Kedar Dhamdhere. 2018. Did the Model Understand the Question?. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1896–1906, Melbourne, Australia. Association for Computational Linguistics."
chinese_coreference_resolution_via_ordered_filtering,July,2012.0,CoNLL,https://aclanthology.org/W12-4510,zhang-etal-2012-chinese,"Xiaotian Zhang, Chunyang Wu, and Hai Zhao. 2012. Chinese Coreference Resolution via Ordered Filtering. In Joint Conference on EMNLP and CoNLL - Shared Task, pages 95–99, Jeju Island, Korea. Association for Computational Linguistics."
debiasing_masks_a_new_framework_for_shortcut_mitigation_in_nlu,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.517,meissner-etal-2022-debiasing,"Johannes Mario Meissner, Saku Sugawara, and Akiko Aizawa. 2022. Debiasing Masks: A New Framework for Shortcut Mitigation in NLU. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7607–7613, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
sentiment_classification_using_document_embeddings_trained_with_cosine_similarity,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
simmcvr_a_taskoriented_multimodal_dialog_dataset_with_situated_and_immersive_vr_streams,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
commonsenseaugmented_memory_construction_and_management_in_longterm_conversations_via_contextaware_persona_refinement,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.11,kim-etal-2024-commonsense,"Hana Kim, Kai Ong, Seoyeon Kim, Dongha Lee, and Jinyoung Yeo. 2024. Commonsense-augmented Memory Construction and Management in Long-term Conversations via Context-aware Persona Refinement. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 104–123, St. Julian’s, Malta. Association for Computational Linguistics."
surug_at_the_conllsigmorphon_2017_shared_task_morphological_inflection_with_attentional_sequencetosequence_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cstance_a_large_dataset_for_chinese_zeroshot_stance_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
clinical_reading_comprehension_a_thorough_analysis_of_the_emrqa_dataset,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
spurious_correlations_in_referencefree_evaluation_of_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
retrievalaugmented_generative_question_answering_for_event_argument_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modeling_affirmative_and_negated_action_processing_in_the_brain_with_lexical_and_compositional_semantic_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
categorizing_unknown_words_using_decision_trees_to_identify_names_and_misspellings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modelling_salient_features_as_directions_in_finetuned_semantic_spaces,October,2018.0,CoNLL,https://aclanthology.org/K18-1051,ager-etal-2018-modelling,"Thomas Ager, Ondřej Kuželka, and Steven Schockaert. 2018. Modelling Salient Features as Directions in Fine-Tuned Semantic Spaces. In Proceedings of the 22nd Conference on Computational Natural Language Learning, pages 530–540, Brussels, Belgium. Association for Computational Linguistics."
metafill_text_infilling_for_metapath_generation_on_heterogeneous_information_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hierarchical_multilabel_classification_of_scientific_documents,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.610,sadat-caragea-2022-hierarchical,"Mobashir Sadat and Cornelia Caragea. 2022. Hierarchical Multi-Label Classification of Scientific Documents. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8923–8937, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
relationaware_collaborative_learning_for_unified_aspectbased_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
how_low_is_too_low_a_computational_perspective_on_extremely_lowresource_languages,August,2021.0,,https://aclanthology.org/2021.acl-srw.5,bansal-etal-2021-low,"Rachit Bansal, Himanshu Choudhary, Ravneet Punia, Niko Schenk, Émilie Pagé-Perron, and Jacob Dahl. 2021. How Low is Too Low? A Computational Perspective on Extremely Low-Resource Languages. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop, pages 44–59, Online. Association for Computational Linguistics."
towards_a_decomposable_metric_for_explainable_evaluation_of_text_generation_from_amr,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.129,opitz-frank-2021-towards,"Juri Opitz and Anette Frank. 2021. Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1504–1518, Online. Association for Computational Linguistics."
interactive_texttosql_generation_via_editable_stepbystep_explanations,September,1969.0,COLING,https://aclanthology.org/C69-3701,woolley-1969-automatic,"G. H. Woolley. 1969. Automatic Text Generation. In International Conference on Computational Linguistics COLING 1969: Preprint No. 37, Sånga Säby, Sweden."
a_neural_architecture_for_automated_icd_coding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
seeking_diverse_reasoning_logic_controlled_equation_expression_generation_for_solving_math_word_problems,November,2022.0,,https://aclanthology.org/2022.aacl-short.32,shen-etal-2022-seeking,"Yibin Shen, Qianying Liu, Zhuoyuan Mao, Zhen Wan, Fei Cheng, and Sadao Kurohashi. 2022. Seeking Diverse Reasoning Logic: Controlled Equation Expression Generation for Solving Math Word Problems. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 254–260, Online only. Association for Computational Linguistics."
contextaware_neural_machine_translation_learns_anaphora_resolution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generating_benchmarks_for_factuality_evaluation_of_language_models,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.4,muhlgay-etal-2024-generating,"Dor Muhlgay, Ori Ram, Inbal Magar, Yoav Levine, Nir Ratner, Yonatan Belinkov, Omri Abend, Kevin Leyton-Brown, Amnon Shashua, and Yoav Shoham. 2024. Generating Benchmarks for Factuality Evaluation of Language Models. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 49–66, St. Julian’s, Malta. Association for Computational Linguistics."
hydrasum_disentangling_style_features_in_text_summarization_with_multidecoder_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semantically_equivalent_adversarial_rules_for_debugging_nlp_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
beyond_offline_mapping_learning_crosslingual_word_embeddings_through_context_anchoring,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fast_and_accurate_deep_bidirectional_language_representations_for_unsupervised_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
logic_against_bias_textual_entailment_mitigates_stereotypical_sentence_reasoning,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.89,luo-glass-2023-logic,"Hongyin Luo and James Glass. 2023. Logic Against Bias: Textual Entailment Mitigates Stereotypical Sentence Reasoning. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1243–1254, Dubrovnik, Croatia. Association for Computational Linguistics."
unsupervised_contrastconsistent_ranking_with_language_models,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.54,stoehr-etal-2024-unsupervised,"Niklas Stoehr, Pengxiang Cheng, Jing Wang, Daniel Preotiuc-Pietro, and Rajarshi Bhowmik. 2024. Unsupervised Contrast-Consistent Ranking with Language Models. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 900–914, St. Julian’s, Malta. Association for Computational Linguistics."
can_a_transformer_pass_the_wug_test_tuning_copying_bias_in_neural_morphological_inflection_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
targer_neural_argument_mining_at_your_fingertips,July,2019.0,ACL,https://aclanthology.org/P19-3031,chernodub-etal-2019-targer,"Artem Chernodub, Oleksiy Oliynyk, Philipp Heidenreich, Alexander Bondarenko, Matthias Hagen, Chris Biemann, and Alexander Panchenko. 2019. TARGER: Neural Argument Mining at Your Fingertips. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 195–200, Florence, Italy. Association for Computational Linguistics."
retrievalenhanced_adversarial_training_for_neural_response_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_faithfully_interpretable_nlp_systems_how_should_we_define_and_evaluate_faithfulness,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nli4ct_multievidence_natural_language_inference_for_clinical_trial_reports,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.1041,jullien-etal-2023-nli4ct,"Mael Jullien, Marco Valentino, Hannah Frost, Paul O’Regan, Dónal Landers, and Andre Freitas. 2023. NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16745–16764, Singapore. Association for Computational Linguistics."
the_durel_annotation_tool_human_and_computational_measurement_of_semantic_proximity_sense_clusters_and_semantic_change,March,2024.0,EACL,https://aclanthology.org/2024.eacl-demo.15,schlechtweg-etal-2024-durel,"Dominik Schlechtweg, Shafqat Mumtaz Virk, Pauline Sander, Emma Sköldberg, Lukas Theuer Linke, Tuo Zhang, Nina Tahmasebi, Jonas Kuhn, and Sabine Schulte Im Walde. 2024. The DURel Annotation Tool: Human and Computational Measurement of Semantic Proximity, Sense Clusters and Semantic Change. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 137–149, St. Julians, Malta. Association for Computational Linguistics."
predicateargument_based_biencoder_for_paraphrase_identification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
syntopical_graphs_for_computational_argumentation_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
representing_elmo_embeddings_as_twodimensional_text_online,April,2021.0,EACL,https://aclanthology.org/2021.eacl-demos.18,kutuzov-kuzmenko-2021-representing,"Andrey Kutuzov and Elizaveta Kuzmenko. 2021. Representing ELMo embeddings as two-dimensional text online. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 143–148, Online. Association for Computational Linguistics."
dual_cache_for_long_document_neural_coreference_resolution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_inside_story_towards_better_understanding_of_machine_translation_neural_evaluation_metrics,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
discourse_sense_classification_from_scratch_using_focused_rnns,August,2016.0,CoNLL,https://aclanthology.org/K16-2006,weiss-bajec-2016-discourse,"Gregor Weiss and Marko Bajec. 2016. Discourse Sense Classification from Scratch using Focused RNNs. In Proceedings of the CoNLL-16 shared task, pages 50–54, Berlin, Germany. Association for Computational Linguistics."
upcycle_your_ocr_reusing_ocrs_for_postocr_text_correction_in_romanised_sanskrit,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
logic_traps_in_evaluating_attribution_scores,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
through_the_looking_glass_learning_to_attribute_synthetic_text_generated_by_language_models,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.155,munir-etal-2021-looking,"Shaoor Munir, Brishna Batool, Zubair Shafiq, Padmini Srinivasan, and Fareed Zaffar. 2021. Through the Looking Glass: Learning to Attribute Synthetic Text Generated by Language Models. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1811–1822, Online. Association for Computational Linguistics."
efficient_secondorder_treecrf_for_neural_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
assist_nonnative_viewers_multimodal_crosslingual_summarization_for_how2_videos,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.468,liu-etal-2022-assist,"Nayu Liu, Kaiwen Wei, Xian Sun, Hongfeng Yu, Fanglong Yao, Li Jin, Guo Zhi, and Guangluan Xu. 2022. Assist Non-native Viewers: Multimodal Cross-Lingual Summarization for How2 Videos. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6959–6969, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
hypercore_hyperbolic_and_cograph_representation_for_automatic_icd_coding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
inducing_grammar_from_long_shortterm_memory_networks_by_shapley_decomposition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_joint_model_for_dropped_pronoun_recovery_and_conversational_discourse_parsing_in_chinese_conversational_speech,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
predicting_text_readability_from_scrolling_interactions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_joint_syntactic_and_semantic_dependency_parsing_system_based_on_maximum_entropy_models,June,2009.0,CoNLL,https://aclanthology.org/W09-1217,tang-etal-2009-joint,"Buzhou Tang, Lu Li, Xinxin Li, Xuan Wang, and Xiaolong Wang. 2009. A Joint Syntactic and Semantic Dependency Parsing System based on Maximum Entropy Models. In Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL 2009): Shared Task, pages 109–113, Boulder, Colorado. Association for Computational Linguistics."
embedding_strategies_for_specialized_domains_application_to_clinical_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_improving_neural_named_entity_recognition_with_gazetteers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
extractive_summarization_as_text_matching,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
languageagnostic_bert_sentence_embedding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dynamic_memory_induction_networks_for_fewshot_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dial2vec_selfguided_contrastive_learning_of_unsupervised_dialogue_embeddings,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.490,liu-etal-2022-dial2vec,"Che Liu, Rui Wang, Junfeng Jiang, Yongbin Li, and Fei Huang. 2022. Dial2vec: Self-Guided Contrastive Learning of Unsupervised Dialogue Embeddings. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7272–7282, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
closing_the_gap_joint_deidentification_and_concept_extraction_in_the_clinical_domain,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
clinical_text_anonymization_its_influence_on_downstream_nlp_tasks_and_the_risk_of_reidentification,May,2023.0,EACL,https://aclanthology.org/2023.eacl-srw.11,ben-cheikh-larbi-etal-2023-clinical,"Iyadh Ben Cheikh Larbi, Aljoscha Burchardt, and Roland Roller. 2023. Clinical Text Anonymization, its Influence on Downstream NLP Tasks and the Risk of Re-Identification. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 105–111, Dubrovnik, Croatia. Association for Computational Linguistics."
conversational_semantic_parsing_using_dynamic_context_graphs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
torchstruct_deep_structured_prediction_library,July,2020.0,ACL,https://aclanthology.org/2020.acl-demos.38,rush-2020-torch,"Alexander Rush. 2020. Torch-Struct: Deep Structured Prediction Library. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 335–342, Online. Association for Computational Linguistics."
psycholinguistic_models_of_sentence_processing_improve_sentence_readability_ranking,April,2017.0,EACL,https://aclanthology.org/E17-1090,howcroft-demberg-2017-psycholinguistic,"David M. Howcroft and Vera Demberg. 2017. Psycholinguistic Models of Sentence Processing Improve Sentence Readability Ranking. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 958–968, Valencia, Spain. Association for Computational Linguistics."
algorithms_for_acyclic_weighted_finitestate_automata_with_failure_arcs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dureader_robust_a_chinese_dataset_towards_evaluating_robustness_and_generalization_of_machine_reading_comprehension_in_realworld_applications,August,2021.0,,https://aclanthology.org/2021.acl-short.120,tang-etal-2021-dureader,"Hongxuan Tang, Hongyu Li, Jing Liu, Yu Hong, Hua Wu, and Haifeng Wang. 2021. DuReader_robust: A Chinese Dataset Towards Evaluating Robustness and Generalization of Machine Reading Comprehension in Real-World Applications. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 955–963, Online. Association for Computational Linguistics."
a_news_story_categorization_system,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
retrievalenhanced_dual_encoder_training_for_product_matching,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
wordart_designer_userdriven_artistic_typography_synthesis_using_large_language_models,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.23,he-etal-2023-wordart,"Jun-Yan He, Zhi-Qi Cheng, Chenyang Li, Jingdong Sun, Wangmeng Xiang, Xianhui Lin, Xiaoyang Kang, Zengke Jin, Yusen Hu, Bin Luo, Yifeng Geng, and Xuansong Xie. 2023. WordArt Designer: User-Driven Artistic Typography Synthesis using Large Language Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 223–232, Singapore. Association for Computational Linguistics."
a_systematic_search_for_compound_semantics_in_pretrained_bert_architectures,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
shironaam_bengali_news_headline_generation_using_auxiliary_information,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.4,akash-etal-2023-shironaam,"Abu Ubaida Akash, Mir Tafseer Nayeem, Faisal Tareque Shohan, and Tanvir Islam. 2023. Shironaam: Bengali News Headline Generation using Auxiliary Information. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 52–67, Dubrovnik, Croatia. Association for Computational Linguistics."
constituency_parsing_with_a_selfattentive_encoder,July,2018.0,ACL,https://aclanthology.org/P18-1249,kitaev-klein-2018-constituency,"Nikita Kitaev and Dan Klein. 2018. Constituency Parsing with a Self-Attentive Encoder. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2676–2686, Melbourne, Australia. Association for Computational Linguistics."
extracting_molecular_binding_relationships_from_biomedical_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
alignmentaugmented_consistent_translation_for_multilingual_open_information_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
whats_different_between_visual_question_answering_for_machine_understanding_versus_for_accessibility,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_tale_of_two_perplexities_sensitivity_of_neural_language_models_to_lexical_retrieval_deficits_in_dementia_of_the_alzheimers_type,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rumor_detection_on_social_media_with_crowd_intelligence_and_chatgptassisted_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reduce__attribute_twostep_authorship_attribution_for_largescale_problems,November,2019.0,CoNLL,https://aclanthology.org/K19-1089,tschuggnall-etal-2019-reduce,"Michael Tschuggnall, Benjamin Murauer, and Günther Specht. 2019. Reduce & Attribute: Two-Step Authorship Attribution for Large-Scale Problems. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 951–960, Hong Kong, China. Association for Computational Linguistics."
translatetrain_embracing_translationese_artifacts,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.40,yu-etal-2022-translate,"Sicheng Yu, Qianru Sun, Hao Zhang, and Jing Jiang. 2022. Translate-Train Embracing Translationese Artifacts. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 362–370, Dublin, Ireland. Association for Computational Linguistics."
linear_text_segmentation_using_a_dynamic_programming_algorithm,April,2003.0,EACL,https://aclanthology.org/E03-1058,kehagias-etal-2003-linear,"Athanasios Kehagias, Pavlina Fragkou, and Vassilios Petridis. 2003. Linear Text Segmentation using a Dynamic Programming Algorithm. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
evaluating_the_reliability_and_interaction_of_recursively_used_feature_classes_for_terminology_extraction,April,2017.0,EACL,https://aclanthology.org/E17-4012,hatty-etal-2017-evaluating,"Anna Hätty, Michael Dorna, and Sabine Schulte im Walde. 2017. Evaluating the Reliability and Interaction of Recursively Used Feature Classes for Terminology Extraction. In Proceedings of the Student Research Workshop at the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 113–121, Valencia, Spain. Association for Computational Linguistics."
hegel_hypergraph_transformer_for_long_document_summarization,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.692,zhang-etal-2022-hegel,"Haopeng Zhang, Xiao Liu, and Jiawei Zhang. 2022. HEGEL: Hypergraph Transformer for Long Document Summarization. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10167–10176, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
probabilistic_robustness_for_data_filtering,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.214,yu-etal-2023-probabilistic,"Yu Yu, Abdul Rafae Khan, Shahram Khadivi, and Jia Xu. 2023. Probabilistic Robustness for Data Filtering. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2950–2959, Dubrovnik, Croatia. Association for Computational Linguistics."
3drpnet_3d_relative_positionaware_network_for_3d_visual_grounding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
so_different_yet_so_alike_constrained_unsupervised_text_style_transfer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mismatch_between_multiturn_dialogue_and_its_evaluation_metric_in_dialogue_state_tracking,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.33,kim-etal-2022-mismatch,"Takyoung Kim, Hoonsang Yoon, Yukyung Lee, Pilsung Kang, and Misuk Kim. 2022. Mismatch between Multi-turn Dialogue and its Evaluation Metric in Dialogue State Tracking. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 297–309, Dublin, Ireland. Association for Computational Linguistics."
construction_of_a_chinese_corpus_for_the_analysis_of_the_emotionality_of_metaphorical_expressions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
continually_improving_extractive_qa_via_human_feedback,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
contextualized_sparse_representations_for_realtime_opendomain_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
user_participation_prediction_in_online_forums,April,2012.0,EACL,https://aclanthology.org/E12-1037,qu-liu-2012-user,"Zhonghua Qu and Yang Liu. 2012. User Participation Prediction in Online Forums. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 367–376, Avignon, France. Association for Computational Linguistics."
tagging_and_morphological_disambiguation_of_turkish_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mitigating_label_biases_for_incontext_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
making_transformers_solve_compositional_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
large_language_models_only_pass_primary_school_exams_in_indonesia_a_comprehensive_test_on_indommlu,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.760,koto-etal-2023-large,"Fajri Koto, Nurul Aisyah, Haonan Li, and Timothy Baldwin. 2023. Large Language Models Only Pass Primary School Exams in Indonesia: A Comprehensive Test on IndoMMLU. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12359–12374, Singapore. Association for Computational Linguistics."
knowledge_is_power_constructing_knowledge_graph_of_abdominal_organs_and_using_them_for_automatic_radiology_report_generation,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.2,kale-etal-2023-knowledge,"Kaveri Kale, Pushpak Bhattacharyya, Aditya Shetty, Milind Gune, Kush Shrivastava, Rustom Lawyer, and Spriha Biswas. 2023. “Knowledge is Power”: Constructing Knowledge Graph of Abdominal Organs and Using Them for Automatic Radiology Report Generation. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 11–24, Toronto, Canada. Association for Computational Linguistics."
exemplar_encoderdecoder_for_neural_conversation_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mplug_effective_and_efficient_visionlanguage_learning_by_crossmodal_skipconnections,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dsm_question_generation_over_knowledge_base_via_modeling_diverse_subgraphs_with_metalearner,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
discourse_representation_parsing_for_sentences_and_documents,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
abcd_a_graph_framework_to_convert_complex_sentences_to_a_covering_set_of_simple_sentences,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_machine_translation_with_hyperadapters,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.77,baziotis-etal-2022-multilingual,"Christos Baziotis, Mikel Artetxe, James Cross, and Shruti Bhosale. 2022. Multilingual Machine Translation with Hyper-Adapters. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1170–1185, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
towards_modeling_roleaware_centrality_for_dialogue_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
peftdebias__capturing_debiasing_information_using_pefts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generating_sentences_from_a_continuous_space,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gameqa_gamified_mobile_app_platform_for_building_multipledomain_questionanswering_datasets,May,2020.0,LREC,https://aclanthology.org/2020.lrec-1.876,ogawa-etal-2020-gamification,"Haruna Ogawa, Hitoshi Nishikawa, Takenobu Tokunaga, and Hikaru Yokono. 2020. Gamification Platform for Collecting Task-oriented Dialogue Data. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 7084–7093, Marseille, France. European Language Resources Association."
disfluency_correction_using_unsupervised_and_semisupervised_learning,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.299,saini-etal-2021-disfluency,"Nikhil Saini, Drumil Trivedi, Shreya Khare, Tejas Dhamecha, Preethi Jyothi, Samarth Bharadwaj, and Pushpak Bhattacharyya. 2021. Disfluency Correction using Unsupervised and Semi-supervised Learning. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3421–3427, Online. Association for Computational Linguistics."
endtoend_reinforcement_learning_for_automatic_taxonomy_induction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatic_creation_of_arabic_named_entity_annotated_corpus_using_wikipedia,April,2014.0,EACL,https://aclanthology.org/E14-3012,althobaiti-etal-2014-automatic,"Maha Althobaiti, Udo Kruschwitz, and Massimo Poesio. 2014. Automatic Creation of Arabic Named Entity Annotated Corpus Using Wikipedia. In Proceedings of the Student Research Workshop at the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 106–115, Gothenburg, Sweden. Association for Computational Linguistics."
towards_a_common_understanding_of_contributing_factors_for_crosslingual_transfer_in_multilingual_language_models_a_review,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
quantifying_similarity_between_relations_with_fact_distribution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_grammatical_error_correction_systems_with_explanations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bridging_the_structural_gap_between_encoding_and_decoding_for_datatotext_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hyperbolic_capsule_networks_for_multilabel_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dialoguecrn_contextual_reasoning_networks_for_emotion_recognition_in_conversations,August,2021.0,,https://aclanthology.org/2021.acl-long.547,hu-etal-2021-dialoguecrn,"Dou Hu, Lingwei Wei, and Xiaoyong Huai. 2021. DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 7042–7052, Online. Association for Computational Linguistics."
accented_speech_recognition_with_accentspecific_codebooks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
distantly_supervised_course_concept_extraction_in_moocs_with_academic_discipline,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semgraph_incorporating_sentiment_knowledge_and_eye_movement_into_graph_model_for_sentiment_analysis,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.510,wang-etal-2022-semgraph,"Bingbing Wang, Bin Liang, Jiachen Du, Min Yang, and Ruifeng Xu. 2022. SEMGraph: Incorporating Sentiment Knowledge and Eye Movement into Graph Model for Sentiment Analysis. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7521–7531, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
bridgebased_active_domain_adaptation_for_aspect_term_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
discovering_implicit_discourse_relations_through_brown_cluster_pair_representation_and_coreference_patterns,April,2014.0,EACL,https://aclanthology.org/E14-1068,rutherford-xue-2014-discovering,"Attapol Rutherford and Nianwen Xue. 2014. Discovering Implicit Discourse Relations Through Brown Cluster Pair Representation and Coreference Patterns. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 645–654, Gothenburg, Sweden. Association for Computational Linguistics."
taskaware_specialization_for_efficient_and_robust_dense_retrieval_for_opendomain_question_answering,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.159,cheng-etal-2023-task,"Hao Cheng, Hao Fang, Xiaodong Liu, and Jianfeng Gao. 2023. Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1864–1875, Toronto, Canada. Association for Computational Linguistics."
experiments_with_a_higherorder_projective_dependency_parser,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
soft_representation_learning_for_sparse_transfer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modeling_bilingual_conversational_characteristics_for_neural_chat_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
loa_logical_optimal_actions_for_textbased_interaction_games,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
are_natural_language_inference_models_imppressive_learning_implicature_and_presupposition,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.768,jeretic-etal-2020-natural,"Paloma Jeretic, Alex Warstadt, Suvrat Bhooshan, and Adina Williams. 2020. Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8690–8705, Online. Association for Computational Linguistics."
an_empirical_study_of_building_a_strong_baseline_for_constituency_parsing,July,2018.0,ACL,https://aclanthology.org/P18-2097,suzuki-etal-2018-empirical,"Jun Suzuki, Sho Takase, Hidetaka Kamigaito, Makoto Morishita, and Masaaki Nagata. 2018. An Empirical Study of Building a Strong Baseline for Constituency Parsing. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 612–618, Melbourne, Australia. Association for Computational Linguistics."
the_knowref_coreference_corpus_removing_gender_and_number_cues_for_difficult_pronominal_anaphora_resolution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_exploratory_study_on_multilingual_quality_estimation,December,2020.0,AACL,https://aclanthology.org/2020.aacl-main.39,sun-etal-2020-exploratory,"Shuo Sun, Marina Fomicheva, Frédéric Blain, Vishrav Chaudhary, Ahmed El-Kishky, Adithya Renduchintala, Francisco Guzmán, and Lucia Specia. 2020. An Exploratory Study on Multilingual Quality Estimation. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, pages 366–377, Suzhou, China. Association for Computational Linguistics."
detecting_scenes_in_fiction_a_new_segmentation_task,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hierarchical_phrasebased_translation_with_suffix_arrays,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
to_what_extent_does_sentenceinternal_realisation_reflect_discourse_context_a_study_on_word_order,April,2012.0,EACL,https://aclanthology.org/E12-1078,zarriess-etal-2012-extent,"Sina Zarrieß, Aoife Cahill, and Jonas Kuhn. 2012. To what extent does sentence-internal realisation reflect discourse context? A study on word order. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 767–776, Avignon, France. Association for Computational Linguistics."
the_role_of_typological_feature_prediction_in_nlp_and_linguistics,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
corpus_creation_and_analysis_for_named_entity_recognition_in_teluguenglish_codemixed_social_media_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
when_language_models_fall_in_love_animacy_processing_in_transformer_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_parallel_meaning_bank_towards_a_multilingual_corpus_of_translations_annotated_with_compositional_meaning_representations,April,2017.0,EACL,https://aclanthology.org/E17-2039,abzianidze-etal-2017-parallel,"Lasha Abzianidze, Johannes Bjerva, Kilian Evang, Hessel Haagsma, Rik van Noord, Pierre Ludmann, Duc-Duy Nguyen, and Johan Bos. 2017. The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 242–247, Valencia, Spain. Association for Computational Linguistics."
on_the_compositionality_prediction_of_noun_phrases_using_poincaré_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
umchecker_a_hybrid_system_for_english_grammatical_error_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
extracting_aspectevaluation_and_aspectof_relations_in_opinion_mining,June,2007.0,,https://aclanthology.org/D07-1114,kobayashi-etal-2007-extracting,"Nozomi Kobayashi, Kentaro Inui, and Yuji Matsumoto. 2007. Extracting Aspect-Evaluation and Aspect-Of Relations in Opinion Mining. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 1065–1074, Prague, Czech Republic. Association for Computational Linguistics."
modeling_composite_labels_for_neural_morphological_tagging,October,2018.0,CoNLL,https://aclanthology.org/K18-1036,tkachenko-sirts-2018-modeling,"Alexander Tkachenko and Kairit Sirts. 2018. Modeling Composite Labels for Neural Morphological Tagging. In Proceedings of the 22nd Conference on Computational Natural Language Learning, pages 368–379, Brussels, Belgium. Association for Computational Linguistics."
efficient_pairwise_annotation_of_argument_quality,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
extraction_of_definitions_using_grammarenhanced_machine_learning,April,2009.0,EACL,https://aclanthology.org/E09-3011,westerhout-2009-extraction,"Eline Westerhout. 2009. Extraction of Definitions Using Grammar-Enhanced Machine Learning. In Proceedings of the Student Research Workshop at EACL 2009, pages 88–96, Athens, Greece. Association for Computational Linguistics."
sentencelevel_fluency_evaluation_references_help_but_can_be_spared,October,2018.0,CoNLL,https://aclanthology.org/K18-1031,kann-etal-2018-sentence,"Katharina Kann, Sascha Rothe, and Katja Filippova. 2018. Sentence-Level Fluency Evaluation: References Help, But Can Be Spared!. In Proceedings of the 22nd Conference on Computational Natural Language Learning, pages 313–323, Brussels, Belgium. Association for Computational Linguistics."
few_shot_dialogue_state_tracking_using_metalearning,November,2024.0,EMNLP,https://aclanthology.org/2024.emnlp-main.485,dong-etal-2024-zero,"Xiaoyu Dong, Yujie Feng, Zexin Lu, Guangyuan Shi, and Xiao-Ming Wu. 2024. Zero-shot Cross-domain Dialogue State Tracking via Context-aware Auto-prompting and Instruction-following Contrastive Decoding. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 8527–8540, Miami, Florida, USA. Association for Computational Linguistics."
automatic_segmentation_of_multiparty_dialogue,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatic_icd_coding_via_interactive_shared_representation_networks_with_selfdistillation_mechanism,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_inference_calibration_of_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hyperx_a_unified_hypernetwork_for_multitask_multilingual_transfer,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.541,ustun-etal-2022-hyper,"Ahmet Üstün, Arianna Bisazza, Gosse Bouma, Gertjan van Noord, and Sebastian Ruder. 2022. Hyper-X: A Unified Hypernetwork for Multi-Task Multilingual Transfer. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7934–7949, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
an_unsupervised_dynamic_bayesian_network_approach_to_measuring_speech_style_accommodation,April,2012.0,EACL,https://aclanthology.org/E12-1080,jain-etal-2012-unsupervised,"Mahaveer Jain, John McDonough, Gahgene Gweon, Bhiksha Raj, and Carolyn Penstein Rosé. 2012. An Unsupervised Dynamic Bayesian Network Approach to Measuring Speech Style Accommodation. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 787–797, Avignon, France. Association for Computational Linguistics."
nxplain_a_webbased_tool_for_discovery_of_latent_concepts,May,2023.0,EACL,https://aclanthology.org/2023.eacl-demo.10,dalvi-etal-2023-nxplain,"Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Tamim Jaban, Mus’ab Husaini, and Ummar Abbas. 2023. NxPlain: A Web-based Tool for Discovery of Latent Concepts. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 75–83, Dubrovnik, Croatia. Association for Computational Linguistics."
syntaxguided_neural_module_distillation_to_probe_compositionality_in_sentence_embeddings,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.229,pandey-2023-syntax,"Rohan Pandey. 2023. Syntax-guided Neural Module Distillation to Probe Compositionality in Sentence Embeddings. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3143–3149, Dubrovnik, Croatia. Association for Computational Linguistics."
pick_polished_amp_informed_candidate_scoring_for_knowledgegrounded_dialogue_systems,November,2023.0,,https://aclanthology.org/2023.ijcnlp-main.63,wilie-etal-2023-pick,"Bryan Wilie, Yan Xu, Willy Chung, Samuel Cahyawijaya, Holy Lovenia, and Pascale Fung. 2023. PICK: Polished & Informed Candidate Scoring for Knowledge-Grounded Dialogue Systems. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 980–995, Nusa Dua, Bali. Association for Computational Linguistics."
unsupervised_paraphrasing_without_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_highprecision_approach_to_detecting_hedges_and_their_scopes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
language_models_for_lexical_inference_in_context,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.108,schmitt-schutze-2021-language,"Martin Schmitt and Hinrich Schütze. 2021. Language Models for Lexical Inference in Context. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1267–1280, Online. Association for Computational Linguistics."
document_similarity_for_texts_of_varying_lengths_via_hidden_topics,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
draftamp_verify_lossless_large_language_model_acceleration_via_selfspeculative_decoding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
stablemoe_stable_routing_strategy_for_mixture_of_experts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
incorporating_context_into_subword_vocabularies,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.45,yehezkel-pinter-2023-incorporating,"Shaked Yehezkel and Yuval Pinter. 2023. Incorporating Context into Subword Vocabularies. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 623–635, Dubrovnik, Croatia. Association for Computational Linguistics."
neural_news_recommendation_with_topicaware_news_representation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
largescale_similarity_search_with_optimal_transport,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.730,laouar-etal-2023-large,"Cléa Laouar, Yuki Takezawa, and Makoto Yamada. 2023. Large-scale similarity search with Optimal Transport. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11920–11930, Singapore. Association for Computational Linguistics."
a_good_prompt_is_worth_millions_of_parameters_lowresource_promptbased_learning_for_visionlanguage_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_coactive_learning_view_of_online_structured_prediction_in_statistical_machine_translation,July,2015.0,CoNLL,https://aclanthology.org/K15-1001,sokolov-etal-2015-coactive,"Artem Sokolov, Stefan Riezler, and Shay B. Cohen. 2015. A Coactive Learning View of Online Structured Prediction in Statistical Machine Translation. In Proceedings of the Nineteenth Conference on Computational Natural Language Learning, pages 1–11, Beijing, China. Association for Computational Linguistics."
efficient_passage_retrieval_with_hashing_for_opendomain_question_answering,August,2021.0,,https://aclanthology.org/2021.acl-short.123,yamada-etal-2021-efficient,"Ikuya Yamada, Akari Asai, and Hannaneh Hajishirzi. 2021. Efficient Passage Retrieval with Hashing for Open-domain Question Answering. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 979–986, Online. Association for Computational Linguistics."
incremental_bayesian_learning_of_semantic_categories,April,2014.0,EACL,https://aclanthology.org/E14-1027,frermann-lapata-2014-incremental,"Lea Frermann and Mirella Lapata. 2014. Incremental Bayesian Learning of Semantic Categories. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 249–258, Gothenburg, Sweden. Association for Computational Linguistics."
using_corpusderived_name_lists_for_named_entity_recognition,April,2000.0,,https://aclanthology.org/A00-1040,stevenson-gaizauskas-2000-using,"Mark Stevenson and Robert Gaizauskas. 2000. Using Corpus-derived Name Lists for Named Entity Recognition. In Sixth Applied Natural Language Processing Conference, pages 290–295, Seattle, Washington, USA. Association for Computational Linguistics."
emobank_studying_the_impact_of_annotation_perspective_and_representation_format_on_dimensional_emotion_analysis,April,2017.0,EACL,https://aclanthology.org/E17-2092,buechel-hahn-2017-emobank,"Sven Buechel and Udo Hahn. 2017. EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 578–585, Valencia, Spain. Association for Computational Linguistics."
mproto_multiprototype_network_with_denoised_optimal_transport_for_distantly_supervised_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fedlegal_the_first_realworld_federated_learning_benchmark_for_legal_nlp,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improved_language_modeling_by_decoding_the_past,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fast_full_parsing_by_linearchain_conditional_random_fields,March,2009.0,EACL,https://aclanthology.org/E09-1090,tsuruoka-etal-2009-fast,"Yoshimasa Tsuruoka, Jun’ichi Tsujii, and Sophia Ananiadou. 2009. Fast Full Parsing by Linear-Chain Conditional Random Fields. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 790–798, Athens, Greece. Association for Computational Linguistics."
measure_and_evaluation_of_semantic_divergence_across_two_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
creation_and_evaluation_of_timelines_for_longitudinal_user_posts,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.274,hills-etal-2023-creation,"Anthony Hills, Adam Tsakalidis, Federico Nanni, Ioannis Zachos, and Maria Liakata. 2023. Creation and evaluation of timelines for longitudinal user posts. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3791–3804, Dubrovnik, Croatia. Association for Computational Linguistics."
stylistic_approaches_to_predicting_reddit_popularity_in_diglossia,August,2021.0,,https://aclanthology.org/2021.acl-srw.10,chua-2021-stylistic,"Huikai Chua. 2021. Stylistic approaches to predicting Reddit popularity in diglossia. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop, pages 93–100, Online. Association for Computational Linguistics."
decoder_tuning_efficient_language_understanding_as_decoding,July,2023.0,ACL,https://aclanthology.org/2023.acl-long.840,cui-etal-2023-decoder,"Ganqu Cui, Wentao Li, Ning Ding, Longtao Huang, Zhiyuan Liu, and Maosong Sun. 2023. Decoder Tuning: Efficient Language Understanding as Decoding. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 15072–15087, Toronto, Canada. Association for Computational Linguistics."
beyond_laurelyanny_an_autoencoderenabled_search_for_polyperceivable_audio,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
photon_a_robust_crossdomain_texttosql_system,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_corpuscentered_approach_to_spoken_language_translation,April,2003.0,EACL,https://aclanthology.org/E03-1048,sumita-etal-2003-corpus,"Eiichiro Sumita, Yasuhiro Akiba, Takao Doi, Andrew Finch, Kenji Imamura, Michael Paul, Mitsuo Shimohata, and Taro Watanabe. 2003. A corpus-centered approach to spoken language translation. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
tree_communication_models_for_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
detecting_annotation_errors_in_morphological_data_with_the_transformer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dissecting_transformer_length_extrapolation_via_the_lens_of_receptive_field_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
language_diversity_visible_to_humans_exploitable_by_machines,May,2022.0,ACL,https://aclanthology.org/2022.acl-demo.15,bella-etal-2022-language,"Gábor Bella, Erdenebileg Byambadorj, Yamini Chandrashekar, Khuyagbaatar Batsuren, Danish Cheema, and Fausto Giunchiglia. 2022. Language Diversity: Visible to Humans, Exploitable by Machines. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 156–165, Dublin, Ireland. Association for Computational Linguistics."
learning_functional_distributional_semantics_with_visual_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adapting_event_extractors_to_medical_data_bridging_the_covariate_shift,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.258,naik-etal-2021-adapting,"Aakanksha Naik, Jill Fain Lehman, and Carolyn Rose. 2021. Adapting Event Extractors to Medical Data: Bridging the Covariate Shift. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2963–2975, Online. Association for Computational Linguistics."
targeting_the_benchmark_on_methodology_in_current_natural_language_processing_research,August,2021.0,,https://aclanthology.org/2021.acl-short.85,schlangen-2021-targeting,"David Schlangen. 2021. Targeting the Benchmark: On Methodology in Current Natural Language Processing Research. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 670–674, Online. Association for Computational Linguistics."
a_stacked_voted_stacked_model_for_named_entity_recognition,,2003.0,CoNLL,https://aclanthology.org/W03-0433,wu-etal-2003-stacked,"Dekai Wu, Grace Ngai, and Marine Carpuat. 2003. A Stacked, Voted, Stacked Model for Named Entity Recognition. In Proceedings of the Seventh Conference on Natural Language Learning at HLT-NAACL 2003, pages 200–203."
on_faithfulness_and_factuality_in_abstractive_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
combining_deep_generative_models_and_multilingual_pretraining_for_semisupervised_document_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
codeanno_extending_webanno_with_hierarchical_document_level_annotation_and_automation,May,2023.0,EACL,https://aclanthology.org/2023.eacl-demo.2,schneider-etal-2023-codeanno,"Florian Schneider, Seid Muhie Yimam, Fynn Petersen-frey, Gerret Von Nordheim, Katharina Kleinen-von K”onigsl”ow, and Chris Biemann. 2023. CodeAnno: Extending WebAnno with Hierarchical Document Level Annotation and Automation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 11–17, Dubrovnik, Croatia. Association for Computational Linguistics."
detecting_and_mitigating_hallucinations_in_multilingual_summarisation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fdivergence_minimization_for_sequencelevel_knowledge_distillation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
do_massively_pretrained_language_models_make_better_storytellers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sparse_sequencetosequence_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluating_the_knowledge_dependency_of_questions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
structured_learning_for_temporal_relation_extraction_from_clinical_records,April,2017.0,EACL,https://aclanthology.org/E17-1108,leeuwenberg-moens-2017-structured,"Artuur Leeuwenberg and Marie-Francine Moens. 2017. Structured Learning for Temporal Relation Extraction from Clinical Records. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 1150–1158, Valencia, Spain. Association for Computational Linguistics."
neural_machine_translation_with_contrastive_translation_memories,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
have_llms_advanced_enough_a_challenging_problem_solving_benchmark_for_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
factkb_generalizable_factuality_evaluation_using_language_models_enhanced_with_factual_knowledge,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
verb_knowledge_injection_for_multilingual_event_processing,August,2021.0,,https://aclanthology.org/2021.acl-long.541,majewska-etal-2021-verb,"Olga Majewska, Ivan Vulić, Goran Glavaš, Edoardo Maria Ponti, and Anna Korhonen. 2021. Verb Knowledge Injection for Multilingual Event Processing. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 6952–6969, Online. Association for Computational Linguistics."
terminology_extraction_approaches_for_product_aspect_detection_in_customer_reviews,August,2013.0,CoNLL,https://aclanthology.org/W13-3524,bross-ehrig-2013-terminology,"Jürgen Broß and Heiko Ehrig. 2013. Terminology Extraction Approaches for Product Aspect Detection in Customer Reviews. In Proceedings of the Seventeenth Conference on Computational Natural Language Learning, pages 222–230, Sofia, Bulgaria. Association for Computational Linguistics."
what_makes_medical_claims_unverifiable_analyzing_entity_and_relation_properties_for_fact_verification,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.124,wuehrl-etal-2024-makes,"Amelie Wuehrl, Yarik Menchaca Resendiz, Lara Grimminger, and Roman Klinger. 2024. What Makes Medical Claims (Un)Verifiable? Analyzing Entity and Relation Properties for Fact Verification. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2046–2058, St. Julian’s, Malta. Association for Computational Linguistics."
a_mixture_of_h__1_heads_is_better_than_h_heads,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cmore_pretraining_to_answer_opendomain_questions_by_consulting_millions_of_references,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nonmonotonic_parsing_of_fluent_umm_i_mean_disfluent_sentences,April,2014.0,EACL,https://aclanthology.org/E14-4010,rasooli-tetreault-2014-non,"Mohammad Sadegh Rasooli and Joel Tetreault. 2014. Non-Monotonic Parsing of Fluent Umm I mean Disfluent Sentences. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 48–53, Gothenburg, Sweden. Association for Computational Linguistics."
gcdt_a_global_context_enhanced_deep_transition_architecture_for_sequence_labeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unirpg_unified_discrete_reasoning_over_table_and_text_as_program_generation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.508,zhou-etal-2022-unirpg,"Yongwei Zhou, Junwei Bao, Chaoqun Duan, Youzheng Wu, Xiaodong He, and Tiejun Zhao. 2022. UniRPG: Unified Discrete Reasoning over Table and Text as Program Generation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7494–7507, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
qualifier_question_answering_by_lexical_fabric_and_external_resources,April,2003.0,EACL,https://aclanthology.org/E03-1070,yang-chua-2003-qualifier,"Hui Yang and Tat-Seng Chua. 2003. QUALIFIER: Question Answering by Lexical Fabric and External Resources. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
cpl_counterfactual_prompt_learning_for_vision_and_language_models,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.224,he-etal-2022-cpl,"Xuehai He, Diji Yang, Weixi Feng, Tsu-Jui Fu, Arjun Akula, Varun Jampani, Pradyumna Narayana, Sugato Basu, William Yang Wang, and Xin Wang. 2022. CPL: Counterfactual Prompt Learning for Vision and Language Models. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3407–3418, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
an_extensive_empirical_evaluation_of_characterbased_morphological_tagging_for_14_languages,April,2017.0,EACL,https://aclanthology.org/E17-1048,heigold-etal-2017-extensive,"Georg Heigold, Guenter Neumann, and Josef van Genabith. 2017. An Extensive Empirical Evaluation of Character-Based Morphological Tagging for 14 Languages. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 505–513, Valencia, Spain. Association for Computational Linguistics."
learning_the_finegrained_information_status_of_discourse_entities,April,2012.0,EACL,https://aclanthology.org/E12-1081,rahman-ng-2012-learning,"Altaf Rahman and Vincent Ng. 2012. Learning the Fine-Grained Information Status of Discourse Entities. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 798–807, Avignon, France. Association for Computational Linguistics."
flowadapter_architecture_for_unsupervised_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
select_prompt_filter_distilling_large_language_models_for_summarizing_conversations,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.753,pham-etal-2023-select,"Minh-Quang Pham, Sathish Indurthi, Shamil Chollampatt, and Marco Turchi. 2023. Select, Prompt, Filter: Distilling Large Language Models for Summarizing Conversations. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12257–12265, Singapore. Association for Computational Linguistics."
vechr_a_dataset_for_explainable_and_robust_classification_of_vulnerability_type_in_the_european_court_of_human_rights,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.718,xu-etal-2023-vechr,"Shanshan Xu, Leon Staufer, Santosh T.y.s.s, Oana Ichim, Corina Heri, and Matthias Grabmair. 2023. VECHR: A Dataset for Explainable and Robust Classification of Vulnerability Type in the European Court of Human Rights. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11738–11752, Singapore. Association for Computational Linguistics."
wets_a_benchmark_for_translation_suggestion,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.353,yang-etal-2022-wets,"Zhen Yang, Fandong Meng, Yingxue Zhang, Ernan Li, and Jie Zhou. 2022. WeTS: A Benchmark for Translation Suggestion. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5278–5290, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
exploring_evidence_for_shallow_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
drugwatch_a_comprehensive_multisource_data_visualisation_platform_for_drug_safety_information,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_impact_of_familiarity_on_naming_variation_a_study_on_object_naming_in_mandarin_chinese,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
john_is_50_years_old_can_his_son_be_65_evaluating_nlp_models_understanding_of_feasibility,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.30,gupta-etal-2023-john,"Himanshu Gupta, Neeraj Varshney, Swaroop Mishra, Kuntal Kumar Pal, Saurabh Arjun Sawant, Kevin Scaria, Siddharth Goyal, and Chitta Baral. 2023. “John is 50 years old, can his son be 65?” Evaluating NLP Models’ Understanding of Feasibility. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 407–417, Dubrovnik, Croatia. Association for Computational Linguistics."
neural_extractive_search,August,2021.0,,https://aclanthology.org/2021.acl-demo.25,ravfogel-etal-2021-neural,"Shauli Ravfogel, Hillel Taub-Tabib, and Yoav Goldberg. 2021. Neural Extractive Search. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations, pages 210–217, Online. Association for Computational Linguistics."
gecdepend_nonautoregressive_grammatical_error_correction_with_decoupled_permutation_and_decoding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tackling_zero_pronoun_resolution_and_nonzero_coreference_resolution_jointly,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
detecting_propaganda_techniques_in_memes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
confidence_based_bidirectional_global_context_aware_training_framework_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
robut_a_systematic_study_of_table_qa_robustness_against_humanannotated_adversarial_perturbations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_problem_with_kappa,April,2012.0,EACL,https://aclanthology.org/E12-1035,powers-2012-problem,"David Martin Ward Powers. 2012. The Problem with Kappa. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 345–355, Avignon, France. Association for Computational Linguistics."
robust_transfer_learning_with_pretrained_language_models_through_adapters,August,2021.0,,https://aclanthology.org/2021.acl-short.108,han-etal-2021-robust,"Wenjuan Han, Bo Pang, and Ying Nian Wu. 2021. Robust Transfer Learning with Pretrained Language Models through Adapters. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 854–861, Online. Association for Computational Linguistics."
dynosaur_a_dynamic_growth_paradigm_for_instructiontuning_data_curation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
do_language_models_words_refer,September,2024.0,CL,https://aclanthology.org/2024.cl-3.12,mandelkern-linzen-2024-language,"Matthew Mandelkern and Tal Linzen. 2024. Do Language Models’ Words Refer?. Computational Linguistics, 50(3):1191–1200."
a_fair_and_indepth_evaluation_of_existing_endtoend_entity_linking_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
soft_layerspecific_multitask_summarization_with_entailment_and_question_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
letters_from_the_past_modeling_historical_sound_change_through_diachronic_character_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
scd_selfcontrastive_decorrelation_of_sentence_embeddings,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.44,klein-nabi-2022-scd,"Tassilo Klein and Moin Nabi. 2022. SCD: Self-Contrastive Decorrelation of Sentence Embeddings. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 394–400, Dublin, Ireland. Association for Computational Linguistics."
a_probabilistic_generative_model_for_typographical_analysis_of_early_modern_printing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
graphbased_model_generation_for_fewshot_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
align_and_augment_generative_data_augmentation_for_compositional_generalization,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.22,cazzaro-etal-2024-align,"Francesco Cazzaro, Davide Locatelli, and Ariadna Quattoni. 2024. Align and Augment: Generative Data Augmentation for Compositional Generalization. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 369–383, St. Julian’s, Malta. Association for Computational Linguistics."
new_experiments_in_distributional_representations_of_synonymy,June,2005.0,CoNLL,https://aclanthology.org/W05-0604,freitag-etal-2005-new,"Dayne Freitag, Matthias Blume, John Byrnes, Edmond Chow, Sadik Kapadia, Richard Rohwer, and Zhiqiang Wang. 2005. New Experiments in Distributional Representations of Synonymy. In Proceedings of the Ninth Conference on Computational Natural Language Learning (CoNLL-2005), pages 25–32, Ann Arbor, Michigan. Association for Computational Linguistics."
coguiding_net_achieving_mutual_guidances_between_multiple_intent_detection_and_slot_filling_via_heterogeneous_semanticslabel_graphs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_expression_tree_decoding_strategy_for_mathematical_equation_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cogenthelp_nlg_meets_se_in_a_tool_for_authoring_dynamically_generated_online_help,March,1997.0,ANLP,https://aclanthology.org/A97-1038,white-caldwell-1997-cogenthelp,"Michael White and David E. Caldwell. 1997. CogentHelp: NLG meets SE in a tool for authoring dynamically generated on-line help. In Fifth Conference on Applied Natural Language Processing, pages 257–264, Washington, DC, USA. Association for Computational Linguistics."
exploreinstruct_enhancing_domainspecific_instruction_coverage_through_active_exploration,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
xamr_annotation_tool,March,2024.0,EACL,https://aclanthology.org/2024.eacl-demo.19,ahmed-etal-2024-x,"Shafiuddin Rehan Ahmed, Jon Cai, Martha Palmer, and James H. Martin. 2024. X-AMR Annotation Tool. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 177–186, St. Julians, Malta. Association for Computational Linguistics."
deeprapper_neural_rap_generation_with_rhyme_and_rhythm_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pacific_towards_proactive_conversational_question_answering_over_tabular_and_textual_data_in_finance,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.469,deng-etal-2022-pacific,"Yang Deng, Wenqiang Lei, Wenxuan Zhang, Wai Lam, and Tat-Seng Chua. 2022. PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6970–6984, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
bart_goes_multilingual_the_unitn__essex_submission_to_the_conll2012_shared_task,July,2012.0,CoNLL,https://aclanthology.org/W12-4515,uryupina-etal-2012-bart,"Olga Uryupina, Alessandro Moschitti, and Massimo Poesio. 2012. BART goes multilingual: The UniTN / Essex submission to the CoNLL-2012 Shared Task. In Joint Conference on EMNLP and CoNLL - Shared Task, pages 122–128, Jeju Island, Korea. Association for Computational Linguistics."
collaborative_machine_translation_service_for_scientific_texts,April,2012.0,EACL,https://aclanthology.org/E12-2003,lambert-etal-2012-collaborative,"Patrik Lambert, Jean Senellart, Laurent Romary, Holger Schwenk, Florian Zipser, Patrice Lopez, and Frédéric Blain. 2012. Collaborative Machine Translation Service for Scientific texts. In Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 11–15, Avignon, France. Association for Computational Linguistics."
generalising_multilingual_concepttotext_nlg_with_language_agnostic_delexicalisation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
distributed_representations_of_emotion_categories_in_emotion_space,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_molecular_representation_learning_via_contrastive_pretraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
attractive_storyteller_stylized_visual_storytelling_with_unpaired_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_picture_is_worth_a_thousand_words_language_models_plan_from_pixels,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.1025,liu-etal-2023-picture,"Anthony Liu, Lajanugen Logeswaran, Sungryull Sohn, and Honglak Lee. 2023. A Picture is Worth a Thousand Words: Language Models Plan from Pixels. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16450–16459, Singapore. Association for Computational Linguistics."
exploiting_the_entity_type_sequence_to_benefit_event_detection,November,2019.0,CoNLL,https://aclanthology.org/K19-1057,ji-etal-2019-exploiting,"Yuze Ji, Youfang Lin, Jianwei Gao, and Huaiyu Wan. 2019. Exploiting the Entity Type Sequence to Benefit Event Detection. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 613–623, Hong Kong, China. Association for Computational Linguistics."
pruning_pretrained_language_models_without_finetuning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_interpretable_latent_dialogue_actions_with_less_supervision,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_hybrid_detection_and_generation_framework_with_separate_encoders_for_event_extraction,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.231,shi-etal-2023-hybrid,"Ge Shi, Yunyue Su, Yongliang Ma, and Ming Zhou. 2023. A Hybrid Detection and Generation Framework with Separate Encoders for Event Extraction. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3163–3180, Dubrovnik, Croatia. Association for Computational Linguistics."
pictalky_augmentative_and_alternative_communication_for_language_developmental_disabilities,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adapting_event_embedding_for_implicit_discourse_relation_recognition,August,2016.0,CoNLL,https://aclanthology.org/K16-2019,pacheco-etal-2016-adapting,"Maria Leonor Pacheco, I-Ta Lee, Xiao Zhang, Abdullah Khan Zehady, Pranjal Daga, Di Jin, Ayush Parolia, and Dan Goldwasser. 2016. Adapting Event Embedding for Implicit Discourse Relation Recognition. In Proceedings of the CoNLL-16 shared task, pages 136–142, Berlin, Germany. Association for Computational Linguistics."
putting_evaluation_in_context_contextual_embeddings_improve_machine_translation_evaluation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tata_stance_detection_via_topicagnostic_and_topicaware_embeddings,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.694,hanley-durumeric-2023-tata,"Hans Hanley and Zakir Durumeric. 2023. TATA: Stance Detection via Topic-Agnostic and Topic-Aware Embeddings. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11280–11294, Singapore. Association for Computational Linguistics."
a_simple_and_effective_method_for_injecting_wordlevel_information_into_characteraware_neural_language_models,November,2019.0,CoNLL,https://aclanthology.org/K19-1086,feng-etal-2019-simple,"Yukun Feng, Hidetaka Kamigaito, Hiroya Takamura, and Manabu Okumura. 2019. A Simple and Effective Method for Injecting Word-Level Information into Character-Aware Neural Language Models. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 920–928, Hong Kong, China. Association for Computational Linguistics."
crosslingual_opendomain_question_answering_with_answer_sentence_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
explaining_black_box_predictions_and_unveiling_data_artifacts_through_influence_functions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generating_and_answering_simple_and_complex_questions_from_text_and_from_knowledge_graphs,November,2023.0,,https://aclanthology.org/2023.ijcnlp-main.19,han-gardent-2023-generating,"Kelvin Han and Claire Gardent. 2023. Generating and Answering Simple and Complex Questions from Text and from Knowledge Graphs. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 285–304, Nusa Dua, Bali. Association for Computational Linguistics."
irene_interpretable_energy_prediction_for_transformers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
it_is_ais_turn_to_ask_humans_a_question_questionanswer_pair_generation_for_childrens_story_books,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
preposition_semantic_classification_via_treebank_and_framenet,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
guiding_teacher_forcing_with_seer_forcing_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
graphtotree_learning_for_solving_math_word_problems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_dwise_tool_suite_multimodal_machinelearningpowered_tools_supporting_and_enhancing_digital_discourse_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
debiasing_pretrained_contextualised_embeddings,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.107,kaneko-bollegala-2021-debiasing,"Masahiro Kaneko and Danushka Bollegala. 2021. Debiasing Pre-trained Contextualised Embeddings. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1256–1266, Online. Association for Computational Linguistics."
towards_better_documentlevel_relation_extraction_via_iterative_inference,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.568,zhang-etal-2022-towards-better,"Liang Zhang, Jinsong Su, Yidong Chen, Zhongjian Miao, Min Zijun, Qingguo Hu, and Xiaodong Shi. 2022. Towards Better Document-level Relation Extraction via Iterative Inference. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8306–8317, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
japanese_dependency_analysis_using_cascaded_chunking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
how_is_bert_surprised_layerwise_detection_of_linguistic_anomalies,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bhasaabhijnaanam_nativescript_and_romanized_language_identification_for_22_indic_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automated_essay_scoring_with_string_kernels_and_word_embeddings,July,2018.0,ACL,https://aclanthology.org/P18-2080,cozma-etal-2018-automated,"Mădălina Cozma, Andrei Butnaru, and Radu Tudor Ionescu. 2018. Automated essay scoring with string kernels and word embeddings. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 503–509, Melbourne, Australia. Association for Computational Linguistics."
syngec_syntaxenhanced_grammatical_error_correction_with_a_tailored_gecoriented_parser,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.162,zhang-etal-2022-syngec,"Yue Zhang, Bo Zhang, Zhenghua Li, Zuyi Bao, Chen Li, and Min Zhang. 2022. SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 2518–2531, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
ragas_automated_evaluation_of_retrieval_augmented_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_embeddings_representations_for_comparing_higher_education_curricula_a_use_case_in_computing,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.776,murrugarra-llerena-etal-2022-improving,"Jeffri Murrugarra-Llerena, Fernando Alva-Manchego, and Nils Murrugarra-LLerena. 2022. Improving Embeddings Representations for Comparing Higher Education Curricula: A Use Case in Computing. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11299–11307, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
bite_textual_backdoor_attacks_with_iterative_trigger_injection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
debias_for_generative_extraction_in_unified_ner_task,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
from_segmentation_to_analyses_a_probabilistic_model_for_unsupervised_morphology_induction,April,2017.0,EACL,https://aclanthology.org/E17-1032,bergmanis-goldwater-2017-segmentation,"Toms Bergmanis and Sharon Goldwater. 2017. From Segmentation to Analyses: a Probabilistic Model for Unsupervised Morphology Induction. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 337–346, Valencia, Spain. Association for Computational Linguistics."
explaining_relationships_between_scientific_documents,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_grammarbased_sequencetosequence_modeling_with_decomposition_and_constraints,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
aprompt_attention_prompt_tuning_for_efficient_adaptation_of_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
treeshape_uncertainty_for_analyzing_the_inherent_branching_bias_of_unsupervised_parsing_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
normsage_multilingual_multicultural_norm_discovery_from_conversations_onthefly,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.941,fung-etal-2023-normsage,"Yi Fung, Tuhin Chakrabarty, Hao Guo, Owen Rambow, Smaranda Muresan, and Heng Ji. 2023. NORMSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15217–15230, Singapore. Association for Computational Linguistics."
unifying_crosslingual_transfer_across_scenarios_of_resource_scarcity,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
two_endtoend_shallow_discourse_parsers_for_english_and_chinese_in_conll2016_shared_task,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_linear_time_approximation_of_wasserstein_distance_with_word_embedding_selection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
taxfree_a_visualization_tool_for_candidatefree_taxonomy_enrichment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_parsing_with_udop,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
interpreting_language_models_with_contrastive_explanations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
missing_modality_imagination_network_for_emotion_recognition_with_uncertain_missing_modalities,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
language_over_labels_contrastive_language_supervision_exceeds_purely_labelsupervised_classification_performance_on_chest_xrays,November,2022.0,,https://aclanthology.org/2022.aacl-srw.11,wiehe-etal-2022-language,"Anton Wiehe, Florian Schneider, Sebastian Blank, Xintong Wang, Hans-Peter Zorn, and Christian Biemann. 2022. Language over Labels: Contrastive Language Supervision Exceeds Purely Label-Supervised Classification Performance on Chest X-Rays. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: Student Research Workshop, pages 76–83, Online. Association for Computational Linguistics."
crippvqa_counterfactual_reasoning_about_implicit_physical_properties_via_video_question_answering,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.670,patel-etal-2022-cripp,"Maitreya Patel, Tejas Gokhale, Chitta Baral, and Yezhou Yang. 2022. CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9856–9870, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
generating_landmark_navigation_instructions_from_maps_as_a_graphtotext_problem,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generating_question_relevant_captions_to_aid_visual_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rethinking_the_evaluation_for_conversational_recommendation_in_the_era_of_large_language_models,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.621,wang-etal-2023-rethinking-evaluation,"Xiaolei Wang, Xinyu Tang, Xin Zhao, Jingyuan Wang, and Ji-Rong Wen. 2023. Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 10052–10065, Singapore. Association for Computational Linguistics."
mem2seq_effectively_incorporating_knowledge_bases_into_endtoend_taskoriented_dialog_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
eventcentric_query_expansion_in_web_search,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_generation_and_recognition_of_humorous_texts_in_portuguese,May,2023.0,EACL,https://aclanthology.org/2023.eacl-srw.3,lima-inacio-goncalo-oliveira-2023-towards,"Marcio Lima Inácio and Hugo Gonçalo Oliveira. 2023. Towards Generation and Recognition of Humorous Texts in Portuguese. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 26–36, Dubrovnik, Croatia. Association for Computational Linguistics."
on_model_stability_as_a_function_of_random_seed,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cogalign_learning_to_align_textual_neural_representations_to_cognitive_language_processing_signals,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pasta_tableoperations_aware_fact_verification_via_sentencetable_cloze_pretraining,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.331,gu-etal-2022-pasta,"Zihui Gu, Ju Fan, Nan Tang, Preslav Nakov, Xiaoman Zhao, and Xiaoyong Du. 2022. PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4971–4983, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
better_together_jointly_using_masked_latent_semantic_modeling_and_masked_language_modeling_for_sample_efficient_pretraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
subcategorisation_acquisition_from_raw_text_for_a_free_wordorder_language,April,2014.0,EACL,https://aclanthology.org/E14-1032,roberts-etal-2014-subcategorisation,"Will Roberts, Markus Egg, and Valia Kordoni. 2014. Subcategorisation Acquisition from Raw Text for a Free Word-Order Language. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 298–307, Gothenburg, Sweden. Association for Computational Linguistics."
a_diffusion_weighted_graph_framework_for_new_intent_discovery,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_sentence_compression_using_denoising_autoencoders,October,2018.0,CoNLL,https://aclanthology.org/K18-1040,fevry-phang-2018-unsupervised,"Thibault Févry and Jason Phang. 2018. Unsupervised Sentence Compression using Denoising Auto-Encoders. In Proceedings of the 22nd Conference on Computational Natural Language Learning, pages 413–422, Brussels, Belgium. Association for Computational Linguistics."
socioprobe_what_when_and_where_language_models_learn_about_sociodemographics,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.539,lauscher-etal-2022-socioprobe,"Anne Lauscher, Federico Bianchi, Samuel R. Bowman, and Dirk Hovy. 2022. SocioProbe: What, When, and Where Language Models Learn about Sociodemographics. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7901–7918, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
lowresource_compositional_semantic_parsing_with_concept_pretraining,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.103,rongali-etal-2023-low,"Subendhu Rongali, Mukund Sridhar, Haidar Khan, Konstantine Arkoudas, Wael Hamza, and Andrew McCallum. 2023. Low-Resource Compositional Semantic Parsing with Concept Pretraining. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1410–1419, Dubrovnik, Croatia. Association for Computational Linguistics."
rethinking_annotation_can_language_learners_contribute,July,2023.0,ACL,https://aclanthology.org/2023.acl-long.822,yoo-etal-2023-rethinking,"Haneul Yoo, Rifki Afina Putri, Changyoon Lee, Youngin Lee, So-Yeon Ahn, Dongyeop Kang, and Alice Oh. 2023. Rethinking Annotation: Can Language Learners Contribute?. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 14714–14733, Toronto, Canada. Association for Computational Linguistics."
knntl_knearestneighbor_transfer_learning_for_lowresource_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
slabert_talk_pretty_one_day_modeling_second_language_acquisition_with_bert,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tutorialbank_a_manuallycollected_corpus_for_prerequisite_chains_survey_extraction_and_resource_recommendation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cover_covering_the_semantically_tractable_questions,April,2017.0,EACL,https://aclanthology.org/E17-3001,minock-2017-cover,"Michael Minock. 2017. COVER: Covering the Semantically Tractable Questions. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 1–4, Valencia, Spain. Association for Computational Linguistics."
a_dualattention_hierarchical_recurrent_neural_network_for_dialogue_act_classification,November,2019.0,CoNLL,https://aclanthology.org/K19-1036,li-etal-2019-dual,"Ruizhe Li, Chenghua Lin, Matthew Collinson, Xiao Li, and Guanyi Chen. 2019. A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 383–392, Hong Kong, China. Association for Computational Linguistics."
selfattentional_models_for_lattice_inputs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
retrieveandsample_documentlevel_event_argument_extraction_via_hybrid_retrieval_augmentation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
clinical_outcome_prediction_from_admission_notes_using_selfsupervised_knowledge_integration,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.75,van-aken-etal-2021-clinical,"Betty van Aken, Jens-Michalis Papaioannou, Manuel Mayrdorfer, Klemens Budde, Felix Gers, and Alexander Loeser. 2021. Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 881–893, Online. Association for Computational Linguistics."
genex_a_commonsenseaware_unified_generative_framework_for_explainable_cyberbullying_detection,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.1035,maity-etal-2023-genex,"Krishanu Maity, Raghav Jain, Prince Jha, Sriparna Saha, and Pushpak Bhattacharyya. 2023. GenEx: A Commonsense-aware Unified Generative Framework for Explainable Cyberbullying Detection. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16632–16645, Singapore. Association for Computational Linguistics."
whats_up_with_visionlanguage_models_investigating_their_struggle_with_spatial_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_better_masking_for_better_language_model_pretraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dont_change_me_usercontrollable_selective_paraphrase_generation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.307,zhang-etal-2021-dont,"Mohan Zhang, Luchen Tan, Zihang Fu, Kun Xiong, Jimmy Lin, Ming Li, and Zhengkai Tu. 2021. Don’t Change Me! User-Controllable Selective Paraphrase Generation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3522–3527, Online. Association for Computational Linguistics."
generating_sentences_from_disentangled_syntactic_and_semantic_spaces,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
entsum_a_data_set_for_entitycentric_extractive_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
do_transformer_models_show_similar_attention_patterns_to_taskspecific_human_gaze,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_classtoclass_selectional_preferences,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_chain_of_thought_style_prompting_for_texttosql,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_computational_model_of_human_preferences_for_pronoun_resolution,April,2017.0,EACL,https://aclanthology.org/E17-4006,seminck-amsili-2017-computational,"Olga Seminck and Pascal Amsili. 2017. A Computational Model of Human Preferences for Pronoun Resolution. In Proceedings of the Student Research Workshop at the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 53–63, Valencia, Spain. Association for Computational Linguistics."
incorporating_dropped_pronouns_into_coreference_resolution_the_case_for_turkish,May,2023.0,EACL,https://aclanthology.org/2023.eacl-srw.2,pamay-arslan-eryigit-2023-incorporating,"Tuğba Pamay Arslan and Gülşen Eryiğit. 2023. Incorporating Dropped Pronouns into Coreference Resolution: The case for Turkish. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 14–25, Dubrovnik, Croatia. Association for Computational Linguistics."
kenmesh_knowledgeenhanced_endtoend_biomedical_text_labelling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
investigating_content_planning_for_navigating_tradeoffs_in_knowledgegrounded_dialogue,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.142,chawla-etal-2024-investigating,"Kushal Chawla, Hannah Rashkin, Gaurav Singh Tomar, and David Reitter. 2024. Investigating Content Planning for Navigating Trade-offs in Knowledge-Grounded Dialogue. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2316–2335, St. Julian’s, Malta. Association for Computational Linguistics."
transferable_dialogue_systems_and_user_simulators,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_pretraining_with_language_and_task_adaptation_for_multilingual_text_style_transfer,June,2024.0,NAACL,https://aclanthology.org/2024.naacl-long.339,gao-etal-2024-multilingual,"Changjiang Gao, Hongda Hu, Peng Hu, Jiajun Chen, Jixing Li, and Shujian Huang. 2024. Multilingual Pretraining and Instruction Tuning Improve Cross-Lingual Knowledge Alignment, But Only Shallowly. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pages 6101–6117, Mexico City, Mexico. Association for Computational Linguistics."
aspect_sentiment_classification_with_documentlevel_sentiment_preference_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cleaner_pretraining_corpus_curation_with_neural_web_scraping,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gem_gestalt_enhanced_markup_language_model_for_web_understanding_via_render_tree,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
can_language_models_laugh_at_youtube_shortform_videos,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.176,ko-etal-2023-language,"Dayoon Ko, Sangho Lee, and Gunhee Kim. 2023. Can Language Models Laugh at YouTube Short-form Videos?. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 2897–2916, Singapore. Association for Computational Linguistics."
piglet_language_grounding_through_neurosymbolic_interaction_in_a_3d_world,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_the_sense_distributions_of_homographs,,2006.0,EACL,https://aclanthology.org/E06-2018,rapp-2006-exploring,"Reinhard Rapp. 2006. Exploring the Sense Distributions of Homographs. In Demonstrations, pages 155–158."
a_linear_programming_formulation_for_global_inference_in_natural_language_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
memsum_extractive_summarization_of_long_documents_using_multistep_episodic_markov_decision_processes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
kgvlbart_knowledge_graph_augmented_visual_language_bart_for_radiology_report_generation,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.246,kale-etal-2023-kgvl,"Kaveri Kale, Pushpak Bhattacharyya, Milind Gune, Aditya Shetty, and Rustom Lawyer. 2023. KGVL-BART: Knowledge Graph Augmented Visual Language BART for Radiology Report Generation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3401–3411, Dubrovnik, Croatia. Association for Computational Linguistics."
decompositional_argument_mining_a_general_purpose_approach_for_argument_graph_construction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
detecting_speculative_language_using_syntactic_dependencies_and_logistic_regression,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dodging_the_data_bottleneck_automatic_subtitling_with_automatically_segmented_st_corpora,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_empirical_study_on_adversarial_attack_on_nmt_languages_and_positions_matter,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tweetqa_a_social_media_focused_question_answering_dataset,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_event_detection_via_opendomain_trigger_knowledge,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
calculating_semantic_distance_between_word_sense_probability_distributions,May 6 - May 7,2004.0,CoNLL,https://aclanthology.org/W04-2411,tsang-stevenson-2004-calculating,"Vivian Tsang and Suzanne Stevenson. 2004. Calculating Semantic Distance between Word Sense Probability Distributions. In Proceedings of the Eighth Conference on Computational Natural Language Learning (CoNLL-2004) at HLT-NAACL 2004, pages 81–88, Boston, Massachusetts, USA. Association for Computational Linguistics."
neural_reranking_for_dependency_parsing_an_evaluation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fewshot_learning_with_siamese_networks_and_label_tuning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_multiview_sentiment_corpus,April,2017.0,EACL,https://aclanthology.org/E17-1026,nozza-etal-2017-multi,"Debora Nozza, Elisabetta Fersini, and Enza Messina. 2017. A Multi-View Sentiment Corpus. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 273–280, Valencia, Spain. Association for Computational Linguistics."
concise_answers_to_complex_questions_summarization_of_longform_answers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_understand_childdirected_and_adultdirected_speech,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fewshot_nlg_with_pretrained_language_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_evaluation_of_visionandlanguage_navigation_instructions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multimodal_fallacy_classification_in_political_debates,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.16,mancini-etal-2024-multimodal,"Eleonora Mancini, Federico Ruggeri, and Paolo Torroni. 2024. Multimodal Fallacy Classification in Political Debates. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 170–178, St. Julian’s, Malta. Association for Computational Linguistics."
topic_modeling_with_topological_data_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
momentum_contrastive_pretraining_for_question_answering,November,2019.0,,https://aclanthology.org/D19-1603,mueller-etal-2019-answering,"Thomas Mueller, Francesco Piccinno, Peter Shaw, Massimo Nicosia, and Yasemin Altun. 2019. Answering Conversational Questions on Structured Data without Logical Forms. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pages 5902–5910, Hong Kong, China. Association for Computational Linguistics."
tmr_evaluating_ner_recall_on_tough_mentions,April,2021.0,EACL,https://aclanthology.org/2021.eacl-srw.21,tu-lignos-2021-tmr,"Jingxuan Tu and Constantine Lignos. 2021. TMR: Evaluating NER Recall on Tough Mentions. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 155–163, Online. Association for Computational Linguistics."
cocodr_combating_the_distribution_shift_in_zeroshot_dense_retrieval_with_contrastive_and_distributionally_robust_learning,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.95,yu-etal-2022-coco,"Yue Yu, Chenyan Xiong, Si Sun, Chao Zhang, and Arnold Overwijk. 2022. COCO-DR: Combating the Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1462–1479, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
descgen_a_distantly_supervised_datasetfor_generating_entity_descriptions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
detecting_urgency_in_multilingual_medical_sms_in_kenya,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
word_sense_disambiguation_a_unified_evaluation_framework_and_empirical_comparison,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
user_edits_classification_using_document_revision_histories,April,2012.0,EACL,https://aclanthology.org/E12-1036,bronner-monz-2012-user,"Amit Bronner and Christof Monz. 2012. User Edits Classification Using Document Revision Histories. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 356–366, Avignon, France. Association for Computational Linguistics."
not_all_claims_are_created_equal_choosing_the_right_statistical_approach_to_assess_hypotheses,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reinforcement_guided_multitask_learning_framework_for_lowresource_stereotype_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
prevent_the_language_model_from_being_overconfident_in_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cefrbased_sentence_difficulty_annotation_and_assessment,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.416,arase-etal-2022-cefr,"Yuki Arase, Satoru Uchida, and Tomoyuki Kajiwara. 2022. CEFR-Based Sentence Difficulty Annotation and Assessment. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6206–6219, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
an_empirical_study_on_finding_spans,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_lowresource_named_entity_recognition_using_joint_sentence_and_token_labeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fie_building_a_global_probability_space_by_leveraging_early_fusion_in_encoder_for_opendomain_question_answering,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.285,kedia-etal-2022-fie,"Akhil Kedia, Mohd Abbas Zaidi, and Haejun Lee. 2022. FiE: Building a Global Probability Space by Leveraging Early Fusion in Encoder for Open-Domain Question Answering. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4246–4260, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
crafting_adversarial_examples_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
robust_distant_supervision_relation_extraction_via_deep_reinforcement_learning,July,2018.0,ACL,https://aclanthology.org/P18-1199,qin-etal-2018-robust,"Pengda Qin, Weiran Xu, and William Yang Wang. 2018. Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2137–2147, Melbourne, Australia. Association for Computational Linguistics."
sparsifying_transformer_models_with_trainable_representation_pooling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_hybrid_model_for_grammatical_error_correction,August,2013.0,CoNLL,https://aclanthology.org/W13-3616,xiang-etal-2013-hybrid,"Yang Xiang, Bo Yuan, Yaoyun Zhang, Xiaolong Wang, Wen Zheng, and Chongqiang Wei. 2013. A Hybrid Model For Grammatical Error Correction. In Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task, pages 115–122, Sofia, Bulgaria. Association for Computational Linguistics."
double_embeddings_and_cnnbased_sequence_labeling_for_aspect_extraction,July,2018.0,ACL,https://aclanthology.org/P18-2094,xu-etal-2018-double,"Hu Xu, Bing Liu, Lei Shu, and Philip S. Yu. 2018. Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 592–598, Melbourne, Australia. Association for Computational Linguistics."
semantic_specialization_for_knowledgebased_word_sense_disambiguation,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.251,mizuki-okazaki-2023-semantic,"Sakae Mizuki and Naoaki Okazaki. 2023. Semantic Specialization for Knowledge-based Word Sense Disambiguation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3457–3470, Dubrovnik, Croatia. Association for Computational Linguistics."
person_identification_from_text_and_speech_genre_samples,March,2009.0,EACL,https://aclanthology.org/E09-1039,goldstein-stewart-etal-2009-person,"Jade Goldstein-Stewart, Ransom Winder, and Roberta Sabin. 2009. Person Identification from Text and Speech Genre Samples. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 336–344, Athens, Greece. Association for Computational Linguistics."
why_overfitting_isnt_always_bad_retrofitting_crosslingual_word_embeddings_to_dictionaries,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
coordination_structure_analysis_using_dual_decomposition,April,2012.0,EACL,https://aclanthology.org/E12-1044,hanamoto-etal-2012-coordination,"Atsushi Hanamoto, Takuya Matsuzaki, and Jun’ichi Tsujii. 2012. Coordination Structure Analysis using Dual Decomposition. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 430–438, Avignon, France. Association for Computational Linguistics."
pass_off_fish_eyes_for_pearls_attacking_model_selection_of_pretrained_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
locost_statespace_models_for_long_document_abstractive_summarization,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.69,le-bronnec-etal-2024-locost,"Florian Le Bronnec, Song Duong, Mathieu Ravaut, Alexandre Allauzen, Nancy Chen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, and Patrick Gallinari. 2024. LOCOST: State-Space Models for Long Document Abstractive Summarization. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1144–1159, St. Julian’s, Malta. Association for Computational Linguistics."
zshot_an_opensource_framework_for_zeroshot_named_entity_recognition_and_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
escoxlmr_multilingual_taxonomydriven_pretraining_for_the_job_market_domain,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_machine_translation_with_phraselevel_universal_visual_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generative_multihop_retrieval,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_ask_more_semiautoregressive_sequential_question_generation_under_dualgraph_interaction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
aspectcategoryopinionsentiment_quadruple_extraction_with_implicit_aspects_and_opinions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mospc_mos_prediction_based_on_pairwise_comparison,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multirow_multispan_distant_supervision_for_tabletext_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
identifying_moments_of_change_from_longitudinal_user_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
can_generative_pretrained_language_models_serve_as_knowledge_bases_for_closedbook_qa,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
prototypeguided_pseudo_labeling_for_semisupervised_text_classification,July,2023.0,ACL,https://aclanthology.org/2023.acl-long.904,yang-etal-2023-prototype,"Weiyi Yang, Richong Zhang, Junfan Chen, Lihong Wang, and Jaein Kim. 2023. Prototype-Guided Pseudo Labeling for Semi-Supervised Text Classification. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 16369–16382, Toronto, Canada. Association for Computational Linguistics."
binarybert_pushing_the_limit_of_bert_quantization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tackling_the_story_ending_biases_in_the_story_cloze_test,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_minimalist_approach_to_shallow_discourse_parsing_and_implicit_relation_recognition,July,2015.0,CoNLL,https://aclanthology.org/K15-2006,chiarcos-schenk-2015-minimalist,"Christian Chiarcos and Niko Schenk. 2015. A Minimalist Approach to Shallow Discourse Parsing and Implicit Relation Recognition. In Proceedings of the Nineteenth Conference on Computational Natural Language Learning - Shared Task, pages 42–49, Beijing, China. Association for Computational Linguistics."
salient_span_masking_for_temporal_understanding,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.222,cole-etal-2023-salient,"Jeremy R. Cole, Aditi Chaudhary, Bhuwan Dhingra, and Partha Talukdar. 2023. Salient Span Masking for Temporal Understanding. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3052–3060, Dubrovnik, Croatia. Association for Computational Linguistics."
distractor_generation_for_fillintheblank_exercises_by_question_type,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
wax_a_new_dataset_for_word_association_explanations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
expertise_style_transfer_a_new_task_towards_better_communication_between_experts_and_laymen,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
compensating_for_annotation_errors_in_training_a_relation_extractor,April,2012.0,EACL,https://aclanthology.org/E12-1020,min-grishman-2012-compensating,"Bonan Min and Ralph Grishman. 2012. Compensating for Annotation Errors in Training a Relation Extractor. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 194–203, Avignon, France. Association for Computational Linguistics."
rethinking_positional_encoding_in_tree_transformer_for_code_representation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.210,peng-etal-2022-rethinking,"Han Peng, Ge Li, Yunfei Zhao, and Zhi Jin. 2022. Rethinking Positional Encoding in Tree Transformer for Code Representation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3204–3214, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
accelerating_transformer_inference_for_translation_via_parallel_decoding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cicero_a_dataset_for_contextualized_commonsense_inference_in_dialogues,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_interactive_multitask_learning_network_for_endtoend_aspectbased_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_simple_baseline_for_knowledgebased_visual_question_answering,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.919,xenos-etal-2023-simple,"Alexandros Xenos, Themos Stafylakis, Ioannis Patras, and Georgios Tzimiropoulos. 2023. A Simple Baseline for Knowledge-Based Visual Question Answering. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 14871–14877, Singapore. Association for Computational Linguistics."
retrievalguided_counterfactual_generation_for_qa,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
markuplm_pretraining_of_text_and_markup_language_for_visually_rich_document_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_complete_shiftreduce_chinese_discourse_parser_with_robust_dynamic_oracle,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_domainagnostic_and_domainadaptive_dementia_detection_from_spoken_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_efficacy_of_adversarial_data_collection_for_question_answering_results_from_a_largescale_randomized_study,August,2021.0,,https://aclanthology.org/2021.acl-long.517,kaushik-etal-2021-efficacy,"Divyansh Kaushik, Douwe Kiela, Zachary C. Lipton, and Wen-tau Yih. 2021. On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 6618–6633, Online. Association for Computational Linguistics."
are_shortest_rationales_the_best_explanations_for_human_understanding,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.2,shen-etal-2022-shortest,"Hua Shen, Tongshuang Wu, Wenbo Guo, and Ting-Hao Huang. 2022. Are Shortest Rationales the Best Explanations for Human Understanding?. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 10–19, Dublin, Ireland. Association for Computational Linguistics."
improving_the_robustness_of_nli_models_with_minimax_training,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improved_instruction_ordering_in_recipegrounded_conversation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mining_crosscultural_differences_and_similarities_in_social_media,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
deepsentipeer_harnessing_sentiment_in_review_texts_to_recommend_peer_review_decisions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
some_of_them_can_be_guessed_exploring_the_effect_of_linguistic_context_in_predicting_quantifiers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
decompeval_evaluating_generated_texts_as_unsupervised_decomposed_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
back_to_patterns_efficient_japanese_morphological_analysis_with_featuresequence_trie,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_digital_language_coherence_marker_for_monitoring_dementia,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.994,gkoumas-etal-2023-digital,"Dimitris Gkoumas, Adam Tsakalidis, and Maria Liakata. 2023. A Digital Language Coherence Marker for Monitoring Dementia. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16021–16034, Singapore. Association for Computational Linguistics."
improving_automatic_quotation_attribution_in_literary_novels,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilevel_representations_for_finegrained_typing_of_knowledge_base_entities,April,2017.0,EACL,https://aclanthology.org/E17-1055,yaghoobzadeh-schutze-2017-multi,"Yadollah Yaghoobzadeh and Hinrich Schütze. 2017. Multi-level Representations for Fine-Grained Typing of Knowledge Base Entities. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 578–589, Valencia, Spain. Association for Computational Linguistics."
a_cascaded_finitestate_parser_for_german,April,2003.0,EACL,https://aclanthology.org/E03-1087,schiehlen-2003-cascaded,"Michael Schiehlen. 2003. A Cascaded Finite-State Parser for German. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
changing_the_basis_of_contextual_representations_with_explicit_semantics,August,2021.0,,https://aclanthology.org/2021.acl-srw.25,ficsor-berend-2021-changing,"Tamás Ficsor and Gábor Berend. 2021. Changing the Basis of Contextual Representations with Explicit Semantics. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop, pages 235–247, Online. Association for Computational Linguistics."
safer_a_structurefree_approach_for_certified_robustness_to_adversarial_word_substitutions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pnlpmixer_an_efficient_allmlp_architecture_for_language,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.6,fusco-etal-2023-pnlp,"Francesco Fusco, Damian Pascual, Peter Staar, and Diego Antognini. 2023. pNLP-Mixer: an Efficient all-MLP Architecture for Language. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 53–60, Toronto, Canada. Association for Computational Linguistics."
semantic_role_labeling_using_maximum_entropy_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
textual_deconvolution_saliency_tds__a_deep_tool_box_for_linguistic_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
open_information_extraction_via_chunks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improvements_in_unsupervised_cooccurrence_based_parsing,July,2010.0,CoNLL,https://aclanthology.org/W10-2901,hanig-2010-improvements,"Christian Hänig. 2010. Improvements in Unsupervised Co-Occurrence Based Parsing. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning, pages 1–8, Uppsala, Sweden. Association for Computational Linguistics."
exploring_interpretability_in_event_extraction_multitask_learning_of_a_neural_event_classifier_and_an_explanation_decoder,July,2020.0,ACL,https://aclanthology.org/2020.acl-srw.23,tang-etal-2020-exploring,"Zheng Tang, Gus Hahn-Powell, and Mihai Surdeanu. 2020. Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 169–175, Online. Association for Computational Linguistics."
a_unified_generative_framework_for_various_ner_subtasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_robustness_of_neural_semantic_parsers,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.292,huang-etal-2021-robustness,"Shuo Huang, Zhuang Li, Lizhen Qu, and Lei Pan. 2021. On Robustness of Neural Semantic Parsers. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3333–3342, Online. Association for Computational Linguistics."
adaptive_fusion_techniques_for_multimodal_data,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.275,sahu-vechtomova-2021-adaptive,"Gaurav Sahu and Olga Vechtomova. 2021. Adaptive Fusion Techniques for Multimodal Data. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3156–3166, Online. Association for Computational Linguistics."
efficient_pretraining_of_masked_language_model_via_conceptbased_curriculum_masking,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.502,lee-etal-2022-efficient-pre,"Mingyu Lee, Jun-Hyung Park, Junho Kim, Kang-Min Kim, and SangKeun Lee. 2022. Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7417–7427, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
a_simple_approach_to_building_ensembles_of_naive_bayesian_classifiers_for_word_sense_disambiguation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automated_cognate_detection_as_a_supervised_link_prediction_task_with_cognate_transformer,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.58,akavarapu-bhattacharya-2024-automated,"V.S.D.S.Mahesh Akavarapu and Arnab Bhattacharya. 2024. Automated Cognate Detection as a Supervised Link Prediction Task with Cognate Transformer. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 965–975, St. Julian’s, Malta. Association for Computational Linguistics."
pragmatic_descriptions_of_perceptual_stimuli,April,2017.0,EACL,https://aclanthology.org/E17-4001,van-miltenburg-2017-pragmatic,"Emiel van Miltenburg. 2017. Pragmatic descriptions of perceptual stimuli. In Proceedings of the Student Research Workshop at the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 1–10, Valencia, Spain. Association for Computational Linguistics."
the_moral_debater_a_study_on_the_computational_generation_of_morally_framed_arguments,May,2022.0,ACL,https://aclanthology.org/2022.acl-long.601,alshomary-etal-2022-moral,"Milad Alshomary, Roxanne El Baff, Timon Gurcke, and Henning Wachsmuth. 2022. The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 8782–8797, Dublin, Ireland. Association for Computational Linguistics."
elmer_a_nonautoregressive_pretrained_language_model_for_efficient_and_effective_text_generation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.68,li-etal-2022-elmer,"Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jian-Yun Nie, and Ji-Rong Wen. 2022. ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1044–1058, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
vibe_topicdriven_temporal_adaptation_for_twitter_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
combining_argumentation_structure_and_language_model_for_generating_natural_argumentative_dialogue,November,2022.0,,https://aclanthology.org/2022.aacl-short.9,mitsuda-etal-2022-combining,"Koh Mitsuda, Ryuichiro Higashinaka, and Kuniko Saito. 2022. Combining Argumentation Structure and Language Model for Generating Natural Argumentative Dialogue. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 65–71, Online only. Association for Computational Linguistics."
named_entity_recognition_in_the_medical_domain_with_constrained_crf_models,April,2017.0,EACL,https://aclanthology.org/E17-1079,jochim-deleris-2017-named,"Charles Jochim and Léa Deleris. 2017. Named Entity Recognition in the Medical Domain with Constrained CRF Models. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 839–849, Valencia, Spain. Association for Computational Linguistics."
contextual_representation_learning_beyond_masked_language_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adapting_offline_speech_translation_models_for_streaming_with_futureaware_distillation_and_inference,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.1033,fu-etal-2023-adapting,"Biao Fu, Minpeng Liao, Kai Fan, Zhongqiang Huang, Boxing Chen, Yidong Chen, and Xiaodong Shi. 2023. Adapting Offline Speech Translation Models for Streaming with Future-Aware Distillation and Inference. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16600–16619, Singapore. Association for Computational Linguistics."
reduce_catastrophic_forgetting_of_dense_retrieval_training_with_teleportation_negatives,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.445,sun-etal-2022-reduce,"Si Sun, Chenyan Xiong, Yue Yu, Arnold Overwijk, Zhiyuan Liu, and Jie Bao. 2022. Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6639–6654, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
generating_diverse_translations_with_sentence_codes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multiteam_a_multiattention_multidecoder_approach_to_morphological_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
vision_language_pretraining_by_contrastive_learning_with_crossmodal_similarity_regulation,July,2023.0,ACL,https://aclanthology.org/2023.acl-long.819,jiang-etal-2023-vision,"Chaoya Jiang, Wei Ye, Haiyang Xu, Songfang Huang, Fei Huang, and Shikun Zhang. 2023. Vision Language Pre-training by Contrastive Learning with Cross-Modal Similarity Regulation. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 14660–14679, Toronto, Canada. Association for Computational Linguistics."
from_text_segmentation_to_smart_chaptering_a_novel_benchmark_for_structuring_video_transcriptions,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.25,retkowski-waibel-2024-text,"Fabian Retkowski and Alexander Waibel. 2024. From Text Segmentation to Smart Chaptering: A Novel Benchmark for Structuring Video Transcriptions. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 406–419, St. Julian’s, Malta. Association for Computational Linguistics."
mrmep_joint_extraction_of_multiple_relations_and_multiple_entity_pairs_based_on_triplet_attention,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
eliciting_knowledge_from_large_pretrained_models_for_unsupervised_knowledgegrounded_conversation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.721,li-etal-2022-eliciting,"Yanyang Li, Jianqiao Zhao, Michael Lyu, and Liwei Wang. 2022. Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10551–10564, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
attend_to_medical_ontologies_content_selection_for_clinical_abstractive_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
token_task_decomposition_and_knowledge_infusion_for_fewshot_hate_speech_detection,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.136,alkhamissi-etal-2022-token,"Badr AlKhamissi, Faisal Ladhak, Srinivasan Iyer, Veselin Stoyanov, Zornitsa Kozareva, Xian Li, Pascale Fung, Lambert Mathias, Asli Celikyilmaz, and Mona Diab. 2022. ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 2109–2120, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
smurf_semantic_and_linguistic_understanding_fusion_for_caption_evaluation_via_typicality_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_network_to_identify_personal_health_experience_mention_in_tweets_using_biobert_embeddings,August,2019.0,ACL,https://aclanthology.org/W19-3218,gondane-2019-neural,"Shubham Gondane. 2019. Neural Network to Identify Personal Health Experience Mention in Tweets Using BioBERT Embeddings. In Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task, pages 110–113, Florence, Italy. Association for Computational Linguistics."
smalltext_active_learning_for_text_classification_in_python,May,2023.0,EACL,https://aclanthology.org/2023.eacl-demo.11,schroder-etal-2023-small,"Christopher Schröder, Lydia Müller, Andreas Niekler, and Martin Potthast. 2023. Small-Text: Active Learning for Text Classification in Python. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 84–95, Dubrovnik, Croatia. Association for Computational Linguistics."
on_scientific_debt_in_nlp_a_case_for_more_rigour_in_language_model_pretraining_research,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
knowledge_graph_embedding_compression,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multimodal_text_style_transfer_for_outdoor_visionandlanguage_navigation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.103,zhu-etal-2021-multimodal,"Wanrong Zhu, Xin Wang, Tsu-Jui Fu, An Yan, Pradyumna Narayana, Kazoo Sone, Sugato Basu, and William Yang Wang. 2021. Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1207–1221, Online. Association for Computational Linguistics."
the_best_of_both_worlds_combining_recent_advances_in_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dont_trust_chatgpt_when_your_question_is_not_in_english_a_study_of_multilingual_abilities_and_types_of_llms,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
chasing_the_tail_with_domain_generalization_a_case_study_on_frequencyenriched_datasets,November,2022.0,,https://aclanthology.org/2022.aacl-main.1,kumar-etal-2022-chasing,"Manoj Kumar, Anna Rumshisky, and Rahul Gupta. 2022. Chasing the Tail with Domain Generalization: A Case Study on Frequency-Enriched Datasets. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 1–11, Online only. Association for Computational Linguistics."
grounding_language_by_continuous_observation_of_instruction_following,April,2017.0,EACL,https://aclanthology.org/E17-2079,han-schlangen-2017-grounding,"Ting Han and David Schlangen. 2017. Grounding Language by Continuous Observation of Instruction Following. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 491–496, Valencia, Spain. Association for Computational Linguistics."
semantic_pattern_learning_through_maximum_entropybased_wsd_technique,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
continual_training_of_language_models_for_fewshot_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bridging_the_gap_between_synthetic_and_authentic_images_for_multimodal_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reinforced_training_data_selection_for_domain_adaptation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
anthroscore_a_computational_linguistic_measure_of_anthropomorphism,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_retrieval_augmentation_for_personalized_dialogue_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
llmlingua_compressing_prompts_for_accelerated_inference_of_large_language_models,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.825,jiang-etal-2023-llmlingua,"Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, Yuqing Yang, and Lili Qiu. 2023. LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13358–13376, Singapore. Association for Computational Linguistics."
bridging_distribution_gap_via_semantic_rewriting_with_llms_to_enhance_ood_robustness,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
computational_complexity_of_statistical_machine_translation,April,2006.0,EACL,https://aclanthology.org/E06-1004,u-maji-2006-computational,"Raghavendra Udupa U. and Hemanta K. Maji. 2006. Computational Complexity of Statistical Machine Translation. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 25–32, Trento, Italy. Association for Computational Linguistics."
pcc_paraphrasing_with_bottomk_sampling_and_cyclic_learning_for_curriculum_data_augmentation,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.5,lu-lam-2023-pcc,"Hongyuan Lu and Wai Lam. 2023. PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data Augmentation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 68–82, Dubrovnik, Croatia. Association for Computational Linguistics."
a_tokenlevel_referencefree_hallucination_detection_benchmark_for_freeform_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multigrained_attention_with_objectlevel_grounding_for_visual_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pretraining_and_finetuning_neural_topic_model_a_simple_yet_effective_approach_to_incorporating_external_knowledge,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
classifying_temporal_relations_with_simple_features,April,2014.0,EACL,https://aclanthology.org/E14-1033,mirza-tonelli-2014-classifying,"Paramita Mirza and Sara Tonelli. 2014. Classifying Temporal Relations with Simple Features. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 308–317, Gothenburg, Sweden. Association for Computational Linguistics."
vectorquantized_inputcontextualized_soft_prompts_for_natural_language_understanding,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.455,bhardwaj-etal-2022-vector,"Rishabh Bhardwaj, Amrita Saha, Steven C.H. Hoi, and Soujanya Poria. 2022. Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6776–6791, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
a_parallel_corpus_for_evaluating_machine_translation_between_arabic_and_european_languages,April,2017.0,EACL,https://aclanthology.org/E17-2038,habash-etal-2017-parallel,"Nizar Habash, Nasser Zalmout, Dima Taji, Hieu Hoang, and Maverick Alzate. 2017. A Parallel Corpus for Evaluating Machine Translation between Arabic and European Languages. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 235–241, Valencia, Spain. Association for Computational Linguistics."
automatically_building_training_examples_for_entity_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
joint_learning_of_hyperbolic_label_embeddings_for_hierarchical_multilabel_classification,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.247,chatterjee-etal-2021-joint,"Soumya Chatterjee, Ayush Maheshwari, Ganesh Ramakrishnan, and Saketha Nath Jagarlapudi. 2021. Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2829–2841, Online. Association for Computational Linguistics."
counterfactual_active_learning_for_outofdistribution_generalization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mmpe_a_multimodal_interface_for_postediting_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
contextual_spelling_correction_using_latent_semantic_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_natural_bias_for_language_generation_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
edit_distance_based_curriculum_learning_for_paraphrase_generation,August,2021.0,,https://aclanthology.org/2021.acl-srw.24,kadotani-etal-2021-edit,"Sora Kadotani, Tomoyuki Kajiwara, Yuki Arase, and Makoto Onizuka. 2021. Edit Distance Based Curriculum Learning for Paraphrase Generation. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop, pages 229–234, Online. Association for Computational Linguistics."
number_theory_meets_linguistics_modelling_noun_pluralisation_across_1497_languages_using_2adic_metrics,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sentencestate_lstm_for_text_representation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lessons_learned_from_a_citizen_science_project_for_natural_language_processing,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.261,klie-etal-2023-lessons,"Jan-Christoph Klie, Ji-Ung Lee, Kevin Stowe, Gözde Şahin, Nafise Sadat Moosavi, Luke Bates, Dominic Petrak, Richard Eckart De Castilho, and Iryna Gurevych. 2023. Lessons Learned from a Citizen Science Project for Natural Language Processing. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3594–3608, Dubrovnik, Croatia. Association for Computational Linguistics."
from_detecting_errors_to_automatically_correcting_them,April,2006.0,EACL,https://aclanthology.org/E06-1034,dickinson-2006-detecting,"Markus Dickinson. 2006. From Detecting Errors to Automatically Correcting Them. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 265–272, Trento, Italy. Association for Computational Linguistics."
dual_mechanism_priming_effects_in_hindi_word_order,November,2022.0,,https://aclanthology.org/2022.aacl-main.68,ranjan-etal-2022-dual,"Sidharth Ranjan, Marten van Schijndel, Sumeet Agarwal, and Rajakrishnan Rajkumar. 2022. Dual Mechanism Priming Effects in Hindi Word Order. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 936–953, Online only. Association for Computational Linguistics."
large_dataset_and_language_model_funtuning_for_humor_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
graphbased_clustering_for_detecting_semantic_change_across_time_and_languages,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.93,ma-etal-2024-graph,"Xianghe Ma, Michael Strube, and Wei Zhao. 2024. Graph-based Clustering for Detecting Semantic Change Across Time and Languages. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1542–1561, St. Julian’s, Malta. Association for Computational Linguistics."
toward_building_a_language_model_for_understanding_temporal_commonsense,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reastap_injecting_table_reasoning_skills_during_pretraining_via_synthetic_reasoning_examples,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
intriguing_properties_of_compression_on_multilingual_models,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.619,ogueji-etal-2022-intriguing,"Kelechi Ogueji, Orevaoghene Ahia, Gbemileke Onilude, Sebastian Gehrmann, Sara Hooker, and Julia Kreutzer. 2022. Intriguing Properties of Compression on Multilingual Models. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9092–9110, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
combining_parameterefficient_modules_for_tasklevel_generalisation,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.49,ponti-etal-2023-combining,"Edoardo Maria Ponti, Alessandro Sordoni, Yoshua Bengio, and Siva Reddy. 2023. Combining Parameter-efficient Modules for Task-level Generalisation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 687–702, Dubrovnik, Croatia. Association for Computational Linguistics."
bam_bornagain_multitask_networks_for_natural_language_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crystal_introspective_reasoners_reinforced_with_selffeedback,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.708,liu-etal-2023-crystal,"Jiacheng Liu, Ramakanth Pasunuru, Hannaneh Hajishirzi, Yejin Choi, and Asli Celikyilmaz. 2023. Crystal: Introspective Reasoners Reinforced with Self-Feedback. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11557–11572, Singapore. Association for Computational Linguistics."
a_girl_has_a_name_detecting_authorship_obfuscation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
predicting_human_activities_from_usergenerated_content,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_decade_of_knowledge_graphs_in_natural_language_processing_a_survey,November,2022.0,,https://aclanthology.org/2022.aacl-main.46,schneider-etal-2022-decade,"Phillip Schneider, Tim Schopf, Juraj Vladika, Mikhail Galkin, Elena Simperl, and Florian Matthes. 2022. A Decade of Knowledge Graphs in Natural Language Processing: A Survey. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 601–614, Online only. Association for Computational Linguistics."
adabertctc_leveraging_bertctc_for_textonly_domain_adaptation_in_asr,December,2023.0,LChange,https://aclanthology.org/2023.lchange-1.2,lendvai-etal-2023-domain-adapting,"Piroska Lendvai, Uwe Reichel, Anna Jouravel, Achim Rabus, and Elena Renje. 2023. Domain-Adapting BERT for Attributing Manuscript, Century and Region in Pre-Modern Slavic Texts. In Proceedings of the 4th Workshop on Computational Approaches to Historical Language Change, pages 15–21, Singapore. Association for Computational Linguistics."
acquiring_knowledge_from_encyclopedic_texts,October,1994.0,ANLP,https://aclanthology.org/A94-1014,gomez-etal-1994-acquiring,"Fernando Gomez, Richard Hull, and Carlos Segami. 1994. Acquiring Knowledge From Encyclopedic Texts. In Fourth Conference on Applied Natural Language Processing, pages 84–90, Stuttgart, Germany. Association for Computational Linguistics."
compositional_semantic_parsing_across_graphbanks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_indepth_analysis_of_implicit_and_subtle_hate_speech_messages,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.147,ocampo-etal-2023-depth,"Nicolás Benjamín Ocampo, Ekaterina Sviridova, Elena Cabrio, and Serena Villata. 2023. An In-depth Analysis of Implicit and Subtle Hate Speech Messages. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1997–2013, Dubrovnik, Croatia. Association for Computational Linguistics."
what_kind_of_language_is_hard_to_languagemodel,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_diachronic_perspective_on_user_trust_in_ai_under_uncertainty,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
retrieval_of_the_best_counterargument_without_prior_topic_knowledge,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
do_neural_topic_models_really_need_dropout_analysis_of_the_effect_of_dropout_in_topic_modeling,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.162,adhya-etal-2023-neural,"Suman Adhya, Avishek Lahiri, and Debarshi Kumar Sanyal. 2023. Do Neural Topic Models Really Need Dropout? Analysis of the Effect of Dropout in Topic Modeling. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2220–2229, Dubrovnik, Croatia. Association for Computational Linguistics."
evaluating_crossdomain_texttosql_models_and_benchmarks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pretraining_language_models_for_comparative_reasoning,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.763,yu-etal-2023-pre,"Mengxia Yu, Zhihan Zhang, Wenhao Yu, and Meng Jiang. 2023. Pre-training Language Models for Comparative Reasoning. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12421–12433, Singapore. Association for Computational Linguistics."
beyond_abstracts_a_new_dataset_prompt_design_strategy_and_method_for_biomedical_synthesis_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
conditional_generators_of_words_definitions,July,2018.0,ACL,https://aclanthology.org/P18-2043,gadetsky-etal-2018-conditional,"Artyom Gadetsky, Ilya Yakubovskiy, and Dmitry Vetrov. 2018. Conditional Generators of Words Definitions. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 266–271, Melbourne, Australia. Association for Computational Linguistics."
crowdsourcing_and_validating_eventfocused_emotion_corpora_for_german_and_english,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
referring_to_screen_texts_with_voice_assistants,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reflect_not_reflex_inferencebased_common_ground_improves_dialogue_response_quality,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.714,zhou-etal-2022-reflect,"Pei Zhou, Hyundong Cho, Pegah Jandaghi, Dong-Ho Lee, Bill Yuchen Lin, Jay Pujara, and Xiang Ren. 2022. Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10450–10468, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
joint_learning_of_the_embedding_of_words_and_entities_for_named_entity_disambiguation,August,2016.0,CoNLL,https://aclanthology.org/K16-1025,yamada-etal-2016-joint,"Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda, and Yoshiyasu Takefuji. 2016. Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation. In Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, pages 250–259, Berlin, Germany. Association for Computational Linguistics."
dense_procedure_captioning_in_narrated_instructional_videos,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tabgenie_a_toolkit_for_tabletotext_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
geval_nlg_evaluation_using_gpt4_with_better_human_alignment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_unsupervised_geometric_and_syntaxaware_quantification_of_polysemy,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.722,goel-etal-2022-unsupervised,"Anmol Goel, Charu Sharma, and Ponnurangam Kumaraguru. 2022. An Unsupervised, Geometric and Syntax-aware Quantification of Polysemy. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10565–10574, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
unsupervised_multiplechoice_question_generation_for_outofdomain_qa_finetuning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_empirical_study_of_translation_hypothesis_ensembling_with_large_language_models,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.733,farinhas-etal-2023-empirical,"António Farinhas, José de Souza, and Andre Martins. 2023. An Empirical Study of Translation Hypothesis Ensembling with Large Language Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11956–11970, Singapore. Association for Computational Linguistics."
rigid_formats_controlled_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fairlex_a_multilingual_benchmark_for_evaluating_fairness_in_legal_text_processing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
metricguided_distillation_distilling_knowledge_from_the_metric_to_ranker_and_retriever_for_generative_commonsense_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
efficient_zeroshot_crosslingual_inference_via_retrieval,November,2023.0,,https://aclanthology.org/2023.ijcnlp-short.11,winata-etal-2023-efficient,"Genta Winata, Lingjue Xie, Karthik Radhakrishnan, Yifan Gao, and Daniel Preotiuc-Pietro. 2023. Efficient Zero-Shot Cross-lingual Inference via Retrieval. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 93–104, Nusa Dua, Bali. Association for Computational Linguistics."
how_to_probe_sentence_embeddings_in_lowresource_languages_on_structural_design_choices_for_probing_task_evaluation,November,2020.0,CoNLL,https://aclanthology.org/2020.conll-1.8,eger-etal-2020-probe,"Steffen Eger, Johannes Daxenberger, and Iryna Gurevych. 2020. How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation. In Proceedings of the 24th Conference on Computational Natural Language Learning, pages 108–118, Online. Association for Computational Linguistics."
a_generalized_vector_space_model_for_text_retrieval_based_on_semantic_relatedness,April,2009.0,EACL,https://aclanthology.org/E09-3009,tsatsaronis-panagiotopoulou-2009-generalized,"George Tsatsaronis and Vicky Panagiotopoulou. 2009. A Generalized Vector Space Model for Text Retrieval Based on Semantic Relatedness. In Proceedings of the Student Research Workshop at EACL 2009, pages 70–78, Athens, Greece. Association for Computational Linguistics."
a_description_and_demonstration_of_safar_framework,April,2021.0,EACL,https://aclanthology.org/2021.eacl-demos.16,bouzoubaa-etal-2021-description,"Karim Bouzoubaa, Younes Jaafar, Driss Namly, Ridouane Tachicart, Rachida Tajmout, Hakima Khamar, Hamid Jaafar, Lhoussain Aouragh, and Abdellah Yousfi. 2021. A description and demonstration of SAFAR framework. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 127–134, Online. Association for Computational Linguistics."
representation_learning_and_dynamic_programming_for_archybrid_parsing,November,2019.0,CoNLL,https://aclanthology.org/K19-1023,le-roux-etal-2019-representation,"Joseph Le Roux, Antoine Rozenknop, and Mathieu Lacroix. 2019. Representation Learning and Dynamic Programming for Arc-Hybrid Parsing. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 238–248, Hong Kong, China. Association for Computational Linguistics."
yu_sheng_humaninloop_classical_chinese_poetry_generation_system,May,2023.0,EACL,https://aclanthology.org/2023.eacl-demo.8,ma-etal-2023-yu,"Jingkun Ma, Runzhe Zhan, and Derek F. Wong. 2023. Yu Sheng: Human-in-Loop Classical Chinese Poetry Generation System. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 57–66, Dubrovnik, Croatia. Association for Computational Linguistics."
combining_syntactic_and_semantic_features_by_svm_for_unrestricted_coreference_resolution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
textual_manifoldbased_defense_against_natural_language_adversarial_examples,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.443,nguyen-minh-luu-2022-textual,"Dang Nguyen Minh and Anh Tuan Luu. 2022. Textual Manifold-based Defense Against Natural Language Adversarial Examples. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6612–6625, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
on_the_ingredients_of_an_effective_zeroshot_semantic_parser,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
investigating_the_effect_of_auxiliary_objectives_for_the_automated_grading_of_learner_english_speech_transcriptions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_factual_consistency_between_a_response_and_persona_facts,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.44,mesgar-etal-2021-improving,"Mohsen Mesgar, Edwin Simpson, and Iryna Gurevych. 2021. Improving Factual Consistency Between a Response and Persona Facts. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 549–562, Online. Association for Computational Linguistics."
finding_word_substitutions_using_a_distributional_similarity_baseline_and_immediate_context_overlap,April,2009.0,EACL,https://aclanthology.org/E09-3004,herbelot-2009-finding,"Aurelie Herbelot. 2009. Finding Word Substitutions Using a Distributional Similarity Baseline and Immediate Context Overlap. In Proceedings of the Student Research Workshop at EACL 2009, pages 28–36, Athens, Greece. Association for Computational Linguistics."
mitigating_backdoor_poisoning_attacks_through_the_lens_of_spurious_correlation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_baseline_approach_for_detecting_sentences_containing_uncertainty,July,2010.0,CoNLL,https://aclanthology.org/W10-3022,tjong-kim-sang-2010-baseline,"Erik Tjong Kim Sang. 2010. A Baseline Approach for Detecting Sentences Containing Uncertainty. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task, pages 148–150, Uppsala, Sweden. Association for Computational Linguistics."
worse_wer_but_better_bleu_leveraging_word_embedding_as_intermediate_in_multitask_endtoend_speech_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nonneural_models_matter_a_reevaluation_of_neural_referring_expression_generation_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
from_ultrafine_to_fine_finetuning_ultrafine_entity_typing_models_to_finegrained,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gender_bias_in_multilingual_embeddings_and_crosslingual_transfer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
facetaware_evaluation_for_extractive_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
one_size_does_not_fit_all_investigating_strategies_for_differentiallyprivate_learning_across_nlp_tasks,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.496,senge-etal-2022-one,"Manuel Senge, Timour Igamberdiev, and Ivan Habernal. 2022. One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7340–7353, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
exploring_segmentation_approaches_for_neural_machine_translation_of_codeswitched_egyptian_arabicenglish_text,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.256,gaser-etal-2023-exploring,"Marwa Gaser, Manuel Mager, Injy Hamed, Nizar Habash, Slim Abdennadher, and Ngoc Thang Vu. 2023. Exploring Segmentation Approaches for Neural Machine Translation of Code-Switched Egyptian Arabic-English Text. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3523–3538, Dubrovnik, Croatia. Association for Computational Linguistics."
riskgraded_safety_for_handling_medical_queries_in_conversational_ai,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
continual_pretraining_of_language_models_for_math_problem_understanding_with_syntaxaware_memory_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
we_are_what_we_repeatedly_do_inducing_and_deploying_habitual_schemas_in_personabased_responses,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.678,kane-schubert-2023-repeatedly,"Benjamin Kane and Lenhart Schubert. 2023. We Are What We Repeatedly Do: Inducing and Deploying Habitual Schemas in Persona-Based Responses. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 10998–11016, Singapore. Association for Computational Linguistics."
causal_documentgrounded_dialogue_pretraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
melm_data_augmentation_with_masked_entity_language_modeling_for_lowresource_ner,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hybrid_knowledge_transfer_for_improved_crosslingual_event_detection_via_hierarchical_sample_selection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
transsdriven_joint_learning_architecture_for_implicit_discourse_relation_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
break_breaking_the_dialogue_state_tracking_barrier_with_beam_search_and_reranking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_llmbased_knowledge_synthesis_and_scientific_reasoning_framework_for_biomedical_discovery,August,2024.0,ACL,https://aclanthology.org/2024.acl-demos.34,wysocki-etal-2024-llm,"Oskar Wysocki, Magdalena.wysocka@cruk.manchester.ac.uk Magdalena.wysocka@cruk.manchester.ac.uk, Danilo Carvalho, Alex Bogatu, Danilo.miranda@idiap.ch Danilo.miranda@idiap.ch, Maxime.delmas@idiap.ch Maxime.delmas@idiap.ch, Harriet.unsworth@cruk.manchester.ac.uk Harriet.unsworth@cruk.manchester.ac.uk, and Andre Freitas. 2024. An LLM-based Knowledge Synthesis and Scientific Reasoning Framework for Biomedical Discovery. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 355–364, Bangkok, Thailand. Association for Computational Linguistics."
tmodules_translation_modules_for_zeroshot_crossmodal_machine_translation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.391,duquenne-etal-2022-modules,"Paul-Ambroise Duquenne, Hongyu Gong, Benoît Sagot, and Holger Schwenk. 2022. T-Modules: Translation Modules for Zero-Shot Cross-Modal Machine Translation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5794–5806, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
bigc_a_multimodal_multipurpose_dataset_for_bemba,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
finegrained_analysis_of_crosslinguistic_syntactic_divergences,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_bidirectional_transformer_based_alignment_model_for_unsupervised_word_alignment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
building_representative_corpora_from_illiterate_communities_a_reviewof_challenges_and_mitigation_strategies_for_developing_countries,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.186,hirmer-etal-2021-building,"Stephanie Hirmer, Alycia Leonard, Josephine Tumwesige, and Costanza Conforti. 2021. Building Representative Corpora from Illiterate Communities: A Reviewof Challenges and Mitigation Strategies for Developing Countries. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2176–2189, Online. Association for Computational Linguistics."
words_arent_enough_their_order_matters_on_the_robustness_of_grounding_visual_referring_expressions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
active_learning_for_deep_semantic_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_and_adapting_chinese_gpt_to_pinyin_input_method,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
know_what_you_dont_know_modeling_a_pragmatic_speaker_that_refers_to_objects_of_unknown_categories,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gtrlstm_a_triple_encoder_for_sentence_generation_from_rdf_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
probing_for_idiomaticity_in_vector_space_models,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.310,garcia-etal-2021-probing,"Marcos Garcia, Tiago Kramer Vieira, Carolina Scarton, Marco Idiart, and Aline Villavicencio. 2021. Probing for idiomaticity in vector space models. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3551–3564, Online. Association for Computational Linguistics."
two_issues_with_chinese_spelling_correction_and_a_refinement_solution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
treebased_representation_and_generation_of_natural_and_mathematical_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
moral_mimicry_large_language_models_produce_moral_rationalizations_tailored_to_political_identity,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hidden_markov_tree_models_for_semantic_class_induction,August,2013.0,CoNLL,https://aclanthology.org/W13-3511,grave-etal-2013-hidden,"Édouard Grave, Guillaume Obozinski, and Francis Bach. 2013. Hidden Markov tree models for semantic class induction. In Proceedings of the Seventeenth Conference on Computational Natural Language Learning, pages 94–103, Sofia, Bulgaria. Association for Computational Linguistics."
feature_projection_for_improved_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
efficient_constituency_parsing_by_pointing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_structured_models_for_phone_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
word_representations_concentrate_and_this_is_good_news,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
borrowing_human_senses_commentaware_selftraining_for_social_media_multimodal_classification,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.381,xu-li-2022-borrowing,"Chunpu Xu and Jing Li. 2022. Borrowing Human Senses: Comment-Aware Self-Training for Social Media Multimodal Classification. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5644–5656, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
cogen_abductive_commonsense_language_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
knowledge_base_question_answering_through_recursive_hypergraphs,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.35,yadati-etal-2021-knowledge,"Naganand Yadati, Dayanidhi R S, Vaishnavi S, Indira K M, and Srinidhi G. 2021. Knowledge Base Question Answering through Recursive Hypergraphs. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 448–454, Online. Association for Computational Linguistics."
modality_adaption_or_regularization_a_case_study_on_endtoend_speech_translation,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.115,han-etal-2023-modality,"Yuchen Han, Chen Xu, Tong Xiao, and Jingbo Zhu. 2023. Modality Adaption or Regularization? A Case Study on End-to-End Speech Translation. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1340–1348, Toronto, Canada. Association for Computational Linguistics."
machine_translationese_effects_of_algorithmic_bias_on_linguistic_complexity_in_machine_translation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.188,vanmassenhove-etal-2021-machine,"Eva Vanmassenhove, Dimitar Shterionov, and Matthew Gwilliam. 2021. Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2203–2213, Online. Association for Computational Linguistics."
kace_generating_knowledge_aware_contrastive_explanations_for_natural_language_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_erg_at_mrp_2019_radically_compositional_semantic_dependencies,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
integrating_multimodal_information_in_large_pretrained_transformers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
yet_another_chartbased_technique_for_parsing_illformed_input,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dataefficient_playlist_captioning_with_musical_and_linguistic_knowledge,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.784,gabbolini-etal-2022-data,"Giovanni Gabbolini, Romain Hennequin, and Elena Epure. 2022. Data-Efficient Playlist Captioning With Musical and Linguistic Knowledge. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11401–11415, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
augmenting_document_representations_for_dense_retrieval_with_interpolation_and_perturbation,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.48,jeong-etal-2022-augmenting,"Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, and Jong Park. 2022. Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 442–452, Dublin, Ireland. Association for Computational Linguistics."
trainingfree_neural_architecture_search_for_rnns_and_transformers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
storywars_a_dataset_and_instruction_tuning_baselines_for_collaborative_story_understanding_and_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
simvecs_similaritybased_vectors_for_utterance_representation_in_conversational_ai_systems,November,2019.0,CoNLL,https://aclanthology.org/K19-1066,mahgoub-etal-2019-simvecs,"Ashraf Mahgoub, Youssef Shahin, Riham Mansour, and Saurabh Bagchi. 2019. SimVecs: Similarity-Based Vectors for Utterance Representation in Conversational AI Systems. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 708–717, Hong Kong, China. Association for Computational Linguistics."
painless_semisupervised_morphological_segmentation_using_conditional_random_fields,April,2014.0,EACL,https://aclanthology.org/E14-4017,ruokolainen-etal-2014-painless,"Teemu Ruokolainen, Oskar Kohonen, Sami Virpioja, and Mikko Kurimo. 2014. Painless Semi-Supervised Morphological Segmentation using Conditional Random Fields. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 84–89, Gothenburg, Sweden. Association for Computational Linguistics."
neural_vs_phrasebased_machine_translation_in_a_multidomain_scenario,October-November,2018.0,EMNLP,https://aclanthology.org/D18-1549,lample-etal-2018-phrase,"Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, and Marc’Aurelio Ranzato. 2018. Phrase-Based & Neural Unsupervised Machine Translation. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 5039–5049, Brussels, Belgium. Association for Computational Linguistics."
litevl_efficient_videolanguage_learning_with_enhanced_spatialtemporal_modeling,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.545,chen-etal-2022-litevl,"Dongsheng Chen, Chaofan Tao, Lu Hou, Lifeng Shang, Xin Jiang, and Qun Liu. 2022. LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7985–7997, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
trigger_is_not_sufficient_exploiting_frameaware_knowledge_for_implicit_event_argument_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_better_text_image_translation_with_multimodal_codebook,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
virt_improving_representationbased_text_matching_via_virtual_interaction,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.59,li-etal-2022-virt,"Dan Li, Yang Yang, Hongyin Tang, Jiahao Liu, Qifan Wang, Jingang Wang, Tong Xu, Wei Wu, and Enhong Chen. 2022. VIRT: Improving Representation-based Text Matching via Virtual Interaction. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 914–925, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
can_nli_provide_proper_indirect_supervision_for_lowresource_biomedical_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
offer_a_different_perspective_modeling_the_belief_alignment_of_arguments_in_multiparty_debates,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.818,sia-etal-2022-offer,"Suzanna Sia, Kokil Jaidka, Hansin Ahuja, Niyati Chhaya, and Kevin Duh. 2022. Offer a Different Perspective: Modeling the Belief Alignment of Arguments in Multi-party Debates. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11939–11950, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
iitb_system_for_conll_2013_shared_task_a_hybrid_approach_to_grammatical_error_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ranger_a_toolkit_for_effectsize_based_multitask_evaluation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
we_need_to_talk_about_standard_splits,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
muler_detailed_and_scalable_referencebased_evaluation,December,2023.0,CoNLL,https://aclanthology.org/2023.conll-1.29,karidi-etal-2023-muler,"Taelin Karidi, Leshem Choshen, Gal Patel, and Omri Abend. 2023. MuLER: Detailed and Scalable Reference-based Evaluation. In Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL), pages 436–455, Singapore. Association for Computational Linguistics."
llm_comparative_assessment_zeroshot_nlg_evaluation_through_pairwise_comparisons_using_large_language_models,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.8,liusie-etal-2024-llm,"Adian Liusie, Potsawee Manakul, and Mark Gales. 2024. LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 139–151, St. Julian’s, Malta. Association for Computational Linguistics."
a_hierarchical_bayesian_model_for_unsupervised_induction_of_script_knowledge,April,2014.0,EACL,https://aclanthology.org/E14-1006,frermann-etal-2014-hierarchical,"Lea Frermann, Ivan Titov, and Manfred Pinkal. 2014. A Hierarchical Bayesian Model for Unsupervised Induction of Script Knowledge. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 49–57, Gothenburg, Sweden. Association for Computational Linguistics."
generating_natural_language_adversarial_examples_through_probability_weighted_word_saliency,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
deer_descriptive_knowledge_graph_for_explaining_entity_relationships,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semantic_representation_for_dialogue_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mitigating_overgeneration_for_unsupervised_keyphrase_extraction_with_heterogeneous_centrality_detection,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.1017,song-etal-2023-mitigating,"Mingyang Song, Pengyu Xu, Yi Feng, Huafeng Liu, and Liping Jing. 2023. Mitigating Over-Generation for Unsupervised Keyphrase Extraction with Heterogeneous Centrality Detection. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16349–16359, Singapore. Association for Computational Linguistics."
discourse_context_predictability_effects_in_hindi_word_order,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.710,ranjan-etal-2022-discourse,"Sidharth Ranjan, Marten van Schijndel, Sumeet Agarwal, and Rajakrishnan Rajkumar. 2022. Discourse Context Predictability Effects in Hindi Word Order. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10390–10406, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
inducertuning_connecting_prefixtuning_and_adaptertuning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
uncertainty_guided_global_memory_improves_multihop_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
valueagnostic_conversational_semantic_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
trading_syntax_trees_for_wordpieces_targetoriented_opinion_words_extraction_with_wordpieces_and_aspect_enhancement,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dual_latent_variable_model_for_lowresource_natural_language_generation_in_dialogue_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
explaining_and_improving_bert_performance_on_lexical_semantic_change_detection,April,2021.0,EACL,https://aclanthology.org/2021.eacl-srw.25,laicher-etal-2021-explaining,"Severin Laicher, Sinan Kurtyigit, Dominik Schlechtweg, Jonas Kuhn, and Sabine Schulte im Walde. 2021. Explaining and Improving BERT Performance on Lexical Semantic Change Detection. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 192–202, Online. Association for Computational Linguistics."
adalogn_adaptive_logic_graph_network_for_reasoningbased_machine_reading_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
understanding_the_effect_of_model_compression_on_social_bias_in_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
why_is_mbti_personality_detection_from_texts_a_difficult_task,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.312,stajner-yenikent-2021-mbti,"Sanja Stajner and Seren Yenikent. 2021. Why Is MBTI Personality Detection from Texts a Difficult Task?. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3580–3589, Online. Association for Computational Linguistics."
noisycontext_surprisal_as_a_human_sentence_processing_cost_model,April,2017.0,EACL,https://aclanthology.org/E17-1065,futrell-levy-2017-noisy,"Richard Futrell and Roger Levy. 2017. Noisy-context surprisal as a human sentence processing cost model. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 688–698, Valencia, Spain. Association for Computational Linguistics."
editing_large_language_models_problems_methods_and_opportunities,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.632,yao-etal-2023-editing,"Yunzhi Yao, Peng Wang, Bozhong Tian, Siyuan Cheng, Zhoubo Li, Shumin Deng, Huajun Chen, and Ningyu Zhang. 2023. Editing Large Language Models: Problems, Methods, and Opportunities. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 10222–10240, Singapore. Association for Computational Linguistics."
web_text_corpus_for_natural_language_processing,April,2006.0,EACL,https://aclanthology.org/E06-1030,liu-curran-2006-web,"Vinci Liu and James R. Curran. 2006. Web Text Corpus for Natural Language Processing. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 233–240, Trento, Italy. Association for Computational Linguistics."
interconnected_question_generation_with_coreference_alignment_and_conversation_flow_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mlbinet_a_crosssentence_collective_event_detection_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
differentiable_window_for_dynamic_local_attention,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multiinput_attention_for_unsupervised_ocr_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
effidit_an_assistant_for_improving_writing_efficiency,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
elang_energybased_joint_inferencing_of_super_and_swift_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluating_evaluation_measures_for_ordinal_classification_and_ordinal_quantification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
metaadapt_domain_adaptive_fewshot_misinformation_detection_via_meta_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
detecting_perceived_emotions_in_hurricane_disasters,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_surprisingly_robust_trick_for_the_winograd_schema_challenge,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
queryascontext_pretraining_for_dense_passage_retrieval,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_unified_framework_for_grammar_error_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generating_narrative_text_in_a_switching_dynamical_system,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_embed_semantic_correspondence_for_natural_language_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tagging_and_linking_web_forum_posts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
what_social_attitudes_about_gender_does_bert_encode_leveraging_insights_from_psycholinguistics,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_knowledge_production_efficiency_with_question_answering_on_conversation,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.22,yang-etal-2023-improving,"Changlin Yang, Siye Liu, Sen Hu, Wangshu Zhang, Teng Xu, and Jing Zheng. 2023. Improving Knowledge Production Efficiency With Question Answering on Conversation. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 225–234, Toronto, Canada. Association for Computational Linguistics."
easy_as_abc_facilitating_pictorial_communication_via_semantically_enhanced_layout,August,2008.0,CoNLL,https://aclanthology.org/W08-2116,goldberg-etal-2008-easy,"Andrew B. Goldberg, Xiaojin Zhu, Charles R. Dyer, Mohamed Eldawy, and Lijie Heng. 2008. Easy as ABC? Facilitating Pictorial Communication via Semantically Enhanced Layout. In CoNLL 2008: Proceedings of the Twelfth Conference on Computational Natural Language Learning, pages 119–126, Manchester, England. Coling 2008 Organizing Committee."
parasci_a_large_scientific_paraphrase_dataset_for_longer_paraphrase_generation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.33,dong-etal-2021-parasci,"Qingxiu Dong, Xiaojun Wan, and Yue Cao. 2021. ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 424–434, Online. Association for Computational Linguistics."
computational_natural_language_learning_20years_data_features_multimodal_bioplausible,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sciconceptminer_a_system_for_largescale_scientific_concept_discovery,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semisupervised_semantic_dependency_parsing_using_crf_autoencoders,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
big_data_small_data_in_domain_outof_domain_known_word_unknown_word_the_impact_of_word_representations_on_sequence_labelling_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploration_of_the_usage_of_color_terms_by_colorblind_participants_in_online_discussion_platforms,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.447,rabinovich-carmeli-2022-exploration,"Ella Rabinovich and Boaz Carmeli. 2022. Exploration of the Usage of Color Terms by Color-blind Participants in Online Discussion Platforms. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6673–6685, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
predicting_depression_in_screening_interviews_from_latent_categorization_of_interview_prompts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
selective_incontext_data_augmentation_for_intent_detection_using_pointwise_vinformation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_from_omission,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
predictive_biases_in_natural_language_processing_models_a_conceptual_framework_and_overview,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_anchorbased_relative_position_embedding_method_for_crossmodal_tasks,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.362,wang-etal-2022-anchor,"Ya Wang, Xingwu Sun, Lian Fengzong, ZhanHui Kang, and Chengzhong Xu Xu. 2022. An Anchor-based Relative Position Embedding Method for Cross-Modal Tasks. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5401–5413, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
how_large_language_models_are_transforming_machineparaphrase_plagiarism,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.62,wahle-etal-2022-large,"Jan Philip Wahle, Terry Ruas, Frederic Kirstein, and Bela Gipp. 2022. How Large Language Models are Transforming Machine-Paraphrase Plagiarism. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 952–963, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
its_all_relative_learning_interpretable_models_for_scoring_subjective_bias_in_documents_from_pairwise_comparisons,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.81,suresh-etal-2024-relative,"Aswin Suresh, Wu Hsuan, and Matthias Grossglauser. 2024. It’s All Relative: Learning Interpretable Models for Scoring Subjective Bias in Documents from Pairwise Comparisons. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1341–1353, St. Julian’s, Malta. Association for Computational Linguistics."
unsupervised_crossdomain_prerequisite_chain_learning_using_variational_graph_autoencoders,August,2021.0,,https://aclanthology.org/2021.acl-short.127,li-etal-2021-unsupervised-cross,"Irene Li, Vanessa Yan, Tianxiao Li, Rihao Qu, and Dragomir Radev. 2021. Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 1005–1011, Online. Association for Computational Linguistics."
authorship_attribution_using_text_distortion,April,2017.0,EACL,https://aclanthology.org/E17-1107,stamatatos-2017-authorship,"Efstathios Stamatatos. 2017. Authorship Attribution Using Text Distortion. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 1138–1149, Valencia, Spain. Association for Computational Linguistics."
englishtochinese_transliteration_with_phonetic_auxiliary_task,December,2020.0,AACL,https://aclanthology.org/2020.aacl-main.40,he-cohen-2020-english,"Yuan He and Shay B. Cohen. 2020. English-to-Chinese Transliteration with Phonetic Auxiliary Task. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, pages 378–388, Suzhou, China. Association for Computational Linguistics."
you_impress_me_dialogue_generation_via_mutual_persona_perception,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
interview_evaluation_a_novel_approach_for_automatic_evaluation_of_conversational_question_answering_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
globalbench_a_benchmark_for_global_progress_in_natural_language_processing,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.875,song-etal-2023-globalbench,"Yueqi Song, Simran Khanuja, Pengfei Liu, Fahim Faisal, Alissa Ostapenko, Genta Winata, Alham Fikri Aji, Samuel Cahyawijaya, Yulia Tsvetkov, Antonios Anastasopoulos, and Graham Neubig. 2023. GlobalBench: A Benchmark for Global Progress in Natural Language Processing. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 14157–14171, Singapore. Association for Computational Linguistics."
a_hierarchical_neural_model_for_learning_sequences_of_dialogue_acts,April,2017.0,EACL,https://aclanthology.org/E17-1041,tran-etal-2017-hierarchical,"Quan Hung Tran, Ingrid Zukerman, and Gholamreza Haffari. 2017. A Hierarchical Neural Model for Learning Sequences of Dialogue Acts. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 428–437, Valencia, Spain. Association for Computational Linguistics."
converting_russian_dependency_treebank_to_stanford_typed_dependencies_representation,April,2014.0,EACL,https://aclanthology.org/E14-4028,lipenkova-soucek-2014-converting,"Janna Lipenkova and Milan Souček. 2014. Converting Russian Dependency Treebank to Stanford Typed Dependencies Representation. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 143–147, Gothenburg, Sweden. Association for Computational Linguistics."
rationalizing_medical_relation_prediction_from_corpuslevel_statistics,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.719,wang-etal-2020-rationalizing,"Zhen Wang, Jennifer Lee, Simon Lin, and Huan Sun. 2020. Rationalizing Medical Relation Prediction from Corpus-level Statistics. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8078–8092, Online. Association for Computational Linguistics."
incorporating_worker_perspectives_into_mturk_annotation_practices_for_nlp,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
toward_humanlike_evaluation_for_natural_language_generation_with_error_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_rose_by_any_other_name_would_not_smell_as_sweet_social_bias_in_names_mistranslation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
verbose_laconic_or_just_right_a_simple_computational_model_of_content_appropriateness_under_length_constraints,April,2014.0,EACL,https://aclanthology.org/E14-1067,louis-nenkova-2014-verbose,"Annie Louis and Ani Nenkova. 2014. Verbose, Laconic or Just Right: A Simple Computational Model of Content Appropriateness under Length Constraints. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 636–644, Gothenburg, Sweden. Association for Computational Linguistics."
integrated_directional_gradients_feature_interaction_attribution_for_neural_nlp_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_preference_model_for_llms_via_automatic_preference_data_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bertese_learning_to_speak_to_bert,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.316,haviv-etal-2021-bertese,"Adi Haviv, Jonathan Berant, and Amir Globerson. 2021. BERTese: Learning to Speak to BERT. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3618–3623, Online. Association for Computational Linguistics."
does_selfrationalization_improve_robustness_to_spurious_correlations,July,2022.0,Findings,https://aclanthology.org/2022.findings-naacl.130,wang-etal-2022-identifying,"Tianlu Wang, Rohit Sridhar, Diyi Yang, and Xuezhi Wang. 2022. Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models. In Findings of the Association for Computational Linguistics: NAACL 2022, pages 1719–1729, Seattle, United States. Association for Computational Linguistics."
opiniondigest_a_simple_framework_for_opinion_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lowresource_deep_entity_resolution_with_transfer_and_active_learning,July,2019.0,ACL,https://aclanthology.org/P19-1586,kasai-etal-2019-low,"Jungo Kasai, Kun Qian, Sairam Gurajada, Yunyao Li, and Lucian Popa. 2019. Low-resource Deep Entity Resolution with Transfer and Active Learning. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 5851–5861, Florence, Italy. Association for Computational Linguistics."
explaining_speech_classification_models_via_wordlevel_audio_segments_and_paralinguistic_features,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.136,pastor-etal-2024-explaining,"Eliana Pastor, Alkis Koudounas, Giuseppe Attanasio, Dirk Hovy, and Elena Baralis. 2024. Explaining Speech Classification Models via Word-Level Audio Segments and Paralinguistic Features. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2221–2238, St. Julian’s, Malta. Association for Computational Linguistics."
philosophers_are_mortal_inferring_the_truth_of_unseen_facts,August,2013.0,CoNLL,https://aclanthology.org/W13-3515,angeli-manning-2013-philosophers,"Gabor Angeli and Christopher Manning. 2013. Philosophers are Mortal: Inferring the Truth of Unseen Facts. In Proceedings of the Seventeenth Conference on Computational Natural Language Learning, pages 133–142, Sofia, Bulgaria. Association for Computational Linguistics."
investigating_automatic_alignment_methods_for_slide_generation_from_academic_papers,June,2009.0,CoNLL,https://aclanthology.org/W09-1115,beamer-girju-2009-investigating,"Brandon Beamer and Roxana Girju. 2009. Investigating Automatic Alignment Methods for Slide Generation from Academic Papers. In Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL-2009), pages 111–119, Boulder, Colorado. Association for Computational Linguistics."
how_to_disagree_well_investigating_the_dispute_tactics_used_on_wikipedia,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ildae_instancelevel_difficulty_analysis_of_evaluation_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
zcode_a_pretrained_language_model_optimized_for_abstractive_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
what_do_dialect_speakers_want_a_survey_of_attitudes_towards_language_technology_for_german_dialects,August,2024.0,ACL,https://aclanthology.org/2024.acl-short.74,blaschke-etal-2024-dialect,"Verena Blaschke, Christoph Purschke, Hinrich Schuetze, and Barbara Plank. 2024. What Do Dialect Speakers Want? A Survey of Attitudes Towards Language Technology for German Dialects. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 823–841, Bangkok, Thailand. Association for Computational Linguistics."
iam_a_comprehensive_and_largescale_dataset_for_integrated_argument_mining_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automated_metrics_for_medical_multidocument_summarization_disagree_with_human_evaluations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_facial_expressionaware_multimodal_multitask_learning_framework_for_emotion_recognition_in_multiparty_conversations,July,2023.0,ACL,https://aclanthology.org/2023.acl-long.861,zheng-etal-2023-facial,"Wenjie Zheng, Jianfei Yu, Rui Xia, and Shijin Wang. 2023. A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party Conversations. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 15445–15459, Toronto, Canada. Association for Computational Linguistics."
reverse_engineering_configurations_of_neural_text_generation_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multiperspective_coherent_reasoning_for_helpfulness_prediction_of_multimodal_reviews,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
determining_case_in_arabic_learning_complex_linguistic_behavior_requires_complex_linguistic_features,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
training_simultaneous_speech_translation_with_robust_and_random_waitktokens_strategy,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_lossless_encoding_of_sentences,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
incorporating_priors_with_feature_attribution_on_text_classification,July,2019.0,ACL,https://aclanthology.org/P19-1631,liu-avci-2019-incorporating,"Frederick Liu and Besim Avci. 2019. Incorporating Priors with Feature Attribution on Text Classification. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 6274–6283, Florence, Italy. Association for Computational Linguistics."
multimodal_language_analysis_in_the_wild_cmumosei_dataset_and_interpretable_dynamic_fusion_graph,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dependency_graph_enhanced_dualtransformer_structure_for_aspectbased_sentiment_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
determinantal_beam_search,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crslab_an_opensource_toolkit_for_building_conversational_recommender_system,August,2021.0,,https://aclanthology.org/2021.acl-demo.22,zhou-etal-2021-crslab,"Kun Zhou, Xiaolei Wang, Yuanhang Zhou, Chenzhan Shang, Yuan Cheng, Wayne Xin Zhao, Yaliang Li, and Ji-Rong Wen. 2021. CRSLab: An Open-Source Toolkit for Building Conversational Recommender System. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations, pages 185–193, Online. Association for Computational Linguistics."
an_iterative_similarity_based_adaptation_technique_for_crossdomain_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rumor_detection_on_twitter_with_treestructured_recursive_neural_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
longtriever_a_pretrained_long_text_encoder_for_dense_document_retrieval,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
parsing_syntactic_and_semantic_dependencies_with_two_singlestage_maximum_entropy_models,August,2008.0,CoNLL,https://aclanthology.org/W08-2127,zhao-kit-2008-parsing,"Hai Zhao and Chunyu Kit. 2008. Parsing Syntactic and Semantic Dependencies with Two Single-Stage Maximum Entropy Models. In CoNLL 2008: Proceedings of the Twelfth Conference on Computational Natural Language Learning, pages 203–207, Manchester, England. Coling 2008 Organizing Committee."
language_model_augmented_relevance_score,August,2021.0,,https://aclanthology.org/2021.acl-long.521,liu-etal-2021-language,"Ruibo Liu, Jason Wei, and Soroush Vosoughi. 2021. Language Model Augmented Relevance Score. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 6677–6690, Online. Association for Computational Linguistics."
lmpolygraph_uncertainty_estimation_for_language_models,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-demo.41,fadeeva-etal-2023-lm,"Ekaterina Fadeeva, Roman Vashurin, Akim Tsvigun, Artem Vazhentsev, Sergey Petrakov, Kirill Fedyanin, Daniil Vasilev, Elizaveta Goncharova, Alexander Panchenko, Maxim Panov, Timothy Baldwin, and Artem Shelmanov. 2023. LM-Polygraph: Uncertainty Estimation for Language Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 446–461, Singapore. Association for Computational Linguistics."
improving_word_alignment_by_semisupervised_ensemble,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_text_classification_by_a_sense_spectrum_approach_to_term_expansion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_how_generative_adversarial_networks_learn_phonological_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
veract_scan_retrievalaugmented_fake_news_detection_with_justifiable_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_textbased_search_interface_for_multimedia_dialectics,April,2009.0,EACL,https://aclanthology.org/E09-2014,pastra-balta-2009-text,"Katerina Pastra and Eirini Balta. 2009. A Text-Based Search Interface for Multimedia Dialectics. In Proceedings of the Demonstrations Session at EACL 2009, pages 53–56, Athens, Greece. Association for Computational Linguistics."
densecaption_matching_and_frameselection_gating_for_temporal_localization_in_videoqa,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
which_is_the_effective_way_for_gaokao_information_retrieval_or_neural_networks,April,2017.0,EACL,https://aclanthology.org/E17-1011,guo-etal-2017-effective,"Shangmin Guo, Xiangrong Zeng, Shizhu He, Kang Liu, and Jun Zhao. 2017. Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks?. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 111–120, Valencia, Spain. Association for Computational Linguistics."
japaneseenglish_sentence_translation_exercises_dataset_for_automatic_grading,March,2024.0,EACL,https://aclanthology.org/2024.eacl-srw.21,miura-etal-2024-japanese,"Naoki Miura, Hiroaki Funayama, Seiya Kikuchi, Yuichiroh Matsubayashi, Yuya Iwase, and Kentaro Inui. 2024. Japanese-English Sentence Translation Exercises Dataset for Automatic Grading. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 266–278, St. Julian’s, Malta. Association for Computational Linguistics."
a_little_linguistics_goes_a_long_way_unsupervised_segmentation_with_limited_language_specific_guidance,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
massively_multilingual_event_understanding_extraction_visualization_and_search,July,2023.0,ACL,https://aclanthology.org/2023.acl-demo.23,jenkins-etal-2023-massively,"Chris Jenkins, Shantanu Agarwal, Joel Barry, Steven Fincke, and Elizabeth Boschee. 2023. Massively Multi-Lingual Event Understanding: Extraction, Visualization, and Search. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 247–256, Toronto, Canada. Association for Computational Linguistics."
a_survey_of_computational_framing_analysis_approaches,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.633,ali-hassan-2022-survey,"Mohammad Ali and Naeemul Hassan. 2022. A Survey of Computational Framing Analysis Approaches. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9335–9348, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
clinical_contradiction_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_solve_nlp_tasks_in_an_incremental_number_of_languages,August,2021.0,,https://aclanthology.org/2021.acl-short.106,castellucci-etal-2021-learning,"Giuseppe Castellucci, Simone Filice, Danilo Croce, and Roberto Basili. 2021. Learning to Solve NLP Tasks in an Incremental Number of Languages. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 837–847, Online. Association for Computational Linguistics."
syntactic_substitutability_as_unsupervised_dependency_syntax,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
textoir_an_integrated_and_visualized_platform_for_text_open_intent_recognition,August,2021.0,,https://aclanthology.org/2021.acl-demo.20,zhang-etal-2021-textoir,"Hanlei Zhang, Xiaoteng Li, Hua Xu, Panpan Zhang, Kang Zhao, and Kai Gao. 2021. TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations, pages 167–174, Online. Association for Computational Linguistics."
jointly_learning_semantic_parser_and_natural_language_generator_via_dual_information_maximization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
contextual_semantic_parsing_for_multilingual_taskoriented_dialogues,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.63,moradshahi-etal-2023-contextual,"Mehrad Moradshahi, Victoria Tsai, Giovanni Campagna, and Monica Lam. 2023. Contextual Semantic Parsing for Multilingual Task-Oriented Dialogues. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 902–915, Dubrovnik, Croatia. Association for Computational Linguistics."
extracting_symptoms_and_their_status_from_clinical_conversations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sharp_nearby_fuzzy_far_away_how_neural_language_models_use_context,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
theorygrounded_computational_text_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
language_embeddings_for_typology_and_crosslingual_transfer_learning,August,2021.0,,https://aclanthology.org/2021.acl-long.560,yu-etal-2021-language,"Dian Yu, Taiqi He, and Kenji Sagae. 2021. Language Embeddings for Typology and Cross-lingual Transfer Learning. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 7210–7225, Online. Association for Computational Linguistics."
schaman_spellchecking_resources_and_benchmark_for_endangered_languages_from_amazonia,November,2022.0,,https://aclanthology.org/2022.aacl-short.51,oncevay-etal-2022-schaman,"Arturo Oncevay, Gerardo Cardoso, Carlo Alva, César Lara Ávila, Jovita Vásquez Balarezo, Saúl Escobar Rodríguez, Delio Siticonatzi Camaiteri, Esaú Zumaeta Rojas, Didier López Francis, Juan López Bautista, Nimia Acho Rios, Remigio Zapata Cesareo, Héctor Erasmo Gómez Montoya, and Roberto Zariquiey. 2022. SchAman: Spell-Checking Resources and Benchmark for Endangered Languages from Amazonia. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 411–417, Online only. Association for Computational Linguistics."
graph_attention_network_with_memory_fusion_for_aspectlevel_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
recosa_detecting_the_relevant_contexts_with_selfattention_for_multiturn_dialogue_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rethinking_masked_language_modeling_for_chinese_spelling_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mitigating_gender_bias_in_natural_language_processing_literature_review,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
moextend_tuning_new_experts_for_modality_and_task_extension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
headsup_unsupervised_constituency_parsing_via_selfattention_heads,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
normalizing_noncanonical_turkish_texts_using_machine_translation_approaches,July,2019.0,ACL,https://aclanthology.org/P19-2037,colakoglu-etal-2019-normalizing,"Talha Çolakoğlu, Umut Sulubacak, and Ahmet Cüneyd Tantuğ. 2019. Normalizing Non-canonical Turkish Texts Using Machine Translation Approaches. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 267–272, Florence, Italy. Association for Computational Linguistics."
simulating_bandit_learning_from_user_feedback_for_extractive_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
jaist_a_twophase_machine_learning_approach_for_identifying_discourse_relations_in_newswire_texts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hybrid_dialog_state_tracker_with_asr_features,April,2017.0,EACL,https://aclanthology.org/E17-2033,vodolan-etal-2017-hybrid,"Miroslav Vodolán, Rudolf Kadlec, and Jan Kleindienst. 2017. Hybrid Dialog State Tracker with ASR Features. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 205–210, Valencia, Spain. Association for Computational Linguistics."
inducing_examplebased_semantic_frames_from_a_massive_amount_of_verb_uses,April,2014.0,EACL,https://aclanthology.org/E14-1007,kawahara-etal-2014-inducing,"Daisuke Kawahara, Daniel Peterson, Octavian Popescu, and Martha Palmer. 2014. Inducing Example-based Semantic Frames from a Massive Amount of Verb Uses. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 58–67, Gothenburg, Sweden. Association for Computational Linguistics."
hardcoded_gaussian_attention_for_neural_machine_translation,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.687,you-etal-2020-hard,"Weiqiu You, Simeng Sun, and Mohit Iyyer. 2020. Hard-Coded Gaussian Attention for Neural Machine Translation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 7689–7700, Online. Association for Computational Linguistics."
text_embeddings_reveal_almost_as_much_as_text,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.765,morris-etal-2023-text,"John Morris, Volodymyr Kuleshov, Vitaly Shmatikov, and Alexander Rush. 2023. Text Embeddings Reveal (Almost) As Much As Text. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12448–12460, Singapore. Association for Computational Linguistics."
selfadaptive_named_entity_recognition_by_retrieving_unstructured_knowledge,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.233,nishida-etal-2023-self,"Kosuke Nishida, Naoki Yoshinaga, and Kyosuke Nishida. 2023. Self-Adaptive Named Entity Recognition by Retrieving Unstructured Knowledge. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3193–3205, Dubrovnik, Croatia. Association for Computational Linguistics."
scaffolded_input_promotes_atomic_organization_in_the_recurrent_neural_network_language_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
acenet_attention_guided_commonsense_reasoning_on_hybrid_knowledge_graph,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.579,hao-etal-2022-acenet,"Chuzhan Hao, Minghui Xie, and Peng Zhang. 2022. ACENet: Attention Guided Commonsense Reasoning on Hybrid Knowledge Graph. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8461–8471, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
smaller_language_models_are_better_zeroshot_machinegenerated_text_detectors,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.25,mireshghallah-etal-2024-smaller,"Niloofar Mireshghallah, Justus Mattern, Sicun Gao, Reza Shokri, and Taylor Berg-Kirkpatrick. 2024. Smaller Language Models are Better Zero-shot Machine-Generated Text Detectors. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 278–293, St. Julian’s, Malta. Association for Computational Linguistics."
investigating_audio_video_and_text_fusion_methods_for_endtoend_automatic_personality_prediction,July,2018.0,ACL,https://aclanthology.org/P18-2096,kampman-etal-2018-investigating,"Onno Kampman, Elham J. Barezi, Dario Bertero, and Pascale Fung. 2018. Investigating Audio, Video, and Text Fusion Methods for End-to-End Automatic Personality Prediction. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 606–611, Melbourne, Australia. Association for Computational Linguistics."
semantic_sensitivities_and_inconsistent_predictions_measuring_the_fragility_of_nli_models,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.27,arakelyan-etal-2024-semantic,"Erik Arakelyan, Zhaoqi Liu, and Isabelle Augenstein. 2024. Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 432–444, St. Julian’s, Malta. Association for Computational Linguistics."
medjex_a_medical_jargon_extraction_model_with_wikis_hyperlink_span_and_contextualized_masked_language_model_score,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.805,kwon-etal-2022-medjex,"Sunjae Kwon, Zonghai Yao, Harmon Jordan, David Levy, Brian Corner, and Hong Yu. 2022. MedJEx: A Medical Jargon Extraction Model with Wiki’s Hyperlink Span and Contextualized Masked Language Model Score. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11733–11751, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
restricted_or_not_a_general_training_framework_for_neural_machine_translation,May,2022.0,ACL,https://aclanthology.org/2022.acl-srw.18,li-etal-2022-restricted,"Zuchao Li, Masao Utiyama, Eiichiro Sumita, and Hai Zhao. 2022. Restricted or Not: A General Training Framework for Neural Machine Translation. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 245–251, Dublin, Ireland. Association for Computational Linguistics."
jamp_controlled_japanese_temporal_inference_dataset_for_evaluating_generalization_capacity_of_language_models,July,2023.0,ACL,https://aclanthology.org/2023.acl-srw.8,sugimoto-etal-2023-jamp,"Tomoki Sugimoto, Yasumasa Onoe, and Hitomi Yanaka. 2023. Jamp: Controlled Japanese Temporal Inference Dataset for Evaluating Generalization Capacity of Language Models. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), pages 57–68, Toronto, Canada. Association for Computational Linguistics."
extractive_summarization_considering_discourse_and_coreference_relations_based_on_heterogeneous_graph,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.265,huang-kurohashi-2021-extractive,"Yin Jou Huang and Sadao Kurohashi. 2021. Extractive Summarization Considering Discourse and Coreference Relations based on Heterogeneous Graph. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3046–3052, Online. Association for Computational Linguistics."
share_a_system_for_hierarchical_assistive_recipe_editing,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.761,li-etal-2022-share,"Shuyang Li, Yufei Li, Jianmo Ni, and Julian McAuley. 2022. SHARE: a System for Hierarchical Assistive Recipe Editing. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11077–11090, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
canary_extraction_in_natural_language_understanding_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
guess_me_if_you_can_acronym_disambiguation_for_enterprises,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reinceptione_relationaware_inception_network_with_joint_localglobal_structural_information_for_knowledge_graph_embedding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hiddencut_simple_data_augmentation_for_natural_language_understanding_with_better_generalizability,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
continual_dialogue_state_tracking_via_exampleguided_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
knowledge_rumination_for_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
trueteacher_learning_factual_consistency_evaluation_with_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
structurelevel_knowledge_distillation_for_multilingual_sequence_labeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_unified_model_for_reverse_dictionary_and_definition_modelling,November,2022.0,,https://aclanthology.org/2022.aacl-short.2,chen-zhao-2022-unified,"Pinzhen Chen and Zheng Zhao. 2022. A Unified Model for Reverse Dictionary and Definition Modelling. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 8–13, Online only. Association for Computational Linguistics."
using_twitter_language_to_predict_the_real_estate_market,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
predicting_intervention_approval_in_clinical_trials_through_multidocument_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
racai_gec__a_hybrid_approach_to_grammatical_error_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
zeroshot_transfer_learning_with_synthesized_data_for_multidomain_dialogue_state_tracking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
how_to_produce_unseen_teddy_bears_improved_morphological_processing_of_compounds_in_smt,April,2014.0,EACL,https://aclanthology.org/E14-1061,cap-etal-2014-produce,"Fabienne Cap, Alexander Fraser, Marion Weller, and Aoife Cahill. 2014. How to Produce Unseen Teddy Bears: Improved Morphological Processing of Compounds in SMT. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 579–587, Gothenburg, Sweden. Association for Computational Linguistics."
hyperrouter_towards_efficient_training_and_inference_of_sparse_mixture_of_experts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
interpret_an_interactive_visualization_tool_for_interpreting_transformers,April,2021.0,EACL,https://aclanthology.org/2021.eacl-demos.17,lal-etal-2021-interpret,"Vasudev Lal, Arden Ma, Estelle Aflalo, Phillip Howard, Ana Simoes, Daniel Korat, Oren Pereg, Gadi Singer, and Moshe Wasserblat. 2021. InterpreT: An Interactive Visualization Tool for Interpreting Transformers. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 135–142, Online. Association for Computational Linguistics."
variance_of_average_surprisal_a_better_predictor_for_quality_of_grammar_from_unsupervised_pcfg_induction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dynamic_sentence_sampling_for_efficient_training_of_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gqa_training_generalized_multiquery_transformer_models_from_multihead_checkpoints,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generating_biographies_on_wikipedia_the_impact_of_gender_bias_on_the_retrievalbased_generation_of_women_biographies,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
travel_tagaware_conversational_faq_retrieval_via_reinforcement_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
aggregating_multiple_heuristic_signals_as_supervision_for_unsupervised_automated_essay_scoring,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_teachable_reasoning_systems_using_a_dynamic_memory_of_user_feedback_for_continual_system_improvement,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.644,dalvi-mishra-etal-2022-towards,"Bhavana Dalvi Mishra, Oyvind Tafjord, and Peter Clark. 2022. Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvement. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9465–9480, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
tcfle8_a_corpus_of_learner_written_productions_for_french_as_a_foreign_language_and_its_application_to_automated_essay_scoring,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
debiasing_made_stateoftheart_revisiting_the_simple_seedbased_weak_supervision_for_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dynamic_sampling_strategies_for_multitask_reading_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
named_entity_recognition_with_small_strongly_labeled_and_large_weakly_labeled_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
empathyear_an_opensource_avatar_multimodal_empathetic_chatbot,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
measuring_contextword_biases_in_lexical_semantic_datasets,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.173,liu-etal-2022-measuring,"Qianchu Liu, Diana McCarthy, and Anna Korhonen. 2022. Measuring Context-Word Biases in Lexical Semantic Datasets. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 2699–2713, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
structural_generalization_is_hard_for_sequencetosequence_models,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.337,yao-koller-2022-structural,"Yuekun Yao and Alexander Koller. 2022. Structural generalization is hard for sequence-to-sequence models. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5048–5062, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
make_up_your_mind_adversarial_generation_of_inconsistent_natural_language_explanations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adversarial_learning_of_poisson_factorisation_model_for_gauging_brand_sentiment_in_user_reviews,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.199,zhao-etal-2021-adversarial,"Runcong Zhao, Lin Gui, Gabriele Pergola, and Yulan He. 2021. Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2341–2351, Online. Association for Computational Linguistics."
a_unified_framework_for_emotion_identification_and_generation_in_dialogues,May,2023.0,EACL,https://aclanthology.org/2023.eacl-srw.7,madasu-etal-2023-unified,"Avinash Madasu, Mauajama Firdaus, and Asif Ekbal. 2023. A Unified Framework for Emotion Identification and Generation in Dialogues. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 73–78, Dubrovnik, Croatia. Association for Computational Linguistics."
mixtext_linguisticallyinformed_interpolation_of_hidden_space_for_semisupervised_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_and_crosslingual_graded_lexical_entailment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_negate_adjectives_with_bilinear_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
treebank_embedding_vectors_for_outofdomain_dependency_parsing,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.778,wagner-etal-2020-treebank,"Joachim Wagner, James Barry, and Jennifer Foster. 2020. Treebank Embedding Vectors for Out-of-Domain Dependency Parsing. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8812–8818, Online. Association for Computational Linguistics."
using_pseudosenses_for_improving_the_extraction_of_synonyms_from_word_embeddings,March,2024.0,,https://aclanthology.org/2024.caldpseudo-1,UNKNOWN_BIBKEY,N/A
skweak_weak_supervision_made_easy_for_nlp,August,2021.0,,https://aclanthology.org/2021.acl-demo.40,lison-etal-2021-skweak,"Pierre Lison, Jeremy Barnes, and Aliaksandr Hubin. 2021. skweak: Weak Supervision Made Easy for NLP. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations, pages 337–346, Online. Association for Computational Linguistics."
constraint_based_integration_of_deep_and_shallow_parsing_techniques,April,2003.0,EACL,https://aclanthology.org/E03-1052,daum-etal-2003-constraint,"Michael Daum, Kilian A. Foth, and Wolfgang Menzel. 2003. Constraint Based Integration of Deep and Shallow Parsing Techniques. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
the_price_of_debiasing_automatic_metrics_in_natural_language_evalaution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_webbased_procedures_by_reasoning_over_explanations_and_demonstrations_in_context,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
in_laymans_terms_semiopen_relation_extraction_from_scientific_texts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_the_capacity_of_pretrained_language_models_for_reasoning_about_actions_and_change,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
simple_and_effective_retrieveeditrerank_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
and_does_not_mean_or_using_formal_languages_to_study_language_models_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
topwordsseg_simultaneous_text_segmentation_and_word_discovery_for_opendomain_chinese_texts_via_bayesian_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_melodytolyrics_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
word_ordering_with_phrasebased_grammars,April,2014.0,EACL,https://aclanthology.org/E14-1028,de-gispert-etal-2014-word,"Adrià de Gispert, Marcus Tomalin, and Bill Byrne. 2014. Word Ordering with Phrase-Based Grammars. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 259–268, Gothenburg, Sweden. Association for Computational Linguistics."
improving_the_lexical_function_composition_model_with_pathwise_optimized_elasticnet_regression,August,2024.0,Findings,https://aclanthology.org/2024.findings-acl,UNKNOWN_BIBKEY,N/A
automatic_generation_of_high_quality_ccgbanks_for_parser_domain_adaptation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crosslingual_knowledge_graph_alignment_via_graph_matching_neural_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
focused_entailment_graphs_for_open_ie_propositions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
longdistance_dependencies_dont_have_to_be_long_simplifying_through_provably_approximately_optimal_permutations,July,2019.0,ACL,https://aclanthology.org/P19-2012,bommasani-2019-long,"Rishi Bommasani. 2019. Long-Distance Dependencies Don’t Have to Be Long: Simplifying through Provably (Approximately) Optimal Permutations. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 89–99, Florence, Italy. Association for Computational Linguistics."
desiderata_for_the_context_use_of_question_answering_systems,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.47,shaier-etal-2024-desiderata,"Sagi Shaier, Lawrence Hunter, and Katharina von der Wense. 2024. Desiderata For The Context Use Of Question Answering Systems. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 777–792, St. Julian’s, Malta. Association for Computational Linguistics."
a_novel_alignmentbased_approach_for_parseval_measuress,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nationality_bias_in_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
scriptwriter_narrativeguided_script_generation,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.765,zhu-etal-2020-scriptwriter,"Yutao Zhu, Ruihua Song, Zhicheng Dou, Jian-Yun Nie, and Jin Zhou. 2020. ScriptWriter: Narrative-Guided Script Generation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8647–8657, Online. Association for Computational Linguistics."
instances_and_concepts_in_distributional_space,April,2017.0,EACL,https://aclanthology.org/E17-2013,boleda-etal-2017-instances,"Gemma Boleda, Abhijeet Gupta, and Sebastian Padó. 2017. Instances and concepts in distributional space. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 79–85, Valencia, Spain. Association for Computational Linguistics."
a_survey_of_codeswitching_linguistic_and_social_perspectives_for_language_technologies,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
qasem_parsing_texttotext_modeling_of_qabased_semantics,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unigdd_a_unified_generative_framework_for_goaloriented_documentgrounded_dialogue,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
none_of_the_above_measure_uncertainty_in_dialog_response_retrieval,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hitransformer_hierarchical_interactive_transformer_for_efficient_and_effective_long_document_modeling,August,2021.0,,https://aclanthology.org/2021.acl-short.107,wu-etal-2021-hi,"Chuhan Wu, Fangzhao Wu, Tao Qi, and Yongfeng Huang. 2021. Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 848–853, Online. Association for Computational Linguistics."
soft_language_clustering_for_multilingual_model_pretraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
analysing_lexical_semantic_change_with_contextualised_word_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_dual_encoder_architectures_for_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_benchmark_for_reasoning_with_spatial_prepositions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
integrating_translation_memories_into_nonautoregressive_machine_translation,12-13 April,1957.0,EarlyMT,https://aclanthology.org/1957.earlymt-1.0,earlymt-1957-research,"Léon Dostert. 1957. Research in Machine Translation. Georgetown University, edition."
narrativeplay_interactive_narrative_understanding,March,2024.0,EACL,https://aclanthology.org/2024.eacl-demo.10,zhao-etal-2024-narrativeplay,"Runcong Zhao, Wenjia Zhang, Jiazheng Li, Lixing Zhu, Yanran Li, Yulan He, and Lin Gui. 2024. NarrativePlay: Interactive Narrative Understanding. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 82–93, St. Julians, Malta. Association for Computational Linguistics."
endtoend_relation_extraction_using_neural_networks_and_markov_logic_networks,April,2017.0,EACL,https://aclanthology.org/E17-1077,pawar-etal-2017-end,"Sachin Pawar, Pushpak Bhattacharyya, and Girish Palshikar. 2017. End-to-end Relation Extraction using Neural Networks and Markov Logic Networks. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 818–827, Valencia, Spain. Association for Computational Linguistics."
gemini_controlling_the_sentencelevel_summary_style_in_abstractive_text_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_systematic_characterization_of_sampling_algorithms_for_openended_language_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
logical_reasoning_with_spanlevel_predictions_for_interpretable_and_robust_nli_models,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.251,stacey-etal-2022-logical,"Joe Stacey, Pasquale Minervini, Haim Dubossarsky, and Marek Rei. 2022. Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3809–3823, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
silver_self_data_augmentation_for_outofscope_detection_in_dialogues,November,2023.0,,https://aclanthology.org/2023.ijcnlp-main.3,ma-makino-2023-silver,"Chunpeng Ma and Takuya Makino. 2023. SILVER: Self Data Augmentation for Out-of-Scope Detection in Dialogues. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 26–38, Nusa Dua, Bali. Association for Computational Linguistics."
transformer_feedforward_layers_build_predictions_by_promoting_concepts_in_the_vocabulary_space,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.3,geva-etal-2022-transformer,"Mor Geva, Avi Caciularu, Kevin Wang, and Yoav Goldberg. 2022. Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 30–45, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
minimum_bayes_risk_decoding_for_system_combination_of_grammatical_error_correction_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tag_dynamic_programming_and_the_perceptron_for_efficient_featurerich_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
paraphrase_to_explicate_revealing_implicit_nouncompound_relations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
incremental_learning_from_scratch_for_taskoriented_dialogue_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_lowresource_crosslingual_document_retrieval_by_reranking_with_deep_bilingual_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_word_alignment_with_bridge_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_mixtureofexperts_framework_for_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
measuring_the_value_of_linguistics_a_case_study_from_st_lawrence_island_yupik,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_thematic_similarity_metric_from_article_sections_using_triplet_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
contributions_of_transformer_attention_heads_in_multi_and_crosslingual_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unitranser_a_unified_transformer_semantic_representation_framework_for_multimodal_taskoriented_dialog_system,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hierarchy_builder_organizing_textual_spans_into_a_hierarchy_to_facilitate_navigation,July,2023.0,ACL,https://aclanthology.org/2023.acl-demo.27,yair-etal-2023-hierarchy,"Itay Yair, Hillel Taub-Tabib, and Yoav Goldberg. 2023. Hierarchy Builder: Organizing Textual Spans into a Hierarchy to Facilitate Navigation. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 282–290, Toronto, Canada. Association for Computational Linguistics."
language_models_as_knowledge_bases_on_entity_representations_storage_capacity_and_paraphrased_queries,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.153,heinzerling-inui-2021-language,"Benjamin Heinzerling and Kentaro Inui. 2021. Language Models as Knowledge Bases: On Entity Representations, Storage Capacity, and Paraphrased Queries. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1772–1791, Online. Association for Computational Linguistics."
reproducibility_in_computational_linguistics_is_source_code_enough,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
probing_for_semantic_classes_diagnosing_the_meaning_content_of_word_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
interventional_rationalization,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.700,yue-etal-2023-interventional,"Linan Yue, Qi Liu, Li Wang, Yanqing An, Yichao Du, and Zhenya Huang. 2023. Interventional Rationalization. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11404–11418, Singapore. Association for Computational Linguistics."
empowering_crosslingual_behavioral_testing_of_nlp_models_with_typological_features,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ubiu_a_robust_system_for_resolving_unrestricted_coreference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_discerning_several_thousand_judgments_gpt3_rates_the_article__adjective__numeral__noun_construction,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.20,mahowald-2023-discerning,"Kyle Mahowald. 2023. A Discerning Several Thousand Judgments: GPT-3 Rates the Article + Adjective + Numeral + Noun Construction. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 265–273, Dubrovnik, Croatia. Association for Computational Linguistics."
evaluating_gender_bias_in_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modelling_compression_with_discourse_constraints,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
characterbased_kernels_for_novelistic_plot_structure,April,2012.0,EACL,https://aclanthology.org/E12-1065,elsner-2012-character,"Micha Elsner. 2012. Character-based kernels for novelistic plot structure. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 634–644, Avignon, France. Association for Computational Linguistics."
semantic_ambiguity_detection_in_sentence_classification_using_taskspecific_embeddings,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.41,kim-etal-2023-semantic,"Jong Myoung Kim, Young-jun Lee, Sangkeun Jung, and Ho-jin Choi. 2023. Semantic Ambiguity Detection in Sentence Classification using Task-Specific Embeddings. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 425–437, Toronto, Canada. Association for Computational Linguistics."
micse_mutual_information_contrastive_learning_for_lowshot_sentence_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fair_is_better_than_sensational_man_is_to_doctor_as_woman_is_to_doctor,June,2020.0,CL,https://aclanthology.org/2020.cl-2.7,nissim-etal-2020-fair,"Malvina Nissim, Rik van Noord, and Rob van der Goot. 2020. Fair Is Better than Sensational: Man Is to Doctor as Woman Is to Doctor. Computational Linguistics, 46(2):487–497."
improving_the_similarity_measure_of_determinantal_point_processes_for_extractive_multidocument_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_investigation_of_transfer_learningbased_sentiment_analysis_in_japanese,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_mutual_information_maximization_approach_for_the_spurious_solution_problem_in_weakly_supervised_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
timeout_temporal_referencing_for_robust_modeling_of_lexical_semantic_change,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_predict_denotational_probabilities_for_modeling_entailment,April,2017.0,EACL,https://aclanthology.org/E17-1068,lai-hockenmaier-2017-learning,"Alice Lai and Julia Hockenmaier. 2017. Learning to Predict Denotational Probabilities For Modeling Entailment. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 721–730, Valencia, Spain. Association for Computational Linguistics."
measuring_uncertainty_in_neural_machine_translation_with_similaritysensitive_entropy,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.129,cheng-vlachos-2024-measuring,"Julius Cheng and Andreas Vlachos. 2024. Measuring Uncertainty in Neural Machine Translation with Similarity-Sensitive Entropy. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2115–2128, St. Julian’s, Malta. Association for Computational Linguistics."
a_call_for_more_rigor_in_unsupervised_crosslingual_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gender_and_racial_fairness_in_depression_research_using_social_media,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.256,aguirre-etal-2021-gender,"Carlos Aguirre, Keith Harrigian, and Mark Dredze. 2021. Gender and Racial Fairness in Depression Research using Social Media. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2932–2949, Online. Association for Computational Linguistics."
maud_an_expertannotated_legal_nlp_dataset_for_merger_agreement_understanding,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.1019,wang-etal-2023-maud,"Steven Wang, Antoine Scardigli, Leonard Tang, Wei Chen, Dmitry Levkin, Anya Chen, Spencer Ball, Thomas Woodside, Oliver Zhang, and Dan Hendrycks. 2023. MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16369–16382, Singapore. Association for Computational Linguistics."
analyzing_linguistic_differences_between_owner_and_staff_attributed_tweets,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
in_media_res_a_corpus_for_evaluating_named_entity_linking_with_creative_works,November,2020.0,CoNLL,https://aclanthology.org/2020.conll-1.28,brasoveanu-etal-2020-media,"Adrian M.P. Brasoveanu, Albert Weichselbraun, and Lyndon Nixon. 2020. In Media Res: A Corpus for Evaluating Named Entity Linking with Creative Works. In Proceedings of the 24th Conference on Computational Natural Language Learning, pages 355–364, Online. Association for Computational Linguistics."
language_generation_via_dag_transduction,July,2018.0,ACL,https://aclanthology.org/P18-1179,ye-etal-2018-language,"Yajie Ye, Weiwei Sun, and Xiaojun Wan. 2018. Language Generation via DAG Transduction. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1928–1937, Melbourne, Australia. Association for Computational Linguistics."
decoding_symbolism_in_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
diachronic_sense_modeling_with_deep_contextualized_word_embeddings_an_ecological_view,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evidenceminer_textual_evidence_discovery_for_life_sciences,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_language_spaces_scales_and_crosslingual_transfer_of_ud_parsers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
using_lexical_and_relational_similarity_to_classify_semantic_relations,March,2009.0,EACL,https://aclanthology.org/E09-1071,o-seaghdha-copestake-2009-using,"Diarmuid Ó Séaghdha and Ann Copestake. 2009. Using Lexical and Relational Similarity to Classify Semantic Relations. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 621–629, Athens, Greece. Association for Computational Linguistics."
taskspecific_attentive_pooling_of_phrase_alignments_contributes_to_sentence_matching,April,2017.0,EACL,https://aclanthology.org/E17-1066,yin-schutze-2017-task,"Wenpeng Yin and Hinrich Schütze. 2017. Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 699–709, Valencia, Spain. Association for Computational Linguistics."
using_lda_to_detect_semantically_incoherent_documents,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
typesensitive_knowledge_base_inference_without_explicit_type_supervision,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multitarget_backdoor_attacks_for_code_pretrained_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
calcx_and_calcformers_empowering_arithmetical_chainofthought_through_interaction_with_symbolic_systems,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.742,kadlcik-etal-2023-calc,"Marek Kadlčík, Michal Štefánik, Ondrej Sotolar, and Vlastimil Martinek. 2023. Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic Systems. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12101–12108, Singapore. Association for Computational Linguistics."
analyzing_wrapup_effects_through_an_informationtheoretic_lens,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
making_science_simple_corpora_for_the_lay_summarisation_of_scientific_literature,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.724,goldsack-etal-2022-making,"Tomas Goldsack, Zhihao Zhang, Chenghua Lin, and Carolina Scarton. 2022. Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10589–10604, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
stereoset_measuring_stereotypical_bias_in_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
its_our_fault_insights_into_users_understanding_and_interaction_with_an_explanatory_collaborative_dialog_system,November,2021.0,CoNLL,https://aclanthology.org/2021.conll-1.1,weitz-etal-2021-fault,"Katharina Weitz, Lindsey Vanderlyn, Ngoc Thang Vu, and Elisabeth André. 2021. “It’s our fault!”: Insights Into Users’ Understanding and Interaction With an Explanatory Collaborative Dialog System. In Proceedings of the 25th Conference on Computational Natural Language Learning, pages 1–16, Online. Association for Computational Linguistics."
labelaware_hyperbolic_embeddings_for_finegrained_emotion_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
jarvix_a_llm_no_code_platform_for_tabular_data_analysis_and_optimization,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.59,liu-etal-2023-jarvix,"Shang-Ching Liu, ShengKun Wang, Tsungyao Chang, Wenqi Lin, Chung-Wei Hsiung, Yi-Chen Hsieh, Yu-Ping Cheng, Sian-Hong Luo, and Jianwei Zhang. 2023. JarviX: A LLM No code Platform for Tabular Data Analysis and Optimization. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 622–630, Singapore. Association for Computational Linguistics."
incorporating_external_knowledge_through_pretraining_for_natural_language_to_code_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_model_of_syntactic_disambiguation_based_on_lexicalized_grammars,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
positional_artefacts_propagate_through_masked_language_model_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semisupervised_multimodal_coreference_resolution_in_image_narrations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
concadia_towards_imagebased_text_generation_with_a_purpose,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.308,kreiss-etal-2022-concadia,"Elisa Kreiss, Fei Fang, Noah Goodman, and Christopher Potts. 2022. Concadia: Towards Image-Based Text Generation with a Purpose. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4667–4684, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
variational_semisupervised_aspectterm_sentiment_analysis_via_transformer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
does_referent_predictability_affect_the_choice_of_referential_form_a_computational_approach_using_masked_coreference_resolution,November,2021.0,CoNLL,https://aclanthology.org/2021.conll-1,UNKNOWN_BIBKEY,N/A
improving_language_models_meaning_understanding_and_consistency_by_learning_conceptual_roles_from_dictionary,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
abstractive_text_summarization_using_sequencetosequence_rnns_and_beyond,August,2016.0,CoNLL,https://aclanthology.org/K16-1028,nallapati-etal-2016-abstractive,"Ramesh Nallapati, Bowen Zhou, Cicero dos Santos, Çağlar Gu̇lçehre, and Bing Xiang. 2016. Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond. In Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, pages 280–290, Berlin, Germany. Association for Computational Linguistics."
globalwoz_globalizing_multiwoz_to_develop_multilingual_taskoriented_dialogue_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_ground_medical_text_in_a_3d_human_atlas,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fatality_killed_the_cat_or_babelpic_a_multimodal_dataset_for_nonconcrete_concepts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
strategies_to_improve_lowresource_agglutinative_languages_morphological_inflection,December,2023.0,CoNLL,https://aclanthology.org/2023.conll-1.34,abudouwaili-etal-2023-strategies,"Gulinigeer Abudouwaili, Wayit Ablez, Kahaerjiang Abiderexiti, Aishan Wumaier, and Nian Yi. 2023. Strategies to Improve Low-Resource Agglutinative Languages Morphological Inflection. In Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL), pages 508–520, Singapore. Association for Computational Linguistics."
figurative_usage_detection_of_symptom_words_to_improve_personal_health_mention_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
scde_sentence_cloze_dataset_with_high_quality_distractors_from_examinations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
frugalscore_learning_cheaper_lighter_and_faster_evaluation_metrics_for_automatic_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
continual_sequence_generation_with_adaptive_compositional_modules,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
leveraging_local_and_global_patterns_for_selfattention_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gptre_incontext_learning_for_relation_extraction_using_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
systematic_investigation_of_strategies_tailored_for_lowresource_settings_for_lowresource_dependency_parsing,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.158,sandhan-etal-2023-systematic,"Jivnesh Sandhan, Laxmidhar Behera, and Pawan Goyal. 2023. Systematic Investigation of Strategies Tailored for Low-Resource Settings for Low-Resource Dependency Parsing. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2164–2171, Dubrovnik, Croatia. Association for Computational Linguistics."
improving_the_robustness_of_summarization_systems_with_dual_augmentation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
syntaxaware_opinion_role_labeling_with_dependency_graph_convolutional_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
oneclass_text_classification_with_multimodal_deep_support_vector_data_description,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
three_sentences_are_all_you_need_local_path_enhanced_document_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
phrase_reordering_model_integrating_syntactic_knowledge_for_smt,June,2007.0,,https://aclanthology.org/D07-1056,zhang-etal-2007-phrase,"Dongdong Zhang, Mu Li, Chi-Ho Li, and Ming Zhou. 2007. Phrase Reordering Model Integrating Syntactic Knowledge for SMT. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 533–540, Prague, Czech Republic. Association for Computational Linguistics."
find2find_multitask_learning_for_anaphora_resolution_and_object_localization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nonlinear_structural_equation_model_guided_gaussian_mixture_hierarchical_topic_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
navigating_the_grey_area_how_expressions_of_uncertainty_and_overconfidence_affect_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nearest_neighbor_zeroshot_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
can_you_translate_for_me_codeswitched_machine_translation_with_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
monotonic_infinite_lookback_attention_for_simultaneous_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
uprise_universal_prompt_retrieval_for_improving_zeroshot_evaluation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.758,cheng-etal-2023-uprise,"Daixuan Cheng, Shaohan Huang, Junyu Bi, Yuefeng Zhan, Jianfeng Liu, Yujing Wang, Hao Sun, Furu Wei, Weiwei Deng, and Qi Zhang. 2023. UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12318–12337, Singapore. Association for Computational Linguistics."
airdecoding_attribute_distribution_reconstruction_for_decodingtime_controllable_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_incremental_model_for_coreference_resolution_with_restrictive_antecedent_accessibility,June,2011.0,CoNLL,https://aclanthology.org/W11-1912,klenner-tuggener-2011-incremental-model,"Manfred Klenner and Don Tuggener. 2011. An Incremental Model for Coreference Resolution with Restrictive Antecedent Accessibility. In Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task, pages 81–85, Portland, Oregon, USA. Association for Computational Linguistics."
evaluating_robustness_to_input_perturbations_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
syntactic_multiview_learning_for_open_information_extraction,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.272,dong-etal-2022-syntactic,"Kuicai Dong, Aixin Sun, Jung-Jae Kim, and Xiaoli Li. 2022. Syntactic Multi-view Learning for Open Information Extraction. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4072–4083, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
drgcoder_explainable_clinical_coding_for_the_early_prediction_of_diagnosticrelated_groups,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-demo.34,hajialigol-etal-2023-drgcoder,"Daniel Hajialigol, Derek Kaknes, Tanner Barbour, Daphne Yao, Chris North, Jimeng Sun, David Liem, and Xuan Wang. 2023. DRGCoder: Explainable Clinical Coding for the Early Prediction of Diagnostic-Related Groups. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 373–380, Singapore. Association for Computational Linguistics."
extracting_victim_counts_from_text,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.141,zhong-etal-2023-extracting,"Mian Zhong, Shehzaad Dhuliawala, and Niklas Stoehr. 2023. Extracting Victim Counts from Text. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1925–1940, Dubrovnik, Croatia. Association for Computational Linguistics."
a_gradient_control_method_for_backdoor_attacks_on_parameterefficient_tuning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_understanding_and_improving_knowledge_distillation_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
paraphrases_do_not_explain_word_analogies,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.182,fournier-dunbar-2021-paraphrases,"Louis Fournier and Ewan Dunbar. 2021. Paraphrases do not explain word analogies. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2129–2134, Online. Association for Computational Linguistics."
multimodal_and_multiview_models_for_emotion_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sequencetoaction_endtoend_semantic_graph_generation_for_semantic_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_learning_dissimilarity_of_source_code_from_program_contrasts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
endtoend_neural_word_alignment_outperforms_giza,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cheer_centralityaware_highorder_event_reasoning_network_for_documentlevel_event_causality_identification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_ask_conversational_questions_by_optimizing_levenshtein_distance,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hybrid_learning_of_dependency_structures_from_heterogeneous_linguistic_resources,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_machine_translation_of_null_subjects_in_italian_and_spanish,April,2012.0,EACL,https://aclanthology.org/E12-3010,russo-etal-2012-improving,"Lorenza Russo, Sharid Loáiciga, and Asheesh Gulati. 2012. Improving machine translation of null subjects in Italian and Spanish. In Proceedings of the Student Research Workshop at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 81–89, Avignon, France. Association for Computational Linguistics."
topical_segmentation_of_spoken_narratives_a_test_case_on_holocaust_survivor_testimonies,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
structured_pruning_learns_compact_and_accurate_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
resolving_anaphora_in_a_portable_natural_language_front_end_to_databases,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
kucst_at_conllsigmorphon_2018_shared_task_a_tridirectional_model,October,2018.0,CoNLL,https://aclanthology.org/K18-3002,agirrezabal-2018-ku,"Manex Agirrezabal. 2018. KU-CST at CoNLL–SIGMORPHON 2018 Shared Task: a Tridirectional Model. In Proceedings of the CoNLL–SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection, pages 28–32, Brussels. Association for Computational Linguistics."
multimodal_dialogue_response_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_multiscale_visualization_of_attention_in_the_transformer_model,July,2019.0,ACL,https://aclanthology.org/P19-3007,vig-2019-multiscale,"Jesse Vig. 2019. A Multiscale Visualization of Attention in the Transformer Model. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 37–42, Florence, Italy. Association for Computational Linguistics."
annealing_knowledge_distillation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.212,jafari-etal-2021-annealing,"Aref Jafari, Mehdi Rezagholizadeh, Pranav Sharma, and Ali Ghodsi. 2021. Annealing Knowledge Distillation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2493–2504, Online. Association for Computational Linguistics."
data_augmentation_for_text_generation_without_any_augmented_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_does_not_mean_uninterpretable_the_case_for_word_sense_induction_and_disambiguation,April,2017.0,EACL,https://aclanthology.org/E17-1009,panchenko-etal-2017-unsupervised-mean,"Alexander Panchenko, Eugen Ruppert, Stefano Faralli, Simone Paolo Ponzetto, and Chris Biemann. 2017. Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 86–98, Valencia, Spain. Association for Computational Linguistics."
pushdown_layers_encoding_recursive_structure_in_transformer_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_enrichment_of_personagrounded_dialog_with_background_stories,August,2021.0,,https://aclanthology.org/2021.acl-short.74,majumder-etal-2021-unsupervised,"Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian McAuley, and Harsh Jhamtani. 2021. Unsupervised Enrichment of Persona-grounded Dialog with Background Stories. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 585–592, Online. Association for Computational Linguistics."
lattice_transformer_for_speech_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
primacy_effect_of_chatgpt,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
polyglot_or_not_measuring_multilingual_encyclopedic_knowledge_in_foundation_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
p5_plugandplay_persona_prompting_for_personalized_response_selection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
structural_information_preserving_for_graphtotext_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_effects_of_structural_modeling_for_neural_semantic_parsing,December,2023.0,CoNLL,https://aclanthology.org/2023.conll-1.4,zhang-etal-2023-effects,"Xiang Zhang, Shizhu He, Kang Liu, and Jun Zhao. 2023. On the Effects of Structural Modeling for Neural Semantic Parsing. In Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL), pages 38–57, Singapore. Association for Computational Linguistics."
rewirethenprobe_a_contrastive_recipe_for_probing_biomedical_knowledge_of_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_pivot_translation_for_distant_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_tale_of_a_probe_and_a_parser,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fernet_finegrained_extraction_and_reasoning_network_for_emotion_recognition_in_dialogues,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_generating_long_and_coherent_text_with_multilevel_latent_variable_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
aspect_extraction_using_coreference_resolution_and_unsupervised_filtering,December,2020.0,AACL,https://aclanthology.org/2020.aacl-srw.18,mai-zhang-2020-aspect,"Deon Mai and Wei Emma Zhang. 2020. Aspect Extraction Using Coreference Resolution and Unsupervised Filtering. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: Student Research Workshop, pages 124–129, Suzhou, China. Association for Computational Linguistics."
new_intent_discovery_with_pretraining_and_contrastive_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ellipsisdependent_reasoning_a_new_challenge_for_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
support_or_refute_analyzing_the_stance_of_evidence_to_detect_outofcontext_mis_and_disinformation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
examplebased_metonymy_recognition_for_proper_nouns,,2006.0,EACL,https://aclanthology.org/E06-3009,peirsman-2006-example,"Yves Peirsman. 2006. Example-Based Metonymy Recognition for Proper Nouns. In Student Research Workshop, pages 71–78."
language_id_in_the_context_of_harvesting_language_data_off_the_web,March,2009.0,EACL,https://aclanthology.org/E09-1099,xia-etal-2009-language,"Fei Xia, William Lewis, and Hoifung Poon. 2009. Language ID in the Context of Harvesting Language Data off the Web. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 870–878, Athens, Greece. Association for Computational Linguistics."
mitigating_exposure_bias_in_grammatical_error_correction_with_data_augmentation_and_reweighting,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.155,cao-etal-2023-mitigating,"Hannan Cao, Wenmian Yang, and Hwee Tou Ng. 2023. Mitigating Exposure Bias in Grammatical Error Correction with Data Augmentation and Reweighting. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2123–2135, Dubrovnik, Croatia. Association for Computational Linguistics."
loglinear_models_of_nonprojective_trees_kbest_mst_parsing_and_treeranking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
counterfactual_explanations_for_natural_language_interfaces,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.14,tolkachev-etal-2022-counterfactual,"George Tolkachev, Stephen Mell, Stephan Zdancewic, and Osbert Bastani. 2022. Counterfactual Explanations for Natural Language Interfaces. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 113–118, Dublin, Ireland. Association for Computational Linguistics."
concreteness_vs_abstractness_a_selectional_preference_perspective,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
chard_clinical_healthaware_reasoning_across_dimensions_for_text_generation_models,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.24,feng-etal-2023-chard,"Steven Y. Feng, Vivek Khetan, Bogdan Sacaleanu, Anatole Gershman, and Eduard Hovy. 2023. CHARD: Clinical Health-Aware Reasoning Across Dimensions for Text Generation Models. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 313–327, Dubrovnik, Croatia. Association for Computational Linguistics."
colada_a_collaborative_label_denoising_framework_for_crosslingual_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_question_answering_by_cloze_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_unitn_discourse_parser_in_conll_2015_shared_task_tokenlevel_sequence_labeling_with_argumentspecific_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
are_you_kidding_me_detecting_unpalatable_questions_on_reddit,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.179,bagga-etal-2021-kidding,"Sunyam Bagga, Andrew Piper, and Derek Ruths. 2021. “Are you kidding me?”: Detecting Unpalatable Questions on Reddit. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2083–2099, Online. Association for Computational Linguistics."
the_domain_dependence_of_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
speech_emotion_recognition_with_tgi2_classifier,April,2009.0,EACL,https://aclanthology.org/E09-3007,sidorova-2009-speech,"Julia Sidorova. 2009. Speech Emotion Recognition With TGI+.2 Classifier. In Proceedings of the Student Research Workshop at EACL 2009, pages 54–60, Athens, Greece. Association for Computational Linguistics."
scirepeval_a_multiformat_benchmark_for_scientific_document_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
breaking_nli_systems_with_sentences_that_require_simple_lexical_inferences,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_isu_dialogue_system_exhibiting_reinforcement_learning_of_dialogue_policies_generic_slotfilling_in_the_talk_incar_system,,2006.0,EACL,https://aclanthology.org/E06-2009,lemon-etal-2006-isu,"Oliver Lemon, Kallirroi Georgila, James Henderson, and Matthew Stuttle. 2006. An ISU Dialogue System Exhibiting Reinforcement Learning of Dialogue Policies: Generic Slot-Filling in the TALK In-car System. In Demonstrations, pages 119–122."
is_encoderdecoder_redundant_for_neural_machine_translation,November,2022.0,,https://aclanthology.org/2022.aacl-main.43,gao-etal-2022-encoder,"Yingbo Gao, Christian Herold, Zijian Yang, and Hermann Ney. 2022. Is Encoder-Decoder Redundant for Neural Machine Translation?. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 562–574, Online only. Association for Computational Linguistics."
measuring_the_similarity_between_automatically_generated_topics,April,2014.0,EACL,https://aclanthology.org/E14-4005,aletras-stevenson-2014-measuring,"Nikolaos Aletras and Mark Stevenson. 2014. Measuring the Similarity between Automatically Generated Topics. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 22–27, Gothenburg, Sweden. Association for Computational Linguistics."
redditbias_a_realworld_resource_for_bias_evaluation_and_debiasing_of_conversational_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
transductive_learning_for_textual_fewshot_classification_in_apibased_embedding_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crossing_the_line_where_do_demographic_variables_fit_into_humor_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modeling_finegrained_entity_types_with_box_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
context_limitations_make_neural_language_models_more_humanlike,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
murag_multimodal_retrievalaugmented_generator_for_open_question_answering_over_images_and_text,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.375,chen-etal-2022-murag,"Wenhu Chen, Hexiang Hu, Xi Chen, Pat Verga, and William Cohen. 2022. MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5558–5570, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
quantity_contrast_and_convention_in_crosssituated_language_comprehension,July,2015.0,CoNLL,https://aclanthology.org/K15-1023,perera-allen-2015-quantity,"Ian Perera and James Allen. 2015. Quantity, Contrast, and Convention in Cross-Situated Language Comprehension. In Proceedings of the Nineteenth Conference on Computational Natural Language Learning, pages 226–236, Beijing, China. Association for Computational Linguistics."
benchmarking_diffusion_models_for_machine_translation,March,2024.0,EACL,https://aclanthology.org/2024.eacl-srw.25,demirag-etal-2024-benchmarking,"Yunus Demirag, Danni Liu, and Jan Niehues. 2024. Benchmarking Diffusion Models for Machine Translation. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 313–324, St. Julian’s, Malta. Association for Computational Linguistics."
empathy_identification_systems_are_not_accurately_accounting_for_context,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.123,lee-etal-2023-empathy,"Andrew Lee, Jonathan K. Kummerfeld, Larry An, and Rada Mihalcea. 2023. Empathy Identification Systems are not Accurately Accounting for Context. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1686–1695, Dubrovnik, Croatia. Association for Computational Linguistics."
narrative_modeling_with_memory_chains_and_semantic_supervision,July,2018.0,ACL,https://aclanthology.org/P18-2045,liu-etal-2018-narrative,"Fei Liu, Trevor Cohn, and Timothy Baldwin. 2018. Narrative Modeling with Memory Chains and Semantic Supervision. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 278–284, Melbourne, Australia. Association for Computational Linguistics."
interactive_language_acquisition_with_oneshot_visual_concept_learning_through_a_conversational_game,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
predicting_the_topical_stance_and_political_leaning_of_media_using_tweets,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_geometry_of_multilingual_language_model_representations,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.9,chang-etal-2022-geometry,"Tyler Chang, Zhuowen Tu, and Benjamin Bergen. 2022. The Geometry of Multilingual Language Model Representations. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 119–136, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
regression_bugs_are_in_your_model_measuring_reducing_and_analyzing_regressions_in_nlp_model_updates,August,2021.0,,https://aclanthology.org/2021.acl-long.515,xie-etal-2021-regression,"Yuqing Xie, Yi-An Lai, Yuanjun Xiong, Yi Zhang, and Stefano Soatto. 2021. Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 6589–6602, Online. Association for Computational Linguistics."
we_are_who_we_cite_bridges_of_influence_between_natural_language_processing_and_other_academic_fields,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.797,wahle-etal-2023-cite,"Jan Philip Wahle, Terry Ruas, Mohamed Abdalla, Bela Gipp, and Saif Mohammad. 2023. We are Who We Cite: Bridges of Influence Between Natural Language Processing and Other Academic Fields. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12896–12913, Singapore. Association for Computational Linguistics."
maxmargin_incremental_ccg_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mart_memoryaugmented_recurrent_transformer_for_coherent_video_paragraph_captioning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
seedfree_synthetic_data_generation_framework_for_instructiontuning_llms_a_case_study_in_thai,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
disentangling_uncertainty_in_machine_translation_evaluation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.591,zerva-etal-2022-disentangling,"Chrysoula Zerva, Taisiya Glushkova, Ricardo Rei, and André F. T. Martins. 2022. Disentangling Uncertainty in Machine Translation Evaluation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8622–8641, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
exploring_the_efficacy_of_automatically_generated_counterfactuals_for_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
prompting_for_multimodal_hateful_meme_classification,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.22,cao-etal-2022-prompting,"Rui Cao, Roy Ka-Wei Lee, Wen-Haw Chong, and Jing Jiang. 2022. Prompting for Multimodal Hateful Meme Classification. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 321–332, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
european_language_grid_a_joint_platform_for_the_european_language_technology_community,April,2021.0,EACL,https://aclanthology.org/2021.eacl-demos.26,rehm-etal-2021-european,"Georg Rehm, Stelios Piperidis, Kalina Bontcheva, Jan Hajic, Victoria Arranz, Andrejs Vasiļjevs, Gerhard Backfried, Jose Manuel Gomez-Perez, Ulrich Germann, Rémi Calizzano, Nils Feldhus, Stefanie Hegele, Florian Kintzel, Katrin Marheinecke, Julian Moreno-Schneider, Dimitris Galanis, Penny Labropoulou, Miltos Deligiannis, Katerina Gkirtzou, et al.. 2021. European Language Grid: A Joint Platform for the European Language Technology Community. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 221–230, Online. Association for Computational Linguistics."
continuous_word_embedding_fusion_via_spectral_decomposition,October,2018.0,CoNLL,https://aclanthology.org/K18-1002,fu-etal-2018-continuous,"Tianfan Fu, Cheng Zhang, and Stephan Mandt. 2018. Continuous Word Embedding Fusion via Spectral Decomposition. In Proceedings of the 22nd Conference on Computational Natural Language Learning, pages 11–20, Brussels, Belgium. Association for Computational Linguistics."
snac_coherence_error_detection_for_narrative_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
initial_explorations_of_ccg_supertagging_for_universal_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
counterfactual_interventions_reveal_the_causal_effect_of_relative_clause_representations_on_agreement_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
realtime_opendomain_question_answering_with_densesparse_phrase_index,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
resolving_coreferent_and_associative_noun_phrases_in_scientific_text,April,2014.0,EACL,https://aclanthology.org/E14-3006,roesiger-teufel-2014-resolving,"Ina Roesiger and Simone Teufel. 2014. Resolving Coreferent and Associative Noun Phrases in Scientific Text. In Proceedings of the Student Research Workshop at the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 45–55, Gothenburg, Sweden. Association for Computational Linguistics."
authorship_attribution_with_latent_dirichlet_allocation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
quantifying_the_hyperparameter_sensitivity_of_neural_networks_for_characterlevel_sequencetosequence_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
variance_matters_detecting_semantic_differences_without_corpusword_alignment,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.965,nagata-etal-2023-variance,"Ryo Nagata, Hiroya Takamura, Naoki Otani, and Yoshifumi Kawasaki. 2023. Variance Matters: Detecting Semantic Differences without Corpus/Word Alignment. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15609–15622, Singapore. Association for Computational Linguistics."
corpusbased_checkup_for_thesaurus,July,2019.0,ACL,https://aclanthology.org/P19-1577,loukachevitch-2019-corpus,"Natalia Loukachevitch. 2019. Corpus-based Check-up for Thesaurus. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 5773–5779, Florence, Italy. Association for Computational Linguistics."
zpr2_joint_zero_pronoun_recovery_and_resolution_using_multitask_learning_and_bert,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rose_robust_selective_finetuning_for_pretrained_language_models,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.186,jiang-etal-2022-rose,"Lan Jiang, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, and Rui Jiang. 2022. ROSE: Robust Selective Fine-tuning for Pre-trained Language Models. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 2886–2897, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
linguistic_features_in_datadriven_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ultraeval_a_lightweight_platform_for_flexible_and_comprehensive_evaluation_for_llms,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fingpt_large_generative_models_for_a_small_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
denseatomic_towards_denselyconnected_atomic_with_high_knowledge_coverage_and_massive_multihop_paths,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cut_and_paste_based_text_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
data_programming_for_learning_discourse_structure,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dimensions_of_explanatory_value_in_nlp_models,September,2023.0,CL,https://aclanthology.org/2023.cl-3.6,deemter-2023-dimensions,Kees van Deemter. 2023. Dimensions of Explanatory Value in NLP Models. Computational Linguistics:749–761.
bilingually_motivated_domainadapted_word_segmentation_for_statistical_machine_translation,March,2009.0,EACL,https://aclanthology.org/E09-1063,ma-way-2009-bilingually,"Yanjun Ma and Andy Way. 2009. Bilingually Motivated Domain-Adapted Word Segmentation for Statistical Machine Translation. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 549–557, Athens, Greece. Association for Computational Linguistics."
beyond_lexical_units_enriching_wordnets_with_phrasets,April,2003.0,EACL,https://aclanthology.org/E03-1018,bentivogli-pianta-2003-beyond,"Luisa Bentivogli and Emanuele Pianta. 2003. Beyond Lexical Units: Enriching WordNets with Phrasets. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
exploiting_entity_bio_tag_embeddings_and_multitask_learning_for_relation_extraction_with_imbalanced_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
abstractive_summarizers_are_excellent_extractive_summarizers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_factor_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
what_makes_instruction_learning_hard_an_investigation_and_a_new_challenge_in_a_synthetic_environment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reasoning_over_hierarchical_question_decomposition_tree_for_explainable_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
discriminative_reranking_for_neural_machine_translation,August,2021.0,,https://aclanthology.org/2021.acl-long.563,lee-etal-2021-discriminative,"Ann Lee, Michael Auli, and Marc’Aurelio Ranzato. 2021. Discriminative Reranking for Neural Machine Translation. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 7250–7264, Online. Association for Computational Linguistics."
plugandplay_knowledge_injection_for_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
excar_event_graph_knowledge_enhanced_explainable_causal_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
costsensitive_regularization_for_label_confusionaware_event_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
autoencoding_keyword_correlation_graph_for_document_clustering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
when_is_char_better_than_subword_a_systematic_study_of_segmentation_algorithms_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_parsing_as_tagging,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
robustgec_robust_grammatical_error_correction_against_subtle_context_perturbation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.1043,zhang-etal-2023-robustgec,"Yue Zhang, Leyang Cui, Enbo Zhao, Wei Bi, and Shuming Shi. 2023. RobustGEC: Robust Grammatical Error Correction Against Subtle Context Perturbation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16780–16793, Singapore. Association for Computational Linguistics."
phylogenyinspired_soft_prompts_for_datatotext_generation_in_lowresource_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
paraphrase_types_for_generation_and_detection,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.746,wahle-etal-2023-paraphrase,"Jan Philip Wahle, Bela Gipp, and Terry Ruas. 2023. Paraphrase Types for Generation and Detection. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12148–12164, Singapore. Association for Computational Linguistics."
controllable_openended_question_generation_with_a_new_question_type_ontology,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_impacts_of_unanswerable_questions_on_the_robustness_of_machine_reading_comprehension_models,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.113,tran-etal-2023-impacts,"Son Quoc Tran, Phong Nguyen-Thuan Do, Uyen Le, and Matt Kretchmar. 2023. The Impacts of Unanswerable Questions on the Robustness of Machine Reading Comprehension Models. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1543–1557, Dubrovnik, Croatia. Association for Computational Linguistics."
using_dependency_parsing_for_fewshot_learning_in_distributional_semantics,May,2022.0,ACL,https://aclanthology.org/2022.acl-srw.38,preda-emerson-2022-using,"Stefania Preda and Guy Emerson. 2022. Using dependency parsing for few-shot learning in distributional semantics. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 461–466, Dublin, Ireland. Association for Computational Linguistics."
embeddings_of_label_components_for_sequence_labeling_a_case_study_of_finegrained_named_entity_recognition,July,2020.0,ACL,https://aclanthology.org/2020.acl-srw.30,kato-etal-2020-embeddings,"Takuma Kato, Kaori Abe, Hiroki Ouchi, Shumpei Miyawaki, Jun Suzuki, and Kentaro Inui. 2020. Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 222–229, Online. Association for Computational Linguistics."
ghan_graphbased_hierarchical_aggregation_network_for_textvideo_retrieval,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.374,yu-etal-2022-ghan,"Yahan Yu, Bojie Hu, and Yu Li. 2022. GHAN: Graph-Based Hierarchical Aggregation Network for Text-Video Retrieval. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5547–5557, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
greenkgc_a_lightweight_knowledge_graph_completion_method,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
one_time_of_interaction_may_not_be_enough_go_deep_with_an_interactionoverinteraction_network_for_response_selection_in_dialogues,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
memecap_a_dataset_for_captioning_and_interpreting_memes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_from_evolving_data_streams_online_triage_of_bug_reports,April,2012.0,EACL,https://aclanthology.org/E12-1063,chrupala-2012-learning,"Grzegorz Chrupala. 2012. Learning from evolving data streams: online triage of bug reports. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 613–622, Avignon, France. Association for Computational Linguistics."
soul_towards_sentiment_and_opinion_understanding_of_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
revisiting_machine_translation_for_crosslingual_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dynamic_topic_adaptation_for_phrasebased_mt,April,2014.0,EACL,https://aclanthology.org/E14-1035,hasler-etal-2014-dynamic,"Eva Hasler, Phil Blunsom, Philipp Koehn, and Barry Haddow. 2014. Dynamic Topic Adaptation for Phrase-based MT. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 328–337, Gothenburg, Sweden. Association for Computational Linguistics."
automatic_classification_of_students_on_twitter_using_simple_profile_information,December,2020.0,AACL,https://aclanthology.org/2020.aacl-srw.5,wilson-wun-2020-automatic,"Lili-Michal Wilson and Christopher Wun. 2020. Automatic Classification of Students on Twitter Using Simple Profile Information. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: Student Research Workshop, pages 30–36, Suzhou, China. Association for Computational Linguistics."
efficient_dialogue_state_tracking_by_selectively_overwriting_memory,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fictionwriting_mode_an_effective_control_for_humanmachine_collaborative_writing,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.128,zhong-etal-2023-fiction,"Wenjie Zhong, Jason Naradowsky, Hiroya Takamura, Ichiro Kobayashi, and Yusuke Miyao. 2023. Fiction-Writing Mode: An Effective Control for Human-Machine Collaborative Writing. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1752–1765, Dubrovnik, Croatia. Association for Computational Linguistics."
towards_multimodal_sarcasm_detection_an__obviously__perfect_paper,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
finegrained_contrastive_learning_for_relation_extraction,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.71,hogan-etal-2022-fine,"William Hogan, Jiacheng Li, and Jingbo Shang. 2022. Fine-grained Contrastive Learning for Relation Extraction. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1083–1095, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
quality_controlled_paraphrase_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
diffusionnat_selfprompting_discrete_diffusion_for_nonautoregressive_text_generation,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.86,zhou-etal-2024-diffusion,"Kun Zhou, Yifan Li, Xin Zhao, and Ji-Rong Wen. 2024. Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1438–1451, St. Julian’s, Malta. Association for Computational Linguistics."
contrastive_learning_for_manytomany_multilingual_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
memoryefficient_nllb200_languagespecific_expert_pruning_of_a_massively_multilingual_machine_translation_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
code_synonyms_do_matter_multiple_synonyms_matching_network_for_automatic_icd_coding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
curate_and_generate_a_corpus_and_method_for_joint_control_of_semantics_and_style_in_neural_nlg,July,2019.0,ACL,https://aclanthology.org/P19-1596,oraby-etal-2019-curate,"Shereen Oraby, Vrindavan Harrison, Abteen Ebrahimi, and Marilyn Walker. 2019. Curate and Generate: A Corpus and Method for Joint Control of Semantics and Style in Neural NLG. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 5938–5951, Florence, Italy. Association for Computational Linguistics."
semisupervised_domain_adaptation_for_dependency_parsing_with_dynamic_matching_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_taskoriented_dialogue_systems_with_generative_postprocessing_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_word_alignment_from_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
space_efficient_context_encoding_for_nontaskoriented_dialogue_generation_with_graph_attention_transformer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
joint_learning_of_named_entity_recognition_and_entity_linking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rfbfn_a_relationfirst_blank_filling_network_for_joint_relational_triple_extraction,May,2022.0,ACL,https://aclanthology.org/2022.acl-srw.2,li-etal-2022-rfbfn,"Zhe Li, Luoyi Fu, Xinbing Wang, Haisong Zhang, and Chenghu Zhou. 2022. RFBFN: A Relation-First Blank Filling Network for Joint Relational Triple Extraction. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 10–20, Dublin, Ireland. Association for Computational Linguistics."
calibrating_structured_output_predictors_for_natural_language_processing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
simple_unsupervised_keyphrase_extraction_using_sentence_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_clac_discourse_parser_at_conll2016,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
leveraging_task_transferability_to_metalearning_for_clinical_section_classification_with_limited_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
entity_extraction_in_biomedical_corpora_an_approach_to_evaluate_word_embedding_features_with_pso_based_feature_selection,April,2017.0,EACL,https://aclanthology.org/E17-1109,yadav-etal-2017-entity,"Shweta Yadav, Asif Ekbal, Sriparna Saha, and Pushpak Bhattacharyya. 2017. Entity Extraction in Biomedical Corpora: An Approach to Evaluate Word Embedding Features with PSO based Feature Selection. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 1159–1170, Valencia, Spain. Association for Computational Linguistics."
plate_a_largescale_dataset_for_list_page_web_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
logical_neural_networks_for_knowledge_base_completion_with_embeddings__rules,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.255,sen-etal-2022-logical,"Prithviraj Sen, Breno William Carvalho, Ibrahim Abdelaziz, Pavan Kapanipathi, Salim Roukos, and Alexander Gray. 2022. Logical Neural Networks for Knowledge Base Completion with Embeddings & Rules. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3863–3875, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
bilingual_lexicon_induction_by_learning_to_combine_wordlevel_and_characterlevel_representations,April,2017.0,EACL,https://aclanthology.org/E17-1102,heyman-etal-2017-bilingual,"Geert Heyman, Ivan Vulić, and Marie-Francine Moens. 2017. Bilingual Lexicon Induction by Learning to Combine Word-Level and Character-Level Representations. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 1085–1095, Valencia, Spain. Association for Computational Linguistics."
generation_of_landmarkbased_navigation_instructions_from_opensource_data,April,2012.0,EACL,https://aclanthology.org/E12-1077,drager-koller-2012-generation,"Markus Dräger and Alexander Koller. 2012. Generation of landmark-based navigation instructions from open-source data. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 757–766, Avignon, France. Association for Computational Linguistics."
improving_the_detection_of_multilingual_online_attacks_with_rich_social_media_data_from_singapore,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ecpe2d_emotioncause_pair_extraction_based_on_joint_twodimensional_representation_interaction_and_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
webscale_languageindependent_cataloging_of_noisy_product_listings_for_ecommerce,April,2017.0,EACL,https://aclanthology.org/E17-1091,das-etal-2017-web,"Pradipto Das, Yandi Xia, Aaron Levine, Giuseppe Di Fabbrizio, and Ankur Datta. 2017. Web-Scale Language-Independent Cataloging of Noisy Product Listings for E-Commerce. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 969–979, Valencia, Spain. Association for Computational Linguistics."
uncertainty_estimation_of_transformer_predictions_for_misclassification_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_bilingual_word_embedding_agreement_for_unsupervised_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_summary_loop_learning_to_write_abstractive_summaries_without_examples,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
comparing_knowledge_sources_for_opendomain_scientific_claim_verification,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.128,vladika-matthes-2024-comparing,"Juraj Vladika and Florian Matthes. 2024. Comparing Knowledge Sources for Open-Domain Scientific Claim Verification. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2103–2114, St. Julian’s, Malta. Association for Computational Linguistics."
exploring_zero_and_fewshot_techniques_for_intent_classification,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.71,parikh-etal-2023-exploring,"Soham Parikh, Mitul Tiwari, Prashil Tumbade, and Quaizar Vohra. 2023. Exploring Zero and Few-shot Techniques for Intent Classification. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 744–751, Toronto, Canada. Association for Computational Linguistics."
evaluating_a_semantic_network_automatically_constructed_from_lexical_cooccurrence_on_a_word_sense_disambiguation_task,November,2024.0,EMNLP,https://aclanthology.org/2024.emnlp-main.1237,gupta-etal-2024-evaluating-concurrent,"Vatsal Gupta, Pranshu Pandya, Tushar Kataria, Vivek Gupta, and Dan Roth. 2024. Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 22162–22184, Miami, Florida, USA. Association for Computational Linguistics."
an_endtoend_chinese_discourse_parser_with_adaptation_to_explicit_and_nonexplicit_relation_recognition,August,2016.0,CoNLL,https://aclanthology.org/K16-2003,kang-etal-2016-end,"Xiaomian Kang, Haoran Li, Long Zhou, Jiajun Zhang, and Chengqing Zong. 2016. An End-to-End Chinese Discourse Parser with Adaptation to Explicit and Non-explicit Relation Recognition. In Proceedings of the CoNLL-16 shared task, pages 27–32, Berlin, Germany. Association for Computational Linguistics."
pybart_evidencebased_syntactic_transformations_for_ie,July,2020.0,ACL,https://aclanthology.org/2020.acl-demos.7,tiktinsky-etal-2020-pybart,"Aryeh Tiktinsky, Yoav Goldberg, and Reut Tsarfaty. 2020. pyBART: Evidence-based Syntactic Transformations for IE. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 47–55, Online. Association for Computational Linguistics."
jbnu_at_mrp_2020_amr_parsing_using_a_joint_state_model_for_graphsequence_iterative_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modelling_semantic_role_pausibility_in_human_sentence_processing,April,2006.0,EACL,https://aclanthology.org/E06-1044,pado-etal-2006-modelling,"Ulrike Padó, Matthew Crocker, and Frank Keller. 2006. Modelling Semantic Role Pausibility in Human Sentence Processing. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 345–352, Trento, Italy. Association for Computational Linguistics."
controlling_pretrained_language_models_for_gradespecific_text_simplification,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.790,agrawal-carpuat-2023-controlling,"Sweta Agrawal and Marine Carpuat. 2023. Controlling Pre-trained Language Models for Grade-Specific Text Simplification. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12807–12819, Singapore. Association for Computational Linguistics."
multiparty_multimodal_conversations_between_patients_their_companions_and_a_social_robot_in_a_hospital_memory_clinic,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
treebank_grammar_techniques_for_nonprojective_dependency_parsing,March,2009.0,EACL,https://aclanthology.org/E09-1055,kuhlmann-satta-2009-treebank,"Marco Kuhlmann and Giorgio Satta. 2009. Treebank Grammar Techniques for Non-Projective Dependency Parsing. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 478–486, Athens, Greece. Association for Computational Linguistics."
semantic_space_grounded_weighted_decoding_for_multiattribute_controllable_dialogue_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
characterizing_and_verifying_scientific_claims_qualitative_causal_structure_is_all_you_need,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.828,wu-etal-2023-characterizing,"Jinxuan Wu, Wenhan Chao, Xian Zhou, and Zhunchen Luo. 2023. Characterizing and Verifying Scientific Claims: Qualitative Causal Structure is All You Need. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13428–13439, Singapore. Association for Computational Linguistics."
detecting_highly_confident_word_translations_from_comparable_corpora_without_any_prior_knowledge,April,2012.0,EACL,https://aclanthology.org/E12-1046,vulic-moens-2012-detecting,"Ivan Vulić and Marie-Francine Moens. 2012. Detecting Highly Confident Word Translations from Comparable Corpora without Any Prior Knowledge. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 449–459, Avignon, France. Association for Computational Linguistics."
factbased_content_weighting_for_evaluating_abstractive_summarisation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
what_does_parameterfree_probing_really_uncover,August,2024.0,ACL,https://aclanthology.org/2024.acl-short.31,buder-grondahl-2024-parameter,"Tommi Buder-Gröndahl. 2024. What Does Parameter-free Probing Really Uncover?. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 327–336, Bangkok, Thailand. Association for Computational Linguistics."
how_to_evaluate_a_summarizer_study_design_and_statistical_analysis_for_manual_linguistic_quality_evaluation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.160,steen-markert-2021-evaluate,"Julius Steen and Katja Markert. 2021. How to Evaluate a Summarizer: Study Design and Statistical Analysis for Manual Linguistic Quality Evaluation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1861–1875, Online. Association for Computational Linguistics."
bidirectional_iterative_prompttuning_for_event_argument_extraction,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.419,dai-etal-2022-bi,"Lu Dai, Bang Wang, Wei Xiang, and Yijun Mo. 2022. Bi-Directional Iterative Prompt-Tuning for Event Argument Extraction. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6251–6263, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
ranking_generated_summaries_by_correctness_an_interesting_but_challenging_application_for_natural_language_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pretraining_methods_for_dialog_context_representation_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
named_entity_recognition_with_parallel_recurrent_neural_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
toward_more_accurate_and_generalizable_evaluation_metrics_for_taskoriented_dialogs,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.19,komma-etal-2023-toward,"Abishek Komma, Nagesh Panyam Chandrasekarasastry, Timothy Leffel, Anuj Goyal, Angeliki Metallinou, Spyros Matsoukas, and Aram Galstyan. 2023. Toward More Accurate and Generalizable Evaluation Metrics for Task-Oriented Dialogs. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 186–195, Toronto, Canada. Association for Computational Linguistics."
inference_of_phrasebased_translation_models_via_minimum_description_length,April,2014.0,EACL,https://aclanthology.org/E14-4018,gonzalez-rubio-casacuberta-2014-inference,"Jesús González-Rubio and Francisco Casacuberta. 2014. Inference of Phrase-Based Translation Models via Minimum Description Length. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 90–94, Gothenburg, Sweden. Association for Computational Linguistics."
semantic_parsing_with_syntax_and_tableaware_sql_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bpedropout_simple_and_effective_subword_regularization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bleaching_text_abstract_features_for_crosslingual_gender_prediction,July,2018.0,ACL,https://aclanthology.org/P18-2061,van-der-goot-etal-2018-bleaching,"Rob van der Goot, Nikola Ljubešić, Ian Matroos, Malvina Nissim, and Barbara Plank. 2018. Bleaching Text: Abstract Features for Cross-lingual Gender Prediction. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 383–389, Melbourne, Australia. Association for Computational Linguistics."
toward_unifying_text_segmentation_and_long_document_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_computational_modelling_of_michif_verbal_morphology,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.226,davis-etal-2021-computational,"Fineen Davis, Eddie A. Santos, and Heather Souter. 2021. On the Computational Modelling of Michif Verbal Morphology. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2631–2636, Online. Association for Computational Linguistics."
jbnu_at_mrp_2019_multilevel_biaffine_attention_for_semantic_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cooperation_as_an_asymmetric_form_of_humancomputer_creativity_case_peace_machine,August,2019.0,ACL,https://aclanthology.org/W19-4105,hamalainen-honkela-2019-co,"Mika Hämäläinen and Timo Honkela. 2019. Co-Operation as an Asymmetric Form of Human-Computer Creativity. Case: Peace Machine. In Proceedings of the First Workshop on NLP for Conversational AI, pages 42–50, Florence, Italy. Association for Computational Linguistics."
effective_interclause_modeling_for_endtoend_emotioncause_pair_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
producing_contextually_appropriate_intonation_is_an_informationstate_based_dialogue_system,April,2003.0,EACL,https://aclanthology.org/E03-1057,kruijff-korbayova-etal-2003-producing,"Ivana Kruijff-Korbayova, Stina Ericsson, Kepa J. Rodríguez, and Elena Karagjosova. 2003. Producing Contextually Appropriate Intonation is an Information-State Based Dialogue System. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
analyzing_and_reducing_the_performance_gap_in_crosslingual_transfer_with_finetuning_slow_and_fast,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
infometic_an_informative_metric_for_referencefree_image_caption_evaluation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploiting_multifeatures_to_detect_hedges_and_their_scope_in_biomedical_texts,July,2010.0,CoNLL,https://aclanthology.org/W10-3015,zhou-etal-2010-exploiting,"Huiwei Zhou, Xiaoyan Li, Degen Huang, Zezhong Li, and Yuansheng Yang. 2010. Exploiting Multi-Features to Detect Hedges and their Scope in Biomedical Texts. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task, pages 106–113, Uppsala, Sweden. Association for Computational Linguistics."
quality_scoring_of_source_words_in_neural_translation_models,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.732,jain-etal-2022-quality,"Priyesh Jain, Sunita Sarawagi, and Tushar Tomar. 2022. Quality Scoring of Source Words in Neural Translation Models. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10683–10691, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
hitab_a_hierarchical_table_dataset_for_question_answering_and_natural_language_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_referential_reader_a_recurrent_entity_network_for_anaphora_resolution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cfsum_coarsetofine_contribution_network_for_multimodal_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluating_neural_model_robustness_for_machine_comprehension,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.210,wu-etal-2021-evaluating,"Winston Wu, Dustin Arendt, and Svitlana Volkova. 2021. Evaluating Neural Model Robustness for Machine Comprehension. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2470–2481, Online. Association for Computational Linguistics."
learning_lowresource_endtoend_goaloriented_dialog_for_fast_and_reliable_system_deployment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reclip_a_strong_zeroshot_baseline_for_referring_expression_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_language_specific_subnetwork_for_multilingual_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sakura_largescale_incorrect_example_retrieval_system_for_learners_of_japanese_as_a_second_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
parsing_into_variableinsitu_logicosemantic_graphs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
structural_priming_demonstrates_abstract_grammatical_representations_in_multilingual_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
do_transformers_need_deep_longrange_memory,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
three_realworld_datasets_and_neural_computational_models_for_classification_tasks_in_patent_landscaping,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.791,pujari-etal-2022-three,"Subhash Pujari, Jannik Strötgen, Mark Giereth, Michael Gertz, and Annemarie Friedrich. 2022. Three Real-World Datasets and Neural Computational Models for Classification Tasks in Patent Landscaping. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11498–11513, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
recovering_traceability_links_in_requirements_documents,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fighting_offensive_language_on_social_media_with_unsupervised_text_style_transfer,July,2018.0,ACL,https://aclanthology.org/P18-2031,nogueira-dos-santos-etal-2018-fighting,"Cicero Nogueira dos Santos, Igor Melnyk, and Inkit Padhi. 2018. Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 189–194, Melbourne, Australia. Association for Computational Linguistics."
argue_with_me_tersely_towards_sentencelevel_counterargument_generation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.1039,lin-etal-2023-argue,"Jiayu Lin, Rong Ye, Meng Han, Qi Zhang, Ruofei Lai, Xinyu Zhang, Zhao Cao, Xuanjing Huang, and Zhongyu Wei. 2023. Argue with Me Tersely: Towards Sentence-Level Counter-Argument Generation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16705–16720, Singapore. Association for Computational Linguistics."
mojitalk_generating_emotional_responses_at_scale,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
large_scale_multilingual_multimodal_summarization_dataset,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.263,verma-etal-2023-large,"Yash Verma, Anubhav Jangra, Raghvendra Verma, and Sriparna Saha. 2023. Large Scale Multi-Lingual Multi-Modal Summarization Dataset. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3620–3632, Dubrovnik, Croatia. Association for Computational Linguistics."
graphq_ir_unifying_the_semantic_parsing_of_graph_query_languages_with_one_intermediate_representation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
baby_srl_modeling_early_language_acquisition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
counterspeeches_up_my_sleeve_intent_distribution_learning_and_persistent_fusion_for_intentconditioned_counterspeech_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
implicit_representations_of_meaning_in_neural_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
alleviating_sequence_information_loss_with_data_overlapping_and_prime_batch_sizes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gaia_search_hugging_face_and_pyserini_interoperability_for_nlp_training_data_exploration,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
extending_logic_explained_networks_to_text_classification,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.604,jain-etal-2022-extending,"Rishabh Jain, Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Davide Buffelli, and Pietro Lio. 2022. Extending Logic Explained Networks to Text Classification. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8838–8857, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
evaluating_zeroshot_transfers_and_multilingual_models_for_dependency_parsing_and_pos_tagging_within_the_lowresource_language_family_tupan,May,2022.0,ACL,https://aclanthology.org/2022.acl-srw.1,blum-2022-evaluating,"Frederic Blum. 2022. Evaluating zero-shot transfers and multilingual models for dependency parsing and POS tagging within the low-resource language family Tupían. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 1–9, Dublin, Ireland. Association for Computational Linguistics."
optimizing_the_factual_correctness_of_a_summary_a_study_of_summarizing_radiology_reports,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatic_selection_of_reference_pages_in_wikipedia_for_improving_targeted_entities_disambiguation,April,2014.0,EACL,https://aclanthology.org/E14-4021,makino-2014-automatic,"Takuya Makino. 2014. Automatic Selection of Reference Pages in Wikipedia for Improving Targeted Entities Disambiguation. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 106–110, Gothenburg, Sweden. Association for Computational Linguistics."
online_learning_for_deterministic_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
knowledge_distillation__label_smoothing_fact_or_fallacy,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
analyzing_analytical_methods_the_case_of_phonology_in_neural_models_of_spoken_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sentence_centrality_revisited_for_unsupervised_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
opusfilter_a_configurable_parallel_corpus_filtering_toolbox,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
toward_annotator_group_bias_in_crowdsourcing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_pointwise_mutual_information_pmi_by_incorporating_significant_cooccurrence,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
what_is_your_article_based_on_inferring_finegrained_provenance,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_crossdomain_crosslingual_and_multimodal_deception_detection,May,2022.0,ACL,https://aclanthology.org/2022.acl-srw.30,panda-levitan-2022-improving,"Subhadarshi Panda and Sarah Ita Levitan. 2022. Improving Cross-domain, Cross-lingual and Multi-modal Deception Detection. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 383–390, Dublin, Ireland. Association for Computational Linguistics."
frame_semantic_tree_kernels_for_social_network_extraction_from_text,April,2014.0,EACL,https://aclanthology.org/E14-1023,agarwal-etal-2014-frame,"Apoorv Agarwal, Sriramkumar Balasubramanian, Anup Kotalwar, Jiehan Zheng, and Owen Rambow. 2014. Frame Semantic Tree Kernels for Social Network Extraction from Text. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 211–219, Gothenburg, Sweden. Association for Computational Linguistics."
finetuned_language_models_are_continual_learners,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
polarizedvae_proximity_based_disentangled_representation_learning_for_text_generation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.32,balasubramanian-etal-2021-polarized,"Vikash Balasubramanian, Ivan Kobyzev, Hareesh Bahuleyan, Ilya Shapiro, and Olga Vechtomova. 2021. Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 416–423, Online. Association for Computational Linguistics."
substructure_distribution_projection_for_zeroshot_crosslingual_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_consistent_documentlevel_entity_linking_joint_models_for_entity_linking_and_coreference_resolution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_kind_dataset_a_social_collaboration_approach_for_nuanced_dialect_data_collection,March,2024.0,EACL,https://aclanthology.org/2024.eacl-srw.3,yamani-etal-2024-kind,"Asma Yamani, Raghad Alziyady, Reem AlYami, Salma Albelali, Leina Albelali, Jawharah Almulhim, Amjad Alsulami, Motaz Alfarraj, and Rabeah Al-Zaidy. 2024. The KIND Dataset: A Social Collaboration Approach for Nuanced Dialect Data Collection. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 32–43, St. Julian’s, Malta. Association for Computational Linguistics."
neural_unsupervised_reconstruction_of_protolanguage_word_forms,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
parameterefficient_tuning_for_large_language_model_without_calculating_its_gradients,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
baracks_wife_hillary_using_knowledge_graphs_for_factaware_language_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
uniparser_unified_semantic_parser_for_question_answering_on_knowledge_base_and_database,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.605,liu-etal-2022-uni,"Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, and Yingbo Zhou. 2022. Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8858–8869, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
gneg_graphbased_negative_sampling_for_word2vec,July,2018.0,ACL,https://aclanthology.org/P18-2090,zhang-zweigenbaum-2018-gneg,"Zheng Zhang and Pierre Zweigenbaum. 2018. GNEG: Graph-Based Negative Sampling for word2vec. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 566–571, Melbourne, Australia. Association for Computational Linguistics."
distributional_lexical_entailment_by_topic_coherence,April,2014.0,EACL,https://aclanthology.org/E14-1054,rimell-2014-distributional,"Laura Rimell. 2014. Distributional Lexical Entailment by Topic Coherence. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 511–519, Gothenburg, Sweden. Association for Computational Linguistics."
kga_a_general_machine_unlearning_framework_based_on_knowledge_gap_alignment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_phonetic_model_of_nonnative_spoken_word_processing,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.127,matusevych-etal-2021-phonetic,"Yevgen Matusevych, Herman Kamper, Thomas Schatz, Naomi Feldman, and Sharon Goldwater. 2021. A phonetic model of non-native spoken word processing. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1480–1490, Online. Association for Computational Linguistics."
direct_speechtospeech_translation_with_discrete_units,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rethinking_stealthiness_of_backdoor_attack_against_nlp_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
promptsource_an_integrated_development_environment_and_repository_for_natural_language_prompts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
relationaware_ensemble_learning_for_knowledge_graph_embedding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
medeval_a_multilevel_multitask_and_multidomain_medical_benchmark_for_language_model_evaluation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
oieoia_an_adaptable_and_efficient_open_information_extraction_framework,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
document_flattening_beyond_concatenating_context_for_documentlevel_neural_machine_translation,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.33,wu-etal-2023-document,"Minghao Wu, George Foster, Lizhen Qu, and Gholamreza Haffari. 2023. Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 448–462, Dubrovnik, Croatia. Association for Computational Linguistics."
bootstrapping_unsupervised_bilingual_lexicon_induction,April,2017.0,EACL,https://aclanthology.org/E17-2098,hauer-etal-2017-bootstrapping,"Bradley Hauer, Garrett Nicolai, and Grzegorz Kondrak. 2017. Bootstrapping Unsupervised Bilingual Lexicon Induction. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 619–624, Valencia, Spain. Association for Computational Linguistics."
systematic_inequalities_in_language_technology_performance_across_the_worlds_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_bla_benchmark_investigating_basic_language_abilities_of_pretrained_multimodal_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
champ_efficient_annotation_and_consolidation_of_cluster_hierarchies,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-demo.37,cattan-etal-2023-champ,"Arie Cattan, Tom Hope, Doug Downey, Roy Bar-Haim, Lilach Eden, Yoav Kantor, and Ido Dagan. 2023. CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 403–412, Singapore. Association for Computational Linguistics."
open_latest_revision_pdf_of_improving_conversational_abilities_of_quantized_large_language_models_via_direct_preference_alignment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
word_and_document_embedding_with_vmfmixture_priors_on_context_word_vectors,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_symbolic_rules_over_abstract_meaning_representations_for_textual_reinforcement_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
domainaware_selfsupervised_pretraining_for_labelefficient_meme_analysis,November,2022.0,,https://aclanthology.org/2022.aacl-main.60,sharma-etal-2022-domain,"Shivam Sharma, Mohd Khizir Siddiqui, Md. Shad Akhtar, and Tanmoy Chakraborty. 2022. Domain-aware Self-supervised Pre-training for Label-Efficient Meme Analysis. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 792–805, Online only. Association for Computational Linguistics."
anytod_a_programmable_taskoriented_dialog_system,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.1006,zhao-etal-2023-anytod,"Jeffrey Zhao, Yuan Cao, Raghav Gupta, Harrison Lee, Abhinav Rastogi, Mingqiu Wang, Hagen Soltau, Izhak Shafran, and Yonghui Wu. 2023. AnyTOD: A Programmable Task-Oriented Dialog System. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16189–16204, Singapore. Association for Computational Linguistics."
cognival_a_framework_for_cognitive_word_embedding_evaluation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crowdsourcing_learning_as_domain_adaptation_a_case_study_on_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
open_world_classification_with_adaptive_negative_samples,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lightly_supervised_transliteration_for_machine_translation,March,2009.0,EACL,https://aclanthology.org/E09-1050,kirschenbaum-wintner-2009-lightly,"Amit Kirschenbaum and Shuly Wintner. 2009. Lightly Supervised Transliteration for Machine Translation. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 433–441, Athens, Greece. Association for Computational Linguistics."
explain_yourself_leveraging_language_models_for_commonsense_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_evaluation_of_bangla_word_analogies,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.811,akter-etal-2023-evaluation,"Mousumi Akter, Souvika Sarkar, and Shubhra Kanti Karmaker Santu. 2023. On Evaluation of Bangla Word Analogies. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13121–13127, Singapore. Association for Computational Linguistics."
grouping_business_news_stories_based_on_salience_of_named_entities,April,2017.0,EACL,https://aclanthology.org/E17-1103,escoter-etal-2017-grouping,"Llorenç Escoter, Lidia Pivovarova, Mian Du, Anisia Katinskaia, and Roman Yangarber. 2017. Grouping business news stories based on salience of named entities. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 1096–1106, Valencia, Spain. Association for Computational Linguistics."
amrs_assemble_learning_to_ensemble_with_autoregressive_models_for_amr_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_novel_graphbased_multimodal_fusion_encoder_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
computing_lattice_bleu_oracle_scores_for_machine_translation,April,2012.0,EACL,https://aclanthology.org/E12-1013,sokolov-etal-2012-computing,"Artem Sokolov, Guillaume Wisniewski, and François Yvon. 2012. Computing Lattice BLEU Oracle Scores for Machine Translation. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 120–129, Avignon, France. Association for Computational Linguistics."
boosting_dialog_response_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improved_natural_language_generation_via_loss_truncation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_efficient_dialogue_pretraining_with_transferable_and_interpretable_latent_structure,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.683,zhao-etal-2022-towards,"Xueliang Zhao, Lemao Liu, Tingchen Fu, Shuming Shi, Dongyan Zhao, and Rui Yan. 2022. Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10051–10063, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
let_me_check_the_examples_enhancing_demonstration_learning_via_explicit_imitation,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.93,wang-etal-2023-check,"Sirui Wang, Kaiwen Wei, Hongzhi Zhang, Yuntao Li, and Wei Wu. 2023. Let Me Check the Examples: Enhancing Demonstration Learning via Explicit Imitation. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1080–1088, Toronto, Canada. Association for Computational Linguistics."
multiscale_progressive_attention_network_for_video_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
detecting_subevents_using_discourse_and_narrative_features,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
what_you_can_cram_into_a_single__vector_probing_sentence_embeddings_for_linguistic_properties,July,2018.0,ACL,https://aclanthology.org/P18-1198,conneau-etal-2018-cram,"Alexis Conneau, German Kruszewski, Guillaume Lample, Loïc Barrault, and Marco Baroni. 2018. What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2126–2136, Melbourne, Australia. Association for Computational Linguistics."
an_environment_for_relational_annotation_of_political_debates,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_opendomain_keyphrase_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
answering_while_summarizing_multitask_learning_for_multihop_qa_with_evidence_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_a_grammar_inducer_from_massive_uncurated_instructional_videos,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.16,zhang-etal-2022-learning-grammar,"Songyang Zhang, Linfeng Song, Lifeng Jin, Haitao Mi, Kun Xu, Dong Yu, and Jiebo Luo. 2022. Learning a Grammar Inducer from Massive Uncurated Instructional Videos. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 233–247, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
kardenlu_transfer_to_lowresource_languages_with_the_help_of_a_highresource_cousin__a_benchmark_and_evaluation_for_turkic_languages,June,2019.0,NAACL,https://aclanthology.org/N19-1383,huang-etal-2019-cross,"Lifu Huang, Heng Ji, and Jonathan May. 2019. Cross-lingual Multi-Level Adversarial Transfer to Enhance Low-Resource Name Tagging. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pages 3823–3833, Minneapolis, Minnesota. Association for Computational Linguistics."
mocha_a_multitask_training_approach_for_coherent_text_generation_from_cognitive_perspective,November,2020.0,EMNLP,https://aclanthology.org/2020.emnlp-main.528,chen-etal-2020-mocha,"Anthony Chen, Gabriel Stanovsky, Sameer Singh, and Matt Gardner. 2020. MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 6521–6532, Online. Association for Computational Linguistics."
inductive_relation_prediction_with_logical_reasoning_using_contrastive_representations,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.286,pan-etal-2022-inductive,"Yudai Pan, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qika Lin, Xin Hu, and Qianying Wang. 2022. Inductive Relation Prediction with Logical Reasoning Using Contrastive Representations. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4261–4274, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
speech_structured_prediction_with_energybased_eventcentric_hyperspheres,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploiting_explicit_paths_for_multihop_reading_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neuroprompts_an_adaptive_framework_to_optimize_prompts_for_texttoimage_generation,March,2024.0,EACL,https://aclanthology.org/2024.eacl-demo.17,rosenman-etal-2024-neuroprompts,"Shachar Rosenman, Vasudev Lal, and Phillip Howard. 2024. NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 159–167, St. Julians, Malta. Association for Computational Linguistics."
uncertaintyaware_curriculum_learning_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modular_visual_question_answering_via_code_generation,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.65,subramanian-etal-2023-modular,"Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, and Dan Klein. 2023. Modular Visual Question Answering via Code Generation. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 747–761, Toronto, Canada. Association for Computational Linguistics."
joint_endtoend_semantic_protorole_labeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
does_the_order_of_training_samples_matter_improving_neural_datatotext_generation_with_curriculum_learning,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.61,chang-etal-2021-order,"Ernie Chang, Hui-Syuan Yeh, and Vera Demberg. 2021. Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 727–733, Online. Association for Computational Linguistics."
what_do_deck_chairs_and_sun_hats_have_in_common_uncovering_shared_properties_in_large_concept_vocabularies,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
finegrained_category_discovery_under_coarsegrained_supervision_with_hierarchical_weighted_selfcontrastive_learning,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.85,an-etal-2022-fine,"Wenbin An, Feng Tian, Ping Chen, Siliang Tang, Qinghua Zheng, and QianYing Wang. 2022. Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1314–1323, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
do_i_have_the_knowledge_to_answer_investigating_answerability_of_knowledge_base_questions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
understanding_incontext_learning_via_supportive_pretraining_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fewnerd_a_fewshot_named_entity_recognition_dataset,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_continual_relation_extraction_by_distinguishing_analogous_semantics,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multidocument_summarization_with_centroidbased_pretraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
continual_learning_of_neural_machine_translation_within_low_forgetting_risk_regions,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.111,gu-etal-2022-continual,"Shuhao Gu, Bojie Hu, and Yang Feng. 2022. Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1707–1718, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
mind_a_largescale_dataset_for_news_recommendation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
vkie_the_application_of_key_information_extraction_on_video_text,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.51,an-etal-2023-vkie,"Siyu An, Ye Liu, Haoyuan Peng, and Di Yin. 2023. VKIE: The Application of Key Information Extraction on Video Text. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 532–540, Singapore. Association for Computational Linguistics."
a_lightweight_recurrent_network_for_sequence_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pretraining_with_artificial_language_studying_transferable_knowledge_in_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
what_are_you_token_about_dense_retrieval_as_distributions_over_the_vocabulary,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_unsupervised_morphological_analysis_of_polysynthetic_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
using_and_comparing_rhetorical_structure_theory_parsers_with_rstworkbench,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_integration_of_dependency_relation_classification_and_semantic_role_labeling_using_bilayer_maximum_entropy_markov_models,August,2008.0,CoNLL,https://aclanthology.org/W08-2135,sun-etal-2008-integration,"Weiwei Sun, Hongzhan Li, and Zhifang Sui. 2008. The Integration of Dependency Relation Classification and Semantic Role Labeling Using Bilayer Maximum Entropy Markov Models. In CoNLL 2008: Proceedings of the Twelfth Conference on Computational Natural Language Learning, pages 243–247, Manchester, England. Coling 2008 Organizing Committee."
argumentbased_detection_and_classification_of_fallacies_in_political_debates,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hierarchical_transfer_learning_for_multilabel_text_classification,July,2019.0,ACL,https://aclanthology.org/P19-1633,banerjee-etal-2019-hierarchical,"Siddhartha Banerjee, Cem Akkaya, Francisco Perez-Sorrosal, and Kostas Tsioutsiouliklis. 2019. Hierarchical Transfer Learning for Multi-label Text Classification. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 6295–6300, Florence, Italy. Association for Computational Linguistics."
be_precise_or_fuzzy_learning_the_meaning_of_cardinals_and_quantifiers_from_vision,April,2017.0,EACL,https://aclanthology.org/E17-2054,pezzelle-etal-2017-precise,"Sandro Pezzelle, Marco Marelli, and Raffaella Bernardi. 2017. Be Precise or Fuzzy: Learning the Meaning of Cardinals and Quantifiers from Vision. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 337–342, Valencia, Spain. Association for Computational Linguistics."
modeling_word_formation_in_englishgerman_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
kgflip_knowledgeguided_fashiondomain_languageimage_pretraining_for_ecommerce,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_decipherment_via_minimumcost_flow_from_ugaritic_to_linear_b,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mednorm_a_corpus_and_embeddings_for_crossterminology_medical_concept_normalisation,August,2019.0,ACL,https://aclanthology.org/W19-3204,belousov-etal-2019-mednorm,"Maksim Belousov, William G. Dixon, and Goran Nenadic. 2019. MedNorm: A Corpus and Embeddings for Cross-terminology Medical Concept Normalisation. In Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task, pages 31–39, Florence, Italy. Association for Computational Linguistics."
conversation_learner__a_machine_teaching_tool_for_building_dialog_managers_for_taskoriented_dialog_systems,July,2020.0,ACL,https://aclanthology.org/2020.acl-demos.39,shukla-etal-2020-conversation,"Swadheen Shukla, Lars Liden, Shahin Shayandeh, Eslam Kamal, Jinchao Li, Matt Mazzola, Thomas Park, Baolin Peng, and Jianfeng Gao. 2020. Conversation Learner - A Machine Teaching Tool for Building Dialog Managers for Task-Oriented Dialog Systems. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 343–349, Online. Association for Computational Linguistics."
targetagnostic_genderaware_contrastive_learning_for_mitigating_bias_in_multilingual_machine_translation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.1046,lee-etal-2023-target,"Minwoo Lee, Hyukhun Koh, Kang-il Lee, Dongdong Zhang, Minsung Kim, and Kyomin Jung. 2023. Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16825–16839, Singapore. Association for Computational Linguistics."
language_independent_morphological_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reducing_cohort_bias_in_natural_language_understanding_systems_with_targeted_selftraining_scheme,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.53,le-etal-2023-reducing,"Dieu-thu Le, Gabriela Hernandez, Bei Chen, and Melanie Bradford. 2023. Reducing cohort bias in natural language understanding systems with targeted self-training scheme. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 552–560, Toronto, Canada. Association for Computational Linguistics."
examining_temporality_in_document_classification,July,2018.0,ACL,https://aclanthology.org/P18-2110,huang-paul-2018-examining,"Xiaolei Huang and Michael J. Paul. 2018. Examining Temporality in Document Classification. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 694–699, Melbourne, Australia. Association for Computational Linguistics."
cognitively_motivated_features_for_readability_assessment,March,2009.0,EACL,https://aclanthology.org/E09-1027,feng-etal-2009-cognitively,"Lijun Feng, Noémie Elhadad, and Matt Huenerfauth. 2009. Cognitively Motivated Features for Readability Assessment. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 229–237, Athens, Greece. Association for Computational Linguistics."
a_comparison_of_event_models_for_naive_bayes_antispam_email_filtering,April,2003.0,EACL,https://aclanthology.org/E03-1059,schneider-2003-comparison,"Karl-Michael Schneider. 2003. A Comparison of Event Models for Naive Bayes Anti-Spam E-Mail Filtering. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
camero_consistency_regularized_ensemble_of_perturbed_language_models_with_weight_sharing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
texttotext_semantic_similarity_for_automatic_short_answer_grading,March,2009.0,EACL,https://aclanthology.org/E09-1065,mohler-mihalcea-2009-text,"Michael Mohler and Rada Mihalcea. 2009. Text-to-Text Semantic Similarity for Automatic Short Answer Grading. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 567–575, Athens, Greece. Association for Computational Linguistics."
not_another_negation_benchmark_the_nannli_test_suite_for_subclausal_negation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
affective_retrofitted_word_embeddings,November,2022.0,,https://aclanthology.org/2022.aacl-main.42,shah-etal-2022-affective,"Sapan Shah, Sreedhar Reddy, and Pushpak Bhattacharyya. 2022. Affective Retrofitted Word Embeddings. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 550–561, Online only. Association for Computational Linguistics."
on_the_robustness_of_language_encoders_against_grammatical_errors,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
how_reparametrization_trick_broke_differentiallyprivate_text_representation_learning,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.87,habernal-2022-reparametrization,"Ivan Habernal. 2022. How reparametrization trick broke differentially-private text representation learning. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 771–777, Dublin, Ireland. Association for Computational Linguistics."
data_augmentation_for_hypernymy_detection,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.89,kober-etal-2021-data,"Thomas Kober, Julie Weeds, Lorenzo Bertolini, and David Weir. 2021. Data Augmentation for Hypernymy Detection. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1034–1048, Online. Association for Computational Linguistics."
extremely_small_bert_models_from_mixedvocabulary_training,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.238,zhao-etal-2021-extremely,"Sanqiang Zhao, Raghav Gupta, Yang Song, and Denny Zhou. 2021. Extremely Small BERT Models from Mixed-Vocabulary Training. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2753–2759, Online. Association for Computational Linguistics."
attention_over_heads_a_multihop_attention_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_microsoft_toolkit_of_multitask_deep_neural_networks_for_natural_language_understanding,July,2020.0,ACL,https://aclanthology.org/2020.acl-demos.16,liu-etal-2020-microsoft,"Xiaodong Liu, Yu Wang, Jianshu Ji, Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao, and Jianfeng Gao. 2020. The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 118–126, Online. Association for Computational Linguistics."
injecting_domain_knowledge_in_language_models_for_taskoriented_dialogue_systems,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.820,emelin-etal-2022-injecting,"Denis Emelin, Daniele Bonadiman, Sawsan Alqahtani, Yi Zhang, and Saab Mansour. 2022. Injecting Domain Knowledge in Language Models for Task-oriented Dialogue Systems. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11962–11974, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
building_realworld_meeting_summarization_systems_using_large_language_models_a_practical_perspective,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fluent_response_generation_for_conversational_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bento_a_visual_platform_for_building_clinical_nlp_pipelines_based_on_codalab,July,2020.0,ACL,https://aclanthology.org/2020.acl-demos.13,jin-etal-2020-bento,"Yonghao Jin, Fei Li, and Hong Yu. 2020. BENTO: A Visual Platform for Building Clinical NLP Pipelines Based on CodaLab. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 95–100, Online. Association for Computational Linguistics."
a_computer_assisted_speech_transcription_system,April,2012.0,EACL,https://aclanthology.org/E12-2009,revuelta-martinez-etal-2012-computer,"Alejandro Revuelta-Martínez, Luis Rodríguez, and Ismael García-Varea. 2012. A Computer Assisted Speech Transcription System. In Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 41–45, Avignon, France. Association for Computational Linguistics."
conversations_are_not_flat_modeling_the_dynamic_information_flow_across_dialogue_utterances,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_divideandconquer_strategy_for_shallow_parsing_of_german_free_texts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
declutr_deep_contrastive_learning_for_unsupervised_textual_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mandarin_partofspeech_tagging_and_discriminative_reranking,June,2007.0,,https://aclanthology.org/D07-1117,huang-etal-2007-mandarin,"Zhongqiang Huang, Mary Harper, and Wen Wang. 2007. Mandarin Part-of-Speech Tagging and Discriminative Reranking. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 1093–1102, Prague, Czech Republic. Association for Computational Linguistics."
advolm_generating_textual_adversaries_via_olm,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.71,malik-etal-2021-adv,"Vijit Malik, Ashwani Bhat, and Ashutosh Modi. 2021. Adv-OLM: Generating Textual Adversaries via OLM. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 841–849, Online. Association for Computational Linguistics."
towards_speechtotext_translation_without_speech_recognition,April,2017.0,EACL,https://aclanthology.org/E17-2076,bansal-etal-2017-towards,"Sameer Bansal, Herman Kamper, Adam Lopez, and Sharon Goldwater. 2017. Towards speech-to-text translation without speech recognition. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 474–479, Valencia, Spain. Association for Computational Linguistics."
breaking_through_the_80_glass_ceiling_raising_the_state_of_the_art_in_word_sense_disambiguation_by_incorporating_knowledge_graph_information,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
deep_reinforcement_learning_for_chinese_zero_pronoun_resolution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_ruarobot_dataset_helping_avoid_chatbot_deception_by_detecting_user_questions_about_human_or_nonhuman_identity,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_languagespecific_layers_for_multilingual_machine_translation,July,2023.0,ACL,https://aclanthology.org/2023.acl-long.825,pires-etal-2023-learning,"Telmo Pires, Robin Schmidt, Yi-Hsiu Liao, and Stephan Peitz. 2023. Learning Language-Specific Layers for Multilingual Machine Translation. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 14767–14783, Toronto, Canada. Association for Computational Linguistics."
benchmarking_multimodal_regex_synthesis_with_complex_structures,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cem_machinehuman_chatting_handoff_via_causalenhance_module,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
better_quality_pretraining_data_and_t5_models_for_african_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fewshot_queryfocused_summarization_with_prefixmerging,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
marrying_up_regular_expressions_with_neural_networks_a_case_study_for_spoken_language_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_few_topical_tweets_are_enough_for_effective_user_stance_detection,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.227,samih-darwish-2021-topical,"Younes Samih and Kareem Darwish. 2021. A Few Topical Tweets are Enough for Effective User Stance Detection. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2637–2646, Online. Association for Computational Linguistics."
sudaalibaba_at_mrp_2019_graphbased_models_with_bert,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
embedding_time_expressions_for_deep_temporal_ordering_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
agggen_ordering_and_aggregating_while_generating,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
breakpoint_transformers_for_modeling_and_tracking_intermediate_beliefs,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.658,richardson-etal-2022-breakpoint,"Kyle Richardson, Ronen Tamari, Oren Sultan, Dafna Shahaf, Reut Tsarfaty, and Ashish Sabharwal. 2022. Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9703–9719, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
tatqa_a_question_answering_benchmark_on_a_hybrid_of_tabular_and_textual_content_in_finance,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
structsum_summarization_via_structured_representations,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.220,balachandran-etal-2021-structsum,"Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime Carbonell, and Yulia Tsvetkov. 2021. StructSum: Summarization via Structured Representations. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2575–2585, Online. Association for Computational Linguistics."
cultural_concept_adaptation_on_multimodal_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluating_unsupervised_argument_aligners_via_generation_of_conclusions_of_structured_scientific_abstracts,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.14,gao-etal-2024-evaluating,"Yingqiang Gao, Nianlong Gu, Jessica Lam, James Henderson, and Richard Hahnloser. 2024. Evaluating Unsupervised Argument Aligners via Generation of Conclusions of Structured Scientific Abstracts. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 151–160, St. Julian’s, Malta. Association for Computational Linguistics."
mc2_multiperspective_convolutional_cube_for_conversational_machine_reading_comprehension,July,2019.0,ACL,https://aclanthology.org/P19-1622,zhang-2019-mc,"Xuanyu Zhang. 2019. MCˆ2: Multi-perspective Convolutional Cube for Conversational Machine Reading Comprehension. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 6185–6190, Florence, Italy. Association for Computational Linguistics."
loft_enhancing_faithfulness_and_diversity_for_tabletotext_generation_via_logic_form_control,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.40,zhao-etal-2023-loft,"Yilun Zhao, Zhenting Qi, Linyong Nan, Lorenzo Jaime Flores, and Dragomir Radev. 2023. LoFT: Enhancing Faithfulness and Diversity for Table-to-Text Generation via Logic Form Control. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 554–561, Dubrovnik, Croatia. Association for Computational Linguistics."
crossview_language_modeling_towards_unified_crosslingual_crossmodal_pretraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_dependency_parsers_with_supertags,April,2014.0,EACL,https://aclanthology.org/E14-4030,ouchi-etal-2014-improving,"Hiroki Ouchi, Kevin Duh, and Yuji Matsumoto. 2014. Improving Dependency Parsers with Supertags. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 154–158, Gothenburg, Sweden. Association for Computational Linguistics."
selfsupervised_multimodal_opinion_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
languageaware_interlingua_for_multilingual_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pal_to_lend_a_helping_hand_towards_building_an_emotion_adaptive_polite_and_empathetic_counseling_conversational_agent,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
stereotype_and_skew_quantifying_gender_bias_in_pretrained_and_finetuned_language_models,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.190,de-vassimon-manela-etal-2021-stereotype,"Daniel de Vassimon Manela, David Errington, Thomas Fisher, Boris van Breugel, and Pasquale Minervini. 2021. Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2232–2242, Online. Association for Computational Linguistics."
doctor_recommendation_in_online_health_forums_via_expertise_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crossing_variational_autoencoders_for_answer_retrieval,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
how_certain_is_your_transformer,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.157,shelmanov-etal-2021-certain,"Artem Shelmanov, Evgenii Tsymbalov, Dmitri Puzyrev, Kirill Fedyanin, Alexander Panchenko, and Maxim Panov. 2021. How Certain is Your Transformer?. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1833–1840, Online. Association for Computational Linguistics."
this_reads_like_that_deep_learning_for_interpretable_natural_language_processing,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.869,fanconi-etal-2023-reads,"Claudio Fanconi, Moritz Vandenhirtz, Severin Husmann, and Julia Vogt. 2023. This Reads Like That: Deep Learning for Interpretable Natural Language Processing. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 14067–14076, Singapore. Association for Computational Linguistics."
windowbased_neural_tagging_for_shallow_discourse_argument_labeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
robust_encodings_a_framework_for_combating_adversarial_typos,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluating_language_understanding_accuracy_with_respect_to_objective_outcomes_in_a_dialogue_system,April,2012.0,EACL,https://aclanthology.org/E12-1048,dzikovska-etal-2012-evaluating,"Myroslava O. Dzikovska, Peter Bell, Amy Isard, and Johanna D. Moore. 2012. Evaluating language understanding accuracy with respect to objective outcomes in a dialogue system. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 471–481, Avignon, France. Association for Computational Linguistics."
wedef_weakly_supervised_backdoor_defense_for_text_classification,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.798,jin-etal-2022-wedef,"Lesheng Jin, Zihan Wang, and Jingbo Shang. 2022. WeDef: Weakly Supervised Backdoor Defense for Text Classification. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11614–11626, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
on_the_robustness_of_selfattentive_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
chasing_hypernyms_in_vector_spaces_with_entropy,April,2014.0,EACL,https://aclanthology.org/E14-4008,santus-etal-2014-chasing,"Enrico Santus, Alessandro Lenci, Qin Lu, and Sabine Schulte im Walde. 2014. Chasing Hypernyms in Vector Spaces with Entropy. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 38–42, Gothenburg, Sweden. Association for Computational Linguistics."
tinynewsrec_effective_and_efficient_plmbased_news_recommendation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hpt_hierarchyaware_prompt_tuning_for_hierarchical_text_classification,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.246,wang-etal-2022-hpt,"Zihan Wang, Peiyi Wang, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui, and Houfeng Wang. 2022. HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3740–3751, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
beyond_the_english_web_zeroshot_crosslingual_and_lightweight_monolingual_classification_of_registers,April,2021.0,EACL,https://aclanthology.org/2021.eacl-srw.24,repo-etal-2021-beyond,"Liina Repo, Valtteri Skantsi, Samuel Rönnqvist, Saara Hellström, Miika Oinonen, Anna Salmela, Douglas Biber, Jesse Egbert, Sampo Pyysalo, and Veronika Laippala. 2021. Beyond the English Web: Zero-Shot Cross-Lingual and Lightweight Monolingual Classification of Registers. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 183–191, Online. Association for Computational Linguistics."
attention_flows_are_shapley_value_explanations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
keep_learning_selfsupervised_metalearning_for_learning_from_inference,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.6,kedia-chinthakindi-2021-keep,"Akhil Kedia and Sai Chetan Chinthakindi. 2021. Keep Learning: Self-supervised Meta-learning for Learning from Inference. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 63–77, Online. Association for Computational Linguistics."
incognitus_a_toolbox_for_automated_clinical_notes_anonymization,May,2023.0,EACL,https://aclanthology.org/2023.eacl-demo.22,ribeiro-etal-2023-incognitus,"Bruno Ribeiro, Vitor Rolla, and Ricardo Santos. 2023. INCOGNITUS: A Toolbox for Automated Clinical Notes Anonymization. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 187–194, Dubrovnik, Croatia. Association for Computational Linguistics."
noisytune_a_little_noise_can_help_you_finetune_pretrained_language_models_better,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.76,wu-etal-2022-noisytune,"Chuhan Wu, Fangzhao Wu, Tao Qi, and Yongfeng Huang. 2022. NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 680–685, Dublin, Ireland. Association for Computational Linguistics."
training_language_models_with_memory_augmentation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
making_a_point_pointergenerator_transformers_for_disjoint_vocabularies,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
linknbed_multigraph_representation_learning_with_entity_linkage,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modelling_the_usage_of_discourse_connectives_as_rational_speech_acts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
parameter_selection_why_we_should_pay_more_attention_to_it,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multimodal_graph_transformer_for_multimodal_question_answering,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.15,he-wang-2023-multimodal,"Xuehai He and Xin Wang. 2023. Multimodal Graph Transformer for Multimodal Question Answering. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 189–200, Dubrovnik, Croatia. Association for Computational Linguistics."
proofinfer_generating_proof_via_iterative_hierarchical_inference,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.747,fei-etal-2022-proofinfer,"Zichu Fei, Qi Zhang, Xin Zhou, Tao Gui, and Xuanjing Huang. 2022. ProofInfer: Generating Proof via Iterative Hierarchical Inference. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10883–10892, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
investigating_the_robustness_of_natural_language_generation_from_logical_forms_via_counterfactual_samples,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.370,liu-etal-2022-investigating,"Chengyuan Liu, Leilei Gan, Kun Kuang, and Fei Wu. 2022. Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5499–5512, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
a_robust_portable_natural_language_data_base_interface,February,1983.0,ANLP,https://aclanthology.org/A83-1004,ginsparg-1983-robust,"Jerrold M. Ginsparg. 1983. A Robust Portable Natural Language Data Base Interface. In First Conference on Applied Natural Language Processing, pages 25–30, Santa Monica, California, USA. Association for Computational Linguistics."
a_second_wave_of_ud_hebrew_treebanking_and_crossdomain_parsing,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.292,zeldes-etal-2022-second,"Amir Zeldes, Nick Howell, Noam Ordan, and Yifat Ben Moshe. 2022. A Second Wave of UD Hebrew Treebanking and Cross-Domain Parsing. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4331–4344, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
leveraging_qa_datasets_to_improve_generative_data_augmentation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.660,mekala-etal-2022-leveraging,"Dheeraj Mekala, Tu Vu, Timo Schick, and Jingbo Shang. 2022. Leveraging QA Datasets to Improve Generative Data Augmentation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9737–9750, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
categorizing_and_inferring_the_relationship_between_the_text_and_image_of_twitter_posts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
detecting_adverse_drug_reactions_from_biomedical_texts_with_neural_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_visual_question_answering_on_pathology_images,August,2021.0,,https://aclanthology.org/2021.acl-short.90,he-etal-2021-towards,"Xuehai He, Zhuo Cai, Wenlan Wei, Yichen Zhang, Luntian Mou, Eric Xing, and Pengtao Xie. 2021. Towards Visual Question Answering on Pathology Images. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 708–718, Online. Association for Computational Linguistics."
towards_zeroshot_multilingual_transfer_for_codeswitched_responses,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
idrisira_the_first_arabic_location_mention_recognition_dataset_of_disaster_tweets,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generating_and_evaluating_tests_for_k12_students_with_language_model_simulations_a_case_study_on_sentence_reading_efficiency,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sageviz_schema_generation_and_visualization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
what_can_syntaxbased_mt_learn_from_phrasebased_mt,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
combining_a_statistical_language_model_with_logistic_regression_to_predict_the_lexical_and_syntactic_difficulty_of_texts_for_ffl,April,2009.0,EACL,https://aclanthology.org/E09-3003,francois-2009-combining,"Thomas François. 2009. Combining a Statistical Language Model with Logistic Regression to Predict the Lexical and Syntactic Difficulty of Texts for FFL. In Proceedings of the Student Research Workshop at EACL 2009, pages 19–27, Athens, Greece. Association for Computational Linguistics."
multimodal_transformer_for_multimodal_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
layoutmask_enhance_textlayout_interaction_in_multimodal_pretraining_for_document_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
trips_efficient_visionandlanguage_pretraining_with_textrelevant_image_patch_selection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_hitscir_system_for_endtoend_parsing_of_universal_dependencies,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
outlieraware_training_for_improving_group_accuracy_disparities,November,2022.0,,https://aclanthology.org/2022.aacl-srw.8,chen-etal-2022-outlier,"Li-Kuang Chen, Canasai Kruengkrai, and Junichi Yamagishi. 2022. Outlier-Aware Training for Improving Group Accuracy Disparities. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: Student Research Workshop, pages 54–60, Online. Association for Computational Linguistics."
hype_better_pretrained_language_model_finetuning_with_hidden_representation_perturbation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ambiguous_learning_from_retrieval_towards_zeroshot_semantic_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mask_the_correct_tokens_an_embarrassingly_simple_approach_for_error_correction,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.708,shen-etal-2022-mask,"Kai Shen, Yichong Leng, Xu Tan, Siliang Tang, Yuan Zhang, Wenjie Liu, and Edward Lin. 2022. Mask the Correct Tokens: An Embarrassingly Simple Approach for Error Correction. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10367–10380, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
finegrained_temporal_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_kbtotext_generation_with_auxiliary_triple_extraction_using_dual_learning,December,2020.0,AACL,https://aclanthology.org/2020.aacl-main.29,fu-etal-2020-unsupervised,"Zihao Fu, Bei Shi, Lidong Bing, and Wai Lam. 2020. Unsupervised KB-to-Text Generation with Auxiliary Triple Extraction using Dual Learning. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, pages 258–268, Suzhou, China. Association for Computational Linguistics."
neural_datatotext_generation_with_lmbased_text_augmentation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improved_unsupervised_chinese_word_segmentation_using_pretrained_knowledge_and_pseudolabeling_transfer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_from_perturbations_diverse_and_informative_dialogue_generation_with_inverse_adversarial_training,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
regressionfree_model_updates_for_spoken_language_understanding,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.52,caciolai-etal-2023-regression,"Andrea Caciolai, Verena Weber, Tobias Falke, Alessandro Pedrani, and Davide Bernardi. 2023. Regression-Free Model Updates for Spoken Language Understanding. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 538–551, Toronto, Canada. Association for Computational Linguistics."
learning_efficient_parsing,March,2009.0,EACL,https://aclanthology.org/E09-1093,van-noord-2009-learning,"Gertjan van Noord. 2009. Learning Efficient Parsing. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 817–825, Athens, Greece. Association for Computational Linguistics."
transformerbased_direct_hidden_markov_model_for_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
vocabulary_learning_via_optimal_transport_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_efficient_conversational_smart_compose_system,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
benchmarking_a_transformerfree_model_for_adhoc_retrieval,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.293,almeida-matos-2021-benchmarking,"Tiago Almeida and Sérgio Matos. 2021. Benchmarking a transformer-FREE model for ad-hoc retrieval. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3343–3353, Online. Association for Computational Linguistics."
crosslingual_abstractive_summarization_with_limited_parallel_resources,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
does_typological_blinding_impede_crosslingual_sharing,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.38,bjerva-augenstein-2021-typological,"Johannes Bjerva and Isabelle Augenstein. 2021. Does Typological Blinding Impede Cross-Lingual Sharing?. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 480–486, Online. Association for Computational Linguistics."
on_the_relationship_between_zipfs_law_of_abbreviation_and_interfering_noise_in_emergent_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
redace_robust_error_detection_for_asr_using_confidence_embeddings,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.180,gekhman-etal-2022-red,"Zorik Gekhman, Dina Zverinski, Jonathan Mallinson, and Genady Beryozkin. 2022. RED-ACE: Robust Error Detection for ASR using Confidence Embeddings. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 2800–2808, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
an_effective_transitionbased_model_for_discontinuous_ner,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_encoderdecoder_incompatibility_in_variational_text_modeling_and_beyond,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
assessing_emoji_use_in_modern_text_processing_tools,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_probabilistic_latent_semantic_analysis_with_principal_component_analysis,April,2006.0,EACL,https://aclanthology.org/E06-1014,farahat-chen-2006-improving,"Ayman Farahat and Francine Chen. 2006. Improving Probabilistic Latent Semantic Analysis with Principal Component Analysis. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 105–112, Trento, Italy. Association for Computational Linguistics."
prefixtuning_optimizing_continuous_prompts_for_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
churn_intent_detection_in_multilingual_chatbot_conversations_and_social_media,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
influence_paths_for_characterizing_subjectverb_number_agreement_in_lstm_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
do_you_have_the_right_scissors_tailoring_pretrained_language_models_via_montecarlo_methods,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_validity_of_evaluation_results_assessing_concurrence_across_compositionality_benchmarks,December,2023.0,CoNLL,https://aclanthology.org/2023.conll-1.19,sun-etal-2023-validity,"Kaiser Sun, Adina Williams, and Dieuwke Hupkes. 2023. The Validity of Evaluation Results: Assessing Concurrence Across Compositionality Benchmarks. In Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL), pages 274–293, Singapore. Association for Computational Linguistics."
using_intermediate_representations_to_solve_math_word_problems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
too_much_of_product_information__dont_worry_lets_look_for_evidence,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.68,jain-etal-2023-much,"Aryan Jain, Jitenkumar Rana, and Chetan Aggarwal. 2023. Too much of product information : Don’t worry, let’s look for evidence!. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 732–738, Singapore. Association for Computational Linguistics."
nmt5__is_parallel_data_still_relevant_for_pretraining_massively_multilingual_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
herald_an_annotation_efficient_method_to_detect_user_disengagement_in_social_conversations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multisource_multitype_knowledge_exploration_and_exploitation_for_dialogue_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
grounding_as_a_collaborative_process,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.41,benotti-blackburn-2021-grounding,"Luciana Benotti and Patrick Blackburn. 2021. Grounding as a Collaborative Process. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 515–531, Online. Association for Computational Linguistics."
taskdiff_a_similarity_metric_for_taskoriented_conversations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cold_a_benchmark_for_chinese_offensive_language_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
summn_a_multistage_summarization_framework_for_long_input_dialogues_and_documents,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
delexicalized_transfer_parsing_for_lowresource_languages_using_transformed_and_combined_treebanks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
not_that_much_power_linguistic_alignment_is_influenced_more_by_lowlevel_linguistic_features_rather_than_social_power,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tokenlevel_dynamic_selfattention_network_for_multipassage_reading_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_secondorder_joint_eisner_model_for_syntactic_and_semantic_dependency_parsing,June,2009.0,CoNLL,https://aclanthology.org/W09-1212,lluis-etal-2009-second,"Xavier Lluís, Stefan Bott, and Lluís Màrquez. 2009. A Second-Order Joint Eisner Model for Syntactic and Semantic Dependency Parsing. In Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL 2009): Shared Task, pages 79–84, Boulder, Colorado. Association for Computational Linguistics."
the_tradeoffs_of_domain_adaptation_for_neural_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hearing_lips_in_noise_universal_visemephoneme_mapping_and_transfer_for_robust_audiovisual_speech_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_open_distributed_architecture_for_reuse_and_integration_of_heterogeneous_nlp_components,March,1997.0,ANLP,https://aclanthology.org/A97-1036,zajac-etal-1997-open,"Remi Zajac, Mark Casper, and Nigel Sharples. 1997. An Open Distributed Architecture for Reuse and Integration of Heterogeneous NLP Components. In Fifth Conference on Applied Natural Language Processing, pages 245–252, Washington, DC, USA. Association for Computational Linguistics."
careful_selection_of_knowledge_to_solve_open_book_question_answering,July,2019.0,ACL,https://aclanthology.org/P19-1615,banerjee-etal-2019-careful,"Pratyay Banerjee, Kuntal Kumar Pal, Arindam Mitra, and Chitta Baral. 2019. Careful Selection of Knowledge to Solve Open Book Question Answering. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 6120–6129, Florence, Italy. Association for Computational Linguistics."
refer360_a_referring_expression_recognition_dataset_in_360_images,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
metakd_a_meta_knowledge_distillation_framework_for_language_model_compression_across_domains,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
famesumm_investigating_and_improving_faithfulness_of_medical_summarization,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.673,zhang-etal-2023-famesumm,"Nan Zhang, Yusen Zhang, Wu Guo, Prasenjit Mitra, and Rui Zhang. 2023. FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 10915–10931, Singapore. Association for Computational Linguistics."
towards_conversational_recommendation_over_multitype_dialogs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
interpretable_question_answering_on_knowledge_bases_and_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
handling_outofvocabulary_problem_in_hangeul_word_embeddings,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.280,kwon-etal-2021-handling,"Ohjoon Kwon, Dohyun Kim, Soo-Ryeon Lee, Junyoung Choi, and SangKeun Lee. 2021. Handling Out-Of-Vocabulary Problem in Hangeul Word Embeddings. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3213–3221, Online. Association for Computational Linguistics."
detecting_negation_scope_is_easy_except_when_it_isnt,April,2017.0,EACL,https://aclanthology.org/E17-2010,fancellu-etal-2017-detecting,"Federico Fancellu, Adam Lopez, Bonnie Webber, and Hangfeng He. 2017. Detecting negation scope is easy, except when it isn’t. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 58–63, Valencia, Spain. Association for Computational Linguistics."
dependency_parsing_as_head_selection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
muted_multilingual_targeted_offensive_speech_identification_and_visualization,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-demo.19,tillmann-etal-2023-muted,"Christoph Tillmann, Aashka Trivedi, Sara Rosenthal, Santosh Borse, Rong Zhang, Avirup Sil, and Bishwaranjan Bhattacharjee. 2023. Muted: Multilingual Targeted Offensive Speech Identification and Visualization. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 229–236, Singapore. Association for Computational Linguistics."
more_than_text_multimodal_chinese_word_segmentation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
differentially_private_language_models_for_secure_data_sharing,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.323,mattern-etal-2022-differentially,"Justus Mattern, Zhijing Jin, Benjamin Weggenmann, Bernhard Schoelkopf, and Mrinmaya Sachan. 2022. Differentially Private Language Models for Secure Data Sharing. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4860–4873, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
crosslingual_syntactic_variation_over_age_and_gender,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
optimizing_text_representations_to_capture_dissimilarity_between_political_parties,December,2022.0,CoNLL,https://aclanthology.org/2022.conll-1.22,ceron-etal-2022-optimizing,"Tanise Ceron, Nico Blokker, and Sebastian Padó. 2022. Optimizing text representations to capture (dis)similarity between political parties. In Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL), pages 325–338, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics."
gps_genetic_prompt_search_for_efficient_fewshot_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
humanintheloop_schema_induction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_learning_interpreted_languages_with_recurrent_models,June,2022.0,CL,https://aclanthology.org/2022.cl-2.7,paperno-2022-learning,"Denis Paperno. 2022. On Learning Interpreted Languages with Recurrent Models. Computational Linguistics, 48(2):471–482."
bass_boosting_abstractive_summarization_with_unified_semantic_graph,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
psst_prosodic_speech_segmentation_with_transformers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_empirical_study_of_span_representations_in_argumentation_structure_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
why_find_the_right_one,April,2021.0,EACL,https://aclanthology.org/2021.eacl-srw.26,khullar-2021-find,"Payal Khullar. 2021. Why Find the Right One?. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 203–208, Online. Association for Computational Linguistics."
companyoriented_extractive_summarization_of_financial_news,March,2009.0,EACL,https://aclanthology.org/E09-1029,filippova-etal-2009-company,"Katja Filippova, Mihai Surdeanu, Massimiliano Ciaramita, and Hugo Zaragoza. 2009. Company-Oriented Extractive Summarization of Financial News. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 246–254, Athens, Greece. Association for Computational Linguistics."
exploring_universal_sentence_encoders_for_zeroshot_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
predefined_sparseness_in_recurrent_sequence_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
are_pretrained_language_models_symbolic_reasoners_over_knowledge,November,2020.0,CoNLL,https://aclanthology.org/2020.conll-1.45,kassner-etal-2020-pretrained,"Nora Kassner, Benno Krojer, and Hinrich Schütze. 2020. Are Pretrained Language Models Symbolic Reasoners over Knowledge?. In Proceedings of the 24th Conference on Computational Natural Language Learning, pages 552–564, Online. Association for Computational Linguistics."
neural_graph_matching_networks_for_chinese_short_text_matching,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tgea_an_errorannotated_dataset_and_benchmark_tasks_for_textgeneration_from_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_machine_translation_with_phrase_pair_injection_and_corpus_filtering,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.361,batheja-bhattacharyya-2022-improving,"Akshay Batheja and Pushpak Bhattacharyya. 2022. Improving Machine Translation with Phrase Pair Injection and Corpus Filtering. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5395–5400, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
how_do_humans_perceive_adversarial_text_a_reality_check_on_the_validity_and_naturalness_of_wordbased_adversarial_attacks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
just_title_it_by_an_online_application,April,2012.0,EACL,https://aclanthology.org/E12-2007,lopez-etal-2012-just,"Cédric Lopez, Violaine Prince, and Mathieu Roche. 2012. Just Title It! (by an Online Application). In Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 31–34, Avignon, France. Association for Computational Linguistics."
can_you_follow_me_testing_situational_understanding_for_chatgpt,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ddprompt_differential_diversity_prompting_in_large_language_models,August,2024.0,ACL,https://aclanthology.org/2024.acl-short.17,mu-etal-2024-ddprompt,"Lin Mu, Wenhao Zhang, Yiwen Zhang, and Peiquan Jin. 2024. DDPrompt: Differential Diversity Prompting in Large Language Models. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 168–174, Bangkok, Thailand. Association for Computational Linguistics."
the_aligned_multimodal_movie_treebank_an_audio_video_dependencyparse_treebank,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.648,yaari-etal-2022-aligned,"Adam Yaari, Jan DeWitt, Henry Hu, Bennett Stankovits, Sue Felshin, Yevgeni Berzak, Helena Aparicio, Boris Katz, Ignacio Cases, and Andrei Barbu. 2022. The Aligned Multimodal Movie Treebank: An audio, video, dependency-parse treebank. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9531–9539, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
guiding_variational_response_generator_to_exploit_persona,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sentalign_accurate_and_scalable_sentence_alignment,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-demo.22,steingrimsson-etal-2023-sentalign,"Steinthor Steingrimsson, Hrafn Loftsson, and Andy Way. 2023. SentAlign: Accurate and Scalable Sentence Alignment. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 256–263, Singapore. Association for Computational Linguistics."
analyzing_film_adaptation_through_narrative_alignment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
probing_into_the_root_a_dataset_for_reason_extraction_of_structural_events_from_financial_documents,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.175,chen-etal-2021-probing,"Pei Chen, Kang Liu, Yubo Chen, Taifeng Wang, and Jun Zhao. 2021. Probing into the Root: A Dataset for Reason Extraction of Structural Events from Financial Documents. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2042–2048, Online. Association for Computational Linguistics."
biofeg_generate_latent_features_for_biomedical_entity_linking,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.710,sui-etal-2023-biofeg,"Xuhui Sui, Ying Zhang, Xiangrui Cai, Kehui Song, Baohang Zhou, Xiaojie Yuan, and Wensheng Zhang. 2023. BioFEG: Generate Latent Features for Biomedical Entity Linking. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11584–11593, Singapore. Association for Computational Linguistics."
an_svmbased_voting_algorithm_with_application_to_parse_reranking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_graphtosequence_model_for_amrtotext_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
contrastive_learning_with_adversarial_examples_for_alleviating_pathology_of_language_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_discriminative_projections_for_text_similarity_measures,June,2011.0,CoNLL,https://aclanthology.org/W11-0329,yih-etal-2011-learning,"Wen-tau Yih, Kristina Toutanova, John C. Platt, and Christopher Meek. 2011. Learning Discriminative Projections for Text Similarity Measures. In Proceedings of the Fifteenth Conference on Computational Natural Language Learning, pages 247–256, Portland, Oregon, USA. Association for Computational Linguistics."
openrt_an_opensource_framework_for_reasoning_over_tabular_data,July,2023.0,ACL,https://aclanthology.org/2023.acl-demo.32,zhao-etal-2023-openrt,"Yilun Zhao, Boyu Mi, Zhenting Qi, Linyong Nan, Minghao Guo, Arman Cohan, and Dragomir Radev. 2023. OpenRT: An Open-source Framework for Reasoning Over Tabular Data. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 336–347, Toronto, Canada. Association for Computational Linguistics."
a_hierarchical_vae_for_calibrating_attributes_while_generating_text_using_normalizing_flow,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
interpretable_word_sense_representations_via_definition_generation_the_case_of_semantic_change_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
decomposable_neural_paraphrase_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
effective_contrastive_weighting_for_dense_query_expansion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_flexible_multitask_model_for_bert_serving,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
control_image_captioning_spatially_and_temporally,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
robustness_testing_of_language_understanding_in_taskoriented_dialog,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
counterfactual_debiasing_for_fact_verification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sample_translate_recombine_leveraging_audio_alignments_for_data_augmentation_in_endtoend_speech_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tokenlevel_and_sequencelevel_loss_smoothing_for_rnn_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_stable_natural_language_understanding_via_information_entropy_guided_debiasing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_joint_model_for_document_segmentation_and_segment_labeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ax_semantics_submission_to_the_sigmorphon_2019_shared_task,August,2019.0,ACL,https://aclanthology.org/W19-4201,madsack-weissgraeber-2019-ax,"Andreas Madsack and Robert Weißgraeber. 2019. AX Semantics’ Submission to the SIGMORPHON 2019 Shared Task. In Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 1–5, Florence, Italy. Association for Computational Linguistics."
empiricallymotivated_generalizations_of_ccg_semantic_parsing_learning_algorithms,April,2014.0,EACL,https://aclanthology.org/E14-1037,glass-yates-2014-empirically,"Jesse Glass and Alexander Yates. 2014. Empirically-motivated Generalizations of CCG Semantic Parsing Learning Algorithms. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 348–357, Gothenburg, Sweden. Association for Computational Linguistics."
cpbcs_binary_code_summarization_guided_by_control_flow_graph_and_pseudo_code,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
chef_in_the_language_kitchen_a_generative_data_augmentation_leveraging_korean_morpheme_ingredients,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_ask_questions_in_opendomain_conversational_systems_with_typed_decoders,July,2018.0,ACL,https://aclanthology.org/P18-1204,wang-etal-2018-learning-ask,"Yansen Wang, Chenyi Liu, Minlie Huang, and Liqiang Nie. 2018. Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2193–2203, Melbourne, Australia. Association for Computational Linguistics."
neural_machine_translation_for_mathematical_formulae,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lstmembed_learning_word_and_sense_representations_from_a_large_semantically_annotated_corpus_with_long_shortterm_memories,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dynatask_a_framework_for_creating_dynamic_ai_benchmark_tasks,May,2022.0,ACL,https://aclanthology.org/2022.acl-demo.17,thrush-etal-2022-dynatask,"Tristan Thrush, Kushal Tirumala, Anmol Gupta, Max Bartolo, Pedro Rodriguez, Tariq Kane, William Gaviria Rojas, Peter Mattson, Adina Williams, and Douwe Kiela. 2022. Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 174–181, Dublin, Ireland. Association for Computational Linguistics."
how_to_adapt_your_pretrained_multilingual_model_to_1600_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
knowledgeable_or_educated_guess_revisiting_language_models_as_knowledge_bases,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fire_burns_sword_cuts_commonsense_inductive_bias_for_exploration_in_textbased_games,December,2023.0,BanglaLP,https://aclanthology.org/2023.banglalp-1.21,ahmed-etal-2023-score,"Kawsar Ahmed, Md Osama, Md. Sirajul Islam, Md Taosiful Islam, Avishek Das, and Mohammed Moshiul Hoque. 2023. Score_IsAll_You_Need at BLP-2023 Task 1: A Hierarchical Classification Approach to Detect Violence Inciting Text using Transformers. In Proceedings of the First Workshop on Bangla Language Processing (BLP-2023), pages 185–189, Singapore. Association for Computational Linguistics."
controlling_learned_effects_to_reduce_spurious_correlations_in_text_classifiers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
autodive_an_integrated_onsite_scientific_literature_annotation_tool,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
zlavi_zeroshot_language_solver_fueled_by_visual_imagination,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.78,yang-etal-2022-z,"Yue Yang, Wenlin Yao, Hongming Zhang, Xiaoyang Wang, Dong Yu, and Jianshu Chen. 2022. Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1186–1203, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
tackling_ambiguity_with_images_improved_multimodal_machine_translation_and_contrastive_evaluation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
scientific_discourse_tagging_for_evidence_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_nondnn_feature_engineering_approach_to_dependency_parsing__fbaml_at_conll_2017_shared_task,August,2017.0,CoNLL,https://aclanthology.org/K17-3015,qian-liu-2017-non,"Xian Qian and Yang Liu. 2017. A non-DNN Feature Engineering Approach to Dependency Parsing – FBAML at CoNLL 2017 Shared Task. In Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 143–151, Vancouver, Canada. Association for Computational Linguistics."
distancebased_propagation_for_efficient_knowledge_graph_reasoning,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.908,shomer-etal-2023-distance,"Harry Shomer, Yao Ma, Juanhui Li, Bo Wu, Charu Aggarwal, and Jiliang Tang. 2023. Distance-Based Propagation for Efficient Knowledge Graph Reasoning. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 14692–14707, Singapore. Association for Computational Linguistics."
adaptive_endtoend_metric_learning_for_zeroshot_crossdomain_slot_filling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
addressing_issues_of_crosslinguality_in_openretrieval_question_answering_systems_for_emergent_domains,May,2023.0,EACL,https://aclanthology.org/2023.eacl-demo.1,albalak-etal-2023-addressing,"Alon Albalak, Sharon Levy, and William Yang Wang. 2023. Addressing Issues of Cross-Linguality in Open-Retrieval Question Answering Systems For Emergent Domains. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 1–10, Dubrovnik, Croatia. Association for Computational Linguistics."
named_entity_recognition_using_a_characterbased_probabilistic_approach,,2003.0,CoNLL,https://aclanthology.org/W03-0432,whitelaw-patrick-2003-named,"Casey Whitelaw and Jon Patrick. 2003. Named Entity Recognition Using a Character-based Probabilistic Approach. In Proceedings of the Seventh Conference on Natural Language Learning at HLT-NAACL 2003, pages 196–199."
sumpubmed_summarization_dataset_of_pubmed_scientific_articles,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_discourse_structures_for_argument_impact_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
leveraging_past_references_for_robust_language_grounding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
zeroshot_event_extraction_via_transfer_learning_challenges_and_insights,August,2021.0,,https://aclanthology.org/2021.acl-short.42,lyu-etal-2021-zero,"Qing Lyu, Hongming Zhang, Elior Sulem, and Dan Roth. 2021. Zero-shot Event Extraction via Transfer Learning: Challenges and Insights. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 322–332, Online. Association for Computational Linguistics."
efficient_hybrid_generation_framework_for_aspectbased_sentiment_analysis,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.71,lv-etal-2023-efficient,"Haoran Lv, Junyi Liu, Henan Wang, Yaoming Wang, Jixiang Luo, and Yaxiao Liu. 2023. Efficient Hybrid Generation Framework for Aspect-Based Sentiment Analysis. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1007–1018, Dubrovnik, Croatia. Association for Computational Linguistics."
null_it_out_guarding_protected_attributes_by_iterative_nullspace_projection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dtsolver_automated_theorem_proving_with_dynamictree_sampling_guided_by_prooflevel_value_function,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
temporal_knowledge_graph_forecasting_without_knowledge_using_incontext_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
phonetic_and_visual_priors_for_decipherment_of_informal_romanization,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.737,ryskina-etal-2020-phonetic,"Maria Ryskina, Matthew R. Gormley, and Taylor Berg-Kirkpatrick. 2020. Phonetic and Visual Priors for Decipherment of Informal Romanization. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8308–8319, Online. Association for Computational Linguistics."
taming_pretrained_language_models_with_ngram_representations_for_lowresource_domain_adaptation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
caspi_causalaware_safe_policy_improvement_for_taskoriented_dialogue,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
similarity_analysis_of_contextual_word_representation_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
octis_comparing_and_optimizing_topic_models_is_simple,April,2021.0,EACL,https://aclanthology.org/2021.eacl-demos.31,terragni-etal-2021-octis,"Silvia Terragni, Elisabetta Fersini, Bruno Giovanni Galuzzi, Pietro Tropeano, and Antonio Candelieri. 2021. OCTIS: Comparing and Optimizing Topic models is Simple!. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 263–270, Online. Association for Computational Linguistics."
plato_pretrained_dialogue_generation_model_with_discrete_latent_variable,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
probing_structured_pruning_on_multilingual_pretrained_models_settings_algorithms_and_efficiency,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tracing_the_roots_of_facts_in_multilingual_language_models_independent_shared_and_transferred_knowledge,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.127,zhao-etal-2024-tracing,"Xin Zhao, Naoki Yoshinaga, and Daisuke Oba. 2024. Tracing the Roots of Facts in Multilingual Language Models: Independent, Shared, and Transferred Knowledge. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2088–2102, St. Julian’s, Malta. Association for Computational Linguistics."
multidirectional_associative_optimization_of_functionspecific_word_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
probing_for_predicate_argument_structures_in_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pumer_pruning_and_merging_tokens_for_efficient_vision_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
syntactic_search_by_example,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lexical_simplification_with_neural_ranking,April,2017.0,EACL,https://aclanthology.org/E17-2006,paetzold-specia-2017-lexical,"Gustavo Paetzold and Lucia Specia. 2017. Lexical Simplification with Neural Ranking. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 34–40, Valencia, Spain. Association for Computational Linguistics."
a_multitask_architecture_on_relevancebased_neural_query_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
language_independent_authorship_attribution_with_character_level_ngrams,April,2003.0,EACL,https://aclanthology.org/E03-1053,peng-etal-2003-language,"Fuchun Peng, Dale Schuurmans, Vlado Keselj, and Shaojun Wang. 2003. Language Independent Authorship Attribution with Character Level N-Grams. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
calibration_meets_explanation_a_simple_and_effective_approach_for_model_confidence_estimates,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multitask_knowledge_distillation_with_embedding_constraints_for_scholarly_keyphrase_boundary_classification,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.805,park-caragea-2023-multi,"Seo Park and Cornelia Caragea. 2023. Multi-Task Knowledge Distillation with Embedding Constraints for Scholarly Keyphrase Boundary Classification. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13026–13042, Singapore. Association for Computational Linguistics."
conll_2016_shared_task_on_multilingual_shallow_discourse_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_document_descriptor_using_covariance_of_word_vectors,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
seqxgpt_sentencelevel_aigenerated_text_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adapt_in_contexts_retrievalaugmented_domain_adaptation_via_incontext_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
revisiting_sparse_retrieval_for_fewshot_entity_linking,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.789,chen-etal-2023-revisiting-sparse,"Yulin Chen, Zhenran Xu, Baotian Hu, and Min Zhang. 2023. Revisiting Sparse Retrieval for Few-shot Entity Linking. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12801–12806, Singapore. Association for Computational Linguistics."
show_me_more_details_discovering_hierarchies_of_procedures_from_semistructured_web_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
efficient_parsing_with_linear_contextfree_rewriting_systems,April,2012.0,EACL,https://aclanthology.org/E12-1047,van-cranenburgh-2012-efficient,"Andreas van Cranenburgh. 2012. Efficient parsing with Linear Context-Free Rewriting Systems. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 460–470, Avignon, France. Association for Computational Linguistics."
counterfactual_multihop_qa_a_causeeffect_approach_for_reducing_disconnected_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
stanfords_multipass_sieve_coreference_resolution_system_at_the_conll2011_shared_task,June,2011.0,CoNLL,https://aclanthology.org/W11-1902,lee-etal-2011-stanfords,"Heeyoung Lee, Yves Peirsman, Angel Chang, Nathanael Chambers, Mihai Surdeanu, and Dan Jurafsky. 2011. Stanford’s Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task. In Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task, pages 28–34, Portland, Oregon, USA. Association for Computational Linguistics."
screenplay_summarization_using_latent_narrative_structure,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_training_instance_selection_for_fewshot_neural_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_alignmentbased_approach_to_text_segmentation_similarity_scoring,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
say_what_you_mean_large_language_models_speak_too_positively_about_negative_commonsense_knowledge,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
global_attention_for_name_tagging,October,2018.0,CoNLL,https://aclanthology.org/K18-1009,zhang-etal-2018-global,"Boliang Zhang, Spencer Whitehead, Lifu Huang, and Heng Ji. 2018. Global Attention for Name Tagging. In Proceedings of the 22nd Conference on Computational Natural Language Learning, pages 86–96, Brussels, Belgium. Association for Computational Linguistics."
a_study_of_automatic_metrics_for_the_evaluation_of_natural_language_explanations,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.202,clinciu-etal-2021-study,"Miruna-Adriana Clinciu, Arash Eshghi, and Helen Hastie. 2021. A Study of Automatic Metrics for the Evaluation of Natural Language Explanations. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2376–2387, Online. Association for Computational Linguistics."
detecting_novel_compounds_the_role_of_distributional_evidence,April,2003.0,EACL,https://aclanthology.org/E03-1073,lapata-lascarides-2003-detecting,"Mirella Lapata and Alex Lascarides. 2003. Detecting Novel Compounds: The Role of Distributional Evidence. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
using_the_mutual_knearest_neighbor_graphs_for_semisupervised_classification_on_natural_language_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
who_needs_decoders_efficient_estimation_of_sequencelevel_attributes_with_proxies,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.89,fathullah-etal-2024-needs,"Yassir Fathullah, Puria Radmard, Adian Liusie, and Mark Gales. 2024. Who Needs Decoders? Efficient Estimation of Sequence-Level Attributes with Proxies. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1478–1496, St. Julian’s, Malta. Association for Computational Linguistics."
xsim_an_improved_proxy_to_bitext_mining_performance_for_lowresource_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
penalty_decoding_well_suppress_the_selfreinforcement_effect_in_openended_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multihop_graph_convolutional_network_with_highorder_chebyshev_approximation_for_text_reasoning,August,2021.0,,https://aclanthology.org/2021.acl-long.513,jiang-etal-2021-multi,"Shuoran Jiang, Qingcai Chen, Xin Liu, Baotian Hu, and Lisai Zhang. 2021. Multi-hop Graph Convolutional Network with High-order Chebyshev Approximation for Text Reasoning. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 6563–6573, Online. Association for Computational Linguistics."
harnessing_sequence_labeling_for_sarcasm_detection_in_dialogue_from_tv_series_friends,August,2016.0,CoNLL,https://aclanthology.org/K16-1015,joshi-etal-2016-harnessing,"Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, and Mark J. Carman. 2016. Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series ‘Friends’. In Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, pages 146–155, Berlin, Germany. Association for Computational Linguistics."
crosslingual_dependency_parsing_with_unlabeled_auxiliary_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_with_structured_representations_for_negation_scope_extraction,July,2018.0,ACL,https://aclanthology.org/P18-2085,li-lu-2018-learning,"Hao Li and Wei Lu. 2018. Learning with Structured Representations for Negation Scope Extraction. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 533–539, Melbourne, Australia. Association for Computational Linguistics."
tree_representations_in_probabilistic_models_for_extended_named_entities_detection,April,2012.0,EACL,https://aclanthology.org/E12-1018,dinarelli-rosset-2012-tree,"Marco Dinarelli and Sophie Rosset. 2012. Tree Representations in Probabilistic Models for Extended Named Entities Detection. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 174–184, Avignon, France. Association for Computational Linguistics."
unsupervised_pretraining_for_neural_machine_translation_using_elastic_weight_consolidation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
transahead_a_writing_assistant_for_cat_and_call,April,2012.0,EACL,https://aclanthology.org/E12-2004,huang-etal-2012-transahead,"Chung-chi Huang, Ping-che Yang, Mei-hua Chen, Hung-ting Hsieh, Ting-hui Kao, and Jason S. Chang. 2012. TransAhead: A Writing Assistant for CAT and CALL. In Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 16–19, Avignon, France. Association for Computational Linguistics."
cea_list_processing_lowresource_languages_for_conll_2018,October,2018.0,CoNLL,https://aclanthology.org/K18-2003,duthoo-mesnard-2018-cea,"Elie Duthoo and Olivier Mesnard. 2018. CEA LIST: Processing Low-Resource Languages for CoNLL 2018. In Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 34–44, Brussels, Belgium. Association for Computational Linguistics."
a_relentless_benchmark_for_modelling_graded_relations_between_named_entities,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.152,ushio-etal-2024-relentless,"Asahi Ushio, Jose Camacho-Collados, and Steven Schockaert. 2024. A RelEntLess Benchmark for Modelling Graded Relations between Named Entities. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2473–2486, St. Julian’s, Malta. Association for Computational Linguistics."
tiara_multigrained_retrieval_for_robust_question_answering_over_large_knowledge_base,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.555,shu-etal-2022-tiara,"Yiheng Shu, Zhiwei Yu, Yuhan Li, Börje Karlsson, Tingting Ma, Yuzhong Qu, and Chin-Yew Lin. 2022. TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Base. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8108–8121, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
structural_and_topical_dimensions_in_multitask_patent_translation,April,2012.0,EACL,https://aclanthology.org/E12-1083,waeschle-riezler-2012-structural,"Katharina Waeschle and Stefan Riezler. 2012. Structural and Topical Dimensions in Multi-Task Patent Translation. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 818–828, Avignon, France. Association for Computational Linguistics."
embedding_time_differences_in_contextsensitive_neural_networks_for_learning_time_to_event,August,2021.0,,https://aclanthology.org/2021.acl-short.80,dehghani-etal-2021-embedding,"Nazanin Dehghani, Hassan Hajipoor, and Hadi Amiri. 2021. Embedding Time Differences in Context-sensitive Neural Networks for Learning Time to Event. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 630–636, Online. Association for Computational Linguistics."
an_improved_baseline_for_sentencelevel_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
target_conditioned_sampling_optimizing_data_selection_for_multilingual_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
alephbert_language_model_pretraining_and_evaluation_from_subword_to_sentence_level,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
recalloriented_learning_of_named_entities_in_arabic_wikipedia,April,2012.0,EACL,https://aclanthology.org/E12-1017,mohit-etal-2012-recall,"Behrang Mohit, Nathan Schneider, Rishav Bhowmick, Kemal Oflazer, and Noah A. Smith. 2012. Recall-Oriented Learning of Named Entities in Arabic Wikipedia. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 162–173, Avignon, France. Association for Computational Linguistics."
ellipsis_resolution_as_question_answering_an_evaluation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.68,aralikatte-etal-2021-ellipsis,"Rahul Aralikatte, Matthew Lamm, Daniel Hardt, and Anders Søgaard. 2021. Ellipsis Resolution as Question Answering: An Evaluation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 810–817, Online. Association for Computational Linguistics."
elqa_a_corpus_of_metalinguistic_questions_and_answers_about_english,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ildc_for_cjpe_indian_legal_documents_corpus_for_court_judgment_prediction_and_explanation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
promptbased_metalearning_for_fewshot_text_classification,July,2023.0,ACL,https://aclanthology.org/2023.acl-srw.4,wang-etal-2023-prompt,"Yuqi Wang, Wei Wang, Qi Chen, Kaizhu Huang, Anh Nguyen, and Suparna De. 2023. Prompt-based Zero-shot Text Classification with Conceptual Knowledge. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), pages 30–38, Toronto, Canada. Association for Computational Linguistics."
dynamic_regularization_in_uda_for_transformers_in_multimodal_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
which_spurious_correlations_impact_reasoning_in_nli_models_a_visual_interactive_diagnosis_through_dataconstrained_counterfactuals,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
kernelwhitening_overcome_dataset_bias_with_isotropic_sentence_embedding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_interentityinteraction_for_fewshot_knowledge_graph_completion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ptb_graph_parsing_with_tree_approximation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
combining_labelled_and_unlabelled_data_a_case_study_on_fisher_kernels_and_transductive_inference_for_biological_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_study_on_the_efficiency_and_generalization_of_light_hybrid_retrievers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
addressing_domain_changes_in_taskoriented_conversational_agents_through_dialogue_adaptation,May,2023.0,EACL,https://aclanthology.org/2023.eacl-srw.16,labruna-magnini-2023-addressing,"Tiziano Labruna and Bernardo Magnini. 2023. Addressing Domain Changes in Task-oriented Conversational Agents through Dialogue Adaptation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 149–158, Dubrovnik, Croatia. Association for Computational Linguistics."
boundarydriven_tablefilling_for_aspect_sentiment_triplet_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
morphological_analysis_without_expert_annotation,April,2017.0,EACL,https://aclanthology.org/E17-2034,nicolai-kondrak-2017-morphological,"Garrett Nicolai and Grzegorz Kondrak. 2017. Morphological Analysis without Expert Annotation. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 211–216, Valencia, Spain. Association for Computational Linguistics."
amr_quality_rating_with_a_lightweight_cnn,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
analysis_of_hierarchical_multicontent_text_classification_model_on_bsharp_dataset_for_early_detection_of_alzheimers_disease,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
first_align_then_predict_understanding_the_crosslingual_ability_of_multilingual_bert,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.189,muller-etal-2021-first,"Benjamin Muller, Yanai Elazar, Benoît Sagot, and Djamé Seddah. 2021. First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2214–2231, Online. Association for Computational Linguistics."
improving_document_representations_by_generating_pseudo_query_embeddings_for_dense_retrieval,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_reinforced_generation_of_adversarial_examples_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
endtoend_taskoriented_dialogue_a_survey_of_tasks_methods_and_future_directions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tracing_semantic_variation_in_slang,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_large_language_models_are_not_yet_codeswitchers,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.774,zhang-etal-2023-multilingual,"Ruochen Zhang, Samuel Cahyawijaya, Jan Christian Blaise Cruz, Genta Winata, and Alham Fikri Aji. 2023. Multilingual Large Language Models Are Not (Yet) Code-Switchers. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12567–12582, Singapore. Association for Computational Linguistics."
give_me_more_feedback_annotating_argument_persuasiveness_and_related_attributes_in_student_essays,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
uncertainty_detection_as_approximate_maxmargin_sequence_labelling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
developmental_negation_processing_in_transformer_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_corpus_for_modeling_user_and_language_effects_in_argumentation_on_online_debating,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
endtoend_casebased_reasoning_for_commonsense_knowledge_base_completion,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.255,yang-etal-2023-end,"Zonglin Yang, Xinya Du, Erik Cambria, and Claire Cardie. 2023. End-to-end Case-Based Reasoning for Commonsense Knowledge Base Completion. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3509–3522, Dubrovnik, Croatia. Association for Computational Linguistics."
countergap_counterfactual_bias_evaluation_through_gendered_ambiguous_pronouns,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.272,xie-etal-2023-counter,"Zhongbin Xie, Vid Kocijan, Thomas Lukasiewicz, and Oana-Maria Camburu. 2023. Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3761–3773, Dubrovnik, Croatia. Association for Computational Linguistics."
on_the_effectiveness_of_adapterbased_tuning_for_pretrained_language_model_adaptation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_generalize_to_more_continuous_semantic_augmentation_for_neural_machine_translation,May,2022.0,ACL,https://aclanthology.org/2022.acl-long.546,wei-etal-2022-learning,"Xiangpeng Wei, Heng Yu, Yue Hu, Rongxiang Weng, Weihua Luo, and Rong Jin. 2022. Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 7930–7944, Dublin, Ireland. Association for Computational Linguistics."
are_emojis_predictable,April,2017.0,EACL,https://aclanthology.org/E17-2017,barbieri-etal-2017-emojis,"Francesco Barbieri, Miguel Ballesteros, and Horacio Saggion. 2017. Are Emojis Predictable?. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 105–111, Valencia, Spain. Association for Computational Linguistics."
structurizing_misinformation_stories_via_rationalizing_factchecks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
robust_training_under_linguistic_adversity,April,2017.0,EACL,https://aclanthology.org/E17-2004,li-etal-2017-robust,"Yitong Li, Trevor Cohn, and Timothy Baldwin. 2017. Robust Training under Linguistic Adversity. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 21–27, Valencia, Spain. Association for Computational Linguistics."
rl4f_generating_natural_language_feedback_with_reinforcement_learning_for_repairing_model_outputs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mining_the_web_for_reciprocal_relationships,June,2009.0,CoNLL,https://aclanthology.org/W09-1111,paul-etal-2009-mining,"Michael Paul, Roxana Girju, and Chen Li. 2009. Mining the Web for Reciprocal Relationships. In Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL-2009), pages 75–83, Boulder, Colorado. Association for Computational Linguistics."
featurerich_partofspeech_tagging_for_morphologically_complex_languages_application_to_bulgarian,December,2023.0,,https://aclanthology.org/2023.argmining-1.22,ding-etal-2023-catalpa,"Yuning Ding, Marie Bexte, and Andrea Horbach. 2023. CATALPA_EduNLP at PragTag-2023. In Proceedings of the 10th Workshop on Argument Mining, pages 197–201, Singapore. Association for Computational Linguistics."
mmalign_learning_optimal_transportbased_alignment_dynamics_for_fast_and_accurate_inference_on_missing_modality_sequences,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
heterogeneous_graph_neural_networks_for_extractive_document_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
minimizing_word_error_rate_in_textual_summaries_of_spoken_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
selftraining_reduces_flicker_in_retranslationbased_simultaneous_translation,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.270,sen-etal-2023-self,"Sukanta Sen, Rico Sennrich, Biao Zhang, and Barry Haddow. 2023. Self-training Reduces Flicker in Retranslation-based Simultaneous Translation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3734–3744, Dubrovnik, Croatia. Association for Computational Linguistics."
a_federated_approach_to_predicting_emojis_in_hindi_tweets,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.819,gandhi-etal-2022-federated,"Deep Gandhi, Jash Mehta, Nirali Parekh, Karan Waghela, Lynette D’Mello, and Zeerak Talat. 2022. A Federated Approach to Predicting Emojis in Hindi Tweets. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11951–11961, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
crossdocument_event_coreference_resolution_on_discourse_structure,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
using_sequence_kernels_to_identify_opinion_entities_in_urdu,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
casnclassaware_score_network_for_textual_adversarial_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_curious_case_of_hallucinatory_unanswerability_finding_truths_in_the_hidden_states_of_overconfident_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_a_standardized_dataset_on_indonesian_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_analysis_under_a_unified_formulation_of_learning_algorithms_with_output_constraints,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
how_well_does_surprisal_explain_n400_amplitude_under_different_experimental_conditions,November,2020.0,CoNLL,https://aclanthology.org/2020.conll-1.53,michaelov-bergen-2020-well,"James Michaelov and Benjamin Bergen. 2020. How well does surprisal explain N400 amplitude under different experimental conditions?. In Proceedings of the 24th Conference on Computational Natural Language Learning, pages 652–663, Online. Association for Computational Linguistics."
automatic_analysis_of_patient_history_episodes_in_bulgarian_hospital_discharge_letters,April,2012.0,EACL,https://aclanthology.org/E12-2016,boytcheva-etal-2012-automatic,"Svetla Boytcheva, Galia Angelova, and Ivelina Nikolova. 2012. Automatic Analysis of Patient History Episodes in Bulgarian Hospital Discharge Letters. In Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 77–81, Avignon, France. Association for Computational Linguistics."
squire_a_sequencetosequence_framework_for_multihop_knowledge_graph_reasoning,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.107,bai-etal-2022-squire,"Yushi Bai, Xin Lv, Juanzi Li, Lei Hou, Yincen Qu, Zelin Dai, and Feiyu Xiong. 2022. SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1649–1662, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
universal_decompositional_semantic_parsing,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.746,stengel-eskin-etal-2020-universal,"Elias Stengel-Eskin, Aaron Steven White, Sheng Zhang, and Benjamin Van Durme. 2020. Universal Decompositional Semantic Parsing. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8427–8439, Online. Association for Computational Linguistics."
simple_and_effective_input_reformulations_for_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
zeroshot_text_classification_with_selftraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_lengthextrapolatable_transformer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_transitivity_in_neural_nli_models_through_veridicality,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.78,yanaka-etal-2021-exploring,"Hitomi Yanaka, Koji Mineshima, and Kentaro Inui. 2021. Exploring Transitivity in Neural NLI Models through Veridicality. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 920–934, Online. Association for Computational Linguistics."
sentbs_sentencelevel_beam_search_for_controllable_summarization,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.699,shen-etal-2022-sentbs,"Chenhui Shen, Liying Cheng, Lidong Bing, Yang You, and Luo Si. 2022. SentBS: Sentence-level Beam Search for Controllable Summarization. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10256–10265, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
referring_image_segmentation_via_joint_mask_contextual_embedding_learning_and_progressive_alignment_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
what_is_overlap_knowledge_in_event_argument_extraction_ape_a_crossdatasets_transfer_learning_model_for_eae,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
special_techniques_for_constituent_parsing_of_morphologically_rich_languages,April,2014.0,EACL,https://aclanthology.org/E14-1015,szanto-farkas-2014-special,"Zsolt Szántó and Richárd Farkas. 2014. Special Techniques for Constituent Parsing of Morphologically Rich Languages. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 135–144, Gothenburg, Sweden. Association for Computational Linguistics."
geomlama_geodiverse_commonsense_probing_on_multilingual_pretrained_language_models,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.132,yin-etal-2022-geomlama,"Da Yin, Hritik Bansal, Masoud Monajatipoor, Liunian Harold Li, and Kai-Wei Chang. 2022. GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 2039–2055, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
global_voices_local_biases_sociocultural_prejudices_across_languages,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.981,mukherjee-etal-2023-global,"Anjishnu Mukherjee, Chahat Raj, Ziwei Zhu, and Antonios Anastasopoulos. 2023. Global Voices, Local Biases: Socio-Cultural Prejudices across Languages. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15828–15845, Singapore. Association for Computational Linguistics."
let_the_cat_out_of_the_bag_contrastive_attributed_explanations_for_text,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.484,chemmengath-etal-2022-cat,"Saneem Chemmengath, Amar Prakash Azad, Ronny Luss, and Amit Dhurandhar. 2022. Let the CAT out of the bag: Contrastive Attributed explanations for Text. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7190–7206, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
contextaware_graph_segmentation_for_graphbased_translation,April,2017.0,EACL,https://aclanthology.org/E17-2095,li-etal-2017-context,"Liangyou Li, Andy Way, and Qun Liu. 2017. Context-Aware Graph Segmentation for Graph-Based Translation. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 599–604, Valencia, Spain. Association for Computational Linguistics."
moraldial_a_framework_to_train_and_evaluate_moral_dialogue_systems_via_moral_discussions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modeling_syntacticsemantic_dependency_correlations_in_semantic_role_labeling_using_mixture_models,May,2022.0,ACL,https://aclanthology.org/2022.acl-long.548,chen-etal-2022-modeling,"Junjie Chen, Xiangheng He, and Yusuke Miyao. 2022. Modeling Syntactic-Semantic Dependency Correlations in Semantic Role Labeling Using Mixture Models. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 7959–7969, Dublin, Ireland. Association for Computational Linguistics."
using_reinforcement_learning_to_build_a_better_model_of_dialogue_state,April,2006.0,EACL,https://aclanthology.org/E06-1037,tetreault-litman-2006-using,"Joel R. Tetreault and Diane J. Litman. 2006. Using Reinforcement Learning to Build a Better Model of Dialogue State. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 289–296, Trento, Italy. Association for Computational Linguistics."
integrating_semantics_and_neighborhood_information_with_graphdriven_generative_models_for_document_retrieval,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
parsing_syntactic_and_semantic_dependencies_for_multiple_languages_with_a_pipeline_approach,June,2009.0,CoNLL,https://aclanthology.org/W09-1215,ren-etal-2009-parsing,"Han Ren, Donghong Ji, Jing Wan, and Mingyao Zhang. 2009. Parsing Syntactic and Semantic Dependencies for Multiple Languages with A Pipeline Approach. In Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL 2009): Shared Task, pages 97–102, Boulder, Colorado. Association for Computational Linguistics."
multiturncleanup_a_benchmark_for_multiturn_spoken_conversational_transcript_cleanup,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
caponimage_contextdriven_densecaptioning_on_image,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.226,gao-etal-2022-caponimage,"Yiqi Gao, Xinglin Hou, Yuanmeng Zhang, Tiezheng Ge, Yuning Jiang, and Peng Wang. 2022. CapOnImage: Context-driven Dense-Captioning on Image. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3449–3465, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
errudite_scalable_reproducible_and_testable_error_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sharpnessaware_minimization_improves_language_model_generalization,May,2022.0,ACL,https://aclanthology.org/2022.acl-long.508,bahri-etal-2022-sharpness,"Dara Bahri, Hossein Mobahi, and Yi Tay. 2022. Sharpness-Aware Minimization Improves Language Model Generalization. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 7360–7371, Dublin, Ireland. Association for Computational Linguistics."
histred_a_historical_documentlevel_relation_extraction_dataset,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
key_fact_as_pivot_a_twostage_model_for_low_resource_tabletotext_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pervasive_attention_2d_convolutional_neural_networks_for_sequencetosequence_prediction,October,2018.0,CoNLL,https://aclanthology.org/K18-1010,elbayad-etal-2018-pervasive,"Maha Elbayad, Laurent Besacier, and Jakob Verbeek. 2018. Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction. In Proceedings of the 22nd Conference on Computational Natural Language Learning, pages 97–107, Brussels, Belgium. Association for Computational Linguistics."
tapas_weakly_supervised_table_parsing_via_pretraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_reverse_feature_engineering_of_syntactic_tree_kernels,July,2010.0,CoNLL,https://aclanthology.org/W10-2926,pighin-moschitti-2010-reverse,"Daniele Pighin and Alessandro Moschitti. 2010. On Reverse Feature Engineering of Syntactic Tree Kernels. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning, pages 223–233, Uppsala, Sweden. Association for Computational Linguistics."
improved_evaluation_framework_for_complex_plagiarism_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ranking_convolutional_recurrent_neural_networks_for_purchase_stage_identification_on_imbalanced_twitter_data,April,2017.0,EACL,https://aclanthology.org/E17-2094,adel-etal-2017-ranking,"Heike Adel, Francine Chen, and Yan-Ying Chen. 2017. Ranking Convolutional Recurrent Neural Networks for Purchase Stage Identification on Imbalanced Twitter Data. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 592–598, Valencia, Spain. Association for Computational Linguistics."
turkunlp_delexicalized_pretraining_of_word_embeddings_for_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
chiscor_a_corpus_of_freelytold_fantasy_stories_by_dutch_children_for_computational_linguistics_and_cognitive_science,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_evolution_of_syntactic_information_encoded_by_berts_contextualized_representations,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.191,perez-mayos-etal-2021-evolution,"Laura Pérez-Mayos, Roberto Carlini, Miguel Ballesteros, and Leo Wanner. 2021. On the evolution of syntactic information encoded by BERT’s contextualized representations. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2243–2258, Online. Association for Computational Linguistics."
sjtunict_at_mrp_2019_multitask_learning_for_endtoend_uniform_semantic_graph_parsing,July,2010.0,CoNLL,https://aclanthology.org/W10-29,UNKNOWN_BIBKEY,N/A
a_dqnbased_approach_to_finding_precise_evidences_for_fact_verification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dynamic_global_memory_for_documentlevel_argument_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_system_for_answering_simple_questions_in_multiple_languages,July,2023.0,ACL,https://aclanthology.org/2023.acl-demo.51,razzhigaev-etal-2023-system,"Anton Razzhigaev, Mikhail Salnikov, Valentin Malykh, Pavel Braslavski, and Alexander Panchenko. 2023. A System for Answering Simple Questions in Multiple Languages. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 524–537, Toronto, Canada. Association for Computational Linguistics."
learning_transferable_feature_representations_using_neural_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_finding_the_kbest_nonprojective_dependency_trees,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cqe_a_comprehensive_quantity_extractor,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.793,almasian-etal-2023-cqe,"Satya Almasian, Vivian Kazakova, Philipp Göldner, and Michael Gertz. 2023. CQE: A Comprehensive Quantity Extractor. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12845–12859, Singapore. Association for Computational Linguistics."
data_mining_mandarin_tone_contour_shapes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pointofinterest_oriented_question_answering_with_joint_inference_of_semantic_matching_and_distance_correlation,December,2020.0,AACL,https://aclanthology.org/2020.aacl-main.54,yuan-etal-2020-point,"Yifei Yuan, Jingbo Zhou, and Wai Lam. 2020. Point-of-Interest Oriented Question Answering with Joint Inference of Semantic Matching and Distance Correlation. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, pages 542–550, Suzhou, China. Association for Computational Linguistics."
finetuning_pretrained_language_models_with_gaze_supervision,August,2024.0,ACL,https://aclanthology.org/2024.acl-short.21,deng-etal-2024-fine,"Shuwen Deng, Paul Prasse, David Reich, Tobias Scheffer, and Lena Jäger. 2024. Fine-Tuning Pre-Trained Language Models with Gaze Supervision. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 217–224, Bangkok, Thailand. Association for Computational Linguistics."
capturing_event_argument_interaction_via_a_bidirectional_entitylevel_recurrent_decoder,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
complex_word_identification_as_a_sequence_labelling_task,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dialogue_actbased_breakdown_detection_in_negotiation_dialogues,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.63,yamaguchi-etal-2021-dialogue,"Atsuki Yamaguchi, Kosui Iwasa, and Katsuhide Fujita. 2021. Dialogue Act-based Breakdown Detection in Negotiation Dialogues. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 745–757, Online. Association for Computational Linguistics."
latentglat_glancing_at_latent_variables_for_parallel_text_generation,May,2022.0,ACL,https://aclanthology.org/2022.acl-long.575,bao-etal-2022-textit,"Yu Bao, Hao Zhou, Shujian Huang, Dongqi Wang, Lihua Qian, Xinyu Dai, Jiajun Chen, and Lei Li. 2022. latent-GLAT: Glancing at Latent Variables for Parallel Text Generation. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 8398–8409, Dublin, Ireland. Association for Computational Linguistics."
generate_discriminate_and_contrast_a_semisupervised_sentence_representation_learning_framework,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.558,chen-etal-2022-generate,"Yiming Chen, Yan Zhang, Bin Wang, Zuozhu Liu, and Haizhou Li. 2022. Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8150–8161, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
sample_selection_for_statistical_parsers_cognitively_driven_algorithms_and_evaluation_measures,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
selective_question_answering_under_domain_shift,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multigranularity_interaction_network_for_extractive_and_abstractive_multidocument_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enriched_inorder_linearization_for_faster_sequencetosequence_constituent_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
integrating_an_unsupervised_transliteration_model_into_statistical_machine_translation,April,2014.0,EACL,https://aclanthology.org/E14-4029,durrani-etal-2014-integrating,"Nadir Durrani, Hassan Sajjad, Hieu Hoang, and Philipp Koehn. 2014. Integrating an Unsupervised Transliteration Model into Statistical Machine Translation. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 148–153, Gothenburg, Sweden. Association for Computational Linguistics."
on_the_limitations_of_unsupervised_bilingual_dictionary_induction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
future_lens_anticipating_subsequent_tokens_from_a_single_hidden_state,December,2023.0,CoNLL,https://aclanthology.org/2023.conll-1.37,pal-etal-2023-future,"Koyena Pal, Jiuding Sun, Andrew Yuan, Byron Wallace, and David Bau. 2023. Future Lens: Anticipating Subsequent Tokens from a Single Hidden State. In Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL), pages 548–560, Singapore. Association for Computational Linguistics."
nash_toward_endtoend_neural_architecture_for_generative_semantic_hashing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_multifaceted_framework_to_evaluate_evasion_content_preservation_and_misattribution_in_authorship_obfuscation_techniques,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.153,altakrori-etal-2022-multifaceted,"Malik Altakrori, Thomas Scialom, Benjamin C. M. Fung, and Jackie Chi Kit Cheung. 2022. A Multifaceted Framework to Evaluate Evasion, Content Preservation, and Misattribution in Authorship Obfuscation Techniques. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 2391–2406, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
decoding_the_silent_majority_inducing_belief_augmented_social_graph_with_large_language_model_for_response_forecasting,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_new_algorithm_for_the_alignment_of_phonetic_sequences,,2000.0,ANLP,https://aclanthology.org/A00-2038,kondrak-2000-new,Grzegorz Kondrak. 2000. A New Algorithm for the Alignment of Phonetic Sequences. In 1st Meeting of the North American Chapter of the Association for Computational Linguistics.
constrained_grammatical_error_correction_using_statistical_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cognitive_dissonance_why_do_language_model_outputs_disagree_with_internal_representations_of_truthfulness,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_generate_question_by_asking_question_a_primaldual_approach_with_uncommon_word_generation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.4,wang-etal-2022-learning-generate,"Qifan Wang, Li Yang, Xiaojun Quan, Fuli Feng, Dongfang Liu, Zenglin Xu, Sinong Wang, and Hao Ma. 2022. Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 46–61, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
analyzing_the_persuasive_effect_of_style_in_news_editorial_argumentation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
characterization_of_stigmatizing_language_in_medical_records,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_comparative_multidimensional_analysis_of_empathetic_systems,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.11,lee-etal-2024-comparative,"Andrew Lee, Jonathan K. Kummerfeld, Larry Ann, and Rada Mihalcea. 2024. A Comparative Multidimensional Analysis of Empathetic Systems. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 179–189, St. Julian’s, Malta. Association for Computational Linguistics."
learning_dense_representations_for_entity_retrieval,November,2019.0,CoNLL,https://aclanthology.org/K19-1049,gillick-etal-2019-learning,"Daniel Gillick, Sayali Kulkarni, Larry Lansing, Alessandro Presta, Jason Baldridge, Eugene Ie, and Diego Garcia-Olano. 2019. Learning Dense Representations for Entity Retrieval. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 528–537, Hong Kong, China. Association for Computational Linguistics."
revisiting_token_dropping_strategy_in_efficient_bert_pretraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_embarrassingly_simple_approach_for_intellectual_property_rights_protection_on_recurrent_neural_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
how_do_languages_influence_each_other_studying_crosslingual_data_sharing_during_lm_finetuning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_network_alignment_for_sentential_paraphrases,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ernie_enhanced_language_representation_with_informative_entities,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
search_engine_statistics_beyond_the_ngram_application_to_noun_compound_bracketing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_sigmorphon_2019_shared_task_morphological_analysis_in_context_and_crosslingual_transfer_for_inflection,August,2019.0,ACL,https://aclanthology.org/W19-4226,mccarthy-etal-2019-sigmorphon,"Arya D. McCarthy, Ekaterina Vylomova, Shijie Wu, Chaitanya Malaviya, Lawrence Wolf-Sonkin, Garrett Nicolai, Christo Kirov, Miikka Silfverberg, Sabrina J. Mielke, Jeffrey Heinz, Ryan Cotterell, and Mans Hulden. 2019. The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection. In Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 229–244, Florence, Italy. Association for Computational Linguistics."
recovery_of_empty_nodes_in_parse_structures,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_framework_tax_disparities_between_inference_efficiency_in_nlp_research_and_deployment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bilingual_lexicon_induction_through_unsupervised_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_answer_generation_using_supervision_from_automatic_question_answering_evaluators,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
visionenhanced_semantic_entity_recognition_in_document_images_via_visuallyasymmetric_consistency_learning,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.973,wang-etal-2023-vision,"Hao Wang, Xiahua Chen, Rui Wang, and Chenhui Chu. 2023. Vision-Enhanced Semantic Entity Recognition in Document Images via Visually-Asymmetric Consistency Learning. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15718–15731, Singapore. Association for Computational Linguistics."
gapgen_guided_automatic_python_code_generation,May,2023.0,EACL,https://aclanthology.org/2023.eacl-srw.4,zhao-etal-2023-gap,"Junchen Zhao, Yurun Song, Junlin Wang, and Ian Harris. 2023. GAP-Gen: Guided Automatic Python Code Generation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 37–51, Dubrovnik, Croatia. Association for Computational Linguistics."
less_is_more_for_long_document_summary_evaluation_by_llms,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.29,wu-etal-2024-less,"Yunshu Wu, Hayate Iso, Pouya Pezeshkpour, Nikita Bhutani, and Estevam Hruschka. 2024. Less is More for Long Document Summary Evaluation by LLMs. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 330–343, St. Julian’s, Malta. Association for Computational Linguistics."
entity_linking_korean_text_an_unsupervised_learning_approach_using_semantic_relations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
beyond_centrality_and_structural_features_learning_information_importance_for_text_summarization,August,2016.0,CoNLL,https://aclanthology.org/K16-1009,zopf-etal-2016-beyond,"Markus Zopf, Eneldo Loza Mencía, and Johannes Fürnkranz. 2016. Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization. In Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, pages 84–94, Berlin, Germany. Association for Computational Linguistics."
unified_neural_topic_model_via_contrastive_learning_and_term_weighting,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
efficient_transformers_with_dynamic_token_pooling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
detecting_propaganda_techniques_in_codeswitched_social_media_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
aradic_arabic_document_classification_using_imagebased_character_embeddings_and_classbalanced_loss,December,2023.0,,https://aclanthology.org/2023.arabicnlp-1.88,ehsan-etal-2023-alphabrains-wojoodner,"Toqeer Ehsan, Amjad Ali, and Ala Al-Fuqaha. 2023. AlphaBrains at WojoodNER shared task: Arabic Named Entity Recognition by Using Character-based Context-Sensitive Word Representations. In Proceedings of ArabicNLP 2023, pages 783–788, Singapore (Hybrid). Association for Computational Linguistics."
multilegalpile_a_689gb_multilingual_legal_corpus,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_term_extraction_from_domainspecific_corpora_using_morphological_structure,,2006.0,EACL,https://aclanthology.org/E06-2022,bernhard-2006-multilingual,"Delphine Bernhard. 2006. Multilingual Term Extraction from Domain-specific Corpora Using Morphological Structure. In Demonstrations, pages 171–174."
apiassisted_code_generation_for_question_answering_on_varied_table_structures,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.897,cao-etal-2023-api,"Yihan Cao, Shuyi Chen, Ryan Liu, Zhiruo Wang, and Daniel Fried. 2023. API-Assisted Code Generation for Question Answering on Varied Table Structures. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 14536–14548, Singapore. Association for Computational Linguistics."
joint_diacritization_lemmatization_normalization_and_finegrained_morphological_tagging,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
highway_transformer_selfgating_enhanced_selfattentive_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lirage_late_interaction_retrieval_augmented_generation_with_explicit_signals_for_opendomain_table_question_answering,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.133,lin-etal-2023-li,"Weizhe Lin, Rexhina Blloshmi, Bill Byrne, Adria de Gispert, and Gonzalo Iglesias. 2023. LI-RAGE: Late Interaction Retrieval Augmented Generation with Explicit Signals for Open-Domain Table Question Answering. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1557–1566, Toronto, Canada. Association for Computational Linguistics."
watch_the_neighbors_a_unified_knearest_neighbor_contrastive_learning_framework_for_ood_intent_discovery,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.98,mou-etal-2022-watch,"Yutao Mou, Keqing He, Pei Wang, Yanan Wu, Jingang Wang, Wei Wu, and Weiran Xu. 2022. Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1517–1529, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
maggretriever_a_simple_yet_effective_approach_to_zeroshot_multilingual_dense_retrieval,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_comparative_study_of_reinforcement_learning_techniques_on_dialogue_management,April,2012.0,EACL,https://aclanthology.org/E12-3003,papangelis-2012-comparative,"Alexandros Papangelis. 2012. A Comparative Study of Reinforcement Learning Techniques on Dialogue Management. In Proceedings of the Student Research Workshop at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 22–31, Avignon, France. Association for Computational Linguistics."
mini_minds_exploring_bebeshka_and_zlata_baby_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
entitycentered_crossdocument_relation_extraction,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.671,wang-etal-2022-entity,"Fengqi Wang, Fei Li, Hao Fei, Jingye Li, Shengqiong Wu, Fangfang Su, Wenxuan Shi, Donghong Ji, and Bo Cai. 2022. Entity-centered Cross-document Relation Extraction. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9871–9881, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
covrelexse_adding_semantic_information_for_relation_search_via_sequence_embedding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
covid_vaccine_is_against_covid_but_oxford_vaccine_is_made_at_oxford_semantic_interpretation_of_proper_noun_compounds,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.711,kolluru-etal-2022-covid,"Keshav Kolluru, Gabriel Stanovsky, and Mausam -. 2022. “Covid vaccine is against Covid but Oxford vaccine is made at Oxford!” Semantic Interpretation of Proper Noun Compounds. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10407–10420, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
intrinsic_bias_metrics_do_not_correlate_with_application_bias,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_framework_for_visionlanguage_warmup_tasks_in_multimodal_dialogue_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
openkiwi_an_open_source_framework_for_quality_estimation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
do_pretrained_transformers_infer_telicity_like_humans,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
consisttl_modeling_consistency_in_transfer_learning_for_lowresource_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
autotrigger_labelefficient_and_robust_named_entity_recognition_with_auxiliary_trigger_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fairr_faithful_and_robust_deductive_reasoning_over_natural_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sequence_models_for_document_structure_identification_in_an_undeciphered_script,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
are_embedded_potatoes_still_vegetables_on_the_limitations_of_wordnet_embeddings_for_lexical_semantics,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_methodology_for_creating_question_answering_corpora_using_inverse_data_annotation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
massively_multilingual_lexical_specialization_of_multilingual_transformers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
primera_pyramidbased_masked_sentence_pretraining_for_multidocument_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
word_order_matters_when_you_increase_masking,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.118,lasri-etal-2022-word,"Karim Lasri, Alessandro Lenci, and Thierry Poibeau. 2022. Word Order Matters When You Increase Masking. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1808–1815, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
stochastic_tokenization_with_a_language_model_for_neural_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
higherorder_derivatives_of_weighted_finitestate_machines,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
storytrans_nonparallel_story_authorstyle_transfer_with_discourse_representations_and_content_enhancing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
compound_probabilistic_contextfree_grammars_for_grammar_induction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learned_incremental_representations_for_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_tool_for_multiword_expression_extraction_in_modern_greek_using_syntactic_parsing,April,2009.0,EACL,https://aclanthology.org/E09-2012,michou-seretan-2009-tool,"Athina Michou and Violeta Seretan. 2009. A Tool for Multi-Word Expression Extraction in Modern Greek Using Syntactic Parsing. In Proceedings of the Demonstrations Session at EACL 2009, pages 45–48, Athens, Greece. Association for Computational Linguistics."
hierarchical_modeling_for_user_personality_prediction_the_role_of_messagelevel_attention,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
levelup_learning_to_improve_proficiency_level_of_essays,July,2019.0,ACL,https://aclanthology.org/P19-3033,han-etal-2019-level,"Wen-Bin Han, Jhih-Jie Chen, Chingyu Yang, and Jason Chang. 2019. Level-Up: Learning to Improve Proficiency Level of Essays. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 207–212, Florence, Italy. Association for Computational Linguistics."
danli_deliberative_agent_for_following_natural_language_instructions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
graph_based_neural_networks_for_event_factuality_prediction_using_syntactic_and_semantic_structures,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
retrievalaugmented_image_captioning,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.266,ramos-etal-2023-retrieval,"Rita Ramos, Desmond Elliott, and Bruno Martins. 2023. Retrieval-augmented Image Captioning. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3666–3681, Dubrovnik, Croatia. Association for Computational Linguistics."
ganbert_generative_adversarial_learning_for_robust_text_classification_with_a_bunch_of_labeled_examples,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hardnessguided_domain_adaptation_to_recognise_biomedical_named_entities_under_lowresource_scenarios,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.271,nguyen-etal-2022-hardness,"Ngoc Dang Nguyen, Lan Du, Wray Buntine, Changyou Chen, and Richard Beare. 2022. Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4063–4071, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
synthetic_data_generation_with_large_language_models_for_text_classification_potential_and_limitations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
morphological_reinflection_with_multiple_arguments_an_extended_annotation_schema_and_a_georgian_case_study,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
assistive_recipe_editing_through_critiquing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploiting_wordnet_synset_and_hypernym_representations_for_answer_selection,December,2020.0,AACL,https://aclanthology.org/2020.aacl-main.14,li-wu-2020-exploiting,"Weikang Li and Yunfang Wu. 2020. Exploiting WordNet Synset and Hypernym Representations for Answer Selection. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, pages 106–115, Suzhou, China. Association for Computational Linguistics."
nonsequential_graph_script_induction_via_multimedia_grounding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automating_qualitative_data_analysis_with_large_language_models,August,2024.0,ACL,https://aclanthology.org/2024.acl-srw.17,parfenova-etal-2024-automating,"Angelina Parfenova, Alexander Denzler, and Jörgen Pfeffer. 2024. Automating Qualitative Data Analysis with Large Language Models. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), pages 83–91, Bangkok, Thailand. Association for Computational Linguistics."
regularized_context_gates_on_transformer_for_machine_translation,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.757,li-etal-2020-regularized,"Xintong Li, Lemao Liu, Rui Wang, Guoping Huang, and Max Meng. 2020. Regularized Context Gates on Transformer for Machine Translation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8555–8562, Online. Association for Computational Linguistics."
on_the_interpretability_and_significance_of_bias_metrics_in_texts_a_pmibased_approach,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multihypothesis_machine_translation_evaluation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_continual_learning_for_code_generation_models,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.68,yadav-etal-2023-exploring,"Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Parminder Bhatia, Xiaofei Ma, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, and Bing Xiang. 2023. Exploring Continual Learning for Code Generation Models. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 782–792, Toronto, Canada. Association for Computational Linguistics."
neural_coreference_resolution_with_deep_biaffine_attention_by_joint_mention_detection_and_mention_clustering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
investigating_lexical_substitution_scoring_for_subtitle_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
event2mind_commonsense_inference_on_events_intents_and_reactions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
incremental_transformer_with_deliberation_decoder_for_document_grounded_conversations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learn_with_martian_a_tool_for_creating_assignments_that_can_write_and_rewrite_themselves,May,2023.0,EACL,https://aclanthology.org/2023.eacl-demo.30,upadhyay-etal-2023-learn,"Shriyash Upadhyay, Chris Callison-burch, and Etan Ginsberg. 2023. Learn With Martian: A Tool For Creating Assignments That Can Write And Re-Write Themselves. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 267–276, Dubrovnik, Croatia. Association for Computational Linguistics."
cloze_distillation_improving_neural_language_models_with_human_nextword_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
building_a_partofspeech_tagged_corpus_for_drenjongke_bhutia,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
does_multiencoder_help_a_case_study_on_contextaware_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatic_selection_of_high_quality_parses_created_by_a_fully_unsupervised_parser,June,2009.0,CoNLL,https://aclanthology.org/W09-1120,reichart-rappoport-2009-automatic,"Roi Reichart and Ari Rappoport. 2009. Automatic Selection of High Quality Parses Created By a Fully Unsupervised Parser. In Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL-2009), pages 156–164, Boulder, Colorado. Association for Computational Linguistics."
82_treebanks_34_models_universal_dependency_parsing_with_multitreebank_models,October,2018.0,CoNLL,https://aclanthology.org/K18-2011,smith-etal-2018-82,"Aaron Smith, Bernd Bohnet, Miryam de Lhoneux, Joakim Nivre, Yan Shao, and Sara Stymne. 2018. 82 Treebanks, 34 Models: Universal Dependency Parsing with Multi-Treebank Models. In Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 113–123, Brussels, Belgium. Association for Computational Linguistics."
unsupervised_boundaryaware_language_model_pretraining_for_chinese_sequence_labeling,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.34,jiang-etal-2022-unsupervised,"Peijie Jiang, Dingkun Long, Yanzhao Zhang, Pengjun Xie, Meishan Zhang, and Min Zhang. 2022. Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 526–537, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
supervised_domain_adaption_for_wsd,March,2009.0,EACL,https://aclanthology.org/E09-1006,agirre-lopez-de-lacalle-2009-supervised,"Eneko Agirre and Oier Lopez de Lacalle. 2009. Supervised Domain Adaption for WSD. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 42–50, Athens, Greece. Association for Computational Linguistics."
learning_to_tag_oov_tokens_by_integrating_contextual_representation_and_background_knowledge,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
growing_finelydiscriminating_taxonomies_from_seeds_of_varying_quality_and_size,March,2009.0,EACL,https://aclanthology.org/E09-1095,veale-etal-2009-growing,"Tony Veale, Guofu Li, and Yanfen Hao. 2009. Growing Finely-Discriminating Taxonomies from Seeds of Varying Quality and Size. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 835–842, Athens, Greece. Association for Computational Linguistics."
back_to_the_future_bidirectional_information_decoupling_network_for_multiturn_dialogue_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ask_assess_and_refine_rectifying_factual_consistency_and_hallucination_in_llms_with_metricguided_feedback_learning,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.149,lee-etal-2024-ask,"Dongyub Lee, Eunhwan Park, Hodong Lee, and Heuiseok Lim. 2024. Ask, Assess, and Refine: Rectifying Factual Consistency and Hallucination in LLMs with Metric-Guided Feedback Learning. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2422–2433, St. Julian’s, Malta. Association for Computational Linguistics."
bitfit_simple_parameterefficient_finetuning_for_transformerbased_masked_languagemodels,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.1,ben-zaken-etal-2022-bitfit,"Elad Ben Zaken, Yoav Goldberg, and Shauli Ravfogel. 2022. BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1–9, Dublin, Ireland. Association for Computational Linguistics."
modalspecific_pseudo_query_generation_for_video_corpus_moment_retrieval,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.530,jung-etal-2022-modal,"Minjoon Jung, SeongHo Choi, JooChan Kim, Jin-Hwa Kim, and Byoung-Tak Zhang. 2022. Modal-specific Pseudo Query Generation for Video Corpus Moment Retrieval. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7769–7781, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
language_contamination_helps_explains_the_crosslingual_capabilities_of_english_pretrained_models,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.233,blevins-zettlemoyer-2022-language,"Terra Blevins and Luke Zettlemoyer. 2022. Language Contamination Helps Explains the Cross-lingual Capabilities of English Pretrained Models. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3563–3574, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
language_models_as_representations_for_weakly_supervised_nlp_tasks,June,2011.0,CoNLL,https://aclanthology.org/W11-0315,huang-etal-2011-language,"Fei Huang, Alexander Yates, Arun Ahuja, and Doug Downey. 2011. Language Models as Representations for Weakly Supervised NLP Tasks. In Proceedings of the Fifteenth Conference on Computational Natural Language Learning, pages 125–134, Portland, Oregon, USA. Association for Computational Linguistics."
unsupervised_anomaly_detection_in_multitopic_shorttext_corpora,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multitabqa_generating_tabular_answers_for_multitable_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_iterative_approach_for_joint_dependency_parsing_and_semantic_role_labeling,June,2009.0,CoNLL,https://aclanthology.org/W09-1202,dai-etal-2009-iterative,"Qifeng Dai, Enhong Chen, and Liu Shi. 2009. An Iterative Approach for Joint Dependency Parsing and Semantic Role Labeling. In Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL 2009): Shared Task, pages 19–24, Boulder, Colorado. Association for Computational Linguistics."
exploiting_language_relatedness_for_low_webresource_language_model_adaptation_an_indic_languages_study,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
knowledgeable_prompttuning_incorporating_knowledge_into_prompt_verbalizer_for_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
assigning_function_tags_to_parsed_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
leveraging_unimodal_selfsupervised_learning_for_multimodal_audiovisual_speech_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
getting_the_structure_right_for_word_alignment_leaf,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
model_selection_for_typesupervised_learning_with_application_to_pos_tagging,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
revisiting_parameterefficient_tuning_are_we_really_there_yet,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.168,chen-etal-2022-revisiting,"Guanzheng Chen, Fangyu Liu, Zaiqiao Meng, and Shangsong Liang. 2022. Revisiting Parameter-Efficient Tuning: Are We Really There Yet?. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 2612–2626, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
berxit_early_exiting_for_bert_with_better_finetuning_and_extension_to_regression,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.8,xin-etal-2021-berxit,"Ji Xin, Raphael Tang, Yaoliang Yu, and Jimmy Lin. 2021. BERxiT: Early Exiting for BERT with Better Fine-Tuning and Extension to Regression. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 91–104, Online. Association for Computational Linguistics."
can_visual_context_improve_automatic_speech_recognition_for_an_embodied_agent,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.127,pramanick-sarkar-2022-visual,"Pradip Pramanick and Chayan Sarkar. 2022. Can Visual Context Improve Automatic Speech Recognition for an Embodied Agent?. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1946–1957, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
content_moderation_for_evolving_policies_using_binary_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gcm_a_toolkit_for_generating_synthetic_codemixed_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
drag_directorgenerator_language_modelling_framework_for_nonparallel_author_stylized_rewriting,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.73,singh-etal-2021-drag,"Hrituraj Singh, Gaurav Verma, Aparna Garimella, and Balaji Vasan Srinivasan. 2021. DRAG: Director-Generator Language Modelling Framework for Non-Parallel Author Stylized Rewriting. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 863–873, Online. Association for Computational Linguistics."
identification_and_resolution_of_chinese_zero_pronouns_a_machine_learning_approach,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
combining_tree_structures_flat_features_and_patterns_for_biomedical_relation_extraction,April,2012.0,EACL,https://aclanthology.org/E12-1043,chowdhury-lavelli-2012-combining,"Md. Faisal Mahbub Chowdhury and Alberto Lavelli. 2012. Combining Tree Structures, Flat Features and Patterns for Biomedical Relation Extraction. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 420–429, Avignon, France. Association for Computational Linguistics."
basahacorpus_an_expanded_linguistic_resource_for_readability_assessment_in_central_philippine_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
finer_financial_numeric_entity_recognition_for_xbrl_tagging,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_effective_posttraining_embedding_binarization_approach_for_fast_online_topk_passage_matching,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
brat_a_webbased_tool_for_nlpassisted_text_annotation,April,2012.0,EACL,https://aclanthology.org/E12-2021,stenetorp-etal-2012-brat,"Pontus Stenetorp, Sampo Pyysalo, Goran Topić, Tomoko Ohta, Sophia Ananiadou, and Jun’ichi Tsujii. 2012. brat: a Web-based Tool for NLP-Assisted Text Annotation. In Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 102–107, Avignon, France. Association for Computational Linguistics."
rapl_a_relationaware_prototype_learning_approach_for_fewshot_documentlevel_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sentiment_adaptive_endtoend_dialog_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
linear_classifier_an_oftenforgotten_baseline_for_text_classification,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.160,lin-etal-2023-linear,"Yu-Chen Lin, Si-An Chen, Jie-Jyun Liu, and Chih-Jen Lin. 2023. Linear Classifier: An Often-Forgotten Baseline for Text Classification. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1876–1888, Toronto, Canada. Association for Computational Linguistics."
augmenting_neural_networks_with_firstorder_logic,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
zeroshot_generalization_in_dialog_state_tracking_through_generative_question_answering,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.91,li-etal-2021-zero,"Shuyang Li, Jin Cao, Mukund Sridhar, Henghui Zhu, Shang-Wen Li, Wael Hamza, and Julian McAuley. 2021. Zero-shot Generalization in Dialog State Tracking through Generative Question Answering. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1063–1074, Online. Association for Computational Linguistics."
a_shallow_discourse_parsing_system_based_on_maximum_entropy_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_dialogue_discourse_parsing_via_replyto_structures_of_addressee_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
largescale_multilabel_text_classification_on_eu_legislation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_pretrained_language_representations_with_rich_knowledge_for_machine_reading_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_risk_of_racial_bias_in_hate_speech_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
counterfactuals_to_control_latent_disentangled_text_representations_for_style_transfer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
is_finetuning_needed_pretrained_language_models_are_near_perfect_for_outofdomain_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
finding_middle_ground_multiobjective_natural_language_generation_from_timeseries_data,April,2014.0,EACL,https://aclanthology.org/E14-4041,gkatzia-etal-2014-finding,"Dimitra Gkatzia, Helen Hastie, and Oliver Lemon. 2014. Finding middle ground? Multi-objective Natural Language Generation from time-series data. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 210–214, Gothenburg, Sweden. Association for Computational Linguistics."
promptbased_rule_discovery_and_boosting_for_interactive_weaklysupervised_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
robustness_of_fusionbased_multimodal_classifiers_to_crossmodal_content_dilutions,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.25,verma-etal-2022-robustness,"Gaurav Verma, Vishwa Vinay, Ryan Rossi, and Srijan Kumar. 2022. Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 360–374, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
extracting_text_representations_for_terms_and_phrases_in_technical_domains,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.7,fusco-antognini-2023-extracting,"Francesco Fusco and Diego Antognini. 2023. Extracting Text Representations for Terms and Phrases in Technical Domains. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 61–70, Toronto, Canada. Association for Computational Linguistics."
conll2013_shared_task_grammatical_error_correction_nthu_system_description,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
clarq_a_largescale_and_diverse_dataset_for_clarification_question_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dimongen_diversified_generative_commonsense_reasoning_for_explaining_concept_relationships,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
from_the_stage_to_the_audience_propaganda_on_reddit,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.309,balalau-horincar-2021-stage,"Oana Balalau and Roxana Horincar. 2021. From the Stage to the Audience: Propaganda on Reddit. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3540–3550, Online. Association for Computational Linguistics."
hold_on_honey_men_at_work_a_semisupervised_approach_to_detecting_sexism_in_sitcoms,August,2021.0,,https://aclanthology.org/2021.acl-srw.19,singh-etal-2021-hold,"Smriti Singh, Tanvi Anand, Arijit Ghosh Chowdhury, and Zeerak Waseem. 2021. “Hold on honey, men at work”: A semi-supervised approach to detecting sexism in sitcoms. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop, pages 180–185, Online. Association for Computational Linguistics."
bridging_fairness_and_environmental_sustainability_in_natural_language_processing,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.533,hessenthaler-etal-2022-bridging,"Marius Hessenthaler, Emma Strubell, Dirk Hovy, and Anne Lauscher. 2022. Bridging Fairness and Environmental Sustainability in Natural Language Processing. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7817–7836, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
a_unified_model_for_extractive_and_abstractive_summarization_using_inconsistency_loss,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
predicting_accuracy_on_large_datasets_from_smaller_pilot_data,July,2018.0,ACL,https://aclanthology.org/P18-2072,johnson-etal-2018-predicting,"Mark Johnson, Peter Anderson, Mark Dras, and Mark Steedman. 2018. Predicting accuracy on large datasets from smaller pilot data. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 450–455, Melbourne, Australia. Association for Computational Linguistics."
societal_biases_in_language_generation_progress_and_challenges,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bring_more_attention_to_syntactic_symmetry_for_automatic_postediting_of_highquality_machine_translations,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.122,jung-etal-2023-bring,"Baikjin Jung, Myungji Lee, Jong-Hyeok Lee, and Yunsu Kim. 2023. Bring More Attention to Syntactic Symmetry for Automatic Postediting of High-Quality Machine Translations. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1433–1441, Toronto, Canada. Association for Computational Linguistics."
a_copyaugmented_generative_model_for_opendomain_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
development_of_pretrained_language_models_for_clinical_nlp_in_spanish,May,2023.0,EACL,https://aclanthology.org/2023.eacl-srw.5,aracena-dunstan-2023-development,"Claudio Aracena and Jocelyn Dunstan. 2023. Development of pre-trained language models for clinical NLP in Spanish. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 52–60, Dubrovnik, Croatia. Association for Computational Linguistics."
fluid_construction_grammar_the_new_kid_on_the_block,April,2012.0,EACL,https://aclanthology.org/E12-2013,van-trijp-etal-2012-fluid,"Remi van Trijp, Luc Steels, Katrien Beuls, and Pieter Wellens. 2012. Fluid Construction Grammar: The New Kid on the Block. In Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 63–68, Avignon, France. Association for Computational Linguistics."
understanding_each_other,,2000.0,ANLP,https://aclanthology.org/A00-2042,gardent-konrad-2000-understanding,Claire Gardent and Karsten Konrad. 2000. Understanding “Each Other”. In 1st Meeting of the North American Chapter of the Association for Computational Linguistics.
how_fragile_is_relation_extraction_under_entity_replacements,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_largescale_chinese_multimodal_ner_dataset_with_speech_clues,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_textbooks_with_visuals_from_the_web_for_improved_learning,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.731,singh-etal-2023-enhancing,"Janvijay Singh, Vilém Zouhar, and Mrinmaya Sachan. 2023. Enhancing Textbooks with Visuals from the Web for Improved Learning. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11931–11944, Singapore. Association for Computational Linguistics."
multimuc_multilingual_template_filling_on_muc4,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.21,gantt-etal-2024-multimuc,"William Gantt, Shabnam Behzad, Hannah An, Yunmo Chen, Aaron White, Benjamin Van Durme, and Mahsa Yarmohammadi. 2024. MultiMUC: Multilingual Template Filling on MUC-4. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 349–368, St. Julian’s, Malta. Association for Computational Linguistics."
discovering_global_patterns_in_linguistic_networks_through_spectral_analysis_a_case_study_of_the_consonant_inventories,March,2009.0,EACL,https://aclanthology.org/E09-1067,mukherjee-etal-2009-discovering,"Animesh Mukherjee, Monojit Choudhury, and Ravi Kannan. 2009. Discovering Global Patterns in Linguistic Networks through Spectral Analysis: A Case Study of the Consonant Inventories. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 585–593, Athens, Greece. Association for Computational Linguistics."
selectively_answering_ambiguous_questions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
informask_unsupervised_informative_masking_for_language_model_pretraining,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.395,sadeq-etal-2022-informask,"Nafis Sadeq, Canwen Xu, and Julian McAuley. 2022. InforMask: Unsupervised Informative Masking for Language Model Pretraining. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5866–5878, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
a_unified_positiveunlabeled_learning_framework_for_documentlevel_relation_extraction_with_different_levels_of_labeling,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.276,wang-etal-2022-unified,"Ye Wang, Xinxin Liu, Wenxin Hu, and Tao Zhang. 2022. A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of Labeling. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4123–4135, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
weaklysupervised_neural_semantic_parsing_with_a_generative_ranker,October,2018.0,CoNLL,https://aclanthology.org/K18-1035,cheng-lapata-2018-weakly,"Jianpeng Cheng and Mirella Lapata. 2018. Weakly-Supervised Neural Semantic Parsing with a Generative Ranker. In Proceedings of the 22nd Conference on Computational Natural Language Learning, pages 356–367, Brussels, Belgium. Association for Computational Linguistics."
crosslingual_distributional_profiles_of_concepts_for_measuring_semantic_distance,June,2007.0,,https://aclanthology.org/D07-1060,mohammad-etal-2007-cross,"Saif Mohammad, Iryna Gurevych, Graeme Hirst, and Torsten Zesch. 2007. Cross-Lingual Distributional Profiles of Concepts for Measuring Semantic Distance. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 571–580, Prague, Czech Republic. Association for Computational Linguistics."
skep_sentiment_knowledge_enhanced_pretraining_for_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_pixel_representations_for_translation_and_effective_crosslingual_transfer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
text_rendering_strategies_for_pixel_language_models,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.628,lotz-etal-2023-text,"Jonas Lotz, Elizabeth Salesky, Phillip Rust, and Desmond Elliott. 2023. Text Rendering Strategies for Pixel Language Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 10155–10172, Singapore. Association for Computational Linguistics."
on_sample_based_explanation_methods_for_nlp_faithfulness_efficiency_and_semantic_evaluation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
transforming_visual_scene_graphs_to_image_captions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
predicting_the_growth_of_morphological_families_from_social_and_linguistic_factors,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mint_a_method_for_effective_and_scalable_mining_of_named_entity_transliterations_from_large_comparable_corpora,March,2009.0,EACL,https://aclanthology.org/E09-1091,udupa-etal-2009-mint,"Raghavendra Udupa, K Saravanan, A Kumaran, and Jagadeesh Jagarlamudi. 2009. MINT: A Method for Effective and Scalable Mining of Named Entity Transliterations from Large Comparable Corpora. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 799–807, Athens, Greece. Association for Computational Linguistics."
how_can_we_accelerate_progress_towards_humanlike_linguistic_generalization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mose_modality_split_and_ensemble_for_multimodal_knowledge_graph_completion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluating_the_robustness_of_discrete_prompts,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.174,ishibashi-etal-2023-evaluating,"Yoichi Ishibashi, Danushka Bollegala, Katsuhito Sudoh, and Satoshi Nakamura. 2023. Evaluating the Robustness of Discrete Prompts. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2373–2384, Dubrovnik, Croatia. Association for Computational Linguistics."
a_spanbased_linearization_for_constituent_trees,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
frequencyguided_word_substitutions_for_detecting_textual_adversarial_examples,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.13,mozes-etal-2021-frequency,"Maximilian Mozes, Pontus Stenetorp, Bennett Kleinberg, and Lewis Griffin. 2021. Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 171–186, Online. Association for Computational Linguistics."
semantic_parsing_of_disfluent_speech,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.150,sen-groves-2021-semantic,"Priyanka Sen and Isabel Groves. 2021. Semantic Parsing of Disfluent Speech. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1748–1753, Online. Association for Computational Linguistics."
bertective_language_models_and_contextual_information_for_deception_detection,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.232,fornaciari-etal-2021-bertective,"Tommaso Fornaciari, Federico Bianchi, Massimo Poesio, and Dirk Hovy. 2021. BERTective: Language Models and Contextual Information for Deception Detection. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2699–2708, Online. Association for Computational Linguistics."
corpussteered_query_expansion_with_large_language_models,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.34,lei-etal-2024-corpus,"Yibin Lei, Yu Cao, Tianyi Zhou, Tao Shen, and Andrew Yates. 2024. Corpus-Steered Query Expansion with Large Language Models. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 393–401, St. Julian’s, Malta. Association for Computational Linguistics."
a_comparative_study_of_bayesian_models_for_unsupervised_sentiment_detection,July,2010.0,CoNLL,https://aclanthology.org/W10-2918,lin-etal-2010-comparative,"Chenghua Lin, Yulan He, and Richard Everson. 2010. A Comparative Study of Bayesian Models for Unsupervised Sentiment Detection. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning, pages 144–152, Uppsala, Sweden. Association for Computational Linguistics."
wider__closer_mixture_of_shortchannel_distillers_for_zeroshot_crosslingual_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
language_model_sentence_completion_with_a_parserdriven_rhetorical_control_method,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.18,zingale-kalita-2024-language,"Joshua Zingale and Jugal Kalita. 2024. Language Model Sentence Completion with a Parser-Driven Rhetorical Control Method. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 193–203, St. Julian’s, Malta. Association for Computational Linguistics."
can_language_models_understand_physical_concepts,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.726,li-etal-2023-language-models,"Lei Li, Jingjing Xu, Qingxiu Dong, Ce Zheng, Xu Sun, Lingpeng Kong, and Qi Liu. 2023. Can Language Models Understand Physical Concepts?. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11843–11861, Singapore. Association for Computational Linguistics."
eliciting_knowledge_from_experts_automatic_transcript_parsing_for_cognitive_task_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_neural_transitionbased_model_for_argumentation_mining,August,2021.0,,https://aclanthology.org/2021.acl-long.497,bao-etal-2021-neural,"Jianzhu Bao, Chuang Fan, Jipeng Wu, Yixue Dang, Jiachen Du, and Ruifeng Xu. 2021. A Neural Transition-based Model for Argumentation Mining. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 6354–6364, Online. Association for Computational Linguistics."
unsupervised_learning_of_discourseaware_text_representation_for_essay_scoring,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
single_and_crossdomain_polarity_classification_using_string_kernels,April,2017.0,EACL,https://aclanthology.org/E17-2089,gimenez-perez-etal-2017-single,"Rosa M. Giménez-Pérez, Marc Franco-Salvador, and Paolo Rosso. 2017. Single and Cross-domain Polarity Classification using String Kernels. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 558–563, Valencia, Spain. Association for Computational Linguistics."
masakhapos_partofspeech_tagging_for_typologically_diverse_african_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
no_clues_good_clues_out_of_context_lexical_relation_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
figmemes_a_dataset_for_figurative_language_identification_in_politicallyopinionated_memes,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.476,liu-etal-2022-figmemes,"Chen Liu, Gregor Geigle, Robin Krebs, and Iryna Gurevych. 2022. FigMemes: A Dataset for Figurative Language Identification in Politically-Opinionated Memes. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7069–7086, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
unitedqa_a_hybrid_approach_for_open_domain_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_from_sibling_mentions_with_scalable_graph_inference_in_finegrained_entity_typing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
labelspecific_dual_graph_neural_network_for_multilabel_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
arnor_attention_regularization_based_noise_reduction_for_distant_supervision_relation_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
commrc_a_contextmasked_machine_reading_comprehension_framework_for_aspect_sentiment_triplet_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
meker_memory_efficient_knowledge_embedding_representation_for_link_prediction_and_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
kecp_knowledge_enhanced_contrastive_prompting_for_fewshot_extractive_question_answering,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.206,wang-etal-2022-kecp,"Jianing Wang, Chengyu Wang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Jun Huang, and Ming Gao. 2022. KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3152–3163, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
generating_visual_spatial_description_via_holistic_3d_scene_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
plan_verify_and_switch_integrated_reasoning_with_diverse_xofthoughts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
recall_expand_and_multicandidate_crossencode_fast_and_accurate_ultrafine_entity_typing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
charpoet_a_chinese_classical_poetry_generation_system_based_on_tokenfree_llm,August,2024.0,ACL,https://aclanthology.org/2024.acl-demos.30,yu-etal-2024-charpoet,"Chengyue Yu, Lei Zang, Jiaotuan Wang, Chenyi Zhuang, and Jinjie Gu. 2024. CharPoet: A Chinese Classical Poetry Generation System Based on Token-free LLM. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 315–325, Bangkok, Thailand. Association for Computational Linguistics."
kgfid_infusing_knowledge_graph_in_fusionindecoder_for_opendomain_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
best_of_both_worlds_making_high_accuracy_nonincremental_transformerbased_disfluency_detection_incremental,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
keep_meeting_summaries_on_topic_abstractive_multimodal_meeting_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
biasx_thinking_slow_in_toxic_content_moderation_with_explanations_of_implied_social_biases,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
opinion_holder_and_target_extraction_based_on_the_induction_of_verbal_categories,July,2015.0,CoNLL,https://aclanthology.org/K15-1022,wiegand-ruppenhofer-2015-opinion,"Michael Wiegand and Josef Ruppenhofer. 2015. Opinion Holder and Target Extraction based on the Induction of Verbal Categories. In Proceedings of the Nineteenth Conference on Computational Natural Language Learning, pages 215–225, Beijing, China. Association for Computational Linguistics."
might_a_semantic_lexicon_support_hypertextual_authoring,October,1994.0,ANLP,https://aclanthology.org/A94-1029,basili-etal-1994-might,"Roberto Basili, Fabrizio Grisoli, and Maria Teresa Pazienza. 1994. Might a semantic lexicon support hypertextual authoring?. In Fourth Conference on Applied Natural Language Processing, pages 174–179, Stuttgart, Germany. Association for Computational Linguistics."
multi_task_learning_for_zero_shot_performance_prediction_of_multilingual_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
redundancy_detection_in_esl_writings,April,2014.0,EACL,https://aclanthology.org/E14-1072,xue-hwa-2014-redundancy,"Huichao Xue and Rebecca Hwa. 2014. Redundancy Detection in ESL Writings. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 683–691, Gothenburg, Sweden. Association for Computational Linguistics."
aggregated_semantic_matching_for_short_text_entity_linking,October,2018.0,CoNLL,https://aclanthology.org/K18-1046,nie-etal-2018-aggregated,"Feng Nie, Shuyan Zhou, Jing Liu, Jinpeng Wang, Chin-Yew Lin, and Rong Pan. 2018. Aggregated Semantic Matching for Short Text Entity Linking. In Proceedings of the 22nd Conference on Computational Natural Language Learning, pages 476–485, Brussels, Belgium. Association for Computational Linguistics."
vigptqa__stateoftheart_llms_for_vietnamese_question_answering_system_overview_core_models_training_and_evaluations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
grammatical_framework_web_service,April,2009.0,EACL,https://aclanthology.org/E09-2003,bringert-etal-2009-grammatical,"Björn Bringert, Krasimir Angelov, and Aarne Ranta. 2009. Grammatical Framework Web Service. In Proceedings of the Demonstrations Session at EACL 2009, pages 9–12, Athens, Greece. Association for Computational Linguistics."
a_trio_neural_model_for_dynamic_entity_relatedness_ranking,October,2018.0,CoNLL,https://aclanthology.org/K18-1004,nguyen-etal-2018-trio,"Tu Nguyen, Tuan Tran, and Wolfgang Nejdl. 2018. A Trio Neural Model for Dynamic Entity Relatedness Ranking. In Proceedings of the 22nd Conference on Computational Natural Language Learning, pages 31–41, Brussels, Belgium. Association for Computational Linguistics."
a_web_interface_for_diachronic_semantic_search_in_spanish,April,2017.0,EACL,https://aclanthology.org/E17-3012,gamallo-etal-2017-web,"Pablo Gamallo, Iván Rodríguez-Torres, and Marcos Garcia. 2017. A Web Interface for Diachronic Semantic Search in Spanish. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 45–48, Valencia, Spain. Association for Computational Linguistics."
metalearning_online_adaptation_of_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
divide_conquer_and_combine_hierarchical_feature_fusion_network_with_local_and_global_perspectives_for_multimodal_affective_computing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
layerwise_fusion_with_modality_independence_modeling_for_multimodal_emotion_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hindi_history_note_generation_with_unsupervised_extractive_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
segmenting_numerical_substitution_ciphers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
detoxifying_text_with_marco_controllable_revision_with_experts_and_antiexperts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_structured_variational_autoencoder_for_contextual_morphological_inflection,July,2018.0,ACL,https://aclanthology.org/P18-1245,wolf-sonkin-etal-2018-structured,"Lawrence Wolf-Sonkin, Jason Naradowsky, Sabrina J. Mielke, and Ryan Cotterell. 2018. A Structured Variational Autoencoder for Contextual Morphological Inflection. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2631–2641, Melbourne, Australia. Association for Computational Linguistics."
questionanswer_sentence_graph_for_joint_modeling_answer_selection,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.68,iyer-etal-2023-question,"Roshni Iyer, Thuy Vu, Alessandro Moschitti, and Yizhou Sun. 2023. Question-Answer Sentence Graph for Joint Modeling Answer Selection. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 968–979, Dubrovnik, Croatia. Association for Computational Linguistics."
enhancing_crosslingual_natural_language_inference_by_promptlearning_from_crosslingual_templates,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gold_doesnt_always_glitter_spectral_removal_of_linear_and_nonlinear_guarded_attribute_information,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lingglewrite_a_coaching_system_for_essay_writing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_comparative_study_on_textual_saliency_of_styles_from_eye_tracking_annotations_and_language_models,December,2023.0,CoNLL,https://aclanthology.org/2023.conll-1.8,de-langis-kang-2023-comparative,"Karin de Langis and Dongyeop Kang. 2023. A Comparative Study on Textual Saliency of Styles from Eye Tracking, Annotations, and Language Models. In Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL), pages 108–121, Singapore. Association for Computational Linguistics."
h2o_open_ecosystem_for_stateoftheart_large_language_models,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-demo.6,candel-etal-2023-h2o,"Arno Candel, Jon McKinney, Philipp Singer, Pascal Pfeiffer, Maximilian Jeblick, Chun Ming Lee, and Marcos Conde. 2023. H2O Open Ecosystem for State-of-the-art Large Language Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 82–89, Singapore. Association for Computational Linguistics."
hengam_an_adversarially_trained_transformer_for_persian_temporal_tagging,November,2022.0,,https://aclanthology.org/2022.aacl-main.74,mirzababaei-etal-2022-hengam,"Sajad Mirzababaei, Amir Hossein Kargaran, Hinrich Schütze, and Ehsaneddin Asgari. 2022. Hengam: An Adversarially Trained Transformer for Persian Temporal Tagging. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 1013–1024, Online only. Association for Computational Linguistics."
memorybased_grammatical_error_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_threeparameter_rankfrequency_relation_in_natural_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bilingual_sentiment_embeddings_joint_projection_of_sentiment_across_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
miread_simple_method_for_learning_highquality_representations_from_scientific_documents,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
identifying_the_limits_of_transformers_when_performing_modelchecking_with_natural_language,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.257,madusanka-etal-2023-identifying,"Tharindu Madusanka, Riza Batista-navarro, and Ian Pratt-hartmann. 2023. Identifying the limits of transformers when performing model-checking with natural language. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3539–3550, Dubrovnik, Croatia. Association for Computational Linguistics."
postac__a_visual_interactive_search_exploration_and_analysis_platform_for_phd_intensive_job_postings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
comparing_topdown_and_bottomup_neural_generative_dependency_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluating_evaluation_metrics_a_framework_for_analyzing_nlg_evaluation_metrics_using_measurement_theory,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.676,xiao-etal-2023-evaluating-evaluation,"Ziang Xiao, Susu Zhang, Vivian Lai, and Q. Vera Liao. 2023. Evaluating Evaluation Metrics: A Framework for Analyzing NLG Evaluation Metrics using Measurement Theory. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 10967–10982, Singapore. Association for Computational Linguistics."
rocbert_robust_chinese_bert_with_multimodal_contrastive_pretraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
grammatical_error_correction_using_hybrid_systems_and_type_filtering,June,2014.0,CoNLL,https://aclanthology.org/W14-1702,felice-etal-2014-grammatical,"Mariano Felice, Zheng Yuan, Øistein E. Andersen, Helen Yannakoudakis, and Ekaterina Kochmar. 2014. Grammatical error correction using hybrid systems and type filtering. In Proceedings of the Eighteenth Conference on Computational Natural Language Learning: Shared Task, pages 15–24, Baltimore, Maryland. Association for Computational Linguistics."
establishing_trustworthiness_rethinking_tasks_and_model_evaluation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
chaining_event_spans_for_temporal_relation_grounding,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.101,kim-etal-2024-chaining,"Jongho Kim, Dohyeon Lee, Minsoo Kim, and Seung-won Hwang. 2024. Chaining Event Spans for Temporal Relation Grounding. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1689–1700, St. Julian’s, Malta. Association for Computational Linguistics."
crosslingual_text_classification_with_heterogeneous_graph_neural_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ngep_a_graphbased_event_planning_framework_for_story_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
emlm_a_new_pretraining_objective_for_emotion_related_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
confidencebased_ensembling_of_perspectiveaware_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
query_log_analysis_with_langlog,April,2012.0,EACL,https://aclanthology.org/E12-2018,trevisan-etal-2012-query,"Marco Trevisan, Eduard Barbu, Igor Barsanti, Luca Dini, Nikolaos Lagos, Frédérique Segond, Mathieu Rhulmann, and Ed Vald. 2012. Query log analysis with LangLog. In Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 87–91, Avignon, France. Association for Computational Linguistics."
tree_prompting_efficient_task_adaptation_without_finetuning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
metaqa_combining_expert_agents_for_multiskill_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generating_data_to_mitigate_spurious_correlations_in_natural_language_inference_datasets,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reservoir_transformers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_semantic_frame_induction_using_triclustering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
efficient_benchmarking_of_nlp_apis_using_multiarmed_bandits,April,2017.0,EACL,https://aclanthology.org/E17-1039,haffari-etal-2017-efficient,"Gholamreza Haffari, Tuan Dung Tran, and Mark Carman. 2017. Efficient Benchmarking of NLP APIs using Multi-armed Bandits. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 408–416, Valencia, Spain. Association for Computational Linguistics."
bag_of_tricks_for_efficient_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pragmatic_competence_of_pretrained_language_models_through_the_lens_of_discourse_connectives,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adept_an_adjectivedependent_plausibility_task,August,2021.0,,https://aclanthology.org/2021.acl-long.553,emami-etal-2021-adept,"Ali Emami, Ian Porada, Alexandra Olteanu, Kaheer Suleman, Adam Trischler, and Jackie Chi Kit Cheung. 2021. ADEPT: An Adjective-Dependent Plausibility Task. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 7117–7128, Online. Association for Computational Linguistics."
composing_ci_with_reinforced_nonautoregressive_text_generation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.486,song-2022-composing,"Yan Song. 2022. Composing Ci with Reinforced Non-autoregressive Text Generation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7219–7229, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
discourse_structures_guided_finegrained_propaganda_identification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
thats_optional_a_contemporary_exploration_of_that_omission_in_english_subordinate_clauses,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
varifocal_question_generation_for_factchecking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_weakly_supervised_classifier_and_dataset_of_white_supremacist_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
simple_and_effective_text_matching_with_richer_alignment_features,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
vicinal_risk_minimization_for_fewshot_crosslingual_transfer_in_abusive_language_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
beyond_finetuning_fewsample_sentence_embedding_transfer,December,2020.0,AACL,https://aclanthology.org/2020.aacl-main.47,garg-etal-2020-beyond,"Siddhant Garg, Rohit Kumar Sharma, and Yingyu Liang. 2020. Beyond Fine-tuning: Few-Sample Sentence Embedding Transfer. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, pages 460–469, Suzhou, China. Association for Computational Linguistics."
why_arent_we_ner_yet_artifacts_of_asr_errors_in_named_entity_recognition_in_spontaneous_speech_transcripts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
match_the_script_adapt_if_multilingual_analyzing_the_effect_of_multilingual_pretraining_on_crosslingual_transferability,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
disentangling_the_roles_of_targetside_transfer_and_regularization_in_multilingual_machine_translation,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.110,meng-monz-2024-disentangling,"Yan Meng and Christof Monz. 2024. Disentangling the Roles of Target-side Transfer and Regularization in Multilingual Machine Translation. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1828–1840, St. Julian’s, Malta. Association for Computational Linguistics."
situated_dialogue_learning_through_procedural_environment_generation,May,2022.0,ACL,https://aclanthology.org/2022.acl-long.557,ammanabrolu-etal-2022-situated,"Prithviraj Ammanabrolu, Renee Jia, and Mark Riedl. 2022. Situated Dialogue Learning through Procedural Environment Generation. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 8099–8116, Dublin, Ireland. Association for Computational Linguistics."
spanbased_semantic_parsing_for_compositional_generalization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
directed_acyclic_graph_network_for_conversational_emotion_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
geolm_empowering_language_models_for_geospatially_grounded_language_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_simple_and_flexible_modeling_for_mental_disorder_detection_by_learning_from_clinical_questionnaires,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
vqamhug_a_gaze_dataset_to_study_multimodal_neural_attention_in_visual_question_answering,November,2021.0,CoNLL,https://aclanthology.org/2021.conll-1.3,sood-etal-2021-vqa,"Ekta Sood, Fabian Kögel, Florian Strohm, Prajit Dhar, and Andreas Bulling. 2021. VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering. In Proceedings of the 25th Conference on Computational Natural Language Learning, pages 27–43, Online. Association for Computational Linguistics."
a_framework_for_representing_language_acquisition_in_a_population_setting,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
training_data_is_more_valuable_than_you_think_a_simple_and_effective_method_by_retrieving_from_training_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fewshot_datatotext_generation_via_unified_representation_and_multisource_learning,July,2023.0,ACL,https://aclanthology.org/2023.acl-long.894,li-etal-2023-shot-data,"Alexander Hanbo Li, Mingyue Shang, Evangelia Spiliopoulou, Jie Ma, Patrick Ng, Zhiguo Wang, Bonan Min, William Yang Wang, Kathleen McKeown, Vittorio Castelli, Dan Roth, and Bing Xiang. 2023. Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 16171–16189, Toronto, Canada. Association for Computational Linguistics."
coreference_resolution_of_elided_subjects_and_possessive_pronouns_in_spanishenglish_statistical_machine_translation,April,2017.0,EACL,https://aclanthology.org/E17-2104,rios-gonzales-tuggener-2017-co,"Annette Rios Gonzales and Don Tuggener. 2017. Co-reference Resolution of Elided Subjects and Possessive Pronouns in Spanish-English Statistical Machine Translation. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 657–662, Valencia, Spain. Association for Computational Linguistics."
dynaeval_unifying_turn_and_dialogue_level_evaluation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crosslingual_crosstarget_stance_detection_with_dual_knowledge_distillation_framework,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.666,zhang-etal-2023-cross-lingual,"Ruike Zhang, Hanxuan Yang, and Wenji Mao. 2023. Cross-Lingual Cross-Target Stance Detection with Dual Knowledge Distillation Framework. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 10804–10819, Singapore. Association for Computational Linguistics."
explicitly_capturing_relations_between_entity_mentions_via_graph_neural_networks_for_domainspecific_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
asking_the_crowd_question_analysis_evaluation_and_generation_for_open_discussion_on_online_forums,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
selfregulation_employing_a_generative_adversarial_network_to_improve_event_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ampere_amraware_prefix_for_generationbased_event_argument_extraction_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
making_large_language_models_better_data_creators,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.948,lee-etal-2023-making,"Dong-Ho Lee, Jay Pujara, Mohit Sewak, Ryen White, and Sujay Jauhar. 2023. Making Large Language Models Better Data Creators. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15349–15360, Singapore. Association for Computational Linguistics."
dimension_reduction_for_efficient_dense_retrieval_via_conditional_autoencoder,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
contextaware_embedding_for_targeted_aspectbased_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
grammatical_sequence_prediction_for_realtime_neural_semantic_parsing,August,2024.0,Findings,https://aclanthology.org/2024.findings-acl.225,chen-etal-2024-unsupervised,"Junjie Chen, Xiangheng He, Danushka Bollegala, and Yusuke Miyao. 2024. Unsupervised Parsing by Searching for Frequent Word Sequences among Sentences with Equivalent Predicate-Argument Structures. In Findings of the Association for Computational Linguistics: ACL 2024, pages 3760–3772, Bangkok, Thailand. Association for Computational Linguistics."
a_modular_tool_for_automatic_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
faa_finegrained_attention_alignment_for_cascade_document_ranking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
secondorder_neural_dependency_parsing_with_message_passing_and_endtoend_training,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
personalized_review_generation_by_expanding_phrases_and_attending_on_aspectaware_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
investigating_a_generic_paraphrasebased_approach_for_relation_extraction,April,2006.0,EACL,https://aclanthology.org/E06-1052,romano-etal-2006-investigating,"Lorenza Romano, Milen Kouylekov, Idan Szpektor, Ido Dagan, and Alberto Lavelli. 2006. Investigating a Generic Paraphrase-Based Approach for Relation Extraction. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 409–416, Trento, Italy. Association for Computational Linguistics."
unknown_intent_detection_using_gaussian_mixture_model_with_an_application_to_zeroshot_intent_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unobserved_local_structures_make_compositional_generalization_hard,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.175,bogin-etal-2022-unobserved,"Ben Bogin, Shivanshu Gupta, and Jonathan Berant. 2022. Unobserved Local Structures Make Compositional Generalization Hard. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 2731–2747, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
learning_event_graph_knowledge_for_abductive_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sandi_storyandimages_alignment,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.85,nag-chowdhury-etal-2021-sandi,"Sreyasi Nag Chowdhury, Simon Razniewski, and Gerhard Weikum. 2021. SANDI: Story-and-Images Alignment. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 989–999, Online. Association for Computational Linguistics."
unraveling_antonyms_word_vectors_through_a_siameselike_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
textbook_question_answering_with_multimodal_context_graph_understanding_and_selfsupervised_openset_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reasoning_over_semanticlevel_graph_for_fact_checking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
euphemistic_abuse__a_new_dataset_and_classification_experiments_for_implicitly_abusive_language,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.1012,wiegand-etal-2023-euphemistic,"Michael Wiegand, Jana Kampfmeier, Elisabeth Eder, and Josef Ruppenhofer. 2023. Euphemistic Abuse – A New Dataset and Classification Experiments for Implicitly Abusive Language. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16280–16297, Singapore. Association for Computational Linguistics."
unleashing_the_power_of_discourseenhanced_transformers_for_propaganda_detection,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.87,chernyavskiy-etal-2024-unleashing,"Alexander Chernyavskiy, Dmitry Ilvovsky, and Preslav Nakov. 2024. Unleashing the Power of Discourse-Enhanced Transformers for Propaganda Detection. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1452–1462, St. Julian’s, Malta. Association for Computational Linguistics."
dexperts_decodingtime_controlled_text_generation_with_experts_and_antiexperts,August,2021.0,,https://aclanthology.org/2021.acl-long.522,liu-etal-2021-dexperts,"Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, and Yejin Choi. 2021. DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 6691–6706, Online. Association for Computational Linguistics."
rule_filtering_by_pattern_for_efficient_hierarchical_translation,March,2009.0,EACL,https://aclanthology.org/E09-1044,iglesias-etal-2009-rule,"Gonzalo Iglesias, Adrià de Gispert, Eduardo R. Banga, and William Byrne. 2009. Rule Filtering by Pattern for Efficient Hierarchical Translation. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 380–388, Athens, Greece. Association for Computational Linguistics."
crossdomain_generalization_for_amr_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generating_hierarchical_explanations_on_text_classification_via_feature_interaction_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
in_and_outofdomain_text_adversarial_robustness_via_label_smoothing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_possible_the_plausible_and_the_desirable_eventbased_modality_detection_for_language_processing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
speechtext_pretraining_for_spoken_dialog_understanding_with_explicit_crossmodal_alignment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multitask_instructionbased_prompting_for_fallacy_recognition,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.560,alhindi-etal-2022-multitask,"Tariq Alhindi, Tuhin Chakrabarty, Elena Musi, and Smaranda Muresan. 2022. Multitask Instruction-based Prompting for Fallacy Recognition. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8172–8187, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
spanproto_a_twostage_spanbased_prototypical_network_for_fewshot_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
temporalwiki_a_lifelong_benchmark_for_training_and_evaluating_everevolving_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
textfusion_privacypreserving_pretrained_model_inference_via_token_fusion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
kogito_a_commonsense_knowledge_inference_toolkit,May,2023.0,EACL,https://aclanthology.org/2023.eacl-demo.12,ismayilzada-bosselut-2023-kogito,"Mete Ismayilzada and Antoine Bosselut. 2023. kogito: A Commonsense Knowledge Inference Toolkit. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 96–104, Dubrovnik, Croatia. Association for Computational Linguistics."
multimodal_bias_introducing_a_framework_for_stereotypical_bias_assessment_beyond_gender_and_race_in_visionlanguage_models,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.126,janghorbani-de-melo-2023-multi,"Sepehr Janghorbani and Gerard De Melo. 2023. Multi-Modal Bias: Introducing a Framework for Stereotypical Bias Assessment beyond Gender and Race in Vision–Language Models. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1725–1735, Dubrovnik, Croatia. Association for Computational Linguistics."
questioning_the_validity_of_summarization_datasets_and_improving_their_factual_consistency,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dialogue_response_selection_with_hierarchical_curriculum_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_how_to_active_learn_by_dreaming,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
relations_between_comprehensibility_and_adequacy_errors_in_machine_translation_output,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
can_language_models_learn_analogical_reasoning_investigating_training_objectives_and_comparisons_to_human_performance,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.1022,petersen-van-der-plas-2023-language,"Molly Petersen and Lonneke van der Plas. 2023. Can language models learn analogical reasoning? Investigating training objectives and comparisons to human performance. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16414–16425, Singapore. Association for Computational Linguistics."
multitask_pretraining_of_modular_prompt_for_chinese_fewshot_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
layout__language_preliminary_experiments_in_assigning_logical_structure_to_table_cells,March,1997.0,ANLP,https://aclanthology.org/A97-1032,hurst-douglas-1997-layout,"Matthew Hurst and Shona Douglas. 1997. Layout & Language: Preliminary experiments in assigning logical structure to table cells. In Fifth Conference on Applied Natural Language Processing, pages 217–220, Washington, DC, USA. Association for Computational Linguistics."
attention_guided_graph_convolutional_networks_for_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sparse_teachers_can_be_dense_with_knowledge,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.258,yang-etal-2022-sparse,"Yi Yang, Chen Zhang, and Dawei Song. 2022. Sparse Teachers Can Be Dense with Knowledge. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3904–3915, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
vocabulary_pyramid_network_multipass_encoding_and_decoding_with_multilevel_vocabularies_for_response_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_knowledgebased_representation_for_crosslanguage_document_retrieval_and_categorization,April,2014.0,EACL,https://aclanthology.org/E14-1044,franco-salvador-etal-2014-knowledge,"Marc Franco-Salvador, Paolo Rosso, and Roberto Navigli. 2014. A Knowledge-based Representation for Cross-Language Document Retrieval and Categorization. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 414–423, Gothenburg, Sweden. Association for Computational Linguistics."
characterlevel_whitebox_adversarial_attacks_against_transformers_via_attachable_subwords_substitution,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.522,liu-etal-2022-character,"Aiwei Liu, Honghai Yu, Xuming Hu, Shu’ang Li, Li Lin, Fukun Ma, Yawen Yang, and Lijie Wen. 2022. Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7664–7676, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
on_orthogonality_constraints_for_transformers,August,2021.0,,https://aclanthology.org/2021.acl-short.48,zhang-etal-2021-orthogonality,"Aston Zhang, Alvin Chan, Yi Tay, Jie Fu, Shuohang Wang, Shuai Zhang, Huajie Shao, Shuochao Yao, and Roy Ka-Wei Lee. 2021. On Orthogonality Constraints for Transformers. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 375–382, Online. Association for Computational Linguistics."
hints_on_the_data_for_language_modeling_of_synthetic_languages_with_transformers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
distributed_document_and_phrase_coembeddings_for_descriptive_clustering,April,2017.0,EACL,https://aclanthology.org/E17-1093,sato-etal-2017-distributed,"Motoki Sato, Austin J. Brockmeier, Georgios Kontonatsios, Tingting Mu, John Y. Goulermas, Jun’ichi Tsujii, and Sophia Ananiadou. 2017. Distributed Document and Phrase Co-embeddings for Descriptive Clustering. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 991–1001, Valencia, Spain. Association for Computational Linguistics."
incorporating_stock_market_signals_for_twitter_stance_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
conan__counter_narratives_through_nichesourcing_a_multilingual_dataset_of_responses_to_fight_online_hate_speech,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modeling_consistency_preference_via_lexical_chains_for_documentlevel_neural_machine_translation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.424,lyu-etal-2022-modeling,"Xinglin Lyu, Junhui Li, Shimin Tao, Hao Yang, Ying Qin, and Min Zhang. 2022. Modeling Consistency Preference via Lexical Chains for Document-level Neural Machine Translation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6312–6326, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
speak_memory_an_archaeology_of_books_known_to_chatgptgpt4,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
addressing_semantic_drift_in_generative_question_answering_with_auxiliary_extraction,August,2021.0,,https://aclanthology.org/2021.acl-short.118,li-etal-2021-addressing-semantic,"Chenliang Li, Bin Bi, Ming Yan, Wei Wang, and Songfang Huang. 2021. Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 942–947, Online. Association for Computational Linguistics."
a_study_of_nonautoregressive_model_for_sequence_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
syntactic_data_augmentation_increases_robustness_to_inference_heuristics,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multifacet_universal_schema,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.77,paul-etal-2021-multi,"Rohan Paul, Haw-Shiuan Chang, and Andrew McCallum. 2021. Multi-facet Universal Schema. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 909–919, Online. Association for Computational Linguistics."
you_sound_just_like_your_father_commercial_machine_translation_systems_include_stylistic_biases,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
theoremqa_a_theoremdriven_question_answering_dataset,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
expbert_representation_engineering_with_natural_language_explanations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
smart_paradigms_and_the_predictability_and_complexity_of_inflectional_morphology,April,2012.0,EACL,https://aclanthology.org/E12-1066,detrez-ranta-2012-smart,"Grégoire Détrez and Aarne Ranta. 2012. Smart Paradigms and the Predictability and Complexity of Inflectional Morphology. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 645–653, Avignon, France. Association for Computational Linguistics."
named_entity_recognition_using_hundreds_of_thousands_of_features,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adatag_multiattribute_value_extraction_from_product_profiles_with_adaptive_decoding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
e2e_spoken_entity_extraction_for_virtual_agents,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.54,singla-etal-2023-e2e,"Karan Singla, Yeon-Jun Kim, and Srinivas Bangalore. 2023. E2E Spoken Entity Extraction for Virtual Agents. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 567–574, Singapore. Association for Computational Linguistics."
dtca_decision_treebased_coattention_networks_for_explainable_claim_verification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
diffusionbert_improving_generative_masked_language_models_with_diffusion_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
memorybased_invariance_learning_for_outofdomain_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_faithful_representations_of_causal_graphs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
wordflow_social_prompt_engineering_for_large_language_models,August,2024.0,ACL,https://aclanthology.org/2024.acl-demos.5,wang-etal-2024-wordflow,"Zijie Wang, Aishwarya Chakravarthy, David Munechika, and Duen Horng Chau. 2024. Wordflow: Social Prompt Engineering for Large Language Models. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 42–50, Bangkok, Thailand. Association for Computational Linguistics."
fantom_a_benchmark_for_stresstesting_machine_theory_of_mind_in_interactions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
autotinybert_automatic_hyperparameter_optimization_for_efficient_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
edit_machines_for_robust_multimodal_language_processing,April,2006.0,EACL,https://aclanthology.org/E06-1046,bangalore-johnston-2006-edit,"Srinivas Bangalore and Michael Johnston. 2006. Edit Machines for Robust Multimodal Language Processing. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 361–368, Trento, Italy. Association for Computational Linguistics."
performanceefficiency_tradeoffs_in_adapting_language_models_to_text_classification_tasks,November,2022.0,,https://aclanthology.org/2022.aacl-short.31,aina-etal-2022-performance,"Laura Aina, Nikos Voskarides, and Roi Blanco. 2022. Performance-Efficiency Trade-Offs in Adapting Language Models to Text Classification Tasks. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 244–253, Online only. Association for Computational Linguistics."
conversing_by_reading_contentful_neural_conversation_with_ondemand_machine_reading,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
graphbased_fake_news_detection_using_a_summarization_technique,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.287,kim-ko-2021-graph,"Gihwan Kim and Youngjoong Ko. 2021. Graph-based Fake News Detection using a Summarization Technique. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3276–3280, Online. Association for Computational Linguistics."
flow_matching_for_conditional_text_generation_in_a_few_sampling_steps,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.33,hu-etal-2024-flow,"Vincent Hu, Di Wu, Yuki Asano, Pascal Mettes, Basura Fernando, Björn Ommer, and Cees Snoek. 2024. Flow Matching for Conditional Text Generation in a Few Sampling Steps. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 380–392, St. Julian’s, Malta. Association for Computational Linguistics."
unsupervised_training_for_large_vocabulary_translation_using_sparse_lexicon_and_word_classes,April,2017.0,EACL,https://aclanthology.org/E17-2103,kim-etal-2017-unsupervised,"Yunsu Kim, Julian Schamper, and Hermann Ney. 2017. Unsupervised Training for Large Vocabulary Translation Using Sparse Lexicon and Word Classes. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 650–656, Valencia, Spain. Association for Computational Linguistics."
efficient_textbased_reinforcement_learning_by_jointly_leveraging_state_and_commonsense_graph_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_automating_healthcare_question_answering_in_a_noisy_multilingual_lowresource_setting,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
graphtosequence_learning_using_gated_graph_neural_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
label_semantic_aware_pretraining_for_fewshot_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multimodal_sentiment_detection_based_on_multichannel_graph_neural_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_transparent_framework_for_evaluating_unintended_demographic_bias_in_word_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
babywalk_going_farther_in_visionandlanguage_navigation_by_taking_baby_steps,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generative_text_modeling_through_short_run_inference,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.98,pang-etal-2021-generative,"Bo Pang, Erik Nijkamp, Tian Han, and Ying Nian Wu. 2021. Generative Text Modeling through Short Run Inference. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1156–1165, Online. Association for Computational Linguistics."
authorship_attribution_of_late_19th_century_novels_using_ganbert,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pro3gres_parser_in_the_conll_domain_adaptation_shared_task,June,2007.0,,https://aclanthology.org/D07-1128,schneider-etal-2007-pro3gres,"Gerold Schneider, Kaarel Kaljurand, Fabio Rinaldi, and Tobias Kuhn. 2007. Pro3Gres Parser in the CoNLL Domain Adaptation Shared Task. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 1161–1165, Prague, Czech Republic. Association for Computational Linguistics."
visual_semantic_parsing_from_images_to_abstract_meaning_representation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
peeking_inside_the_black_box_a_commonsenseaware_generative_framework_for_explainable_complaint_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
continual_fewshot_relation_learning_via_embedding_space_regularization_and_data_augmentation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
parsing_universal_dependencies_without_training,April,2017.0,EACL,https://aclanthology.org/E17-1022,martinez-alonso-etal-2017-parsing,"Héctor Martínez Alonso, Željko Agić, Barbara Plank, and Anders Søgaard. 2017. Parsing Universal Dependencies without training. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 230–240, Valencia, Spain. Association for Computational Linguistics."
scovist_social_interaction_commonsense_knowledgebased_visual_storytelling,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.96,wang-etal-2024-sco,"Eileen Wang, Caren Han, and Josiah Poon. 2024. SCO-VIST: Social Interaction Commonsense Knowledge-based Visual Storytelling. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1602–1616, St. Julian’s, Malta. Association for Computational Linguistics."
mmekg_multimodal_event_knowledge_graph_towards_universal_representation_across_modalities,May,2022.0,ACL,https://aclanthology.org/2022.acl-demo.23,ma-etal-2022-mmekg,"Yubo Ma, Zehao Wang, Mukai Li, Yixin Cao, Meiqi Chen, Xinze Li, Wenqi Sun, Kunquan Deng, Kun Wang, Aixin Sun, and Jing Shao. 2022. MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 231–239, Dublin, Ireland. Association for Computational Linguistics."
tigs_an_inference_algorithm_for_text_infilling_with_gradient_search,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crossdomain_ner_using_crossdomain_language_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reliability_testing_for_natural_language_processing_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generalized_chart_constraints_for_efficient_pcfg_and_tag_parsing,July,2018.0,ACL,https://aclanthology.org/P18-2099,grunewald-etal-2018-generalized,"Stefan Grünewald, Sophie Henning, and Alexander Koller. 2018. Generalized chart constraints for efficient PCFG and TAG parsing. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 626–631, Melbourne, Australia. Association for Computational Linguistics."
procs__an_instancebased_prompt_composition_technique_for_codeswitched_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
engage_the_public_poll_question_generation_for_social_media_posts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
teaching_small_language_models_to_reason,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
convosumm_conversation_summarization_benchmark_and_improved_abstractive_summarization_with_argument_mining,August,2021.0,,https://aclanthology.org/2021.acl-long.535,fabbri-etal-2021-convosumm,"Alexander Fabbri, Faiaz Rahman, Imad Rizvi, Borui Wang, Haoran Li, Yashar Mehdad, and Dragomir Radev. 2021. ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 6866–6880, Online. Association for Computational Linguistics."
saving_dense_retriever_from_shortcut_dependency_in_conversational_search,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.701,kim-kim-2022-saving,"Sungdong Kim and Gangwoo Kim. 2022. Saving Dense Retriever from Shortcut Dependency in Conversational Search. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10278–10287, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
consistent_text_categorization_using_data_augmentation_in_ecommerce,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.30,avigdor-etal-2023-consistent,"Noa Avigdor, Guy Horowitz, Ariel Raviv, and Stav Yanovsky Daye. 2023. Consistent Text Categorization using Data Augmentation in e-Commerce. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 313–321, Toronto, Canada. Association for Computational Linguistics."
multigrained_knowledge_retrieval_for_endtoend_taskoriented_dialog,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_personal_name_disambiguation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semisupervised_user_geolocation_via_graph_convolutional_networks,July,2018.0,ACL,https://aclanthology.org/P18-1187,rahimi-etal-2018-semi,"Afshin Rahimi, Trevor Cohn, and Timothy Baldwin. 2018. Semi-supervised User Geolocation via Graph Convolutional Networks. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2009–2019, Melbourne, Australia. Association for Computational Linguistics."
gender_gap_in_natural_language_processing_research_disparities_in_authorship_and_citations,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.702,mohammad-2020-gender,"Saif M. Mohammad. 2020. Gender Gap in Natural Language Processing Research: Disparities in Authorship and Citations. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 7860–7870, Online. Association for Computational Linguistics."
promptda_labelguided_data_augmentation_for_promptbased_few_shot_learners,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.41,chen-shu-2023-promptda,"Canyu Chen and Kai Shu. 2023. PromptDA: Label-guided Data Augmentation for Prompt-based Few Shot Learners. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 562–574, Dubrovnik, Croatia. Association for Computational Linguistics."
comparing_methods_for_deriving_intensity_scores_for_adjectives,April,2014.0,EACL,https://aclanthology.org/E14-4023,ruppenhofer-etal-2014-comparing,"Josef Ruppenhofer, Michael Wiegand, and Jasper Brandes. 2014. Comparing methods for deriving intensity scores for adjectives. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 117–122, Gothenburg, Sweden. Association for Computational Linguistics."
a_federated_approach_for_hate_speech_detection,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.237,gala-etal-2023-federated,"Jay Gala, Deep Gandhi, Jash Mehta, and Zeerak Talat. 2023. A Federated Approach for Hate Speech Detection. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3248–3259, Dubrovnik, Croatia. Association for Computational Linguistics."
cuhk_at_mrp_2019_transitionbased_parser_with_crossframework_variablearity_resolve_action,November,2019.0,CoNLL,https://aclanthology.org/K19-2010,lai-etal-2019-cuhk,"Sunny Lai, Chun Hei Lo, Kwong Sak Leung, and Yee Leung. 2019. CUHK at MRP 2019: Transition-Based Parser with Cross-Framework Variable-Arity Resolve Action. In Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning, pages 104–113, Hong Kong. Association for Computational Linguistics."
prose_a_pronoun_omission_solution_for_chineseenglish_spoken_language_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unificationbased_reconstruction_of_multihop_explanations_for_science_questions,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.15,valentino-etal-2021-unification,"Marco Valentino, Mokanarangan Thayaparan, and André Freitas. 2021. Unification-based Reconstruction of Multi-hop Explanations for Science Questions. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 200–211, Online. Association for Computational Linguistics."
qtsumm_queryfocused_summarization_over_tabular_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
linearizing_transformer_with_keyvalue_memory,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.24,zhang-cai-2022-linearizing,"Yizhe Zhang and Deng Cai. 2022. Linearizing Transformer with Key-Value Memory. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 346–359, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
exploring_data_augmentation_in_neural_drstotext_generation,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.132,amin-etal-2024-exploring,"Muhammad Saad Amin, Luca Anselma, and Alessandro Mazzei. 2024. Exploring Data Augmentation in Neural DRS-to-Text Generation. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2164–2178, St. Julian’s, Malta. Association for Computational Linguistics."
encoderdecoder_models_for_latent_phonological_representations_of_words,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
commonsense_knowledge_in_word_associations_and_conceptnet,November,2021.0,CoNLL,https://aclanthology.org/2021.conll-1.38,liu-etal-2021-commonsense,"Chunhua Liu, Trevor Cohn, and Lea Frermann. 2021. Commonsense Knowledge in Word Associations and ConceptNet. In Proceedings of the 25th Conference on Computational Natural Language Learning, pages 481–495, Online. Association for Computational Linguistics."
better_than_average_paired_evaluation_of_nlp_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
stemm_selflearning_with_speechtext_manifold_mixup_for_speech_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
why_do_you_feel_this_way_summarizing_triggers_of_emotions_in_social_media_posts,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.642,zhan-etal-2022-feel,"Hongli Zhan, Tiberiu Sosea, Cornelia Caragea, and Junyi Jessy Li. 2022. Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9436–9453, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
xdbert_distilling_visual_information_to_bert_from_crossmodal_systems_to_improve_language_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reasoning_over_entityactionlocation_graph_for_procedural_text_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
going_beyond_sentence_embeddings_a_tokenlevel_matching_algorithm_for_calculating_semantic_textual_similarity,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_languageindependent_and_compositional_model_for_personality_trait_recognition_from_short_texts,April,2017.0,EACL,https://aclanthology.org/E17-1071,liu-etal-2017-language,"Fei Liu, Julien Perez, and Scott Nowson. 2017. A Language-independent and Compositional Model for Personality Trait Recognition from Short Texts. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 754–764, Valencia, Spain. Association for Computational Linguistics."
a_comparison_of_merging_strategies_for_translation_of_german_compounds,April,2009.0,EACL,https://aclanthology.org/E09-3008,stymne-2009-comparison,"Sara Stymne. 2009. A Comparison of Merging Strategies for Translation of German Compounds. In Proceedings of the Student Research Workshop at EACL 2009, pages 61–69, Athens, Greece. Association for Computational Linguistics."
grounding_language_with_points_and_paths_in_continuous_spaces,June,2014.0,CoNLL,https://aclanthology.org/W14-1607,andreas-klein-2014-grounding,"Jacob Andreas and Dan Klein. 2014. Grounding Language with Points and Paths in Continuous Spaces. In Proceedings of the Eighteenth Conference on Computational Natural Language Learning, pages 58–67, Ann Arbor, Michigan. Association for Computational Linguistics."
crowdsourcing_and_aggregating_nested_markable_annotations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_topictoessay_generation_with_external_commonsense_knowledge,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
does_bert_know_that_the_isa_relation_is_transitive,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.11,lin-ng-2022-bert,"Ruixi Lin and Hwee Tou Ng. 2022. Does BERT Know that the IS-A Relation Is Transitive?. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 94–99, Dublin, Ireland. Association for Computational Linguistics."
modelling_metaphor_with_attributebased_semantics,April,2017.0,EACL,https://aclanthology.org/E17-2084,bulat-etal-2017-modelling,"Luana Bulat, Stephen Clark, and Ekaterina Shutova. 2017. Modelling metaphor with attribute-based semantics. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 523–528, Valencia, Spain. Association for Computational Linguistics."
factored_markov_translation_with_robust_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adaptive_compression_of_word_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
clevrimplicit_a_diagnostic_dataset_for_implicit_reasoning_in_referring_expression_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mmgcn_multimodal_fusion_via_deep_graph_convolution_network_for_emotion_recognition_in_conversation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_lowresource_named_entity_recognition_with_graph_propagated_data_augmentation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_networkbased_endtoend_trainable_taskoriented_dialogue_system,April,2017.0,EACL,https://aclanthology.org/E17-1042,wen-etal-2017-network,"Tsung-Hsien Wen, David Vandyke, Nikola Mrkšić, Milica Gašić, Lina M. Rojas-Barahona, Pei-Hao Su, Stefan Ultes, and Steve Young. 2017. A Network-based End-to-End Trainable Task-oriented Dialogue System. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 438–449, Valencia, Spain. Association for Computational Linguistics."
stretchvst_getting_flexible_with_visual_stories,August,2021.0,,https://aclanthology.org/2021.acl-demo.42,hsu-etal-2021-stretch,"Chi-yang Hsu, Yun-Wei Chu, Tsai-Lun Yang, Ting-Hao Huang, and Lun-Wei Ku. 2021. Stretch-VST: Getting Flexible With Visual Stories. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations, pages 356–362, Online. Association for Computational Linguistics."
factorising_meaning_and_form_for_intentpreserving_paraphrasing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
syntactic_inductive_bias_in_transformer_language_models_especially_helpful_for_lowresource_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
obtaining_reliable_human_ratings_of_valence_arousal_and_dominance_for_20000_english_words,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
noise_mitigation_for_neural_entity_typing_and_relation_extraction,April,2017.0,EACL,https://aclanthology.org/E17-1111,yaghoobzadeh-etal-2017-noise,"Yadollah Yaghoobzadeh, Heike Adel, and Hinrich Schütze. 2017. Noise Mitigation for Neural Entity Typing and Relation Extraction. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 1183–1194, Valencia, Spain. Association for Computational Linguistics."
minichain_a_small_library_for_coding_with_large_language_models,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-demo.27,rush-2023-minichain,"Alexander Rush. 2023. MiniChain: A Small Library for Coding with Large Language Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 311–317, Singapore. Association for Computational Linguistics."
the_university_of_illinois_system_in_the_conll2013_shared_task,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mitigating_temporal_misalignment_by_discarding_outdated_facts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modeling_financial_analysts_decision_making_via_the_pragmatics_and_semantics_of_earnings_calls,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
doublebranch_multiattention_based_graph_neural_network_for_knowledge_graph_completion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
finedeval_finegrained_automatic_dialoguelevel_evaluation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.220,zhang-etal-2022-fined,"Chen Zhang, Luis Fernando D’Haro, Qiquan Zhang, Thomas Friedrichs, and Haizhou Li. 2022. FineD-Eval: Fine-grained Automatic Dialogue-Level Evaluation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3336–3355, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
facesensitive_imagetoemotionaltext_crossmodal_translation_for_multimodal_aspectbased_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unpaired_sentimenttosentiment_translation_a_cycled_reinforcement_learning_approach,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
babys_cothought_leveraging_large_language_models_for_enhanced_reasoning_in_compact_models,December,2023.0,CoNLL,https://aclanthology.org/2023.conll-babylm.13,zhang-etal-2023-babys,"Zheyu Zhang, Han Yang, Bolei Ma, David Rügamer, and Ercong Nie. 2023. Baby’s CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 158–170, Singapore. Association for Computational Linguistics."
every_child_should_have_parents_a_taxonomy_refinement_algorithm_based_on_hyperbolic_term_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
from_parseexecute_to_parseexecuterefine_improving_semantic_parser_for_complex_question_answering_over_knowledge_base,August,2024.0,Findings,https://aclanthology.org/2024.findings-acl.4,jiang-etal-2024-end,"Xiaotong Jiang, Zhongqing Wang, and Guodong Zhou. 2024. End-to-End Emotion Semantic Parsing. In Findings of the Association for Computational Linguistics: ACL 2024, pages 37–47, Bangkok, Thailand. Association for Computational Linguistics."
enhancing_language_model_with_unit_test_techniques_for_efficient_regular_expression_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
charspan_utilizing_lexical_similarity_to_enable_zeroshot_machine_translation_for_extremely_lowresource_languages,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.26,maurya-etal-2024-charspan,"Kaushal Maurya, Rahul Kejriwal, Maunendra Desarkar, and Anoop Kunchukuttan. 2024. CharSpan: Utilizing Lexical Similarity to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 294–310, St. Julian’s, Malta. Association for Computational Linguistics."
largescale_acquisition_of_lcsbased_lexicons_for_foreign_language_tutoring,March,1997.0,ANLP,https://aclanthology.org/A97-1021,dorr-1997-large,"Bonnie J. Dorr. 1997. Large-Scale Acquisition of LCS-Based Lexicons for Foreign Language Tutoring. In Fifth Conference on Applied Natural Language Processing, pages 139–146, Washington, DC, USA. Association for Computational Linguistics."
a_simple_repair_mechanism_can_alleviate_computational_demands_of_pragmatic_reasoning_simulations_and_complexity_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
transferable_multidomain_state_generator_for_taskoriented_dialogue_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_multitask_stance_detection_with_multitask_interaction_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
combining_denoising_autoencoders_with_contrastive_learning_to_finetune_transformer_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_interpretable_clinical_diagnosis_with_bayesian_network_ensembles_stacked_on_entityaware_cnns,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
syntactically_supervised_transformers_for_faster_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_mix_example_interpolation_improves_multilingual_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
revisiting_the_context_window_for_crosslingual_word_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
underspecification_in_scene_descriptiontodepiction_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
assessment_of_pretrained_models_across_languages_and_grammars,November,2023.0,,https://aclanthology.org/2023.ijcnlp-main.23,munoz-ortiz-etal-2023-assessment,"Alberto Muñoz-Ortiz, David Vilares, and Carlos Gómez-Rodríguez. 2023. Assessment of Pre-Trained Models Across Languages and Grammars. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 359–373, Nusa Dua, Bali. Association for Computational Linguistics."
history_semantic_graph_enhanced_conversational_kbqa_with_temporal_information_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tart_improved_fewshot_text_classification_using_taskadaptive_reference_transformation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
answering_unanswered_questions_through_semantic_reformulations_in_spoken_qa,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.70,faustini-etal-2023-answering,"Pedro Faustini, Zhiyu Chen, Besnik Fetahu, Oleg Rokhlenko, and Shervin Malmasi. 2023. Answering Unanswered Questions through Semantic Reformulations in Spoken QA. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 729–743, Toronto, Canada. Association for Computational Linguistics."
dialog_state_tracking_a_machine_reading_approach_using_memory_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
blmagrf_a_new_french_benchmark_to_investigate_generalization_of_agreement_in_neural_networks,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.99,an-etal-2023-blm,"Aixiu An, Chunyang Jiang, Maria A. Rodriguez, Vivi Nastase, and Paola Merlo. 2023. BLM-AgrF: A New French Benchmark to Investigate Generalization of Agreement in Neural Networks. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1363–1374, Dubrovnik, Croatia. Association for Computational Linguistics."
word_sense_discrimination_by_clustering_contexts_in_vector_and_similarity_spaces,May 6 - May 7,2004.0,CoNLL,https://aclanthology.org/W04-2406,purandare-pedersen-2004-word,"Amruta Purandare and Ted Pedersen. 2004. Word Sense Discrimination by Clustering Contexts in Vector and Similarity Spaces. In Proceedings of the Eighth Conference on Computational Natural Language Learning (CoNLL-2004) at HLT-NAACL 2004, pages 41–48, Boston, Massachusetts, USA. Association for Computational Linguistics."
not_all_layers_are_equally_as_important_every_layer_counts_bert,December,2023.0,CoNLL,https://aclanthology.org/2023.conll-babylm.20,georges-gabriel-charpentier-samuel-2023-layers,"Lucas Georges Gabriel Charpentier and David Samuel. 2023. Not all layers are equally as important: Every Layer Counts BERT. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 238–252, Singapore. Association for Computational Linguistics."
moving_down_the_long_tail_of_word_sense_disambiguation_with_gloss_informed_biencoders,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
edin_an_endtoend_benchmark_and_pipeline_for_unknown_entity_discovery_and_indexing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nuwaxl_diffusion_over_diffusion_for_extremely_long_video_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_importance_of_effectively_adapting_pretrained_language_models_for_active_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_metaphoric_paraphrase_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modeling_category_structures_with_a_kernel_function,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
course_concept_expansion_in_moocs_with_external_knowledge_and_interactive_game,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_simple_but_effective_method_to_incorporate_multiturn_context_with_bert_for_conversational_machine_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
answering_ambiguous_questions_via_iterative_prompting,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
including_signed_languages_in_natural_language_processing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
do_all_languages_cost_the_same_tokenization_in_the_era_of_commercial_language_models,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.614,ahia-etal-2023-languages,"Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David Mortensen, Noah Smith, and Yulia Tsvetkov. 2023. Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 9904–9923, Singapore. Association for Computational Linguistics."
unsupervised_opinion_summarization_with_noising_and_denoising,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
informative_and_controllable_opinion_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_textual_dataset_for_situated_proactive_response_selection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
compositional_generalization_without_trees_using_multiset_tagging_and_latent_permutations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
contextsituated_pun_generation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.306,sun-etal-2022-context,"Jiao Sun, Anjali Narayan-Chen, Shereen Oraby, Shuyang Gao, Tagyoung Chung, Jing Huang, Yang Liu, and Nanyun Peng. 2022. Context-Situated Pun Generation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4635–4648, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
neural_machine_translation_with_reordering_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
leveraging_structured_metadata_for_improving_question_answering_on_the_web,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
competencebased_multimodal_curriculum_learning_for_medical_report_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
paraphrase_augmented_taskoriented_dialog_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
discourse_type_clustering_using_pos_ngram_profiles_and_highdimensional_embeddings,April,2012.0,EACL,https://aclanthology.org/E12-3007,cocco-2012-discourse,"Christelle Cocco. 2012. Discourse Type Clustering using POS n-gram Profiles and High-Dimensional Embeddings. In Proceedings of the Student Research Workshop at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 55–63, Avignon, France. Association for Computational Linguistics."
passive_diagnosis_incorporating_the_phq4_for_depression_and_anxiety,August,2019.0,ACL,https://aclanthology.org/W19-3205,delahunty-etal-2019-passive,"Fionn Delahunty, Robert Johansson, and Mihael Arcan. 2019. Passive Diagnosis Incorporating the PHQ-4 for Depression and Anxiety. In Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task, pages 40–46, Florence, Italy. Association for Computational Linguistics."
a_multiaxis_annotation_scheme_for_event_temporal_relations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_segmentation_for_technical_support_problems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
yanmtt_yet_another_neural_machine_translation_toolkit,July,2023.0,ACL,https://aclanthology.org/2023.acl-demo.24,dabre-etal-2023-yanmtt,"Raj Dabre, Diptesh Kanojia, Chinmay Sawant, and Eiichiro Sumita. 2023. YANMTT: Yet Another Neural Machine Translation Toolkit. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 257–263, Toronto, Canada. Association for Computational Linguistics."
sparqltotext_question_generation_for_knowledgebased_conversational_applications,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
meeting_the_needs_of_lowresource_languages_the_value_of_automatic_alignments_via_pretrained_models,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.280,ebrahimi-etal-2023-meeting,"Abteen Ebrahimi, Arya D. McCarthy, Arturo Oncevay, John E. Ortega, Luis Chiruzzo, Gustavo Giménez-Lugo, Rolando Coto-Solano, and Katharina Kann. 2023. Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3912–3926, Dubrovnik, Croatia. Association for Computational Linguistics."
debiased_contrastive_learning_of_unsupervised_sentence_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crossdomain_generalization_of_neural_constituency_parsers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
morphological_reinflection_in_context_cu_boulders_submission_to_conllsigmorphon_2018_shared_task,October,2018.0,CoNLL,https://aclanthology.org/K18-3010,liu-etal-2018-morphological,"Ling Liu, Ilamvazhuthy Subbiah, Adam Wiemerslage, Jonathan Lilley, and Sarah Moeller. 2018. Morphological Reinflection in Context: CU Boulder’s Submission to CoNLL–SIGMORPHON 2018 Shared Task. In Proceedings of the CoNLL–SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection, pages 86–92, Brussels. Association for Computational Linguistics."
manytoenglish_machine_translation_tools_data_and_pretrained_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
wordforword_glossing_with_contextually_similar_words,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multisource_semantic_graphbased_multimodal_sarcasm_explanation_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
knowledge_supports_visual_language_grounding_a_case_study_on_colour_terms,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
codraw_collaborative_drawing_as_a_testbed_for_grounded_goaldriven_communication,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
attend_translate_and_summarize_an_efficient_method_for_neural_crosslingual_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generalizing_natural_language_analysis_through_spanrelation_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
domainagnostic_neural_architecture_for_class_incremental_continual_learning_in_document_processing_platform,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.51,wojcik-etal-2023-domain,"Mateusz Wójcik, Witold Kościukiewicz, Mateusz Baran, Tomasz Kajdanowicz, and Adam Gonczarek. 2023. Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 527–537, Toronto, Canada. Association for Computational Linguistics."
optimizing_deeper_transformers_on_small_datasets,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
merging_generated_and_retrieved_knowledge_for_opendomain_qa,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neurox_library_for_neuron_analysis_of_deep_nlp_models,July,2023.0,ACL,https://aclanthology.org/2023.acl-demo.21,dalvi-etal-2023-neurox,"Fahim Dalvi, Hassan Sajjad, and Nadir Durrani. 2023. NeuroX Library for Neuron Analysis of Deep NLP Models. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 226–234, Toronto, Canada. Association for Computational Linguistics."
beyond_englishcentric_bitexts_for_better_multilingual_language_representation_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
break_it_down_into_bts_basic_tiniest_subword_units_for_korean,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.472,kim-etal-2022-break,"Nayeon Kim, Jun-Hyung Park, Joon-Young Choi, Eojin Jeon, Youjin Kang, and SangKeun Lee. 2022. Break it Down into BTS: Basic, Tiniest Subword Units for Korean. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7007–7024, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
hunt_for_buried_treasures_extracting_unclaimed_embodiments_from_patent_specifications,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_latent_trees_with_stochastic_perturbations_and_differentiable_dynamic_programming,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
whitenedcse_whiteningbased_contrastive_learning_of_sentence_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nonautoregressive_text_editing_with_copyaware_latent_alignments,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_largescale_comprehensive_abusiveness_detection_dataset_with_multifaceted_labels_from_reddit,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
augmenting_a_german_morphological_database_by_dataintense_methods,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fakeflow_fake_news_detection_by_modeling_the_flow_of_affective_information,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.56,ghanem-etal-2021-fakeflow,"Bilal Ghanem, Simone Paolo Ponzetto, Paolo Rosso, and Francisco Rangel. 2021. FakeFlow: Fake News Detection by Modeling the Flow of Affective Information. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 679–689, Online. Association for Computational Linguistics."
watclaimcheck_a_new_dataset_for_claim_entailment_and_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
performance_confidence_estimation_for_automatic_summarization,March,2009.0,EACL,https://aclanthology.org/E09-1062,louis-nenkova-2009-performance,"Annie Louis and Ani Nenkova. 2009. Performance Confidence Estimation for Automatic Summarization. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 541–548, Athens, Greece. Association for Computational Linguistics."
sescore2_learning_text_generation_evaluation_via_synthesizing_realistic_mistakes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
eag_extract_and_generate_multiway_aligned_corpus_for_complete_multilingual_neural_machine_translation,May,2022.0,ACL,https://aclanthology.org/2022.acl-long.560,xu-etal-2022-eag,"Yulin Xu, Zhen Yang, Fandong Meng, and Jie Zhou. 2022. EAG: Extract and Generate Multi-way Aligned Corpus for Complete Multi-lingual Neural Machine Translation. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 8141–8153, Dublin, Ireland. Association for Computational Linguistics."
a_multilingual_benchmark_for_probing_negationawareness_with_minimal_pairs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multimodal_persona_based_generation_of_comic_dialogs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
i_beg_to_differ_a_study_of_constructive_disagreement_in_online_conversations,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.173,de-kock-vlachos-2021-beg,"Christine De Kock and Andreas Vlachos. 2021. I Beg to Differ: A study of constructive disagreement in online conversations. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2017–2027, Online. Association for Computational Linguistics."
an_unsupervised_multipletask_and_multipleteacher_model_for_crosslingual_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
features_for_detecting_hedge_cues,July,2010.0,CoNLL,https://aclanthology.org/W10-3020,shimizu-nakagawa-2010-features,"Nobuyuki Shimizu and Hiroshi Nakagawa. 2010. Features for Detecting Hedge Cues. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task, pages 138–143, Uppsala, Sweden. Association for Computational Linguistics."
recursive_neural_structural_correspondence_network_for_crossdomain_aspect_and_opinion_coextraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
word_alignment_by_finetuning_embeddings_on_parallel_corpora,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.181,dou-neubig-2021-word,"Zi-Yi Dou and Graham Neubig. 2021. Word Alignment by Fine-tuning Embeddings on Parallel Corpora. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2112–2128, Online. Association for Computational Linguistics."
incorporating_singletons_and_mentionbased_features_in_coreference_resolution_via_multitask_learning_for_better_generalization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
contextual_finetocoarse_distillation_for_coarsegrained_response_selection_in_opendomain_conversations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
systemlevel_natural_language_feedback,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.169,yuan-etal-2024-system,"Weizhe Yuan, Kyunghyun Cho, and Jason Weston. 2024. System-Level Natural Language Feedback. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2773–2789, St. Julian’s, Malta. Association for Computational Linguistics."
named_entity_recognition_through_classifier_combination,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
constraints_on_nonprojective_dependency_parsing,April,2006.0,EACL,https://aclanthology.org/E06-1010,nivre-2006-constraints,"Joakim Nivre. 2006. Constraints on Non-Projective Dependency Parsing. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 73–80, Trento, Italy. Association for Computational Linguistics."
paperrobot_incremental_draft_generation_of_scientific_ideas,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
appraising_the_potential_uses_and_harms_of_llms_for_medical_systematic_reviews,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.626,yun-etal-2023-appraising,"Hye Yun, Iain Marshall, Thomas Trikalinos, and Byron Wallace. 2023. Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 10122–10139, Singapore. Association for Computational Linguistics."
a_novel_cascade_binary_tagging_framework_for_relational_triple_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluation_by_association_a_systematic_study_of_quantitative_word_association_evaluation,April,2017.0,EACL,https://aclanthology.org/E17-1016,vulic-etal-2017-evaluation,"Ivan Vulić, Douwe Kiela, and Anna Korhonen. 2017. Evaluation by Association: A Systematic Study of Quantitative Word Association Evaluation. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 163–175, Valencia, Spain. Association for Computational Linguistics."
probing_toxic_content_in_large_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
detgpt_detect_what_you_need_via_reasoning,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.876,pi-etal-2023-detgpt,"Renjie Pi, Jiahui Gao, Shizhe Diao, Rui Pan, Hanze Dong, Jipeng Zhang, Lewei Yao, Jianhua Han, Hang Xu, Lingpeng Kong, and Tong Zhang. 2023. DetGPT: Detect What You Need via Reasoning. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 14172–14189, Singapore. Association for Computational Linguistics."
generating_structured_pseudo_labels_for_noiseresistant_zeroshot_video_sentence_localization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_iterative_text_revision_by_learning_where_to_edit_from_other_revision_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_faithfulness_by_augmenting_negative_summaries_from_fake_documents,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.816,wang-etal-2022-improving,"Tianshu Wang, Faisal Ladhak, Esin Durmus, and He He. 2022. Improving Faithfulness by Augmenting Negative Summaries from Fake Documents. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11913–11921, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
a_qualitybased_syntactic_template_retriever_for_syntacticallycontrolled_paraphrase_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
scaling_in_cognitive_modelling_a_multilingual_approach_to_human_reading_times,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
who_sides_with_whom_towards_computational_construction_of_discourse_networks_for_political_debates,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
in_neural_machine_translation_what_does_transfer_learning_transfer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
amr_dependency_parsing_with_a_typed_semantic_algebra,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_relation_alignment_for_calibrated_crossmodal_retrieval,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mirages_on_anthropomorphism_in_dialogue_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
embeddingbased_scientific_literature_discovery_in_a_text_editor_application,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
paradigm_paraphrase_diagnostics_through_grammar_matching,April,2014.0,EACL,https://aclanthology.org/E14-1021,weese-etal-2014-paradigm,"Jonathan Weese, Juri Ganitkevitch, and Chris Callison-Burch. 2014. PARADIGM: Paraphrase Diagnostics through Grammar Matching. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 192–201, Gothenburg, Sweden. Association for Computational Linguistics."
chinesebert_chinese_pretraining_enhanced_by_glyph_and_pinyin_information,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dependency_induction_through_the_lens_of_visual_perception,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
what_are_you_trying_to_do_semantic_typing_of_event_processes,November,2020.0,CoNLL,https://aclanthology.org/2020.conll-1.43,chen-etal-2020-trying,"Muhao Chen, Hongming Zhang, Haoyu Wang, and Dan Roth. 2020. What Are You Trying to Do? Semantic Typing of Event Processes. In Proceedings of the 24th Conference on Computational Natural Language Learning, pages 531–542, Online. Association for Computational Linguistics."
using_interpretation_methods_for_model_enhancement,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_auxiliary_task_boosted_multitask_learning_method_for_service_account_retrieval_with_limited_human_annotation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.50,yao-etal-2023-auxiliary,"Yuanzhou Yao, Zhao Zhang, Kaijia Yang, Huasheng Liang, Qiang Yan, and Yongjun Xu. 2023. An Auxiliary Task Boosted Multi-task Learning Method for Service Account Retrieval with Limited Human Annotation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 522–531, Singapore. Association for Computational Linguistics."
dyle_dynamic_latent_extraction_for_abstractive_longinput_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
toxigen_a_largescale_machinegenerated_dataset_for_adversarial_and_implicit_hate_speech_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
interactive_classification_by_asking_informative_questions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
construction_repetition_reduces_information_rate_in_dialogue,November,2022.0,,https://aclanthology.org/2022.aacl-main.51,giulianelli-etal-2022-construction,"Mario Giulianelli, Arabella Sinclair, and Raquel Fernández. 2022. Construction Repetition Reduces Information Rate in Dialogue. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 665–682, Online only. Association for Computational Linguistics."
stop_uploading_test_data_in_plain_text_practical_strategies_for_mitigating_data_contamination_by_evaluation_benchmarks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
judicious_selection_of_training_data_in_assisting_language_for_multilingual_neural_ner,July,2018.0,ACL,https://aclanthology.org/P18-2064,murthy-etal-2018-judicious,"Rudra Murthy, Anoop Kunchukuttan, and Pushpak Bhattacharyya. 2018. Judicious Selection of Training Data in Assisting Language for Multilingual Neural NER. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 401–406, Melbourne, Australia. Association for Computational Linguistics."
iterative_documentlevel_information_extraction_via_imitation_learning,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.136,chen-etal-2023-iterative,"Yunmo Chen, William Gantt, Weiwei Gu, Tongfei Chen, Aaron White, and Benjamin Van Durme. 2023. Iterative Document-level Information Extraction via Imitation Learning. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1858–1874, Dubrovnik, Croatia. Association for Computational Linguistics."
task_refinement_learning_for_improved_accuracy_and_stability_of_unsupervised_domain_adaptation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
freeal_towards_humanfree_active_learning_in_the_era_of_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ctcbased_nonautoregressive_speech_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
does_gpt3_grasp_metaphors_identifying_metaphor_mappings_with_generative_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fanoutqa_a_multihop_multidocument_question_answering_benchmark_for_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
using_metaknowledge_mined_from_identifiers_to_improve_intent_recognition_in_conversational_systems,August,2021.0,,https://aclanthology.org/2021.acl-long.545,pinhanez-etal-2021-using,"Claudio Pinhanez, Paulo Cavalin, Victor Henrique Alves Ribeiro, Ana Appel, Heloisa Candello, Julio Nogima, Mauro Pichiliani, Melina Guerra, Maira de Bayser, Gabriel Malfatti, and Henrique Ferreira. 2021. Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Conversational Systems. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 7014–7027, Online. Association for Computational Linguistics."
modeling_transitions_of_focal_entities_for_conversational_knowledge_base_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
incremental_generation_of_plural_descriptions_similarity_and_partitioning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rethinking_the_role_of_entity_type_in_relation_classification,November,2023.0,,https://aclanthology.org/2023.ijcnlp-main.24,dai-etal-2023-rethinking-role,"Xiang Dai, Sarvnaz Karimi, and Stephen Wan. 2023. Rethinking the Role of Entity Type in Relation Classification. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 374–384, Nusa Dua, Bali. Association for Computational Linguistics."
to_split_or_not_to_split_composing_compounds_in_contextual_vector_spaces,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
locationaware_visual_question_generation_with_lightweight_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
understanding_the_extent_to_which_content_quality_metrics_measure_the_information_quality_of_summaries,November,2021.0,CoNLL,https://aclanthology.org/2021.conll-1.24,deutsch-roth-2021-understanding,"Daniel Deutsch and Dan Roth. 2021. Understanding the Extent to which Content Quality Metrics Measure the Information Quality of Summaries. In Proceedings of the 25th Conference on Computational Natural Language Learning, pages 300–309, Online. Association for Computational Linguistics."
bilingual_alignment_transfers_to_multilingual_alignment_for_unsupervised_parallel_text_mining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dive_towards_descriptive_and_diverse_visual_commonsense_generation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.601,park-etal-2023-dive,"Jun-Hyung Park, Hyuntae Park, Youjin Kang, Eojin Jeon, and SangKeun Lee. 2023. DIVE: Towards Descriptive and Diverse Visual Commonsense Generation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 9677–9695, Singapore. Association for Computational Linguistics."
experiments_with_corpusbased_lfg_specialization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_deterministic_dependency_parsing_framework_using_modified_finite_newton_method_support_vector_machines,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rationalizing_text_matching_learning_sparse_alignments_via_optimal_transport,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
planet_dynamic_content_planning_in_autoregressive_transformers_for_longform_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nibbling_at_the_hard_core_of_word_sense_disambiguation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
extracted_bert_model_leaks_more_information_than_you_think,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_photobook_dataset_building_common_ground_through_visuallygrounded_dialogue,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
jointmatch_a_unified_approach_for_diverse_and_collaborative_pseudolabeling_to_semisupervised_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
using_semantic_roles_to_improve_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
maximum_entropy_models_for_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_spatial_model_for_extracting_and_visualizing_latent_discourse_structure_in_text,July,2018.0,ACL,https://aclanthology.org/P18-1211,srivastava-jojic-2018-spatial,"Shashank Srivastava and Nebojsa Jojic. 2018. A Spatial Model for Extracting and Visualizing Latent Discourse Structure in Text. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2268–2277, Melbourne, Australia. Association for Computational Linguistics."
a_lucene_and_maximum_entropy_model_based_hedge_detection_system,July,2010.0,CoNLL,https://aclanthology.org/W10-3016,chen-di-eugenio-2010-lucene,"Lin Chen and Barbara Di Eugenio. 2010. A Lucene and Maximum Entropy Model Based Hedge Detection System. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task, pages 114–119, Uppsala, Sweden. Association for Computational Linguistics."
summarize_and_generate_to_backtranslate_unsupervised_translation_of_programming_languages,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.112,ahmad-etal-2023-summarize,"Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, and Kai-Wei Chang. 2023. Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1528–1542, Dubrovnik, Croatia. Association for Computational Linguistics."
can_explanations_be_useful_for_calibrating_black_box_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semantic_composition_with_pshrg_for_derivation_tree_reconstruction_from_graphbased_meaning_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_tale_of_pronouns_interpretability_informs_gender_bias_mitigation_for_fairer_instructiontuned_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
shortcomings_of_question_answering_based_factuality_frameworks_for_error_localization,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.11,kamoi-etal-2023-shortcomings,"Ryo Kamoi, Tanya Goyal, and Greg Durrett. 2023. Shortcomings of Question Answering Based Factuality Frameworks for Error Localization. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 132–146, Dubrovnik, Croatia. Association for Computational Linguistics."
disco_distilling_counterfactuals_with_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
open_vocabulary_learning_for_neural_chinese_pinyin_ime,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
language_model_as_an_annotator_exploring_dialogpt_for_dialogue_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
toward_sentiment_aware_semantic_change_analysis,March,2024.0,EACL,https://aclanthology.org/2024.eacl-srw.28,goworek-dubossarsky-2024-toward,"Roksana Goworek and Haim Dubossarsky. 2024. Toward Sentiment Aware Semantic Change Analysis. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 350–357, St. Julian’s, Malta. Association for Computational Linguistics."
relevanceassisted_generation_for_robust_zeroshot_retrieval,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.67,kim-etal-2023-relevance,"Jihyuk Kim, Minsoo Kim, Joonsuk Park, and Seung-won Hwang. 2023. Relevance-assisted Generation for Robust Zero-shot Retrieval. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 723–731, Singapore. Association for Computational Linguistics."
understanding_preediting_for_blackbox_neural_machine_translation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.132,miyata-fujita-2021-understanding,"Rei Miyata and Atsushi Fujita. 2021. Understanding Pre-Editing for Black-Box Neural Machine Translation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1539–1550, Online. Association for Computational Linguistics."
should_you_mask_15_in_masked_language_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_uncertaintybased_hallucination_detection_with_stronger_focus,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
data_augmentation_for_voiceassistant_nlu_using_bertbased_interchangeable_rephrase,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.159,yerukola-etal-2021-data,"Akhila Yerukola, Mason Bretan, and Hongxia Jin. 2021. Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1852–1860, Online. Association for Computational Linguistics."
confidence_modeling_for_neural_semantic_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ontogum_evaluating_contextualized_sota_coreference_resolution_on_12_more_genres,August,2021.0,,https://aclanthology.org/2021.acl-short.59,zhu-etal-2021-ontogum,"Yilun Zhu, Sameer Pradhan, and Amir Zeldes. 2021. OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genres. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 461–467, Online. Association for Computational Linguistics."
using_context_in_neural_machine_translation_training_objectives,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
domain_adaptation_of_neural_machine_translation_by_lexicon_induction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
latent_retrieval_for_weakly_supervised_open_domain_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
alcap_alignmentaugmented_music_captioner,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.1028,he-etal-2023-alcap,"Zihao He, Weituo Hao, Wei-Tsung Lu, Changyou Chen, Kristina Lerman, and Xuchen Song. 2023. ALCAP: Alignment-Augmented Music Captioner. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16501–16512, Singapore. Association for Computational Linguistics."
gift_graphinduced_finetuning_for_multiparty_conversation_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
extending_a_thesaurus_in_the_panchinese_context,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
correcting_a_postagged_corpus_using_three_complementary_methods,March,2009.0,EACL,https://aclanthology.org/E09-1060,loftsson-2009-correcting,"Hrafn Loftsson. 2009. Correcting a POS-Tagged Corpus Using Three Complementary Methods. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 523–531, Athens, Greece. Association for Computational Linguistics."
datafinder_scientific_dataset_recommendation_from_natural_language_descriptions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
masakhanews_news_topic_classification_for_african_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
characterizing_the_errors_of_datadriven_dependency_parsing_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_intrinsic_and_extrinsic_fairness_evaluation_metrics_for_contextualized_language_representations,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.62,cao-etal-2022-intrinsic,"Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, and Aram Galstyan. 2022. On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 561–570, Dublin, Ireland. Association for Computational Linguistics."
a_frustratingly_easy_posttraining_quantization_scheme_for_llms,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.892,jeon-etal-2023-frustratingly,"Yongkweon Jeon, Chungman Lee, Kyungphil Park, and Ho-young Kim. 2023. A Frustratingly Easy Post-Training Quantization Scheme for LLMs. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 14446–14461, Singapore. Association for Computational Linguistics."
interactive_word_alignment_for_language_engineering,April,2003.0,EACL,https://aclanthology.org/E03-1086,ahrenberg-etal-2003-interactive,"Lars Ahrenberg, Magnus Merkel, and Michael Petterstedt. 2003. Interactive Word Alignment for Language Engineering. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
what_makes_a_good_counselor_learning_to_distinguish_between_highquality_and_lowquality_counseling_conversations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
working_memory_networks_augmenting_memory_networks_with_a_relational_reasoning_module,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modularized_interaction_network_for_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
texsmart_a_system_for_enhanced_natural_language_understanding,August,2021.0,,https://aclanthology.org/2021.acl-demo.1,liu-etal-2021-texsmart,"Lemao Liu, Haisong Zhang, Haiyun Jiang, Yangming Li, Enbo Zhao, Kun Xu, Linfeng Song, Suncong Zheng, Botong Zhou, Dick Zhu, Xiao Feng, Tao Chen, Tao Yang, Dong Yu, Feng Zhang, ZhanHui Kang, and Shuming Shi. 2021. TexSmart: A System for Enhanced Natural Language Understanding. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations, pages 1–10, Online. Association for Computational Linguistics."
language_remodelling_towards_embodied_language_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
analyzing_modular_approaches_for_visual_question_decomposition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
efficient_search_for_interactive_statistical_machine_translation,April,2003.0,EACL,https://aclanthology.org/E03-1032,och-etal-2003-efficient,"Franz Josef Och, Richard Zens, and Hermann Ney. 2003. Efficient Search for Interactive Statistical Machine Translation. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
classical_outofdistribution_detection_methods_benchmark_in_text_classification_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
examining_citations_of_natural_language_processing_literature,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rhetorically_controlled_encoderdecoder_for_modern_chinese_poetry_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
qacheck_a_demonstration_system_for_questionguided_multihop_factchecking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multimodal_sarcasm_target_identification_in_tweets,May,2022.0,ACL,https://aclanthology.org/2022.acl-long.562,wang-etal-2022-multimodal,"Jiquan Wang, Lin Sun, Yi Liu, Meizhi Shao, and Zengwei Zheng. 2022. Multimodal Sarcasm Target Identification in Tweets. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 8164–8175, Dublin, Ireland. Association for Computational Linguistics."
incorporating_taskspecific_concept_knowledge_into_script_learning,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.220,sun-etal-2023-incorporating,"Chenkai Sun, Tie Xu, ChengXiang Zhai, and Heng Ji. 2023. Incorporating Task-Specific Concept Knowledge into Script Learning. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3026–3040, Dubrovnik, Croatia. Association for Computational Linguistics."
fabricator_an_open_source_toolkit_for_generating_labeled_training_data_with_teacher_llms,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-demo.1,golde-etal-2023-fabricator,"Jonas Golde, Patrick Haller, Felix Hamborg, Julian Risch, and Alan Akbik. 2023. Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 1–11, Singapore. Association for Computational Linguistics."
finding_clauses_in_unrestricted_text_by_finitary_and_stochastic_methods,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rejuvenating_lowfrequency_words_making_the_most_of_parallel_data_in_nonautoregressive_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
faithful_or_extractive_on_mitigating_the_faithfulnessabstractiveness_tradeoff_in_abstractive_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hearst_patterns_revisited_automatic_hypernym_detection_from_large_text_corpora,July,2018.0,ACL,https://aclanthology.org/P18-2057,roller-etal-2018-hearst,"Stephen Roller, Douwe Kiela, and Maximilian Nickel. 2018. Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 358–363, Melbourne, Australia. Association for Computational Linguistics."
encore_finegrained_entity_typing_by_pretraining_entity_encoders_on_coreference_chains,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.106,mtumbuka-schockaert-2024-encore,"Frank Mtumbuka and Steven Schockaert. 2024. EnCore: Fine-Grained Entity Typing by Pre-Training Entity Encoders on Coreference Chains. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1768–1781, St. Julian’s, Malta. Association for Computational Linguistics."
discrete_crossmodal_alignment_enables_zeroshot_speech_translation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.354,wang-etal-2022-discrete,"Chen Wang, Yuchen Liu, Boxing Chen, Jiajun Zhang, Wei Luo, Zhongqiang Huang, and Chengqing Zong. 2022. Discrete Cross-Modal Alignment Enables Zero-Shot Speech Translation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5291–5302, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
a_unified_lineartime_framework_for_sentencelevel_discourse_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
text_style_transferring_via_adversarial_masking_and_styled_filling,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.521,wang-etal-2022-text,"Jiarui Wang, Richong Zhang, Junfan Chen, Jaein Kim, and Yongyi Mao. 2022. Text Style Transferring via Adversarial Masking and Styled Filling. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7654–7663, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
soda_millionscale_dialogue_distillation_with_social_commonsense_contextualization,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.799,kim-etal-2023-soda,"Hyunwoo Kim, Jack Hessel, Liwei Jiang, Peter West, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, and Yejin Choi. 2023. SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12930–12949, Singapore. Association for Computational Linguistics."
rethinking_negative_sampling_for_handling_missing_entity_annotations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
largescale_multidomain_belief_tracking_with_knowledge_sharing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unifying_crosslingual_and_crossmodal_modeling_towards_weakly_supervised_multilingual_visionlanguage_pretraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
knowledgeaware_pronoun_coreference_resolution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
large_dual_encoders_are_generalizable_retrievers,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.669,ni-etal-2022-large,"Jianmo Ni, Chen Qu, Jing Lu, Zhuyun Dai, Gustavo Hernandez Abrego, Ji Ma, Vincent Zhao, Yi Luan, Keith Hall, Ming-Wei Chang, and Yinfei Yang. 2022. Large Dual Encoders Are Generalizable Retrievers. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9844–9855, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
an_integrated_search_system_for_korea_weather_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
translation_using_information_on_dialogue_participants,April,2000.0,,https://aclanthology.org/A00-1006,yamada-etal-2000-translation,"Setsuo Yamada, Eiichiro Sumita, and Hideki Kashioka. 2000. Translation using Information on Dialogue Participants. In Sixth Applied Natural Language Processing Conference, pages 37–43, Seattle, Washington, USA. Association for Computational Linguistics."
all_thats_human_is_not_gold_evaluating_human_evaluation_of_generated_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
boosting_transformers_and_language_models_for_clinical_prediction_in_immunotherapy,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
efficient_compositional_ordersensitive_ngram_embeddings,April,2017.0,EACL,https://aclanthology.org/E17-2081,poliak-etal-2017-efficient,"Adam Poliak, Pushpendre Rastogi, M. Patrick Martin, and Benjamin Van Durme. 2017. Efficient, Compositional, Order-sensitive n-gram Embeddings. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 503–508, Valencia, Spain. Association for Computational Linguistics."
joint_memorybased_learning_of_syntactic_and_semantic_dependencies_in_multiple_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatic_domain_adaptation_outperforms_manual_domain_adaptation_for_predicting_financial_outcomes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dsgan_generative_adversarial_training_for_distant_supervision_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hybrid_semimarkov_crf_for_neural_sequence_labeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
s4tuning_a_simple_crosslingual_subnetwork_tuning_method,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
putting_the_horse_before_the_cart_a_generatorevaluator_framework_for_question_generation_from_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_paraphrase_detection_with_the_adversarial_paraphrasing_task,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
do_neural_models_learn_systematicity_of_monotonicity_inference_in_natural_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
transitionbased_directed_graph_construction_for_emotioncause_pair_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
histalign_improving_context_dependency_in_language_generation_by_aligning_with_history,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
event_extraction_from_twitter_using_nonparametric_bayesian_mixture_model_with_word_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ctrleval_an_unsupervised_referencefree_metric_for_evaluating_controlled_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
not_as_awful_as_it_seems_explaining_german_case_through_computational_experiments_in_fluid_construction_grammar,April,2012.0,EACL,https://aclanthology.org/E12-1084,van-trijp-2012-awful,"Remi van Trijp. 2012. Not as Awful as it Seems: Explaining German Case through Computational Experiments in Fluid Construction Grammar. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 829–839, Avignon, France. Association for Computational Linguistics."
a_temporally_sensitive_submodularity_framework_for_timeline_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
incorporating_textual_information_on_user_behavior_for_personality_prediction,July,2019.0,ACL,https://aclanthology.org/P19-2024,yamada-etal-2019-incorporating,"Kosuke Yamada, Ryohei Sasano, and Koichi Takeda. 2019. Incorporating Textual Information on User Behavior for Personality Prediction. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 177–182, Florence, Italy. Association for Computational Linguistics."
analogies_minus_analogy_test_measuring_regularities_in_word_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tweenlp_a_twitter_exploration_portal_for_natural_language_processing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
topic_segmentation_with_hybrid_document_indexing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
finding_the_right_one_and_resolving_it,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_word_sense_disambiguation_using_topic_features,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
what_do_recurrent_neural_network_grammars_learn_about_syntax,April,2017.0,EACL,https://aclanthology.org/E17-1117,kuncoro-etal-2017-recurrent,"Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, and Noah A. Smith. 2017. What Do Recurrent Neural Network Grammars Learn About Syntax?. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 1249–1258, Valencia, Spain. Association for Computational Linguistics."
jiant_a_software_toolkit_for_research_on_generalpurpose_text_understanding_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
toolwriter_question_specific_tool_synthesis_for_tabular_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_compositional_generalization_for_multistep_quantitative_reasoning_in_question_answering,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.125,nourbakhsh-etal-2022-improving,"Armineh Nourbakhsh, Cathy Jiao, Sameena Shah, and Carolyn Rosé. 2022. Improving compositional generalization for multi-step quantitative reasoning in question answering. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1916–1932, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
benchie_a_framework_for_multifaceted_factbased_open_information_extraction_evaluation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
knowledge_transfer_from_answer_ranking_to_answer_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
robust_text_processing_in_automated_information_retrieval,October,1994.0,ANLP,https://aclanthology.org/A94-1028,strzalkowski-1994-robust,"Tomek Strzalkowski. 1994. Robust Text Processing in Automated Information Retrieval. In Fourth Conference on Applied Natural Language Processing, pages 168–173, Stuttgart, Germany. Association for Computational Linguistics."
from_machine_translation_to_codeswitching_generating_highquality_codeswitched_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adviser_a_toolkit_for_developing_multimodal_multidomain_and_sociallyengaged_conversational_agents,July,2020.0,ACL,https://aclanthology.org/2020.acl-demos.31,li-etal-2020-adviser,"Chia-Yu Li, Daniel Ortega, Dirk Väth, Florian Lux, Lindsey Vanderlyn, Maximilian Schmidt, Michael Neumann, Moritz Völkel, Pavel Denisov, Sabrina Jenne, Zorica Kacarevic, and Ngoc Thang Vu. 2020. ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 279–286, Online. Association for Computational Linguistics."
twine_a_realtime_system_for_tweet_analysis_via_information_extraction,April,2017.0,EACL,https://aclanthology.org/E17-3007,nozza-etal-2017-twine,"Debora Nozza, Fausto Ristagno, Matteo Palmonari, Elisabetta Fersini, Pikakshi Manchanda, and Enza Messina. 2017. TWINE: A real-time system for TWeet analysis via INformation Extraction. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 25–28, Valencia, Spain. Association for Computational Linguistics."
multidomain_dialogue_acts_and_response_cogeneration,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_recipe_for_arbitrary_text_style_transfer_with_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
can_training_neural_language_models_on_a_curriculum_with_developmentally_plausible_data_improve_alignment_with_human_reading_behavior,December,2023.0,CoNLL,https://aclanthology.org/2023.conll-babylm.9,chobey-etal-2023-training,"Aryaman Chobey, Oliver Smith, Anzi Wang, and Grusha Prasad. 2023. Can training neural language models on a curriculum with developmentally plausible data improve alignment with human reading behavior?. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 98–111, Singapore. Association for Computational Linguistics."
automatic_generation_of_socratic_subquestions_for_teaching_math_word_problems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pats_sensitivityaware_noisy_learning_for_pretrained_language_models,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.241,zhang-etal-2022-pats,"Yupeng Zhang, Hongzhi Zhang, Sirui Wang, Wei Wu, and Zhoujun Li. 2022. PATS: Sensitivity-aware Noisy Learning for Pretrained Language Models. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3680–3687, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
semantic_frame_induction_using_masked_word_embeddings_and_twostep_clustering,August,2021.0,,https://aclanthology.org/2021.acl-short.102,yamada-etal-2021-semantic,"Kosuke Yamada, Ryohei Sasano, and Koichi Takeda. 2021. Semantic Frame Induction using Masked Word Embeddings and Two-Step Clustering. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 811–816, Online. Association for Computational Linguistics."
parallax_visualizing_and_understanding_the_semantics_of_embedding_spaces_via_algebraic_formulae,July,2019.0,ACL,https://aclanthology.org/P19-3028,molino-etal-2019-parallax,"Piero Molino, Yang Wang, and Jiawei Zhang. 2019. Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 165–180, Florence, Italy. Association for Computational Linguistics."
using_the_output_embedding_to_improve_language_models,April,2017.0,EACL,https://aclanthology.org/E17-2025,press-wolf-2017-using,"Ofir Press and Lior Wolf. 2017. Using the Output Embedding to Improve Language Models. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 157–163, Valencia, Spain. Association for Computational Linguistics."
how_accents_confound_probing_for_accent_information_in_endtoend_speech_recognition_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
explain_edit_generate_rationalesensitive_counterfactual_data_augmentation_for_multihop_fact_verification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
acquiring_a_formalityinformed_lexical_resource_for_style_analysis,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.174,eder-etal-2021-acquiring,"Elisabeth Eder, Ulrike Krieg-Holz, and Udo Hahn. 2021. Acquiring a Formality-Informed Lexical Resource for Style Analysis. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2028–2041, Online. Association for Computational Linguistics."
faithfulness_tests_for_natural_language_explanations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
kdconv_a_chinese_multidomain_dialogue_dataset_towards_multiturn_knowledgedriven_conversation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mee_a_novel_multilingual_event_extraction_dataset,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.652,pouran-ben-veyseh-etal-2022-mee,"Amir Pouran Ben Veyseh, Javid Ebrahimi, Franck Dernoncourt, and Thien Nguyen. 2022. MEE: A Novel Multilingual Event Extraction Dataset. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9603–9613, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
peco_examining_single_sentence_label_leakage_in_natural_language_inference_datasets_through_progressive_evaluation_of_cluster_outliers,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.223,saxon-etal-2023-peco,"Michael Saxon, Xinyi Wang, Wenda Xu, and William Yang Wang. 2023. PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3061–3074, Dubrovnik, Croatia. Association for Computational Linguistics."
improving_factuality_of_abstractive_summarization_without_sacrificing_summary_quality,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.78,dixit-etal-2023-improving,"Tanay Dixit, Fei Wang, and Muhao Chen. 2023. Improving Factuality of Abstractive Summarization without Sacrificing Summary Quality. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 902–913, Toronto, Canada. Association for Computational Linguistics."
human_learning_by_model_feedback_the_dynamics_of_iterative_prompting_with_midjourney,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatic_detection_of_entitymanipulated_text_using_factual_knowledge,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
parameterefficient_multitask_finetuning_for_transformers_via_shared_hypernetworks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
inherent_biases_in_referencebased_evaluation_for_grammatical_error_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modeling_the_use_of_graffiti_style_features_to_signal_social_relations_within_a_multidomain_learning_paradigm,April,2014.0,EACL,https://aclanthology.org/E14-1012,piergallini-etal-2014-modeling,"Mario Piergallini, A. Seza Doğruöz, Phani Gadde, David Adamson, and Carolyn Rosé. 2014. Modeling the Use of Graffiti Style Features to Signal Social Relations within a Multi-Domain Learning Paradigm. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 107–115, Gothenburg, Sweden. Association for Computational Linguistics."
gladis_a_general_and_large_acronym_disambiguation_benchmark,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.152,chen-etal-2023-gladis,"Lihu Chen, Gael Varoquaux, and Fabian M. Suchanek. 2023. GLADIS: A General and Large Acronym Disambiguation Benchmark. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2073–2088, Dubrovnik, Croatia. Association for Computational Linguistics."
hierarchical_verbalizer_for_fewshot_hierarchical_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatic_identification_of_important_segments_and_expressions_for_mining_of_businessoriented_conversations_at_contact_centers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mitigating_bias_in_sessionbased_cyberbullying_detection_a_noncompromising_approach,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
orchid_a_chinese_debate_corpus_for_targetindependent_stance_detection_and_argumentative_dialogue_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
subword_pooling_makes_a_difference,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.194,acs-etal-2021-subword,"Judit Ács, Ákos Kádár, and Andras Kornai. 2021. Subword Pooling Makes a Difference. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2284–2295, Online. Association for Computational Linguistics."
seegull_a_stereotype_benchmark_with_broad_geocultural_coverage_leveraging_generative_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
long_text_generation_by_modeling_sentencelevel_and_discourselevel_coherence,August,2021.0,,https://aclanthology.org/2021.acl-long.499,guan-etal-2021-long,"Jian Guan, Xiaoxi Mao, Changjie Fan, Zitao Liu, Wenbiao Ding, and Minlie Huang. 2021. Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 6379–6393, Online. Association for Computational Linguistics."
loglinear_guardedness_and_its_implications,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dont_blame_the_annotator_bias_already_starts_in_the_annotation_instructions,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.130,parmar-etal-2023-dont,"Mihir Parmar, Swaroop Mishra, Mor Geva, and Chitta Baral. 2023. Don’t Blame the Annotator: Bias Already Starts in the Annotation Instructions. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1779–1789, Dubrovnik, Croatia. Association for Computational Linguistics."
open_latest_revision_pdf_of_combining_supervised_learning_and_reinforcement_learning_for_multilabel_classification_tasks_with_partial_labels,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
opendialkg_explainable_conversational_reasoning_with_attentionbased_walks_over_knowledge_graphs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
higherorder_dependency_parsing_for_arcpolynomial_score_functions_via_gradientbased_methods_and_genetic_algorithm,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reflectionbased_word_attribute_transfer,July,2020.0,ACL,https://aclanthology.org/2020.acl-srw.8,ishibashi-etal-2020-reflection,"Yoichi Ishibashi, Katsuhito Sudoh, Koichiro Yoshino, and Satoshi Nakamura. 2020. Reflection-based Word Attribute Transfer. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 51–58, Online. Association for Computational Linguistics."
prediction_of_peoples_emotional_response_towards_multimodal_news,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
effective_search_space_reduction_for_spell_correction_using_character_neural_embeddings,April,2017.0,EACL,https://aclanthology.org/E17-2027,pande-2017-effective,"Harshit Pande. 2017. Effective search space reduction for spell correction using character neural embeddings. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 170–174, Valencia, Spain. Association for Computational Linguistics."
cwseg_an_efficient_and_general_approach_to_chinese_word_segmentation,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.1,li-etal-2023-cwseg,"Dedong Li, Rui Zhao, and Fei Tan. 2023. CWSeg: An Efficient and General Approach to Chinese Word Segmentation. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 1–10, Toronto, Canada. Association for Computational Linguistics."
explicit_memory_tracker_with_coarsetofine_reasoning_for_conversational_machine_reading,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
apollo__unified_adapter_and_prompt_learning_for_vision_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semisupervised_learning_of_morphological_paradigms_and_lexicons,April,2014.0,EACL,https://aclanthology.org/E14-1060,hulden-etal-2014-semi,"Mans Hulden, Markus Forsberg, and Malin Ahlberg. 2014. Semi-supervised learning of morphological paradigms and lexicons. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 569–578, Gothenburg, Sweden. Association for Computational Linguistics."
consert_a_contrastive_framework_for_selfsupervised_sentence_representation_transfer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
developing_an_approach_for_whyquestion_answering,,2006.0,EACL,https://aclanthology.org/E06-3005,verberne-2006-developing,"Suzan Verberne. 2006. Developing an Approach for Why-Question Answering. In Student Research Workshop, pages 39–46."
unrestricted_coreference_resolution_via_global_hypergraph_partitioning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
srl4e__semantic_role_labeling_for_emotions_a_unified_evaluation_framework,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automated_digitization_of_unstructured_medical_prescriptions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_aspect_and_opinion_term_extraction_with_mined_rules_as_weak_supervision,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_generalization_in_language_modelbased_texttosql_semantic_parsing_two_simple_semantic_boundarybased_techniques,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_ask_unanswerable_questions_for_machine_reading_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
probabilistic_headdriven_parsing_for_discourse_structure,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
simple_robust_and_almost_unsupervised_generation_of_polarity_lexicons_for_multiple_languages,April,2014.0,EACL,https://aclanthology.org/E14-1010,san-vicente-etal-2014-simple,"Iñaki San Vicente, Rodrigo Agerri, and German Rigau. 2014. Simple, Robust and (almost) Unsupervised Generation of Polarity Lexicons for Multiple Languages. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 88–97, Gothenburg, Sweden. Association for Computational Linguistics."
adaptation_of_statistical_machine_translation_model_for_crosslingual_information_retrieval_in_a_service_context,April,2012.0,EACL,https://aclanthology.org/E12-1012,nikoulina-etal-2012-adaptation,"Vassilina Nikoulina, Bogomil Kovachev, Nikolaos Lagos, and Christof Monz. 2012. Adaptation of Statistical Machine Translation Model for Cross-Lingual Information Retrieval in a Service Context. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 109–119, Avignon, France. Association for Computational Linguistics."
do_syntax_trees_help_pretrained_transformers_extract_information,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.228,sachan-etal-2021-syntax,"Devendra Sachan, Yuhao Zhang, Peng Qi, and William L. Hamilton. 2021. Do Syntax Trees Help Pre-trained Transformers Extract Information?. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2647–2661, Online. Association for Computational Linguistics."
generating_informative_conversational_response_using_recurrent_knowledgeinteraction_and_knowledgecopy,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
denoising_bottleneck_with_mutual_information_maximization_for_video_multimodal_fusion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_visualsemantic_embedding_with_adaptive_pooling_and_optimization_objective,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.87,zhang-etal-2023-improving,"Zijian Zhang, Chang Shu, Ya Xiao, Yuan Shen, Di Zhu, Youxin Chen, Jing Xiao, Jey Han Lau, Qian Zhang, and Zheng Lu. 2023. Improving Visual-Semantic Embedding with Adaptive Pooling and Optimization Objective. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1217–1229, Dubrovnik, Croatia. Association for Computational Linguistics."
parsing_with_context_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
conll_2014_shared_task_grammatical_error_correction_with_a_syntactic_ngram_language_model_from_a_big_corpora,June,2014.0,CoNLL,https://aclanthology.org/W14-1701,ng-etal-2014-conll,"Hwee Tou Ng, Siew Mei Wu, Ted Briscoe, Christian Hadiwinoto, Raymond Hendy Susanto, and Christopher Bryant. 2014. The CoNLL-2014 Shared Task on Grammatical Error Correction. In Proceedings of the Eighteenth Conference on Computational Natural Language Learning: Shared Task, pages 1–14, Baltimore, Maryland. Association for Computational Linguistics."
easyedit_an_easytouse_knowledge_editing_framework_for_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_universal_dependency_parsing_from_raw_text_with_lowresource_language_enhancement,October,2018.0,CoNLL,https://aclanthology.org/K18-2007,wu-etal-2018-multilingual,"Yingting Wu, Hai Zhao, and Jia-Jun Tong. 2018. Multilingual Universal Dependency Parsing from Raw Text with Low-Resource Language Enhancement. In Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 74–80, Brussels, Belgium. Association for Computational Linguistics."
deeppavlov_dream_platform_for_building_generative_ai_assistants,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unified_interpretation_of_softmax_crossentropy_and_negative_sampling_with_case_study_for_knowledge_graph_embedding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_positivity_bias_in_negative_reviews,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
speecht5_unifiedmodal_encoderdecoder_pretraining_for_spoken_language_processing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
variationist_exploring_multifaceted_variation_and_bias_in_written_language_data,August,2024.0,ACL,https://aclanthology.org/2024.acl-demos.33,ramponi-etal-2024-variationist,"Alan Ramponi, Camilla Casula, and Stefano Menini. 2024. Variationist: Exploring Multifaceted Variation and Bias in Written Language Data. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 346–354, Bangkok, Thailand. Association for Computational Linguistics."
investigating_agency_of_llms_in_humanai_collaboration_tasks,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.119,sharma-etal-2024-investigating,"Ashish Sharma, Sudha Rao, Chris Brockett, Akanksha Malhotra, Nebojsa Jojic, and Bill Dolan. 2024. Investigating Agency of LLMs in Human-AI Collaboration Tasks. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1968–1987, St. Julian’s, Malta. Association for Computational Linguistics."
word_sense_disambiguation_towards_interactive_context_exploitation_from_both_word_and_sense_perspectives,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
extreme_finetuning_a_novel_and_fast_finetuning_approach_for_text_classification,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.32,jiaramaneepinit-etal-2024-extreme,"Boonnithi Jiaramaneepinit, Thodsaporn Chay-intr, Kotaro Funakoshi, and Manabu Okumura. 2024. Extreme Fine-tuning: A Novel and Fast Fine-tuning Approach for Text Classification. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 368–379, St. Julian’s, Malta. Association for Computational Linguistics."
towards_complex_texttosql_in_crossdomain_database_with_intermediate_representation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lightlysupervised_word_sense_translation_error_detection_for_an_interactive_conversational_spoken_language_translation_system,April,2014.0,EACL,https://aclanthology.org/E14-4011,mehay-etal-2014-lightly,"Dennis Mehay, Sankaranarayanan Ananthakrishnan, and Sanjika Hewavitharana. 2014. Lightly-Supervised Word Sense Translation Error Detection for an Interactive Conversational Spoken Language Translation System. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 54–58, Gothenburg, Sweden. Association for Computational Linguistics."
seamlessly_integrating_factual_information_and_social_content_with_persuasive_dialogue,November,2022.0,,https://aclanthology.org/2022.aacl-main.31,chen-etal-2022-seamlessly,"Maximillian Chen, Weiyan Shi, Feifan Yan, Ryan Hou, Jingwen Zhang, Saurav Sahay, and Zhou Yu. 2022. Seamlessly Integrating Factual Information and Social Content with Persuasive Dialogue. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 399–413, Online only. Association for Computational Linguistics."
welcome_to_the_real_world_efficient_incremental_and_scalable_key_point_analysis,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.46,eden-etal-2023-welcome,"Lilach Eden, Yoav Kantor, Matan Orbach, Yoav Katz, Noam Slonim, and Roy Bar-Haim. 2023. Welcome to the Real World: Efficient, Incremental and Scalable Key Point Analysis. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 483–491, Singapore. Association for Computational Linguistics."
grounding_conversations_with_improvised_dialogues,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
metaphor_detection_with_effective_context_denoising,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.102,wang-etal-2023-metaphor,"Shun Wang, Yucheng Li, Chenghua Lin, Loic Barrault, and Frank Guerin. 2023. Metaphor Detection with Effective Context Denoising. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1404–1409, Dubrovnik, Croatia. Association for Computational Linguistics."
do_visionandlanguage_transformers_learn_grounded_predicatenoun_dependencies,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.100,nikolaus-etal-2022-vision,"Mitja Nikolaus, Emmanuelle Salin, Stephane Ayache, Abdellah Fourtassi, and Benoit Favre. 2022. Do Vision-and-Language Transformers Learn Grounded Predicate-Noun Dependencies?. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1538–1555, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
improving_statistical_machine_translation_performance_by_training_data_selection_and_optimization,June,2007.0,,https://aclanthology.org/D07-1036,lu-etal-2007-improving,"Yajuan Lü, Jin Huang, and Qun Liu. 2007. Improving Statistical Machine Translation Performance by Training Data Selection and Optimization. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 343–350, Prague, Czech Republic. Association for Computational Linguistics."
automatic_article_commenting_the_task_and_dataset,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
entitylevel_factual_consistency_of_abstractive_text_summarization,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.235,nan-etal-2021-entity,"Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cicero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathleen McKeown, and Bing Xiang. 2021. Entity-level Factual Consistency of Abstractive Text Summarization. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2727–2733, Online. Association for Computational Linguistics."
a_comprehensive_analysis_of_preprocessing_for_word_representation_learning_in_affective_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
probabilistic_fasttext_for_multisense_word_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
attentionbased_relational_graph_convolutional_network_for_targetoriented_opinion_words_extraction,December,2023.0,ICON,https://aclanthology.org/2023.icon-1.57,abir-2023-aspect,"Abir Chakraborty. 2023. Aspect and Opinion Term Extraction Using Graph Attention Network. In Proceedings of the 20th International Conference on Natural Language Processing (ICON), pages 594–602, Goa University, Goa, India. NLP Association of India (NLPAI)."
syntaxbert_improving_pretrained_transformers_with_syntax_trees,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.262,bai-etal-2021-syntax,"Jiangang Bai, Yujing Wang, Yiren Chen, Yaming Yang, Jing Bai, Jing Yu, and Yunhai Tong. 2021. Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3011–3020, Online. Association for Computational Linguistics."
dpptts_diversifying_prosodic_features_of_speech_via_determinantal_point_processes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
identifying_chinese_opinion_expressions_with_extremelynoisy_crowdsourcing_annotations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_survey_on_asking_clarification_questions_datasets_in_conversational_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
are_training_samples_correlated_learning_to_generate_dialogue_responses_with_multiple_references,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rescue_ranking_llm_responses_with_partial_ordering_to_improve_response_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tbert_topic_models_and_bert_joining_forces_for_semantic_similarity_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
extractive_summarization_with_swapnet_sentences_and_words_from_alternating_pointer_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
smart_robust_and_efficient_finetuning_for_pretrained_natural_language_models_through_principled_regularized_optimization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multitask_pairwise_neural_ranking_for_hashtag_segmentation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
empower_nested_boolean_logic_via_selfsupervised_curriculum_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
what_do_language_representations_really_represent,June,2019.0,CL,https://aclanthology.org/J19-2006,bjerva-etal-2019-language,"Johannes Bjerva, Robert Östling, Maria Han Veiga, Jörg Tiedemann, and Isabelle Augenstein. 2019. What Do Language Representations Really Represent?. Computational Linguistics, 45(2):381–389."
examining_the_inductive_bias_of_neural_language_models_with_artificial_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_a_benefit_of_masked_language_model_pretraining_robustness_to_simplicity_bias,November,2023.0,,https://aclanthology.org/2023.ijcnlp-main.8,chiang-2023-benefit,"Ting-Rui Chiang. 2023. On a Benefit of Masked Language Model Pretraining: Robustness to Simplicity Bias. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 104–118, Nusa Dua, Bali. Association for Computational Linguistics."
learning_to_generate_overlap_summaries_through_noisy_synthetic_data,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.807,bansal-etal-2022-learning,"Naman Bansal, Mousumi Akter, and Shubhra Kanti Karmaker Santu. 2022. Learning to Generate Overlap Summaries through Noisy Synthetic Data. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11765–11777, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
can_synthetic_text_help_clinical_named_entity_recognition_a_study_of_electronic_health_records_in_french,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.170,hiebel-etal-2023-synthetic,"Nicolas Hiebel, Olivier Ferret, Karen Fort, and Aurélie Névéol. 2023. Can Synthetic Text Help Clinical Named Entity Recognition? A Study of Electronic Health Records in French. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2320–2338, Dubrovnik, Croatia. Association for Computational Linguistics."
eticor_corpus_for_analyzing_llms_for_etiquettes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_turkish_abstract_meaning_representation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hierarchical_multihead_attentive_network_for_evidenceaware_fake_news_detection,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.83,vo-lee-2021-hierarchical,"Nguyen Vo and Kyumin Lee. 2021. Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 965–975, Online. Association for Computational Linguistics."
do_the_benefits_of_joint_models_for_relation_extraction_extend_to_documentlevel_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
understanding_iterative_revision_from_humanwritten_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mquake_assessing_knowledge_editing_in_language_models_via_multihop_questions,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.971,zhong-etal-2023-mquake,"Zexuan Zhong, Zhengxuan Wu, Christopher Manning, Christopher Potts, and Danqi Chen. 2023. MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15686–15702, Singapore. Association for Computational Linguistics."
keeping_notes_conditional_natural_language_generation_with_a_scratchpad_encoder,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
japanesetoenglish_simultaneous_dubbing_prototype,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
greedy_joint_syntacticsemantic_parsing_with_stack_lstms,August,2016.0,CoNLL,https://aclanthology.org/K16-1019,swayamdipta-etal-2016-greedy,"Swabha Swayamdipta, Miguel Ballesteros, Chris Dyer, and Noah A. Smith. 2016. Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs. In Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, pages 187–197, Berlin, Germany. Association for Computational Linguistics."
taskadaptive_tokenization_enhancing_longform_text_generation_efficacy_in_mental_health_and_beyond,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.944,liu-etal-2023-task,"Siyang Liu, Naihao Deng, Sahand Sabour, Yilin Jia, Minlie Huang, and Rada Mihalcea. 2023. Task-Adaptive Tokenization: Enhancing Long-Form Text Generation Efficacy in Mental Health and Beyond. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15264–15281, Singapore. Association for Computational Linguistics."
compression_of_neural_machine_translation_models_via_pruning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
genderpreserving_debiasing_for_pretrained_word_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
chinese_poetry_generation_with_a_salientclue_mechanism,October,2018.0,CoNLL,https://aclanthology.org/K18-1024,yi-etal-2018-chinese,"Xiaoyuan Yi, Ruoyu Li, and Maosong Sun. 2018. Chinese Poetry Generation with a Salient-Clue Mechanism. In Proceedings of the 22nd Conference on Computational Natural Language Learning, pages 241–250, Brussels, Belgium. Association for Computational Linguistics."
implicit_discourse_relation_classification_we_need_to_talk_about_evaluation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
endtoend_argument_mining_as_biaffine_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
incorporating_latent_meanings_of_morphological_compositions_to_enhance_word_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_language_model_based_evaluator_for_sentence_compression,July,2018.0,ACL,https://aclanthology.org/P18-2028,zhao-etal-2018-language,"Yang Zhao, Zhiyuan Luo, and Akiko Aizawa. 2018. A Language Model based Evaluator for Sentence Compression. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 170–175, Melbourne, Australia. Association for Computational Linguistics."
contrastive_learning_for_inference_in_dialogue,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
structure_from_anarchy_meta_level_representation_of_expert_system_propositions_for_natural_language_interfaces,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
patient_outcome_and_zeroshot_diagnosis_prediction_with_hypernetworkguided_multitask_learning,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.43,ji-marttinen-2023-patient,"Shaoxiong Ji and Pekka Marttinen. 2023. Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 589–598, Dubrovnik, Croatia. Association for Computational Linguistics."
crossmodality_relevance_for_reasoning_on_language_and_vision,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pare_a_simple_and_strong_baseline_for_monolingual_and_multilingual_distantly_supervised_relation_extraction,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.38,rathore-etal-2022-pare,"Vipul Rathore, Kartikeya Badola, Parag Singla, and Mausam. 2022. PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 340–354, Dublin, Ireland. Association for Computational Linguistics."
understanding_guided_image_captioning_performance_across_domains,November,2021.0,CoNLL,https://aclanthology.org/2021.conll-1.14,ng-etal-2021-understanding,"Edwin G. Ng, Bo Pang, Piyush Sharma, and Radu Soricut. 2021. Understanding Guided Image Captioning Performance across Domains. In Proceedings of the 25th Conference on Computational Natural Language Learning, pages 183–193, Online. Association for Computational Linguistics."
lower_perplexity_is_not_always_humanlike,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
claimportal_integrated_monitoring_searching_checking_and_analytics_of_factual_claims_on_twitter,July,2019.0,ACL,https://aclanthology.org/P19-3026,majithia-etal-2019-claimportal,"Sarthak Majithia, Fatma Arslan, Sumeet Lubal, Damian Jimenez, Priyank Arora, Josue Caraballo, and Chengkai Li. 2019. ClaimPortal: Integrated Monitoring, Searching, Checking, and Analytics of Factual Claims on Twitter. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 153–158, Florence, Italy. Association for Computational Linguistics."
multiview_identifiers_enhanced_generative_retrieval,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
characterizing_idioms_conventionality_and_contingency,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_coupled_policies_for_simultaneous_machine_translation_using_imitation_learning,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.233,arthur-etal-2021-learning,"Philip Arthur, Trevor Cohn, and Gholamreza Haffari. 2021. Learning Coupled Policies for Simultaneous Machine Translation using Imitation Learning. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2709–2719, Online. Association for Computational Linguistics."
measuring_frame_relatedness,March,2009.0,EACL,https://aclanthology.org/E09-1075,pennacchiotti-wirth-2009-measuring,"Marco Pennacchiotti and Michael Wirth. 2009. Measuring Frame Relatedness. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 657–665, Athens, Greece. Association for Computational Linguistics."
morphological_analysis_of_the_dravidian_language_family,April,2017.0,EACL,https://aclanthology.org/E17-2035,kumar-etal-2017-morphological,"Arun Kumar, Ryan Cotterell, Lluís Padró, and Antoni Oliver. 2017. Morphological Analysis of the Dravidian Language Family. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 217–222, Valencia, Spain. Association for Computational Linguistics."
identifying_the_human_values_behind_arguments,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cltr_an_endtoend_transformerbased_system_for_celllevel_table_retrieval_and_table_question_answering,August,2021.0,,https://aclanthology.org/2021.acl-demo.24,pan-etal-2021-cltr,"Feifei Pan, Mustafa Canim, Michael Glass, Alfio Gliozzo, and Peter Fox. 2021. CLTR: An End-to-End, Transformer-Based System for Cell-Level Table Retrieval and Table Question Answering. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations, pages 202–209, Online. Association for Computational Linguistics."
japanese_dependency_analysis_using_the_ancestordescendant_relation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
interpreting_positional_information_in_perspective_of_word_order,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_syntacticsemantic_dependency_parsing_with_threestage_approximate_maxmargin_linear_models,June,2009.0,CoNLL,https://aclanthology.org/W09-1218,watanabe-etal-2009-multilingual,"Yotaro Watanabe, Masayuki Asahara, and Yuji Matsumoto. 2009. Multilingual Syntactic-Semantic Dependency Parsing with Three-Stage Approximate Max-Margin Linear Models. In Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL 2009): Shared Task, pages 114–119, Boulder, Colorado. Association for Computational Linguistics."
mpii_multilevel_mutual_promotion_for_inference_and_interpretation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crosslingual_dependency_parsing_with_late_decoding_for_truly_lowresource_languages,April,2017.0,EACL,https://aclanthology.org/E17-1021,schlichtkrull-sogaard-2017-cross,"Michael Schlichtkrull and Anders Søgaard. 2017. Cross-Lingual Dependency Parsing with Late Decoding for Truly Low-Resource Languages. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 220–229, Valencia, Spain. Association for Computational Linguistics."
nary_constituent_tree_parsing_with_recursive_semimarkov_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tokenwise_decomposition_of_autoregressive_language_model_hidden_states_for_analyzing_model_predictions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
longeval_guidelines_for_human_evaluation_of_faithfulness_in_longform_summarization,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.121,krishna-etal-2023-longeval,"Kalpesh Krishna, Erin Bransom, Bailey Kuehl, Mohit Iyyer, Pradeep Dasigi, Arman Cohan, and Kyle Lo. 2023. LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1650–1669, Dubrovnik, Croatia. Association for Computational Linguistics."
instruction_clarification_requests_in_multimodal_collaborative_dialogue_games_tasks_and_an_analysis_of_the_codraw_dataset,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.169,madureira-schlangen-2023-instruction,"Brielen Madureira and David Schlangen. 2023. Instruction Clarification Requests in Multimodal Collaborative Dialogue Games: Tasks, and an Analysis of the CoDraw Dataset. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2303–2319, Dubrovnik, Croatia. Association for Computational Linguistics."
bootstrapping_multilingual_semantic_parsers_using_large_language_models,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.180,awasthi-etal-2023-bootstrapping,"Abhijeet Awasthi, Nitish Gupta, Bidisha Samanta, Shachi Dave, Sunita Sarawagi, and Partha Talukdar. 2023. Bootstrapping Multilingual Semantic Parsers using Large Language Models. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2455–2467, Dubrovnik, Croatia. Association for Computational Linguistics."
learning_for_microblogs_with_distant_supervision_political_forecasting_with_twitter,April,2012.0,EACL,https://aclanthology.org/E12-1062,marchetti-bowick-chambers-2012-learning,"Micol Marchetti-Bowick and Nathanael Chambers. 2012. Learning for Microblogs with Distant Supervision: Political Forecasting with Twitter. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 603–612, Avignon, France. Association for Computational Linguistics."
enhancing_financial_table_and_text_question_answering_with_tabular_graph_and_numerical_reasoning,November,2022.0,,https://aclanthology.org/2022.aacl-main.72,nararatwong-etal-2022-enhancing,"Rungsiman Nararatwong, Natthawut Kertkeidkachorn, and Ryutaro Ichise. 2022. Enhancing Financial Table and Text Question Answering with Tabular Graph and Numerical Reasoning. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 991–1000, Online only. Association for Computational Linguistics."
measuring_the_effect_of_influential_messages_on_varying_personas,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
supporting_land_reuse_of_former_open_pit_mining_sites_using_text_classification_and_active_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_unified_view_of_evaluation_metrics_for_structured_prediction,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.795,chen-etal-2023-unified,"Yunmo Chen, William Gantt, Tongfei Chen, Aaron White, and Benjamin Van Durme. 2023. A Unified View of Evaluation Metrics for Structured Prediction. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12868–12882, Singapore. Association for Computational Linguistics."
towards_a_unified_endtoend_approach_for_fully_unsupervised_crosslingual_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bygpt5_endtoend_styleconditioned_poetry_generation_with_tokenfree_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
federated_model_decomposition_with_private_vocabulary_for_text_classification,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.430,zhang-etal-2022-federated,"Zhuo Zhang, Xiangjing Hu, Lizhen Qu, Qifan Wang, and Zenglin Xu. 2022. Federated Model Decomposition with Private Vocabulary for Text Classification. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6413–6425, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
umic_an_unreferenced_metric_for_image_captioning_via_contrastive_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ondemand_injection_of_lexical_knowledge_for_recognising_textual_entailment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
readin_a_chinese_multitask_benchmark_with_realistic_and_diverse_input_noises,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
logfgaer_logicguided_finegrained_address_entity_recognition_from_multiturn_spoken_dialogue,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
are_scene_graphs_good_enough_to_improve_image_captioning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
otters_oneturn_topic_transitions_for_opendomain_dialogue,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ella_empowering_llms_for_interpretable_accurate_and_informative_legal_advice,August,2024.0,ACL,https://aclanthology.org/2024.acl-demos.36,hu-etal-2024-ella,"Yutong Hu, Kangcheng Luo, and Yansong Feng. 2024. ELLA: Empowering LLMs for Interpretable, Accurate and Informative Legal Advice. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 374–387, Bangkok, Thailand. Association for Computational Linguistics."
adversarial_domain_adaptation_using_artificial_titles_for_abstractive_title_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
feeding_what_you_need_by_understanding_what_you_learned,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
quantity_tagger_a_latentvariable_sequence_labeling_approach_to_solving_additionsubtraction_word_problems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
endtoend_deep_reinforcement_learning_based_coreference_resolution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
coherent_comments_generation_for_chinese_articles_with_a_graphtosequence_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
formnet_structural_encoding_beyond_sequential_modeling_in_form_document_information_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modeling_morphological_typology_for_unsupervised_learning_of_language_morphology,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mtvr_multilingual_moment_retrieval_in_videos,August,2021.0,,https://aclanthology.org/2021.acl-short.92,lei-etal-2021-mtvr,"Jie Lei, Tamara Berg, and Mohit Bansal. 2021. mTVR: Multilingual Moment Retrieval in Videos. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 726–734, Online. Association for Computational Linguistics."
check_it_againprogressive_visual_question_answering_via_visual_entailment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
zeroshot_multilabel_topic_inference_with_sentence_encoders_and_llms,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.1008,sarkar-etal-2023-zero,"Souvika Sarkar, Dongji Feng, and Shubhra Kanti Karmaker Santu. 2023. Zero-Shot Multi-Label Topic Inference with Sentence Encoders and LLMs. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16218–16233, Singapore. Association for Computational Linguistics."
delexicalized_word_embeddings_for_crosslingual_dependency_parsing,April,2017.0,EACL,https://aclanthology.org/E17-1023,dehouck-denis-2017-delexicalized,"Mathieu Dehouck and Pascal Denis. 2017. Delexicalized Word Embeddings for Cross-lingual Dependency Parsing. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 241–250, Valencia, Spain. Association for Computational Linguistics."
phmospell_phonological_and_morphological_knowledge_guided_chinese_spelling_check,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
topic_sensitive_attention_on_generic_corpora_corrects_sense_bias_in_pretrained_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ptuning_prompt_tuning_can_be_comparable_to_finetuning_across_scales_and_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neuraldriven_searchbased_paraphrase_generation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.180,fabre-etal-2021-neural,"Betty Fabre, Tanguy Urvoy, Jonathan Chevelu, and Damien Lolive. 2021. Neural-Driven Search-Based Paraphrase Generation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2100–2111, Online. Association for Computational Linguistics."
kinyabert_a_morphologyaware_kinyarwanda_language_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
kwja_a_unified_japanese_analyzer_based_on_foundation_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_compact_and_languagesensitive_multilingual_translation_method,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_comparison_of_clausal_coordinate_ellipsis_in_estonian_and_german_remarkably_similar_elision_rules_allow_a_languageindependent_ellipsisgeneration_module,April,2009.0,EACL,https://aclanthology.org/E09-2007,harbusch-etal-2009-comparison,"Karin Harbusch, Mare Koit, and Haldur Õim. 2009. A Comparison of Clausal Coordinate Ellipsis in Estonian and German: Remarkably Similar Elision Rules Allow a Language-Independent Ellipsis-Generation Module. In Proceedings of the Demonstrations Session at EACL 2009, pages 25–28, Athens, Greece. Association for Computational Linguistics."
increasing_visual_awareness_in_multimodal_neural_machine_translation_from_an_information_theoretic_perspective,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
investigating_personspecific_errors_in_chatoriented_dialogue_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
successfully_applying_the_stabilized_lottery_ticket_hypothesis_to_the_transformer_architecture,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
isi_at_the_sigmorphon_2017_shared_task_on_morphological_reinflection,August,2017.0,CoNLL,https://aclanthology.org/K17-2006,chakrabarty-garain-2017-isi,"Abhisek Chakrabarty and Utpal Garain. 2017. ISI at the SIGMORPHON 2017 Shared Task on Morphological Reinflection. In Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection, pages 66–70, Vancouver. Association for Computational Linguistics."
learning_latent_relations_for_temporal_knowledge_graph_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
when_words_fail_emojis_prevail_a_novel_architecture_for_generating_sarcastic_sentences_with_emoji_using_valence_reversal_and_semantic_incongruity,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mixedeffects_transformers_for_hierarchical_adaptation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
imputing_outofvocabulary_embeddings_with_love_makes_languagemodels_robust_with_little_cost,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
skip_ngrams_and_ranking_functions_for_predicting_script_events,April,2012.0,EACL,https://aclanthology.org/E12-1034,jans-etal-2012-skip,"Bram Jans, Steven Bethard, Ivan Vulić, and Marie Francine Moens. 2012. Skip N-grams and Ranking Functions for Predicting Script Events. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 336–344, Avignon, France. Association for Computational Linguistics."
responseanticipated_memory_for_ondemand_knowledge_integration_in_response_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_content_selection_in_summarization_of_novel_chapters,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multihead_highly_parallelized_lstm_decoder_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
weight_distillation_transferring_the_knowledge_in_neural_network_parameters,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
online_infix_probability_computation_for_probabilistic_finite_automata,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
representations_of_syntax_mask_useful_effects_of_constituency_and_dependency_structure_in_recursive_lstms,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
deseption_dual_sequence_prediction_and_adversarial_examples_for_improved_factchecking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crowdchecked_detecting_previously_factchecked_claims_in_social_media,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
spelling_error_correction_with_softmasked_bert,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crossing_the_threshold_idiomatic_machine_translation_through_retrieval_augmentation_and_loss_weighting,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.933,liu-etal-2023-crossing,"Emmy Liu, Aditi Chaudhary, and Graham Neubig. 2023. Crossing the Threshold: Idiomatic Machine Translation through Retrieval Augmentation and Loss Weighting. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15095–15111, Singapore. Association for Computational Linguistics."
decipherpref_analyzing_influential_factors_in_human_preference_judgments_via_gpt4,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modeling_and_prediction_of_online_product_review_helpfulness_a_survey,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatic_data_acquisition_for_event_coreference_resolution,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.101,choubey-huang-2021-automatic,"Prafulla Kumar Choubey and Ruihong Huang. 2021. Automatic Data Acquisition for Event Coreference Resolution. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1185–1196, Online. Association for Computational Linguistics."
constrained_policy_optimization_for_controlled_selflearning_in_conversational_ai_systems,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.5,kachuee-lee-2023-constrained,"Mohammad Kachuee and Sungjin Lee. 2023. Constrained Policy Optimization for Controlled Self-Learning in Conversational AI Systems. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 43–52, Toronto, Canada. Association for Computational Linguistics."
generative_dense_retrieval_memory_can_be_a_burden,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semantic_oppositeness_assisted_deep_contextual_modeling_for_automatic_rumor_detection_in_social_networks,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.31,de-silva-dou-2021-semantic,"Nisansa de Silva and Dejing Dou. 2021. Semantic Oppositeness Assisted Deep Contextual Modeling for Automatic Rumor Detection in Social Networks. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 405–415, Online. Association for Computational Linguistics."
semantic_shift_stability_efficient_way_to_detect_performance_degradation_of_word_embeddings_and_pretrained_language_models,November,2022.0,,https://aclanthology.org/2022.aacl-main.17,ishihara-etal-2022-semantic,"Shotaro Ishihara, Hiromu Takahashi, and Hono Shirai. 2022. Semantic Shift Stability: Efficient Way to Detect Performance Degradation of Word Embeddings and Pre-trained Language Models. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 205–216, Online only. Association for Computational Linguistics."
sentence_segmentation_in_narrative_transcripts_from_neuropsychological_tests_using_recurrent_convolutional_neural_networks,April,2017.0,EACL,https://aclanthology.org/E17-1030,treviso-etal-2017-sentence,"Marcos Treviso, Christopher Shulby, and Sandra Aluísio. 2017. Sentence Segmentation in Narrative Transcripts from Neuropsychological Tests using Recurrent Convolutional Neural Networks. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 315–325, Valencia, Spain. Association for Computational Linguistics."
a_contrastive_framework_for_learning_sentence_representations_from_pairwise_and_triplewise_perspective_in_angular_space,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improved_natural_language_learning_via_varianceregularization_support_vector_machines,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
inducing_search_keys_for_name_filtering,June,2007.0,,https://aclanthology.org/D07-1095,branting-2007-inducing,"L. Karl Branting. 2007. Inducing Search Keys for Name Filtering. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 906–914, Prague, Czech Republic. Association for Computational Linguistics."
paraphrase_acquisition_from_image_captions,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.243,gohsen-etal-2023-paraphrase,"Marcel Gohsen, Matthias Hagen, Martin Potthast, and Benno Stein. 2023. Paraphrase Acquisition from Image Captions. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3348–3358, Dubrovnik, Croatia. Association for Computational Linguistics."
automatic_detection_of_generated_text_is_easiest_when_humans_are_fooled,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adansp_uncertaintydriven_adaptive_decoding_in_neural_semantic_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
wetin_dey_with_these_comments_modeling_sociolinguistic_factors_affecting_codeswitching_behavior_in_nigerian_online_discussions,July,2019.0,ACL,https://aclanthology.org/P19-1625,ndubuisi-obi-etal-2019-wetin,"Innocent Ndubuisi-Obi, Sayan Ghosh, and David Jurgens. 2019. Wetin dey with these comments? Modeling Sociolinguistic Factors Affecting Code-switching Behavior in Nigerian Online Discussions. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 6204–6214, Florence, Italy. Association for Computational Linguistics."
dont_stop_me_now_using_global_dynamic_oracles_to_correct_training_biases_of_transitionbased_dependency_parsers,April,2017.0,EACL,https://aclanthology.org/E17-2051,aufrant-etal-2017-dont,"Lauriane Aufrant, Guillaume Wisniewski, and François Yvon. 2017. Don’t Stop Me Now! Using Global Dynamic Oracles to Correct Training Biases of Transition-Based Dependency Parsers. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 318–323, Valencia, Spain. Association for Computational Linguistics."
unsupervised_neural_machine_translation_with_future_rewarding,November,2019.0,CoNLL,https://aclanthology.org/K19-1027,wei-etal-2019-unsupervised,"Xiangpeng Wei, Yue Hu, Luxi Xing, and Li Gao. 2019. Unsupervised Neural Machine Translation with Future Rewarding. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 281–290, Hong Kong, China. Association for Computational Linguistics."
learning_contextual_embeddings_for_structural_semantic_similarity_using_categorical_information,August,2017.0,CoNLL,https://aclanthology.org/K17-1027,nicosia-moschitti-2017-learning,"Massimo Nicosia and Alessandro Moschitti. 2017. Learning Contextual Embeddings for Structural Semantic Similarity using Categorical Information. In Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), pages 260–270, Vancouver, Canada. Association for Computational Linguistics."
trnews_heterogeneous_userinterest_transfer_learning_for_news_recommendation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.62,hu-yang-2021-trnews,"Guangneng Hu and Qiang Yang. 2021. TrNews: Heterogeneous User-Interest Transfer Learning for News Recommendation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 734–744, Online. Association for Computational Linguistics."
click_contrastive_learning_for_injecting_contextual_knowledge_to_conversational_recommender_system,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.137,yang-etal-2023-click,"Hyeongjun Yang, Heesoo Won, Youbin Ahn, and Kyong-Ho Lee. 2023. CLICK: Contrastive Learning for Injecting Contextual Knowledge to Conversational Recommender System. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1875–1885, Dubrovnik, Croatia. Association for Computational Linguistics."
a_semiuniversal_pipelined_approach_to_the_conll_2017_ud_shared_task,August,2017.0,CoNLL,https://aclanthology.org/K17-3028,kanayama-etal-2017-semi,"Hiroshi Kanayama, Masayasu Muraoka, and Katsumasa Yoshikawa. 2017. A Semi-universal Pipelined Approach to the CoNLL 2017 UD Shared Task. In Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 265–273, Vancouver, Canada. Association for Computational Linguistics."
detecting_contradictory_covid19_drug_efficacy_claims_from_biomedical_literature,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
triplehybrid_energybased_model_makes_better_calibrated_natural_language_understanding_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
inseq_an_interpretability_toolkit_for_sequence_generation_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
selfadapted_utterance_selection_for_suicidal_ideation_detection_in_lifeline_conversations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
finentity_entitylevel_sentiment_classification_for_financial_texts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
annotating_online_misogyny,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
normbased_curriculum_learning_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cuttingoff_redundant_repeating_generations_for_neural_abstractive_summarization,April,2017.0,EACL,https://aclanthology.org/E17-2047,suzuki-nagata-2017-cutting,"Jun Suzuki and Masaaki Nagata. 2017. Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 291–297, Valencia, Spain. Association for Computational Linguistics."
localization_vs_semantics_visual_representations_in_unimodal_and_multimodal_models,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.146,li-etal-2024-localization,"Zhuowan Li, Cihang Xie, Benjamin Van Durme, and Alan Yuille. 2024. Localization vs. Semantics: Visual Representations in Unimodal and Multimodal Models. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2378–2390, St. Julian’s, Malta. Association for Computational Linguistics."
studying_generalisability_across_abusive_language_detection_datasets,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
selfregulated_interactive_sequencetosequence_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lifting_the_curse_of_capacity_gap_in_distilling_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tacoprompt_a_collaborative_multitask_prompt_learning_method_for_selfsupervised_taxonomy_completion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
framing_word_sense_disambiguation_as_a_multilabel_problem_for_modelagnostic_knowledge_integration,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fast_and_accurate_neural_machine_translation_with_translation_memory,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
discourse_representation_structure_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
carexpert_leveraging_large_language_models_for_incar_conversational_question_answering,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.56,rony-etal-2023-carexpert,"Md Rashad Al Hasan Rony, Christian Suess, Sinchana Ramakanth Bhat, Viju Sudhi, Julia Schneider, Maximilian Vogel, Roman Teucher, Ken Friedl, and Soumya Sahoo. 2023. CarExpert: Leveraging Large Language Models for In-Car Conversational Question Answering. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 586–604, Singapore. Association for Computational Linguistics."
discovering_lowrank_subspaces_for_languageagnostic_multilingual_representations,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.379,xie-etal-2022-discovering,"Zhihui Xie, Handong Zhao, Tong Yu, and Shuai Li. 2022. Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5617–5633, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
curriculum_learning_meets_weakly_supervised_multimodal_correlation_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
specter_documentlevel_representation_learning_using_citationinformed_transformers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
iepile_unearthing_large_scale_schemaconditioned_information_extraction_corpus,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
stereotyping_norwegian_salmon_an_inventory_of_pitfalls_in_fairness_benchmark_datasets,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gnner_reducing_overlapping_in_spanbased_ner_using_graph_neural_networks,May,2022.0,ACL,https://aclanthology.org/2022.acl-srw.9,zaratiana-etal-2022-gnner,"Urchade Zaratiana, Nadi Tomeh, Pierre Holat, and Thierry Charnois. 2022. GNNer: Reducing Overlapping in Span-based NER Using Graph Neural Networks. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 97–103, Dublin, Ireland. Association for Computational Linguistics."
text_adversarial_purification_as_defense_against_adversarial_attacks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
soft_contextual_data_augmentation_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
itist_at_the_sigmorphon_2019_shared_task_sparse_twoheaded_models_for_inflection,August,2019.0,ACL,https://aclanthology.org/W19-4207,peters-martins-2019-ist,"Ben Peters and André F. T. Martins. 2019. IT–IST at the SIGMORPHON 2019 Shared Task: Sparse Two-headed Models for Inflection. In Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 50–56, Florence, Italy. Association for Computational Linguistics."
bootstrapping_a_multilingual_partofspeech_tagger_in_one_personday,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multiturn_dialogue_response_generation_in_an_adversarial_learning_framework,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
faithfulnessaware_decoding_strategies_for_abstractive_summarization,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.210,wan-etal-2023-faithfulness,"David Wan, Mengwen Liu, Kathleen McKeown, Markus Dreyer, and Mohit Bansal. 2023. Faithfulness-Aware Decoding Strategies for Abstractive Summarization. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2864–2880, Dubrovnik, Croatia. Association for Computational Linguistics."
rule_and_tree_ensembles_for_unrestricted_coreference_resolution,June,2011.0,CoNLL,https://aclanthology.org/W11-1906,nogueira-dos-santos-lopes-carvalho-2011-rule,"Cicero Nogueira dos Santos and Davi Lopes Carvalho. 2011. Rule and Tree Ensembles for Unrestricted Coreference Resolution. In Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task, pages 51–55, Portland, Oregon, USA. Association for Computational Linguistics."
personalized_pagerank_with_syntagmatic_information_for_multilingual_word_sense_disambiguation,July,2020.0,ACL,https://aclanthology.org/2020.acl-demos.6,scozzafava-etal-2020-personalized,"Federico Scozzafava, Marco Maru, Fabrizio Brignone, Giovanni Torrisi, and Roberto Navigli. 2020. Personalized PageRank with Syntagmatic Information for Multilingual Word Sense Disambiguation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 37–46, Online. Association for Computational Linguistics."
glen_generative_retrieval_via_lexical_index_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
from_the_detection_of_toxic_spans_in_online_discussions_to_the_analysis_of_toxictocivil_transfer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
single_model_ensemble_using_pseudotags_and_distinct_vectors,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
core_a_fewshot_company_relation_classification_dataset_for_robust_domain_adaptation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.722,borchert-etal-2023-core,"Philipp Borchert, Jochen De Weerdt, Kristof Coussement, Arno De Caigny, and Marie-Francine Moens. 2023. CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation.. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11792–11806, Singapore. Association for Computational Linguistics."
hitszicrc_a_report_for_smm4h_shared_task_2019automatic_classification_and_extraction_of_adverse_effect_mentions_in_tweets,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pesco_promptenhanced_self_contrastive_learning_for_zeroshot_text_classification,July,2023.0,ACL,https://aclanthology.org/2023.acl-long.832,wang-etal-2023-pesco,"Yau-Shian Wang, Ta-Chung Chi, Ruohong Zhang, and Yiming Yang. 2023. PESCO: Prompt-enhanced Self Contrastive Learning for Zero-shot Text Classification. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 14897–14911, Toronto, Canada. Association for Computational Linguistics."
text_encoders_bottleneck_compositionality_in_contrastive_visionlanguage_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
vector_space_interpolation_for_query_expansion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
comparing_styles_across_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
building_persona_consistent_dialogue_agents_with_offline_reinforcement_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
text_fact_transfer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
objectoriented_neural_programming_oonp_for_document_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_attribution_method_for_siamese_encoders,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_vision_features_in_multimodal_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
frappe_framing_persuasion_and_propaganda_explorer,March,2024.0,EACL,https://aclanthology.org/2024.eacl-demo.22,sajwani-etal-2024-frappe,"Ahmed Sajwani, Alaa El Setohy, Ali Mekky, Diana Turmakhan, Lara Hassan, Mohamed El Zeftawy, Omar El Herraoui, Osama Mohammed Afzal, Qisheng Liao, Tarek Mahmoud, Zain Muhammad Mujahid, Muhammad Umar Salman, Muhammad Arslan Manzoor, Massa Baali, Jakub Piskorski, Nicolas Stefanovitch, Giovanni Da San Martino, and Preslav Nakov. 2024. FRAPPE: FRAming, Persuasion, and Propaganda Explorer. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 207–213, St. Julians, Malta. Association for Computational Linguistics."
vectorial_semantic_spaces_do_not_encode_human_judgments_of_intervention_similarity,October,2018.0,CoNLL,https://aclanthology.org/K18-1038,merlo-ackermann-2018-vectorial,"Paola Merlo and Francesco Ackermann. 2018. Vectorial Semantic Spaces Do Not Encode Human Judgments of Intervention Similarity. In Proceedings of the 22nd Conference on Computational Natural Language Learning, pages 392–401, Brussels, Belgium. Association for Computational Linguistics."
identifying_principals_and_accessories_in_a_complex_case_based_on_the_comprehension_of_fact_description,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
expand_highlight_generate_rldriven_document_generation_for_passage_reranking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
paed_zeroshot_persona_attribute_extraction_in_dialogues,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cognitive_graph_for_multihop_reading_comprehension_at_scale,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fastseq_make_sequence_generation_faster,August,2021.0,,https://aclanthology.org/2021.acl-demo.26,yan-etal-2021-fastseq,"Yu Yan, Fei Hu, Jiusheng Chen, Nikhil Bhendawade, Ting Ye, Yeyun Gong, Nan Duan, Desheng Cui, Bingyu Chi, and Ruofei Zhang. 2021. FastSeq: Make Sequence Generation Faster. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations, pages 218–226, Online. Association for Computational Linguistics."
training_neural_response_selection_for_taskoriented_dialogue_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
open_latest_revision_pdf_of_chimedgpt_a_chinese_medical_large_language_model_with_full_training_regime_and_better_alignment_to_human_preferences,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exact_yet_efficient_graph_parsing_bidirectional_locality_and_the_constructivist_hypothesis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
balanced_adversarial_training_balancing_tradeoffs_between_fickleness_and_obstinacy_in_nlp_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
morphological_inflection_with_phonological_features,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
managertower_aggregating_the_insights_of_unimodal_experts_for_visionlanguage_representation_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
midair_hand_gestures_for_postediting_of_machine_translation,August,2021.0,,https://aclanthology.org/2021.acl-long.527,albo-jamara-etal-2021-mid,"Rashad Albo Jamara, Nico Herbig, Antonio Krüger, and Josef van Genabith. 2021. Mid-Air Hand Gestures for Post-Editing of Machine Translation. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 6763–6773, Online. Association for Computational Linguistics."
recess_resource_for_extracting_cause_effect_and_signal_spans,November,2023.0,,https://aclanthology.org/2023.ijcnlp-main.6,tan-etal-2023-recess,"Fiona Anting Tan, Hansi Hettiarachchi, Ali Hürriyetoğlu, Nelleke Oostdijk, Tommaso Caselli, Tadashi Nomoto, Onur Uca, Farhana Ferdousi Liza, and See-Kiong Ng. 2023. RECESS: Resource for Extracting Cause, Effect, and Signal Spans. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 66–82, Nusa Dua, Bali. Association for Computational Linguistics."
enhancing_ancient_chinese_understanding_with_derived_noisy_syntax_trees,July,2023.0,ACL,https://aclanthology.org/2023.acl-srw.15,wang-etal-2023-enhancing,"Ping Wang, Shitou Zhang, Zuchao Li, and Jingrui Hou. 2023. Enhancing Ancient Chinese Understanding with Derived Noisy Syntax Trees. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), pages 83–92, Toronto, Canada. Association for Computational Linguistics."
on_the_limits_of_learning_to_actively_learn_semantic_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
prompting_large_language_models_with_chainofthought_for_fewshot_knowledge_base_question_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_conll_2008_shared_task_on_joint_parsing_of_syntactic_and_semantic_dependencies,August,2008.0,CoNLL,https://aclanthology.org/W08-2121,surdeanu-etal-2008-conll,"Mihai Surdeanu, Richard Johansson, Adam Meyers, Lluís Màrquez, and Joakim Nivre. 2008. The CoNLL 2008 Shared Task on Joint Parsing of Syntactic and Semantic Dependencies. In CoNLL 2008: Proceedings of the Twelfth Conference on Computational Natural Language Learning, pages 159–177, Manchester, England. Coling 2008 Organizing Committee."
hubless_nearest_neighbor_search_for_bilingual_lexicon_induction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatic_creation_of_named_entity_recognition_datasets_by_querying_phrase_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_general_framework_for_adaptation_of_neural_machine_translation_to_simultaneous_translation,December,2020.0,AACL,https://aclanthology.org/2020.aacl-main.23,chen-etal-2020-general,"Yun Chen, Liangyou Li, Xin Jiang, Xiao Chen, and Qun Liu. 2020. A General Framework for Adaptation of Neural Machine Translation to Simultaneous Translation. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, pages 191–200, Suzhou, China. Association for Computational Linguistics."
reconstructing_native_language_typology_from_foreign_language_usage,June,2014.0,CoNLL,https://aclanthology.org/W14-1603,berzak-etal-2014-reconstructing,"Yevgeni Berzak, Roi Reichart, and Boris Katz. 2014. Reconstructing Native Language Typology from Foreign Language Usage. In Proceedings of the Eighteenth Conference on Computational Natural Language Learning, pages 21–29, Ann Arbor, Michigan. Association for Computational Linguistics."
a_practical_perspective_on_latent_structured_prediction_for_coreference_resolution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dylora_parameterefficient_tuning_of_pretrained_models_using_dynamic_searchfree_lowrank_adaptation,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.239,valipour-etal-2023-dylora,"Mojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev, and Ali Ghodsi. 2023. DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3274–3287, Dubrovnik, Croatia. Association for Computational Linguistics."
using_cycles_and_quasicycles_to_disambiguate_dictionary_glosses,March,2009.0,EACL,https://aclanthology.org/E09-1068,navigli-2009-using,"Roberto Navigli. 2009. Using Cycles and Quasi-Cycles to Disambiguate Dictionary Glosses. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 594–602, Athens, Greece. Association for Computational Linguistics."
lattice_path_edit_distance_a_romanizationaware_edit_distance_for_extracting_misspellingcorrection_pairs_from_japanese_search_query_logs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
youtoo_detection_of_personal_recollections_of_sexual_harassment_on_social_media,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rethinking_model_selection_and_decoding_for_keyphrase_generation_with_pretrained_sequencetosequence_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mokb6_a_multilingual_open_knowledge_base_completion_benchmark,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
high_performance_segmentation_of_spontaneous_speech_using_part_of_speech_and_trigger_word_information,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
according_to_____prompting_language_models_improves_quoting_from_pretraining_data,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.140,weller-etal-2024-according,"Orion Weller, Marc Marone, Nathaniel Weir, Dawn Lawrie, Daniel Khashabi, and Benjamin Van Durme. 2024. “According to . . . ”: Prompting Language Models Improves Quoting from Pre-Training Data. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2288–2301, St. Julian’s, Malta. Association for Computational Linguistics."
fewshot_named_entity_recognition_with_selfdescribing_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
path_spuriousnessaware_reinforcement_learning_for_multihop_knowledge_graph_reasoning,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.232,jiang-etal-2023-path,"Chunyang Jiang, Tianchen Zhu, Haoyi Zhou, Chang Liu, Ting Deng, Chunming Hu, and Jianxin Li. 2023. Path Spuriousness-aware Reinforcement Learning for Multi-Hop Knowledge Graph Reasoning. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3181–3192, Dubrovnik, Croatia. Association for Computational Linguistics."
does_more_data_always_yield_better_translations,April,2012.0,EACL,https://aclanthology.org/E12-1016,gasco-etal-2012-data,"Guillem Gascó, Martha-Alicia Rocha, Germán Sanchis-Trilles, Jesús Andrés-Ferrer, and Francisco Casacuberta. 2012. Does more data always yield better translations?. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 152–161, Avignon, France. Association for Computational Linguistics."
small_data_big_impact_leveraging_minimal_data_for_effective_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
robust_neural_machine_translation_with_joint_textual_and_phonetic_embedding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
efficient_parsing_of_syntactic_and_semantic_dependency_structures,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
two_is_better_than_many_binary_classification_as_an_effective_approach_to_multichoice_question_answering,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.691,ghosal-etal-2022-two,"Deepanway Ghosal, Navonil Majumder, Rada Mihalcea, and Soujanya Poria. 2022. Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question Answering. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10158–10166, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
amr_parsing_as_sequencetograph_transduction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
stable_table_generation_framework_for_encoderdecoder_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_multimodal_analysis_of_influencer_content_on_twitter,November,2023.0,,https://aclanthology.org/2023.ijcnlp-main.15,sanchez-villegas-etal-2023-multimodal,"Danae Sánchez Villegas, Catalina Goanta, and Nikolaos Aletras. 2023. A Multimodal Analysis of Influencer Content on Twitter. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 225–240, Nusa Dua, Bali. Association for Computational Linguistics."
learning_to_update_natural_language_comments_based_on_code_changes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
can_llms_substitute_sql_comparing_resource_utilization_of_querying_llms_versus_traditional_relational_databases,November,2024.0,EMNLP,https://aclanthology.org/2024.emnlp-main.1109,pan-etal-2024-contexts,"Ruotong Pan, Boxi Cao, Hongyu Lin, Xianpei Han, Jia Zheng, Sirui Wang, Xunliang Cai, and Le Sun. 2024. Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 19844–19863, Miami, Florida, USA. Association for Computational Linguistics."
mitigating_inconsistencies_in_multimodal_sentiment_analysis_under_uncertain_missing_modalities,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bleurt_has_universal_translations_an_analysis_of_automatic_metrics_by_minimum_risk_training,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neuralsymbolic_commonsense_reasoner_with_relation_predictors,August,2021.0,,https://aclanthology.org/2021.acl-short.100,moghimifar-etal-2021-neural,"Farhad Moghimifar, Lizhen Qu, Terry Yue Zhuo, Gholamreza Haffari, and Mahsa Baktashmotlagh. 2021. Neural-Symbolic Commonsense Reasoner with Relation Predictors. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 797–802, Online. Association for Computational Linguistics."
unifying_the_convergences_in_multilingual_neural_machine_translation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.458,huang-etal-2022-unifying,"Yichong Huang, Xiaocheng Feng, Xinwei Geng, and Bing Qin. 2022. Unifying the Convergences in Multilingual Neural Machine Translation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6822–6835, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
simplified_abugidas,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
analogical_math_word_problems_solving_with_enhanced_problemsolution_association,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
conentail_an_entailmentbased_framework_for_universal_zero_and_few_shot_classification_with_supervised_contrastive_pretraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
prompt_tuning_with_contradictory_intentions_for_sarcasm_recognition,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.25,liu-etal-2023-prompt,"Yiyi Liu, Ruqing Zhang, Yixing Fan, Jiafeng Guo, and Xueqi Cheng. 2023. Prompt Tuning with Contradictory Intentions for Sarcasm Recognition. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 328–339, Dubrovnik, Croatia. Association for Computational Linguistics."
rotateqvs_representing_temporal_information_as_rotations_in_quaternion_vector_space_for_temporal_knowledge_graph_completion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_examplebased_nmt_with_multilevenshtein_transformers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_problem_of_human_label_variation_on_ground_truth_in_data_modeling_and_evaluation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.731,plank-2022-problem,"Barbara Plank. 2022. The “Problem” of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10671–10682, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
joint_detection_and_coreference_resolution_of_entities_and_events_with_documentlevel_context_aggregation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
readonce_transformers_reusable_representations_of_text_for_transformers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
parameterefficient_tuning_with_special_token_adaptation,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.60,yang-etal-2023-parameter,"Xiaocong Yang, James Y. Huang, Wenxuan Zhou, and Muhao Chen. 2023. Parameter-Efficient Tuning with Special Token Adaptation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 865–872, Dubrovnik, Croatia. Association for Computational Linguistics."
monah_multimodal_narratives_for_humans_to_analyze_conversations,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.37,kim-etal-2021-monah,"Joshua Y. Kim, Kalina Yacef, Greyson Kim, Chunfeng Liu, Rafael Calvo, and Silas Taylor. 2021. MONAH: Multi-Modal Narratives for Humans to analyze conversations. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 466–479, Online. Association for Computational Linguistics."
analysis_of_automatic_annotation_suggestions_for_hard_discourselevel_tasks_in_expert_domains,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fast_and_accurate_unlexicalized_parsing_via_structural_annotations,April,2014.0,EACL,https://aclanthology.org/E14-4032,schlund-etal-2014-fast,"Maximilian Schlund, Michael Luttenberger, and Javier Esparza. 2014. Fast and Accurate Unlexicalized Parsing via Structural Annotations. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 164–168, Gothenburg, Sweden. Association for Computational Linguistics."
exploring_automatic_evaluation_methods_based_on_a_decoderbased_llm_for_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
speech_translation_and_the_endtoend_promise_taking_stock_of_where_we_are,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automated_generation_of_storytelling_vocabulary_from_photographs_for_use_in_aac,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_neural_text_simplification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enriching_language_models_with_visuallygrounded_word_vectors_and_the_lancaster_sensorimotor_norms,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
knowledge_discovery_and_hypothesis_generation_from_online_patient_forums_a_research_proposal,July,2019.0,ACL,https://aclanthology.org/P19-2009,dirkson-2019-knowledge,"Anne Dirkson. 2019. Knowledge Discovery and Hypothesis Generation from Online Patient Forums: A Research Proposal. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 64–73, Florence, Italy. Association for Computational Linguistics."
incremental_discontinuous_phrase_structure_parsing_with_the_gap_transition,April,2017.0,EACL,https://aclanthology.org/E17-1118,coavoux-crabbe-2017-incremental,"Maximin Coavoux and Benoît Crabbé. 2017. Incremental Discontinuous Phrase Structure Parsing with the GAP Transition. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 1259–1270, Valencia, Spain. Association for Computational Linguistics."
crosslingual_entity_alignment_with_incidental_supervision,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.53,chen-etal-2021-cross,"Muhao Chen, Weijia Shi, Ben Zhou, and Dan Roth. 2021. Cross-lingual Entity Alignment with Incidental Supervision. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 645–658, Online. Association for Computational Linguistics."
what_makes_pretrained_language_models_better_zeroshot_learners,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_speakeraware_coattention_framework_for_medical_dialogue_information_extraction,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.315,xia-etal-2022-speaker,"Yuan Xia, Zhenhui Shi, Jingbo Zhou, Jiayu Xu, Chao Lu, Yehui Yang, Lei Wang, Haifeng Huang, Xia Zhang, and Junwei Liu. 2022. A Speaker-Aware Co-Attention Framework for Medical Dialogue Information Extraction. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4777–4786, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
edited_media_understanding_frames_reasoning_about_the_intent_and_implications_of_visual_misinformation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
compositional_data_augmentation_for_abstractive_conversation_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
detecting_label_errors_by_using_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_block_metropolishastings_sampler_for_controllable_energybased_text_generation,December,2023.0,CoNLL,https://aclanthology.org/2023.conll-1.26,forristal-etal-2023-block,"Jarad Forristal, Fatemehsadat Mireshghallah, Greg Durrett, and Taylor Berg-Kirkpatrick. 2023. A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation. In Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL), pages 403–413, Singapore. Association for Computational Linguistics."
a_predictive_factor_analysis_of_social_biases_and_taskperformance_in_pretrained_masked_language_models,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.683,zhou-etal-2023-predictive,"Yi Zhou, Jose Camacho-Collados, and Danushka Bollegala. 2023. A Predictive Factor Analysis of Social Biases and Task-Performance in Pretrained Masked Language Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11082–11100, Singapore. Association for Computational Linguistics."
mutual_information_alleviates_hallucinations_in_abstractive_summarization,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.399,van-der-poel-etal-2022-mutual,"Liam van der Poel, Ryan Cotterell, and Clara Meister. 2022. Mutual Information Alleviates Hallucinations in Abstractive Summarization. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5956–5965, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
multimodal_abstractive_summarization_for_how2_videos,July,2019.0,ACL,https://aclanthology.org/P19-1659,palaskar-etal-2019-multimodal,"Shruti Palaskar, Jindřich Libovický, Spandana Gella, and Florian Metze. 2019. Multimodal Abstractive Summarization for How2 Videos. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 6587–6596, Florence, Italy. Association for Computational Linguistics."
prompting_language_models_for_linguistic_structure,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
autore_documentlevel_relation_extraction_with_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
spectral_learning_for_nondeterministic_dependency_parsing,April,2012.0,EACL,https://aclanthology.org/E12-1042,luque-etal-2012-spectral,"Franco M. Luque, Ariadna Quattoni, Borja Balle, and Xavier Carreras. 2012. Spectral Learning for Non-Deterministic Dependency Parsing. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 409–419, Avignon, France. Association for Computational Linguistics."
wikidiverse_a_multimodal_entity_linking_dataset_with_diversified_contextual_topics_and_entity_types,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_the_tenor_of_labeling_reevaluating_topic_models_for_content_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
word_associations_and_the_distance_properties_of_contextaware_word_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pairbased_joint_encoding_with_relational_graph_convolutional_networks_for_emotioncause_pair_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
identify_align_and_integrate_matching_knowledge_graphs_to_commonsense_reasoning_tasks,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.192,bauer-bansal-2021-identify,"Lisa Bauer and Mohit Bansal. 2021. Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning Tasks. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2259–2272, Online. Association for Computational Linguistics."
crossmedia_structured_common_space_for_multimedia_event_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluating_parameter_efficient_learning_for_generation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.319,xu-etal-2022-evaluating,"Peng Xu, Mostofa Patwary, Shrimai Prabhumoye, Virginia Adams, Ryan Prenger, Wei Ping, Nayeon Lee, Mohammad Shoeybi, and Bryan Catanzaro. 2022. Evaluating Parameter Efficient Learning for Generation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4824–4833, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
promptbased_logical_semantics_enhancement_for_implicit_discourse_relation_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
searching_for_fingerspelled_content_in_american_sign_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
joint_parsing_and_semantic_role_labeling,June,2005.0,CoNLL,https://aclanthology.org/W05-0636,sutton-mccallum-2005-joint,"Charles Sutton and Andrew McCallum. 2005. Joint Parsing and Semantic Role Labeling. In Proceedings of the Ninth Conference on Computational Natural Language Learning (CoNLL-2005), pages 225–228, Ann Arbor, Michigan. Association for Computational Linguistics."
mclip_multilingual_clip_via_crosslingual_transfer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
do_neural_language_models_show_preferences_for_syntactic_formalisms,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
graphbased_dependency_parsing_with_graph_neural_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
efficient_diagnosis_assignment_using_unstructured_clinical_notes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
structural_knowledge_distillation_tractably_distilling_information_for_structured_predictor,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_holistic_bias_extending_descriptors_and_patterns_to_unveil_demographic_biases_in_languages_at_scale,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.874,costa-jussa-etal-2023-multilingual,"Marta Costa-jussà, Pierre Andrews, Eric Smith, Prangthip Hansanti, Christophe Ropers, Elahe Kalbassi, Cynthia Gao, Daniel Licht, and Carleigh Wood. 2023. Multilingual Holistic Bias: Extending Descriptors and Patterns to Unveil Demographic Biases in Languages at Scale. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 14141–14156, Singapore. Association for Computational Linguistics."
endtoend_modeling_via_information_tree_for_oneshot_natural_language_spatial_video_grounding,May,2022.0,ACL,https://aclanthology.org/2022.acl-long.596,li-etal-2022-end,"Mengze Li, Tianbao Wang, Haoyu Zhang, Shengyu Zhang, Zhou Zhao, Jiaxu Miao, Wenqiao Zhang, Wenming Tan, Jin Wang, Peng Wang, Shiliang Pu, and Fei Wu. 2022. End-to-End Modeling via Information Tree for One-Shot Natural Language Spatial Video Grounding. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 8707–8717, Dublin, Ireland. Association for Computational Linguistics."
conditional_generation_of_temporallyordered_event_sequences,August,2021.0,,https://aclanthology.org/2021.acl-long.555,lin-etal-2021-conditional,"Shih-Ting Lin, Nathanael Chambers, and Greg Durrett. 2021. Conditional Generation of Temporally-ordered Event Sequences. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 7142–7157, Online. Association for Computational Linguistics."
learning_domainspecialised_representations_for_crosslingual_biomedical_entity_linking,August,2021.0,,https://aclanthology.org/2021.acl-short.72,liu-etal-2021-learning-domain,"Fangyu Liu, Ivan Vulić, Anna Korhonen, and Nigel Collier. 2021. Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 565–574, Online. Association for Computational Linguistics."
evidencebased_factual_error_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
active_learning_for_sequence_tagging_with_deep_pretrained_models_and_bayesian_uncertainty_estimates,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.145,shelmanov-etal-2021-active,"Artem Shelmanov, Dmitri Puzyrev, Lyubov Kupriyanova, Denis Belyakov, Daniil Larionov, Nikita Khromov, Olga Kozlova, Ekaterina Artemova, Dmitry V. Dylov, and Alexander Panchenko. 2021. Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1698–1712, Online. Association for Computational Linguistics."
learning_from_chunkbased_feedback_in_neural_machine_translation,July,2018.0,ACL,https://aclanthology.org/P18-2052,petrushkov-etal-2018-learning,"Pavel Petrushkov, Shahram Khadivi, and Evgeny Matusov. 2018. Learning from Chunk-based Feedback in Neural Machine Translation. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 326–331, Melbourne, Australia. Association for Computational Linguistics."
learning_to_predict_concept_ordering_for_common_sense_generation,November,2023.0,,https://aclanthology.org/2023.ijcnlp-short.2,zhang-etal-2023-learning-predict,"Tianhui Zhang, Danushka Bollegala, and Bei Peng. 2023. Learning to Predict Concept Ordering for Common Sense Generation. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 10–19, Nusa Dua, Bali. Association for Computational Linguistics."
learning_relatedness_between_types_with_prototypes_for_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
determining_relative_argument_specificity_and_stance_for_complex_argumentative_structures,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_generateandrank_framework_with_semantic_type_regularization_for_biomedical_concept_normalization,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.748,xu-etal-2020-generate,"Dongfang Xu, Zeyu Zhang, and Steven Bethard. 2020. A Generate-and-Rank Framework with Semantic Type Regularization for Biomedical Concept Normalization. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8452–8464, Online. Association for Computational Linguistics."
prince_prefixmasked_decoding_for_knowledge_enhanced_sequencetosequence_pretraining,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.171,xu-etal-2022-prince,"Song Xu, Haoran Li, Peng Yuan, Youzheng Wu, and Xiaodong He. 2022. PRINCE: Prefix-Masked Decoding for Knowledge Enhanced Sequence-to-Sequence Pre-Training. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 2675–2681, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
steer_semantic_turn_extensionexpansion_recognition_for_voice_assistants,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
classification_of_moral_foundations_in_microblog_political_discourse,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modeling_label_correlations_for_ultrafine_entity_typing_with_neural_pairwise_conditional_random_field,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.459,jiang-etal-2022-modeling,"Chengyue Jiang, Yong Jiang, Weiqi Wu, Pengjun Xie, and Kewei Tu. 2022. Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6836–6847, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
quantifying_information_of_tokens_for_simple_and_flexible_simultaneous_machine_translation,December,2023.0,CoNLL,https://aclanthology.org/2023.conll-1.14,lee-etal-2023-quantifying,"DongHyun Lee, Minkyung Park, and Byung-Jun Lee. 2023. Quantifying Information of Tokens for Simple and Flexible Simultaneous Machine Translation. In Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL), pages 200–210, Singapore. Association for Computational Linguistics."
improving_metalearning_for_lowresource_text_classification_and_generation_via_memory_imitation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
triggerner_learning_with_entity_triggers_as_explanations_for_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bootstrapped_unsupervised_sentence_representation_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
when_did_that_happen__linking_events_and_relations_to_timestamps,April,2012.0,EACL,https://aclanthology.org/E12-1019,hovy-etal-2012-happen,"Dirk Hovy, James Fan, Alfio Gliozzo, Siddharth Patwardhan, and Christopher Welty. 2012. When Did that Happen? — Linking Events and Relations to Timestamps. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 185–193, Avignon, France. Association for Computational Linguistics."
dynasent_a_dynamic_benchmark_for_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
visual_spatial_description_controlled_spatialoriented_imagetotext_generation,June,1994.0,ACL,https://aclanthology.org/P94-1049,hong-1994-integration,"Tao Hong. 1994. Integration Of Visual Inter-word Constraints And Linguistic Knowledge In Degraded Text Recognition. In 32nd Annual Meeting of the Association for Computational Linguistics, pages 328–330, Las Cruces, New Mexico, USA. Association for Computational Linguistics."
label_words_are_anchors_an_information_flow_perspective_for_understanding_incontext_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
efficient_document_retrieval_by_endtoend_refining_and_quantizing_bert_embedding_with_contrastive_product_quantization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
extracting_multiplerelations_in_onepass_with_pretrained_transformers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
zeroshot_word_sense_disambiguation_using_sense_definition_embeddings,July,2019.0,ACL,https://aclanthology.org/P19-1568,kumar-etal-2019-zero,"Sawan Kumar, Sharmistha Jat, Karan Saxena, and Partha Talukdar. 2019. Zero-shot Word Sense Disambiguation using Sense Definition Embeddings. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 5670–5681, Florence, Italy. Association for Computational Linguistics."
discourse_as_a_function_of_event_profiling_discourse_structure_in_news_articles_around_the_main_event,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fair_filtering_of_automatically_induced_rules,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.34,bajpai-etal-2024-fair,"Divya Jyoti Bajpai, Ayush Maheshwari, Manjesh Hanawal, and Ganesh Ramakrishnan. 2024. FAIR: Filtering of Automatically Induced Rules. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 573–588, St. Julian’s, Malta. Association for Computational Linguistics."
combining_a_selforganising_map_with_memorybased_learning,,2001.0,CoNLL,https://aclanthology.org/W01-0702,hammerton-tjong-kim-sang-2001-combining,James Hammerton and Erik F. Tjong Kim Sang. 2001. Combining a self-organising map with memory-based learning. In Proceedings of the ACL 2001 Workshop on Computational Natural Language Learning (ConLL).
multilingual_dependency_parsing_and_domain_adaptation_using_desr,June,2007.0,,https://aclanthology.org/D07-1119,attardi-etal-2007-multilingual,"Giuseppe Attardi, Felice Dell’Orletta, Maria Simi, Atanas Chanev, and Massimiliano Ciaramita. 2007. Multilingual Dependency Parsing and Domain Adaptation using DeSR. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 1112–1118, Prague, Czech Republic. Association for Computational Linguistics."
reduce_human_labor_on_evaluating_conversational_information_retrieval_system_a_humanmachine_collaboration_approach,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
personalized_machine_translation_preserving_original_author_traits,April,2017.0,EACL,https://aclanthology.org/E17-1101,rabinovich-etal-2017-personalized,"Ella Rabinovich, Raj Nath Patel, Shachar Mirkin, Lucia Specia, and Shuly Wintner. 2017. Personalized Machine Translation: Preserving Original Author Traits. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 1074–1084, Valencia, Spain. Association for Computational Linguistics."
a_new_view_of_multimodal_language_analysis_audio_and_video_features_as_text_styles,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.167,sun-etal-2021-new,"Zhongkai Sun, Prathusha K Sarma, Yingyu Liang, and William Sethares. 2021. A New View of Multi-modal Language Analysis: Audio and Video Features as Text “Styles”. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1956–1965, Online. Association for Computational Linguistics."
improving_pretrained_multilingual_model_with_vocabulary_expansion,November,2019.0,CoNLL,https://aclanthology.org/K19-1030,wang-etal-2019-improving,"Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, and Dong Yu. 2019. Improving Pre-Trained Multilingual Model with Vocabulary Expansion. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 316–327, Hong Kong, China. Association for Computational Linguistics."
stre_self_attentive_edit_quality_prediction_in_wikipedia,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
noiseqa_challenge_set_evaluation_for_usercentric_question_answering,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.259,ravichander-etal-2021-noiseqa,"Abhilasha Ravichander, Siddharth Dalmia, Maria Ryskina, Florian Metze, Eduard Hovy, and Alan W Black. 2021. NoiseQA: Challenge Set Evaluation for User-Centric Question Answering. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2976–2992, Online. Association for Computational Linguistics."
highres_highlightbased_referenceless_evaluation_of_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enconter_entity_constrained_progressive_sequence_generation_via_insertionbased_transformer,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.313,hsieh-etal-2021-enconter,"Lee Hsun Hsieh, Yang-Yin Lee, and Ee-Peng Lim. 2021. Enconter: Entity Constrained Progressive Sequence Generation via Insertion-based Transformer. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3590–3599, Online. Association for Computational Linguistics."
alleviating_oversmoothing_for_unsupervised_sentence_representation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_dependency_parsers_using_combinatory_categorial_grammar,April,2014.0,EACL,https://aclanthology.org/E14-4031,ambati-etal-2014-improving,"Bharat Ram Ambati, Tejaswini Deoskar, and Mark Steedman. 2014. Improving Dependency Parsers using Combinatory Categorial Grammar. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 159–163, Gothenburg, Sweden. Association for Computational Linguistics."
understanding_transformer_memorization_recall_through_idioms,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.19,haviv-etal-2023-understanding,"Adi Haviv, Ido Cohen, Jacob Gidron, Roei Schuster, Yoav Goldberg, and Mor Geva. 2023. Understanding Transformer Memorization Recall Through Idioms. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 248–264, Dubrovnik, Croatia. Association for Computational Linguistics."
can_you_put_it_all_together_evaluating_conversational_agents_ability_to_blend_skills,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
intergps_interpretable_geometry_problem_solving_with_formal_language_and_symbolic_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dependency_parsing_and_domain_adaptation_with_lr_models_and_parser_ensembles,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
correlating_neural_and_symbolic_representations_of_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
equate_a_benchmark_evaluation_framework_for_quantitative_reasoning_in_natural_language_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
supporting_complaints_investigation_for_nursing_and_midwifery_regulatory_agencies,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_extractive_summarizationbased_representations_for_accurate_and_explainable_collaborative_filtering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fedid_federated_interactive_distillation_for_largescale_pretraining_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_effective_approach_to_unsupervised_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
entity_extraction_in_low_resource_domains_with_selective_pretraining_of_large_language_models,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.61,mahapatra-etal-2022-entity,"Aniruddha Mahapatra, Sharmila Reddy Nangi, Aparna Garimella, and Anandhavelu N. 2022. Entity Extraction in Low Resource Domains with Selective Pre-training of Large Language Models. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 942–951, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
improving_contrastive_learning_in_emotion_recognition_in_conversation_via_data_augmentation_and_decoupled_neutral_emotion,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.134,kang-cho-2024-improving,"Yujin Kang and Yoon-Sik Cho. 2024. Improving Contrastive Learning in Emotion Recognition in Conversation via Data Augmentation and Decoupled Neutral Emotion. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2194–2208, St. Julian’s, Malta. Association for Computational Linguistics."
distill_the_image_to_nowhere_inversion_knowledge_distillation_for_multimodal_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
topicregularized_authorship_representation_learning,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.70,sawatphol-etal-2022-topic,"Jitkapat Sawatphol, Nonthakit Chaiwong, Can Udomcharoenchaikit, and Sarana Nutanong. 2022. Topic-Regularized Authorship Representation Learning. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1076–1082, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
neural_retrieval_for_question_answering_with_crossattention_supervised_data_augmentation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_prism_module_for_semantic_disentanglement_in_name_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fewshot_learning_through_contextual_data_augmentation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.90,arthaud-etal-2021-shot,"Farid Arthaud, Rachel Bawden, and Alexandra Birch. 2021. Few-shot learning through contextual data augmentation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1049–1062, Online. Association for Computational Linguistics."
saroco_detecting_satire_in_a_novel_romanian_corpus_of_news_articles,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
premise_selection_in_natural_language_mathematical_texts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
contextual_embeddings_when_are_they_worth_it,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semisupervised_domain_adaptation_for_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
how_transferable_are_attribute_controllers_on_pretrained_multilingual_translation_models,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.20,liu-niehues-2024-transferable,"Danni Liu and Jan Niehues. 2024. How Transferable are Attribute Controllers on Pretrained Multilingual Translation Models?. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 334–348, St. Julian’s, Malta. Association for Computational Linguistics."
improving_multihop_question_answering_over_knowledge_graphs_using_knowledge_base_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_systematic_comparison_of_training_criteria_for_statistical_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
value_understanding_dialect_disparity_in_nlu,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_opensource_natural_language_generator_for_owl_ontologies_and_its_use_in_protege_and_second_life,April,2009.0,EACL,https://aclanthology.org/E09-2005,galanis-etal-2009-open,"Dimitrios Galanis, George Karakatsiotis, Gerasimos Lampouras, and Ion Androutsopoulos. 2009. An Open-Source Natural Language Generator for OWL Ontologies and its Use in Protege and Second Life. In Proceedings of the Demonstrations Session at EACL 2009, pages 17–20, Athens, Greece. Association for Computational Linguistics."
parsing_linearizations_appreciate_pos_tags__but_some_are_fussy_about_errors,November,2022.0,,https://aclanthology.org/2022.aacl-short.16,munoz-ortiz-etal-2022-parsing,"Alberto Muñoz-Ortiz, Mark Anderson, David Vilares, and Carlos Gómez-Rodríguez. 2022. Parsing linearizations appreciate PoS tags - but some are fussy about errors. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 117–127, Online only. Association for Computational Linguistics."
diner_a_large_realistic_dataset_for_evaluating_compositional_generalization,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.924,hu-etal-2023-diner,"Chengang Hu, Xiao Liu, and Yansong Feng. 2023. DiNeR: A Large Realistic Dataset for Evaluating Compositional Generalization. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 14938–14947, Singapore. Association for Computational Linguistics."
kunlp_grammatical_error_correction_system_for_conll2013_shared_task,August,2013.0,CoNLL,https://aclanthology.org/W13-3617,yi-etal-2013-kunlp,"Bong-Jun Yi, Ho-Chang Lee, and Hae-Chang Rim. 2013. KUNLP Grammatical Error Correction System For CoNLL-2013 Shared Task. In Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task, pages 123–127, Sofia, Bulgaria. Association for Computational Linguistics."
covidvts_fact_extraction_and_verification_on_short_video_platforms,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.14,liu-etal-2023-covid,"Fuxiao Liu, Yaser Yacoob, and Abhinav Shrivastava. 2023. COVID-VTS: Fact Extraction and Verification on Short Video Platforms. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 178–188, Dubrovnik, Croatia. Association for Computational Linguistics."
topical_pagerank_a_model_of_scientific_expertise_for_bibliographic_search,April,2014.0,EACL,https://aclanthology.org/E14-1053,jardine-teufel-2014-topical,"James Jardine and Simone Teufel. 2014. Topical PageRank: A Model of Scientific Expertise for Bibliographic Search. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 501–510, Gothenburg, Sweden. Association for Computational Linguistics."
learning_cospeech_gesture_for_multimodal_aphasia_type_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_new_surprise_measure_for_extracting_interesting_relationships_between_persons,April,2021.0,EACL,https://aclanthology.org/2021.eacl-demos.27,kamigaito-etal-2021-new,"Hidetaka Kamigaito, Jingun Kwon, Young-In Song, and Manabu Okumura. 2021. A New Surprise Measure for Extracting Interesting Relationships between Persons. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 231–237, Online. Association for Computational Linguistics."
compressing_context_to_enhance_inference_efficiency_of_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
imposing_relation_structure_in_languagemodel_embeddings_using_contrastive_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
are_message_passing_neural_networks_really_helpful_for_knowledge_graph_completion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
diffusionner_boundary_diffusion_for_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
substitutionbased_semantic_change_detection_using_contextual_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_representation_distillation_with_contrastive_learning,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.108,tan-etal-2023-multilingual,"Weiting Tan, Kevin Heffernan, Holger Schwenk, and Philipp Koehn. 2023. Multilingual Representation Distillation with Contrastive Learning. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1477–1490, Dubrovnik, Croatia. Association for Computational Linguistics."
parameterefficient_finetuning_without_introducing_new_latency,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bloom_library_multimodal_datasets_in_300_languages_for_a_variety_of_downstream_tasks,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.590,leong-etal-2022-bloom,"Colin Leong, Joshua Nemecek, Jacob Mansdorfer, Anna Filighera, Abraham Owodunni, and Daniel Whitenack. 2022. Bloom Library: Multimodal Datasets in 300+ Languages for a Variety of Downstream Tasks. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8608–8621, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
fewshot_learning_for_slot_tagging_with_attentive_relational_network,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.134,oguz-vu-2021-shot,"Cennet Oguz and Ngoc Thang Vu. 2021. Few-shot Learning for Slot Tagging with Attentive Relational Network. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1566–1572, Online. Association for Computational Linguistics."
active_instruction_tuning_improving_crosstask_generalization_by_training_on_prompt_sensitive_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
templateguided_grammatical_error_feedback_comment_generation,May,2023.0,EACL,https://aclanthology.org/2023.eacl-srw.10,coyne-2023-template,"Steven Coyne. 2023. Template-guided Grammatical Error Feedback Comment Generation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 94–104, Dubrovnik, Croatia. Association for Computational Linguistics."
dont_buy_it_reassessing_the_ad_understanding_abilities_of_contrastive_multimodal_models,August,2024.0,ACL,https://aclanthology.org/2024.acl-short.77,bavaresco-etal-2024-dont,"Anna Bavaresco, Alberto Testoni, and Raquel Fernández. 2024. Don’t Buy it! Reassessing the Ad Understanding Abilities of Contrastive Multimodal Models. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 870–879, Bangkok, Thailand. Association for Computational Linguistics."
lessons_learned_in_multilingual_grounded_language_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
clusterllm_large_language_models_as_a_guide_for_text_clustering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
to_copy_rather_than_memorize_a_vertical_learning_paradigm_for_knowledge_graph_completion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fewshot_incontext_learning_on_knowledge_base_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mining_wordnet_for_a_fuzzy_sentiment_sentiment_tag_extraction_from_wordnet_glosses,April,2006.0,EACL,https://aclanthology.org/E06-1027,andreevskaia-bergler-2006-mining,"Alina Andreevskaia and Sabine Bergler. 2006. Mining WordNet for a Fuzzy Sentiment: Sentiment Tag Extraction from WordNet Glosses. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 209–216, Trento, Italy. Association for Computational Linguistics."
persona_or_context_towards_building_context_adaptive_personalized_persuasive_virtual_sales_assistant,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
longrange_sequence_modeling_with_predictable_sparse_attention,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
autodebias_debiasing_masked_language_models_with_automated_biased_prompts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multidomain_sentiment_relevance_classification_with_automatic_representation_learning,April,2014.0,EACL,https://aclanthology.org/E14-4039,scheible-schutze-2014-multi,"Christian Scheible and Hinrich Schütze. 2014. Multi-Domain Sentiment Relevance Classification with Automatic Representation Learning. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 200–204, Gothenburg, Sweden. Association for Computational Linguistics."
neuraldinf_a_neural_network_based_framework_for_measuring_document_influence,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
paraphrase_generation_by_learning_how_to_edit_from_samples,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluate_amr_graph_similarity_via_selfsupervised_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_sounding_pixel_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
embracing_ambiguity_shifting_the_training_target_of_nli_models,August,2021.0,,https://aclanthology.org/2021.acl-short.109,meissner-etal-2021-embracing,"Johannes Mario Meissner, Napat Thumwanit, Saku Sugawara, and Akiko Aizawa. 2021. Embracing Ambiguity: Shifting the Training Target of NLI Models. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 862–869, Online. Association for Computational Linguistics."
towards_lowresource_automatic_program_repair_with_metalearning_and_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
diffs2ut_a_semantic_preserving_diffusion_model_for_textless_direct_speechtospeech_translation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.709,zhu-etal-2023-diffs2ut,"Yongxin Zhu, Zhujin Gao, Xinyuan Zhou, Ye Zhongyi, and Linli Xu. 2023. DiffS2UT: A Semantic Preserving Diffusion Model for Textless Direct Speech-to-Speech Translation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11573–11583, Singapore. Association for Computational Linguistics."
inferential_machine_comprehension_answering_questions_by_recursively_deducing_the_evidence_chain_from_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
spage_a_speaker_and_positionaware_graph_neural_network_model_for_emotion_recognition_in_conversation,November,2022.0,,https://aclanthology.org/2022.aacl-main.12,liang-etal-2022-page,"Chen Liang, Jing Xu, Yangkun Lin, Chong Yang, and Yongliang Wang. 2022. S+PAGE: A Speaker and Position-Aware Graph Neural Network Model for Emotion Recognition in Conversation. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 148–157, Online only. Association for Computational Linguistics."
multilingual_and_crosslingual_document_classification_a_metalearning_approach,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.168,van-der-heijden-etal-2021-multilingual,"Niels van der Heijden, Helen Yannakoudakis, Pushkar Mishra, and Ekaterina Shutova. 2021. Multilingual and cross-lingual document classification: A meta-learning approach. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1966–1976, Online. Association for Computational Linguistics."
selfensemble_of_nbest_generation_hypotheses_by_lexically_constrained_decoding,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.905,miyano-etal-2023-self,"Ryota Miyano, Tomoyuki Kajiwara, and Yuki Arase. 2023. Self-Ensemble of N-best Generation Hypotheses by Lexically Constrained Decoding. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 14653–14661, Singapore. Association for Computational Linguistics."
a_just_and_comprehensive_strategy_for_using_nlp_to_address_online_abuse,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
you_only_need_attention_to_traverse_trees,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_transformer_models_by_reordering_their_sublayers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
empathy_intent_drives_empathy_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
documentlevel_machine_translation_with_large_language_models,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.1036,wang-etal-2023-document-level,"Longyue Wang, Chenyang Lyu, Tianbo Ji, Zhirui Zhang, Dian Yu, Shuming Shi, and Zhaopeng Tu. 2023. Document-Level Machine Translation with Large Language Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16646–16661, Singapore. Association for Computational Linguistics."
leveraging_locality_in_abstractive_text_summarization,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.408,liu-etal-2022-leveraging-locality,"Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, and Dragomir Radev. 2022. Leveraging Locality in Abstractive Text Summarization. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6081–6093, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
its_how_you_do_things_that_matters_attending_to_process_to_better_serve_indigenous_communities_with_language_technologies,October,2005.0,,https://aclanthology.org/H05-1015,filatova-prager-2005-tell,"Elena Filatova and John Prager. 2005. Tell Me What You Do and I’ll Tell You What You Are: Learning Occupation-Related Activities for Biographies. In Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, pages 113–120, Vancouver, British Columbia, Canada. Association for Computational Linguistics."
discourse_on_asr_measurement_introducing_the_arpoca_assessment_tool,May,2022.0,ACL,https://aclanthology.org/2022.acl-srw.28,merz-scrivner-2022-discourse,"Megan Merz and Olga Scrivner. 2022. Discourse on ASR Measurement: Introducing the ARPOCA Assessment Tool. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 366–372, Dublin, Ireland. Association for Computational Linguistics."
anade10_a_novel_data_set_for_benchmarking_analogy_detection_and_extraction,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.103,bhavya-etal-2024-anade1,"Bhavya Bhavya, Shradha Sehgal, Jinjun Xiong, and ChengXiang Zhai. 2024. AnaDE1.0: A Novel Data Set for Benchmarking Analogy Detection and Extraction. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1723–1737, St. Julian’s, Malta. Association for Computational Linguistics."
why_should_this_article_be_deleted_transparent_stance_detection_in_multilingual_wikipedia_editor_discussions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
scalabledsc_a_structural_template_prompt_approach_to_scalable_dialogue_state_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
documentlevel_event_extraction_via_heterogeneous_graphbased_interaction_model_with_a_tracker,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
position_bias_mitigation_a_knowledgeaware_graph_model_for_emotion_cause_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
transforming_complex_sentences_into_a_semantic_hierarchy,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
vilexnorm_a_lexical_normalization_corpus_for_vietnamese_social_media_text,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.85,nguyen-etal-2024-vilexnorm,"Thanh-Nhi Nguyen, Thanh-Phong Le, and Kiet Nguyen. 2024. ViLexNorm: A Lexical Normalization Corpus for Vietnamese Social Media Text. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1421–1437, St. Julian’s, Malta. Association for Computational Linguistics."
spectral_learning_of_refinement_hmms,August,2013.0,CoNLL,https://aclanthology.org/W13-3507,stratos-etal-2013-spectral,"Karl Stratos, Alexander Rush, Shay B. Cohen, and Michael Collins. 2013. Spectral Learning of Refinement HMMs. In Proceedings of the Seventeenth Conference on Computational Natural Language Learning, pages 56–64, Sofia, Bulgaria. Association for Computational Linguistics."
exploiting_summarization_data_to_help_text_simplification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_transformers_as_compact_dataefficient_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
location_attention_for_extrapolation_to_longer_sequences,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_study_of_the_importance_of_external_knowledge_in_the_named_entity_recognition_task,July,2018.0,ACL,https://aclanthology.org/P18-2039,seyler-etal-2018-study,"Dominic Seyler, Tatiana Dembelova, Luciano Del Corro, Johannes Hoffart, and Gerhard Weikum. 2018. A Study of the Importance of External Knowledge in the Named Entity Recognition Task. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 241–246, Melbourne, Australia. Association for Computational Linguistics."
fcoref_fast_accurate_and_easy_to_use_coreference_resolution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dating_documents_using_graph_convolution_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
how_much_attention_do_you_need_a_granular_analysis_of_neural_machine_translation_architectures,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
your_spouse_needs_professional_help_determining_the_contextual_appropriateness_of_messages_through_modeling_social_relationships,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
detecting_errors_in_partofspeech_annotation,August,2024.0,ACL,https://aclanthology.org/2024.acl-long.123,weber-genzel-etal-2024-varierr,"Leon Weber-Genzel, Siyao Peng, Marie-Catherine De Marneffe, and Barbara Plank. 2024. VariErr NLI: Separating Annotation Error from Human Label Variation. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2256–2269, Bangkok, Thailand. Association for Computational Linguistics."
cognate_transformer_for_automated_phonological_reconstruction_and_cognate_reflex_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unicorn_unified_cognitive_signal_reconstruction_bridging_cognitive_signals_and_human_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
task_and_sentiment_adaptation_for_appraisal_tagging,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.144,tian-etal-2023-task,"Lin Tian, Xiuzhen Zhang, Myung Hee Kim, and Jennifer Biggs. 2023. Task and Sentiment Adaptation for Appraisal Tagging. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1960–1970, Dubrovnik, Croatia. Association for Computational Linguistics."
examining_consistency_of_visual_commonsense_reasoning_based_on_person_grounding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
humanintheloop_for_data_collection_a_multitarget_counter_narrative_dataset_to_fight_online_hate_speech,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
polylm_learning_about_polysemy_through_language_modeling,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.45,ansell-etal-2021-polylm,"Alan Ansell, Felipe Bravo-Marquez, and Bernhard Pfahringer. 2021. PolyLM: Learning about Polysemy through Language Modeling. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 563–574, Online. Association for Computational Linguistics."
simple_and_effective_text_simplification_using_semantic_and_neural_methods,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
common_round_application_of_language_technologies_to_largescale_web_debates,April,2017.0,EACL,https://aclanthology.org/E17-3002,uszkoreit-etal-2017-common,"Hans Uszkoreit, Aleksandra Gabryszak, Leonhard Hennig, Jörg Steffen, Renlong Ai, Stephan Busemann, Jon Dehdari, Josef van Genabith, Georg Heigold, Nils Rethmeier, Raphael Rubino, Sven Schmeier, Philippe Thomas, He Wang, and Feiyu Xu. 2017. Common Round: Application of Language Technologies to Large-Scale Web Debates. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 5–8, Valencia, Spain. Association for Computational Linguistics."
attention_modeling_for_targeted_sentiment,April,2017.0,EACL,https://aclanthology.org/E17-2091,liu-zhang-2017-attention,"Jiangming Liu and Yue Zhang. 2017. Attention Modeling for Targeted Sentiment. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 572–577, Valencia, Spain. Association for Computational Linguistics."
halomi_a_manually_annotated_benchmark_for_multilingual_hallucination_and_omission_detection_in_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
every_bite_is_an_experience_key_point_analysis_of_business_reviews,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_question_answering_over_incomplete_kbs_with_knowledgeaware_reader,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_sourcetarget_domain_mismatch_problem_in_machine_translation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.130,shen-etal-2021-source,"Jiajun Shen, Peng-Jen Chen, Matthew Le, Junxian He, Jiatao Gu, Myle Ott, Michael Auli, and Marc’Aurelio Ranzato. 2021. The Source-Target Domain Mismatch Problem in Machine Translation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1519–1533, Online. Association for Computational Linguistics."
discourseaware_neural_extractive_text_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
guide_the_manytoone_assignment_open_information_extraction_via_iouaware_optimal_transport,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crossdomain_and_crosslingual_abusive_language_detection_a_hybrid_approach_with_deep_learning_and_a_multilingual_lexicon,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multigranularity_hierarchical_attention_fusion_networks_for_reading_comprehension_and_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_large_language_models_for_classical_philology,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatic_evaluation_of_local_topic_quality,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gender_biases_in_automatic_evaluation_metrics_for_image_captioning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_dynamic_contextualised_word_embeddings_via_templatebased_temporal_adaptation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_conll2014_shared_task_on_grammatical_error_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
be_selfish_but_wisely_investigating_the_impact_of_agent_personality_in_mixedmotive_humanagent_interactions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
xqa_a_crosslingual_opendomain_question_answering_dataset,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
binary_and_ternary_natural_language_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_sensitivity_and_stability_of_model_interpretations_in_nlp,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rare_tokens_degenerate_all_tokens_improving_neural_text_generation_via_adaptive_gradient_gating_for_rare_token_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
distilling_knowledge_for_searchbased_structured_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generating_logical_forms_from_graph_representations_of_text_and_entities,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
attention_is_not_all_you_need_for_commonsense_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
episodic_memory_reader_learning_what_to_remember_for_question_answering_from_streaming_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
assessing_the_ability_of_selfattention_networks_to_learn_word_order,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
opt_oslopotsdamteesside_pipelining_rules_rankers_and_classifier_ensembles_for_shallow_discourse_parsing,August,2016.0,CoNLL,https://aclanthology.org/K16-2002,oepen-etal-2016-opt,"Stephan Oepen, Jonathon Read, Tatjana Scheffler, Uladzimir Sidarenka, Manfred Stede, Erik Velldal, and Lilja Øvrelid. 2016. OPT: Oslo–Potsdam–Teesside. Pipelining Rules, Rankers, and Classifier Ensembles for Shallow Discourse Parsing. In Proceedings of the CoNLL-16 shared task, pages 20–26, Berlin, Germany. Association for Computational Linguistics."
compression_of_generative_pretrained_language_models_via_quantization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
leveraging_finetuned_large_language_models_with_lora_for_effective_claim_claimer_and_claim_object_detection,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.156,kotitsas-etal-2024-leveraging,"Sotiris Kotitsas, Panagiotis Kounoudis, Eleni Koutli, and Haris Papageorgiou. 2024. Leveraging fine-tuned Large Language Models with LoRA for Effective Claim, Claimer, and Claim Object Detection. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2540–2554, St. Julian’s, Malta. Association for Computational Linguistics."
when_does_parameterefficient_transfer_learning_work_for_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_training_of_crosslingual_word_embeddings,April,2017.0,EACL,https://aclanthology.org/E17-1084,duong-etal-2017-multilingual,"Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird, and Trevor Cohn. 2017. Multilingual Training of Crosslingual Word Embeddings. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 894–904, Valencia, Spain. Association for Computational Linguistics."
parallel_data_augmentation_for_formality_style_transfer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
simple_and_effective_multiparagraph_reading_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
resineditor_a_schemaguided_hierarchical_event_graph_visualizer_and_editor,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tailored_sequence_to_sequence_models_to_different_conversation_scenarios,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adapting_the_rasp_system_for_the_conll07_domainadaptation_task,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
translating_away_translationese_without_parallel_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
align_before_attend_aligning_visual_and_textual_features_for_multimodal_hateful_content_detection,March,2024.0,EACL,https://aclanthology.org/2024.eacl-srw.12,hossain-etal-2024-align,"Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque, and Sarah Masud Preum. 2024. Align before Attend: Aligning Visual and Textual Features for Multimodal Hateful Content Detection. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 162–174, St. Julian’s, Malta. Association for Computational Linguistics."
faking_fake_news_for_real_fake_news_detection_propagandaloaded_training_data_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
eraser_a_benchmark_to_evaluate_rationalized_nlp_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gated_embeddings_in_endtoend_speech_recognition_for_conversationalcontext_fusion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
deep_metric_learning_to_hierarchically_rank__an_application_in_product_retrieval,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.11,koo-etal-2023-deep,"Kee Kiat Koo, Ashutosh Joshi, Nishaanth Reddy, Karim Bouyarmane, Ismail Tutar, Vaclav Petricek, and Changhe Yuan. 2023. Deep Metric Learning to Hierarchically Rank - An Application in Product Retrieval. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 104–112, Singapore. Association for Computational Linguistics."
bertram_improved_word_embeddings_have_big_impact_on_contextualized_model_performance,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
speakerly_a_voicebased_writing_assistant_for_text_composition,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.38,kumar-etal-2023-speakerly,"Dhruv Kumar, Vipul Raheja, Alice Kaiser-Schatzlein, Robyn Perry, Apurva Joshi, Justin Hugues-Nuger, Samuel Lou, and Navid Chowdhury. 2023. Speakerly: A Voice-based Writing Assistant for Text Composition. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 396–407, Singapore. Association for Computational Linguistics."
multigranularity_structural_knowledge_distillation_for_language_model_compression,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
covidfact_fact_extraction_and_verification_of_realworld_claims_on_covid19_pandemic,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
condensing_multilingual_knowledge_with_lightweight_languagespecific_modules,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluating_paraphrastic_robustness_in_textual_entailment_models,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.76,verma-etal-2023-evaluating,"Dhruv Verma, Yash Kumar Lal, Shreyashee Sinha, Benjamin Van Durme, and Adam Poliak. 2023. Evaluating Paraphrastic Robustness in Textual Entailment Models. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 880–892, Toronto, Canada. Association for Computational Linguistics."
speak_to_your_parser_interactive_texttosql_with_natural_language_feedback,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploiting_multimodal_reinforcement_learning_for_simultaneous_machine_translation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.281,ive-etal-2021-exploiting,"Julia Ive, Andy Mingren Li, Yishu Miao, Ozan Caglayan, Pranava Madhyastha, and Lucia Specia. 2021. Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3222–3233, Online. Association for Computational Linguistics."
jointcl_a_joint_contrastive_learning_framework_for_zeroshot_stance_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
deep_dominance__how_to_properly_compare_deep_neural_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gaussian_mixture_latent_vector_grammars,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
willtheywontthey_a_very_large_dataset_for_stance_detection_on_twitter,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
selfsupervised_graph_masking_pretraining_for_graphtotext_generation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.321,han-shareghi-2022-self,"Jiuzhou Han and Ehsan Shareghi. 2022. Self-supervised Graph Masking Pre-training for Graph-to-Text Generation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4845–4853, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
par_political_actor_representation_learning_with_social_context_and_expert_knowledge,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.824,feng-etal-2022-par,"Shangbin Feng, Zhaoxuan Tan, Zilong Chen, Ningnan Wang, Peisheng Yu, Qinghua Zheng, Xiaojun Chang, and Minnan Luo. 2022. PAR: Political Actor Representation Learning with Social Context and Expert Knowledge. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 12022–12036, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
experiments_on_morphological_reinflection_conll2018_shared_task,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
textomics_a_dataset_for_genomics_data_summary_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
interactive_machine_comprehension_with_information_seeking_agents,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
identifying_incorrect_labels_in_the_conll2003_corpus,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
beyond_prefixbased_interactive_translation_prediction,August,2016.0,CoNLL,https://aclanthology.org/K16-1020,gonzalez-rubio-etal-2016-beyond,"Jesús González-Rubio, Daniel Ortiz-Martínez, Francisco Casacuberta, and José Miguel Benedi Ruiz. 2016. Beyond Prefix-Based Interactive Translation Prediction. In Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, pages 198–207, Berlin, Germany. Association for Computational Linguistics."
distinguish_confusing_law_articles_for_legal_judgment_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_influence_of_regional_pronunciation_variation_on_childrens_spelling_and_the_potential_benefits_of_accent_adapted_spellcheckers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_the_limits_of_fewshot_link_prediction_in_knowledge_graphs,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.245,jambor-etal-2021-exploring,"Dora Jambor, Komal Teru, Joelle Pineau, and William L. Hamilton. 2021. Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2816–2822, Online. Association for Computational Linguistics."
think_visually_question_answering_through_virtual_imagery,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
spellgcn_incorporating_phonological_and_visual_similarities_into_language_models_for_chinese_spelling_check,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
language_modeling_for_codemixing_the_role_of_linguistic_theory_based_synthetic_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
can_we_predict_new_facts_with_open_knowledge_graph_embeddings_a_benchmark_for_open_link_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multipassage_machine_reading_comprehension_with_crosspassage_answer_verification,July,2018.0,ACL,https://aclanthology.org/P18-1178,wang-etal-2018-multi-passage,"Yizhong Wang, Kai Liu, Jing Liu, Wei He, Yajuan Lyu, Hua Wu, Sujian Li, and Haifeng Wang. 2018. Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1918–1927, Melbourne, Australia. Association for Computational Linguistics."
explaining_and_generalizing_skipgram_through_exponential_family_principal_component_analysis,March,1992.0,ANLP,https://aclanthology.org/A92-1002,smith-etal-1992-dialog,"Ronnie W. Smith, D. Richard Hipp, and Alan W. Biermann. 1992. A Dialog Control Algorithm and Its Performance. In Third Conference on Applied Natural Language Processing, pages 9–16, Trento, Italy. Association for Computational Linguistics."
bipartite_flatgraph_network_for_nested_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
superior_and_efficient_fully_unsupervised_patternbased_concept_acquisition_using_an_unsupervised_parser,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_abstractive_meeting_summarization_with_multisentence_compression_and_budgeted_submodular_maximization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_abstractive_document_summarization_with_salient_information_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_understanding_linear_word_analogies,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_personalized_sentiment_model_with_textual_and_contextual_information,November,2019.0,CoNLL,https://aclanthology.org/K19-1093,guo-etal-2019-personalized,"Siwen Guo, Sviatlana Höhn, and Christoph Schommer. 2019. A Personalized Sentiment Model with Textual and Contextual Information. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 992–1001, Hong Kong, China. Association for Computational Linguistics."
unveiling_the_essence_of_poetry_introducing_a_comprehensive_dataset_and_benchmark_for_poem_summarization,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.920,mahbub-etal-2023-unveiling,"Ridwan Mahbub, Ifrad Khan, Samiha Anuva, Md Shihab Shahriar, Md Tahmid Rahman Laskar, and Sabbir Ahmed. 2023. Unveiling the Essence of Poetry: Introducing a Comprehensive Dataset and Benchmark for Poem Summarization. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 14878–14886, Singapore. Association for Computational Linguistics."
a_probabilistic_model_for_text_categorization_based_on_a_single_random_variable_with_multiple_values,October,1994.0,ANLP,https://aclanthology.org/A94-1027,iwayama-tokunaga-1994-probabilistic,"Makoto Iwayama and Takenobu Tokunaga. 1994. A Probabilistic Model for Text Categorization: Based on a Single Random Variable with Multiple Values. In Fourth Conference on Applied Natural Language Processing, pages 162–167, Stuttgart, Germany. Association for Computational Linguistics."
movie101_a_new_movie_understanding_benchmark,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mediahg_rethinking_eyecatchy_features_in_social_media_headline_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
efficient_encoders_for_streaming_sequence_tagging,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.31,kaushal-etal-2023-efficient,"Ayush Kaushal, Aditya Gupta, Shyam Upadhyay, and Manaal Faruqui. 2023. Efficient Encoders for Streaming Sequence Tagging. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 418–429, Dubrovnik, Croatia. Association for Computational Linguistics."
continual_relation_learning_via_episodic_memory_activation_and_reconsolidation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
recovering_gold_from_black_sand_multilingual_dense_passage_retrieval_with_hard_and_false_negative_samples,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.730,shen-etal-2022-recovering,"Tianhao Shen, Mingtong Liu, Ming Zhou, and Deyi Xiong. 2022. Recovering Gold from Black Sand: Multilingual Dense Passage Retrieval with Hard and False Negative Samples. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10659–10670, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
acquiring_a_dictionary_of_emotionprovoking_events,April,2014.0,EACL,https://aclanthology.org/E14-4025,vu-etal-2014-acquiring,"Hoa Trong Vu, Graham Neubig, Sakriani Sakti, Tomoki Toda, and Satoshi Nakamura. 2014. Acquiring a Dictionary of Emotion-Provoking Events. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 128–132, Gothenburg, Sweden. Association for Computational Linguistics."
on_the_evaluation_of_neural_selective_prediction_methods_for_natural_language_processing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
plmbased_world_models_for_textbased_games,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mmcoqa_conversational_question_answering_over_text_tables_and_images,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_text_representations_for_500k_classification_tasks_on_named_entity_disambiguation,October,2018.0,CoNLL,https://aclanthology.org/K18-1017,barrena-etal-2018-learning,"Ander Barrena, Aitor Soroa, and Eneko Agirre. 2018. Learning Text Representations for 500K Classification Tasks on Named Entity Disambiguation. In Proceedings of the 22nd Conference on Computational Natural Language Learning, pages 171–180, Brussels, Belgium. Association for Computational Linguistics."
improving_contextual_query_rewrite_for_conversational_ai_agents_through_userpreference_feedback_learning,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.41,sun-etal-2023-improving,"Zhongkai Sun, Yingxue Zhou, Jie Hao, Xing Fan, Yanbin Lu, Chengyuan Ma, Wei Shen, and Chenlei Guo. 2023. Improving Contextual Query Rewrite for Conversational AI Agents through User-preference Feedback Learning. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 432–439, Singapore. Association for Computational Linguistics."
from_brain_space_to_distributional_space_the_perilous_journeys_of_fmri_decoding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
human_guided_exploitation_of_interpretable_attention_patterns_in_summarization_and_topic_segmentation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.694,li-etal-2022-human,"Raymond Li, Wen Xiao, Linzi Xing, Lanjun Wang, Gabriel Murray, and Giuseppe Carenini. 2022. Human Guided Exploitation of Interpretable Attention Patterns in Summarization and Topic Segmentation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10189–10204, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
bbtv2_towards_a_gradientfree_future_with_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cassandra_a_multipurpose_configurable_voiceenabled_humancomputerinterface,April,2017.0,EACL,https://aclanthology.org/E17-3009,boros-etal-2017-cassandra,"Tiberiu Boros, Stefan Daniel Dumitrescu, and Sonia Pipa. 2017. CASSANDRA: A multipurpose configurable voice-enabled human-computer-interface. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 33–36, Valencia, Spain. Association for Computational Linguistics."
scidtb_discourse_dependency_treebank_for_scientific_abstracts,July,2018.0,ACL,https://aclanthology.org/P18-2071,yang-li-2018-scidtb,"An Yang and Sujian Li. 2018. SciDTB: Discourse Dependency TreeBank for Scientific Abstracts. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 444–449, Melbourne, Australia. Association for Computational Linguistics."
class_based_influence_functions_for_error_detection,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.104,nguyen-duc-etal-2023-class,"Thang Nguyen-Duc, Hoang Thanh-Tung, Quan Hung Tran, Dang Huu-Tien, Hieu Nguyen, Anh T. V. Dau, and Nghi Bui. 2023. Class based Influence Functions for Error Detection. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1204–1218, Toronto, Canada. Association for Computational Linguistics."
linguistic_productivity_the_case_of_determiners_in_english,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dureaderretrieval_a_largescale_chinese_benchmark_for_passage_retrieval_from_web_search_engine,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.357,qiu-etal-2022-dureader,"Yifu Qiu, Hongyu Li, Yingqi Qu, Ying Chen, QiaoQiao She, Jing Liu, Hua Wu, and Haifeng Wang. 2022. DuReader-Retrieval: A Large-scale Chinese Benchmark for Passage Retrieval from Web Search Engine. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5326–5338, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
mitigating_hallucinations_and_offtarget_machine_translation_with_sourcecontrastive_and_languagecontrastive_decoding,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.4,sennrich-etal-2024-mitigating,"Rico Sennrich, Jannis Vamvas, and Alireza Mohammadshahi. 2024. Mitigating Hallucinations and Off-target Machine Translation with Source-Contrastive and Language-Contrastive Decoding. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 21–33, St. Julian’s, Malta. Association for Computational Linguistics."
zeroshot_crosslingual_semantic_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mixtureofdomainadapters_decoupling_and_injecting_domain_knowledge_to_pretrained_language_models_memories,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_partofspeech_acquisition_for_resourcescarce_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_better_ud_parsing_deep_contextualized_word_embeddings_ensemble_and_treebank_concatenation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_spanlevel_interactions_for_aspect_sentiment_triplet_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
impli_investigating_nli_models_performance_on_figurative_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_adaptive_segmentation_policy_for_endtoend_simultaneous_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
finegrained_interest_matching_for_neural_news_recommendation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
debiasing_generative_named_entity_recognition_by_calibrating_sequence_likelihood,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pay_attention_when_you_pay_the_bills_a_multilingual_corpus_with_dependencybased_and_semantic_annotation_of_collocations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
collaborative_dialogue_in_minecraft,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lefttoright_parsing_and_bilexical_contextfree_grammars,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_incremental_learning_of_word_embeddings_using_context_informativeness,July,2019.0,ACL,https://aclanthology.org/P19-2022,kabbach-etal-2019-towards,"Alexandre Kabbach, Kristina Gulordava, and Aurélie Herbelot. 2019. Towards Incremental Learning of Word Embeddings Using Context Informativeness. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 162–168, Florence, Italy. Association for Computational Linguistics."
drts_parsing_with_structureaware_encoding_and_decoding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
data_similarity_is_not_enough_to_explain_language_model_performance,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.695,yauney-etal-2023-data,"Gregory Yauney, Emily Reif, and David Mimno. 2023. Data Similarity is Not Enough to Explain Language Model Performance. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11295–11304, Singapore. Association for Computational Linguistics."
dependency_parsing_of_hungarian_baseline_results_and_challenges,April,2012.0,EACL,https://aclanthology.org/E12-1007,farkas-etal-2012-dependency,"Richárd Farkas, Veronika Vincze, and Helmut Schmid. 2012. Dependency Parsing of Hungarian: Baseline Results and Challenges. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 55–65, Avignon, France. Association for Computational Linguistics."
argu_a_controllable_factual_argument_generator,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nugget_proposal_networks_for_chinese_event_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
its_not_only_what_you_say_its_also_who_its_said_to_counterfactual_analysis_of_interactive_behavior_in_the_courtroom,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
content_and_topologyaware_representation_learning_for_scientific_multiliterature,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cder_efficient_mt_evaluation_using_block_movements,April,2006.0,EACL,https://aclanthology.org/E06-1031,leusch-etal-2006-cder,"Gregor Leusch, Nicola Ueffing, and Hermann Ney. 2006. CDER: Efficient MT Evaluation Using Block Movements. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 241–248, Trento, Italy. Association for Computational Linguistics."
unsupervised_opinion_summarisation_in_the_wasserstein_space,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.589,song-etal-2022-unsupervised,"Jiayu Song, Iman Munire Bilal, Adam Tsakalidis, Rob Procter, and Maria Liakata. 2022. Unsupervised Opinion Summarisation in the Wasserstein Space. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8592–8607, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
can_synthetic_translations_improve_bitext_quality,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
system_combination_via_quality_estimation_for_grammatical_error_correction,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.785,qorib-ng-2023-system,"Muhammad Reza Qorib and Hwee Tou Ng. 2023. System Combination via Quality Estimation for Grammatical Error Correction. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12746–12759, Singapore. Association for Computational Linguistics."
proofread_fixes_all_errors_with_one_tap,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_distributional_hypothesis_does_not_fully_explain_the_benefits_of_masked_language_model_pretraining,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.637,chiang-yogatama-2023-distributional,"Ting-Rui Chiang and Dani Yogatama. 2023. The Distributional Hypothesis Does Not Fully Explain the Benefits of Masked Language Model Pretraining. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 10305–10321, Singapore. Association for Computational Linguistics."
disambiguating_falsealarm_hashtag_usages_in_tweets_for_irony_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adversarial_soft_prompt_tuning_for_crossdomain_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dynamic_contextualized_word_embeddings,August,2021.0,,https://aclanthology.org/2021.acl-long.542,hofmann-etal-2021-dynamic,"Valentin Hofmann, Janet Pierrehumbert, and Hinrich Schütze. 2021. Dynamic Contextualized Word Embeddings. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 6970–6984, Online. Association for Computational Linguistics."
improving_factual_consistency_of_abstractive_summarization_via_question_answering,August,2021.0,,https://aclanthology.org/2021.acl-long.536,nan-etal-2021-improving,"Feng Nan, Cicero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, and Bing Xiang. 2021. Improving Factual Consistency of Abstractive Summarization via Question Answering. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 6881–6894, Online. Association for Computational Linguistics."
mix_and_match_learningfree_controllable_text_generationusing_energy_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_negative_case_analysis_of_visual_grounding_methods_for_vqa,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.727,shrestha-etal-2020-negative,"Robik Shrestha, Kushal Kafle, and Christopher Kanan. 2020. A negative case analysis of visual grounding methods for VQA. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8172–8181, Online. Association for Computational Linguistics."
how_about_kind_of_generating_hedges_using_endtoend_neural_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
separating_disambiguation_from_composition_in_distributional_semantics,August,2013.0,CoNLL,https://aclanthology.org/W13-3513,kartsaklis-etal-2013-separating,"Dimitri Kartsaklis, Mehrnoosh Sadrzadeh, and Stephen Pulman. 2013. Separating Disambiguation from Composition in Distributional Semantics. In Proceedings of the Seventeenth Conference on Computational Natural Language Learning, pages 114–123, Sofia, Bulgaria. Association for Computational Linguistics."
memeingful_analysis_enhanced_understanding_of_cyberbullying_in_memes_through_multimodal_explanations,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.56,jha-etal-2024-meme,"Prince Jha, Krishanu Maity, Raghav Jain, Apoorv Verma, Sriparna Saha, and Pushpak Bhattacharyya. 2024. Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 930–943, St. Julian’s, Malta. Association for Computational Linguistics."
getting_serious_about_humor_crafting_humor_datasets_with_unfunny_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hedge_detection_and_scope_finding_by_sequence_labeling_with_procedural_feature_selection,July,2010.0,CoNLL,https://aclanthology.org/W10-3013,zhang-etal-2010-hedge,"Shaodian Zhang, Hai Zhao, Guodong Zhou, and Bao-Liang Lu. 2010. Hedge Detection and Scope Finding by Sequence Labeling with Procedural Feature Selection. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task, pages 92–99, Uppsala, Sweden. Association for Computational Linguistics."
mirgan_refining_framelevel_modalityinvariant_representations_with_adversarial_network_for_audiovisual_speech_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
identification_of_tasks_datasets_evaluation_metrics_and_numeric_scores_for_scientific_leaderboards_construction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
grounding_visual_illusions_in_language_do_visionlanguage_models_perceive_illusions_like_humans,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
who_said_it_and_why_provenance_for_natural_language_claims,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
kcts_knowledgeconstrained_tree_search_decoding_with_tokenlevel_hallucination_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
twoheaded_monster_and_crossed_coattention_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
can_lms_store_and_retrieve_1ton_relational_knowledge,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
describe_me_an_auklet_generating_grounded_perceptual_category_descriptions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
correcting_diverse_factual_errors_in_abstractive_summarization_via_postediting_and_language_model_infilling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modelling_polysemy_in_adjective_classes_by_multilabel_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
identifying_named_entities_as_they_are_typed,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.84,arora-etal-2021-identifying,"Ravneet Arora, Chen-Tse Tsai, and Daniel Preotiuc-Pietro. 2021. Identifying Named Entities as they are Typed. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 976–988, Online. Association for Computational Linguistics."
mapping_dialectal_variation_by_querying_social_media,April,2014.0,EACL,https://aclanthology.org/E14-1011,doyle-2014-mapping,"Gabriel Doyle. 2014. Mapping Dialectal Variation by Querying Social Media. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 98–106, Gothenburg, Sweden. Association for Computational Linguistics."
xlptamr_crosslingual_pretraining_via_multitask_learning_for_zeroshot_amr_parsing_and_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
may_i_take_your_order_a_neural_model_for_extracting_structured_information_from_conversations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
leveraging_distributed_representations_and_lexicosyntactic_fixedness_for_tokenlevel_prediction_of_the_idiomaticity_of_english_verbnoun_combinations,July,2018.0,ACL,https://aclanthology.org/P18-2055,king-cook-2018-leveraging,"Milton King and Paul Cook. 2018. Leveraging distributed representations and lexico-syntactic fixedness for token-level prediction of the idiomaticity of English verb-noun combinations. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 345–350, Melbourne, Australia. Association for Computational Linguistics."
learning_domainsensitive_and_sentimentaware_word_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
topic_tensor_network_for_implicit_discourse_relation_recognition_in_chinese,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
large_scale_multiactor_generative_dialog_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_allinone_knowledge_distillation_framework_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
can_large_language_models_capture_dissenting_human_voices,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pyfoma_a_python_finitestate_compiler_module,August,2024.0,ACL,https://aclanthology.org/2024.acl-demos.24,hulden-etal-2024-pyfoma,"Mans Hulden, Michael Ginn, Miikka Silfverberg, and Michael Hammond. 2024. PyFoma: a Python finite-state compiler module. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 258–265, Bangkok, Thailand. Association for Computational Linguistics."
a_normalizedcut_alignment_model_for_mapping_hierarchical_semantic_structures_onto_spoken_documents,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
scemqa_a_scientific_college_entrance_level_multimodal_question_answering_benchmark,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
efficient_classification_of_long_documents_using_transformers,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.79,park-etal-2022-efficient,"Hyunji Park, Yogarshi Vyas, and Kashif Shah. 2022. Efficient Classification of Long Documents Using Transformers. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 702–709, Dublin, Ireland. Association for Computational Linguistics."
semanticaware_contrastive_learning_for_more_accurate_semantic_parsing,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.269,wu-etal-2022-semantic,"Shan Wu, Chunlei Xin, Bo Chen, Xianpei Han, and Le Sun. 2022. Semantic-aware Contrastive Learning for More Accurate Semantic Parsing. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4040–4052, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
petra_a_sparsely_supervised_memory_model_for_people_tracking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
targetside_augmentation_for_documentlevel_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
entityduet_neural_ranking_understanding_the_role_of_knowledge_graph_semantics_in_neural_information_retrieval,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dynamic_routing_transformer_network_for_multimodal_sarcasm_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_empirical_study_on_explanations_in_outofdomain_settings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
finitestate_script_normalization_and_processing_utilities_the_nisaba_brahmic_library,April,2021.0,EACL,https://aclanthology.org/2021.eacl-demos.3,johny-etal-2021-finite,"Cibu Johny, Lawrence Wolf-Sonkin, Alexander Gutkin, and Brian Roark. 2021. Finite-state script normalization and processing utilities: The Nisaba Brahmic library. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 14–23, Online. Association for Computational Linguistics."
a_prioritization_model_for_suicidality_risk_assessment,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.723,shing-etal-2020-prioritization,"Han-Chin Shing, Philip Resnik, and Douglas Oard. 2020. A Prioritization Model for Suicidality Risk Assessment. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8124–8137, Online. Association for Computational Linguistics."
searchbased_structured_prediction_applied_to_biomedical_event_extraction,June,2011.0,CoNLL,https://aclanthology.org/W11-0307,vlachos-craven-2011-search,"Andreas Vlachos and Mark Craven. 2011. Search-based Structured Prediction applied to Biomedical Event Extraction. In Proceedings of the Fifteenth Conference on Computational Natural Language Learning, pages 49–57, Portland, Oregon, USA. Association for Computational Linguistics."
fewshot_slot_tagging_with_collapsed_dependency_transfer_and_labelenhanced_taskadaptive_projection_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
event_ontology_completion_with_hierarchical_structure_evolution_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
disentangled_representation_learning_for_nonparallel_text_style_transfer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lexical_normalization_of_usergenerated_medical_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hybrid_semantics_for_goaldirected_natural_language_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
aggregating_crowdsourced_and_automatic_judgments_to_scale_up_a_corpus_of_anaphoric_reference_for_fiction_and_wikipedia_texts,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.54,yu-etal-2023-aggregating,"Juntao Yu, Silviu Paun, Maris Camilleri, Paloma Garcia, Jon Chamberlain, Udo Kruschwitz, and Massimo Poesio. 2023. Aggregating Crowdsourced and Automatic Judgments to Scale Up a Corpus of Anaphoric Reference for Fiction and Wikipedia Texts. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 767–781, Dubrovnik, Croatia. Association for Computational Linguistics."
tailor_a_softpromptbased_approach_to_attributebased_controlled_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
program_transfer_for_answering_complex_questions_over_knowledge_bases,May,2022.0,ACL,https://aclanthology.org/2022.acl-long.559,cao-etal-2022-program,"Shulin Cao, Jiaxin Shi, Zijun Yao, Xin Lv, Jifan Yu, Lei Hou, Juanzi Li, Zhiyuan Liu, and Jinghui Xiao. 2022. Program Transfer for Answering Complex Questions over Knowledge Bases. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 8128–8140, Dublin, Ireland. Association for Computational Linguistics."
can_we_edit_multimodal_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
guiding_the_growth_difficultycontrollable_question_generation_through_stepbystep_rewriting,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
constrained_tuple_extraction_with_interactionaware_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
manner_a_variational_memoryaugmented_model_for_cross_domain_fewshot_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
simcse_improving_contrastive_learning_for_sentence_embeddings_from_two_perspectives,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.737,xu-etal-2023-simcse,"Jiahao Xu, Wei Shao, Lihui Chen, and Lemao Liu. 2023. SimCSE++: Improving Contrastive Learning for Sentence Embeddings from Two Perspectives. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12028–12040, Singapore. Association for Computational Linguistics."
bolt_fast_energybased_controlled_text_generation_with_tunable_biases,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tabcqa_a_tabular_conversational_question_answering_dataset_on_financial_reports,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
regiondependent_temperature_scaling_for_certainty_calibration_and_application_to_classimbalanced_token_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cognet_a_largescale_cognate_database,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
parsing_coordinations,March,2009.0,EACL,https://aclanthology.org/E09-1047,kubler-etal-2009-parsing,"Sandra Kübler, Erhard Hinrichs, Wolfgang Maier, and Eva Klett. 2009. Parsing Coordinations. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 406–414, Athens, Greece. Association for Computational Linguistics."
model_cascading_towards_jointly_improving_efficiency_and_accuracy_of_nlp_systems,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.756,varshney-baral-2022-model,"Neeraj Varshney and Chitta Baral. 2022. Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11007–11021, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
fast_and_robust_earlyexiting_framework_for_autoregressive_language_models_with_synchronized_parallel_decoding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
creating_pos_tagging_and_dependency_parsing_experts_via_topic_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bridging_subword_gaps_in_pretrainfinetune_paradigm_for_natural_language_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
empowering_language_models_with_knowledge_graph_reasoning_for_opendomain_question_answering,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.650,hu-etal-2022-empowering,"Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, and Yizhou Sun. 2022. Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9562–9581, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
context_compression_for_autoregressive_transformers_with_sentinel_tokens,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
matching_pairs_attributing_finetuned_models_to_their_pretrained_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_tabletotext_generation_with_numerical_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_metaframework_for_spatiotemporal_quantity_extraction_from_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
wictsv_an_evaluation_benchmark_for_target_sense_verification_of_words_in_context,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.140,breit-etal-2021-wic,"Anna Breit, Artem Revenko, Kiamehr Rezaee, Mohammad Taher Pilehvar, and Jose Camacho-Collados. 2021. WiC-TSV: An Evaluation Benchmark for Target Sense Verification of Words in Context. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1635–1645, Online. Association for Computational Linguistics."
biomedical_named_entity_recognition_via_dictionarybased_synonym_generalization,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.903,fu-etal-2023-biomedical,"Zihao Fu, Yixuan Su, Zaiqiao Meng, and Nigel Collier. 2023. Biomedical Named Entity Recognition via Dictionary-based Synonym Generalization. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 14621–14635, Singapore. Association for Computational Linguistics."
representation_biases_in_sentence_transformers,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.268,nikolaev-pado-2023-representation,"Dmitry Nikolaev and Sebastian Padó. 2023. Representation biases in sentence transformers. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3701–3716, Dubrovnik, Croatia. Association for Computational Linguistics."
bigpatent_a_largescale_dataset_for_abstractive_and_coherent_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
my_turn_to_read_an_interleaved_ebook_reading_tool_for_developing_and_struggling_readers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_the_impact_of_pragmatic_phenomena_on_irony_detection_in_tweets_a_multilingual_corpus_study,April,2017.0,EACL,https://aclanthology.org/E17-1025,karoui-etal-2017-exploring,"Jihen Karoui, Farah Benamara, Véronique Moriceau, Viviana Patti, Cristina Bosco, and Nathalie Aussenac-Gilles. 2017. Exploring the Impact of Pragmatic Phenomena on Irony Detection in Tweets: A Multilingual Corpus Study. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 262–272, Valencia, Spain. Association for Computational Linguistics."
translation_memory_retrieval_methods,April,2014.0,EACL,https://aclanthology.org/E14-1022,bloodgood-strauss-2014-translation,"Michael Bloodgood and Benjamin Strauss. 2014. Translation memory retrieval methods. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 202–210, Gothenburg, Sweden. Association for Computational Linguistics."
modeling_taskaware_mimo_cardinality_for_efficient_multilingual_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
i_cast_detect_thoughts_learning_to_converse_and_guide_with_intents_and_theoryofmind_in_dungeons_and_dragons,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
clinical_note_owns_its_hierarchy_multilevel_hypergraph_neural_networks_for_patientlevel_representation_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
promptmix_a_class_boundary_augmentation_method_for_large_language_model_distillation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
conditional_bilingual_mutual_information_based_adaptive_training_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pkicr_personaknowledge_interactive_multicontext_retrieval_for_grounded_dialogue,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.1020,oh-etal-2023-pk,"Minsik Oh, Joosung Lee, Jiwei Li, and Guoyin Wang. 2023. PK-ICR: Persona-Knowledge Interactive Multi-Context Retrieval for Grounded Dialogue. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16383–16395, Singapore. Association for Computational Linguistics."
analyzing_and_evaluating_faithfulness_in_dialogue_summarization,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.325,wang-etal-2022-analyzing,"Bin Wang, Chen Zhang, Yan Zhang, Yiming Chen, and Haizhou Li. 2022. Analyzing and Evaluating Faithfulness in Dialogue Summarization. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4897–4908, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
visuallyaugmented_pretrained_language_models_for_nlp_tasks_without_images,July,2023.0,ACL,https://aclanthology.org/2023.acl-long.833,guo-etal-2023-visually,"Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Qinyu Zhang, and Ji-Rong Wen. 2023. Visually-augmented pretrained language models for NLP tasks without images. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 14912–14929, Toronto, Canada. Association for Computational Linguistics."
contrastive_error_attribution_for_finetuned_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rdrec_rationale_distillation_for_llmbased_recommendation,August,2024.0,ACL,https://aclanthology.org/2024.acl-short.6,wang-etal-2024-rdrec,"Xinfeng Wang, Jin Cui, Yoshimi Suzuki, and Fumiyo Fukumoto. 2024. RDRec: Rationale Distillation for LLM-based Recommendation. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 65–74, Bangkok, Thailand. Association for Computational Linguistics."
categorial_fluidity_in_chinese_and_its_implications_for_partofspeech_tagging,April,2003.0,EACL,https://aclanthology.org/E03-1081,kwong-tsou-2003-categorial,"Oi Yee Kwong and Benjamin K. Tsou. 2003. Categorial Fluidity in Chinese and its Implications for Part-of-speech Tagging. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
neural_crosslingual_coreference_resolution_and_its_application_to_entity_linking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
context_matters_for_image_descriptions_for_accessibility_challenges_for_referenceless_evaluation_metrics,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.309,kreiss-etal-2022-context,"Elisa Kreiss, Cynthia Bennett, Shayan Hooshmand, Eric Zelikman, Meredith Ringel Morris, and Christopher Potts. 2022. Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4685–4697, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
bridging_the_domain_gaps_in_context_representations_for_knearest_neighbor_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
polar_embedding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reaction_miner_an_integrated_system_for_chemical_reaction_extraction_from_textual_data,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-demo.36,zhong-etal-2023-reaction,"Ming Zhong, Siru Ouyang, Yizhu Jiao, Priyanka Kargupta, Leo Luo, Yanzhen Shen, Bobby Zhou, Xianrui Zhong, Xuan Liu, Hongxiang Li, Jinfeng Xiao, Minhao Jiang, Vivian Hu, Xuan Wang, Heng Ji, Martin Burke, Huimin Zhao, and Jiawei Han. 2023. Reaction Miner: An Integrated System for Chemical Reaction Extraction from Textual Data. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 389–402, Singapore. Association for Computational Linguistics."
a_question_answering_framework_for_decontextualizing_userfacing_snippets_from_scientific_documents,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
word_sense_disambiguation_incorporating_lexical_and_structural_semantic_information,June,2007.0,,https://aclanthology.org/D07-1050,tanaka-etal-2007-word,"Takaaki Tanaka, Francis Bond, Timothy Baldwin, Sanae Fujita, and Chikara Hashimoto. 2007. Word Sense Disambiguation Incorporating Lexical and Structural Semantic Information. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 477–485, Prague, Czech Republic. Association for Computational Linguistics."
benchmarking_the_covariate_shift_robustness_of_openworld_intent_classification_approaches,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
biomedcurator_data_curation_for_biomedical_literature,November,2022.0,,https://aclanthology.org/2022.aacl-demo.8,sohrab-etal-2022-biomedcurator,"Mohammad Golam Sohrab, Khoa N.A. Duong, Ikeda Masami, Goran Topić, Yayoi Natsume-Kitatani, Masakata Kuroda, Mari Nogami Itoh, and Hiroya Takamura. 2022. BiomedCurator: Data Curation for Biomedical Literature. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: System Demonstrations, pages 63–71, Taipei, Taiwan. Association for Computational Linguistics."
clusterguided_label_generation_in_extreme_multilabel_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_a_neural_semantic_parser_by_counterfactual_learning_from_human_bandit_feedback,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_empirical_study_on_topic_preservation_in_multidocument_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_domain_generalization_for_promptaware_essay_scoring_via_disentangled_representation_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_pretrained_crosslingual_language_models_via_selflabeled_word_alignment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
grammatical_error_detection_and_correction_using_a_single_maximum_entropy_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
thesis_proposal_detecting_empathy_using_multimodal_language_model,March,2024.0,EACL,https://aclanthology.org/2024.eacl-srw.27,hasan-etal-2024-thesis,"Md Rakibul Hasan, Md Zakir Hossain, Aneesh Krishna, Shafin Rahman, and Tom Gedeon. 2024. Thesis Proposal: Detecting Empathy Using Multimodal Language Model. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 338–349, St. Julian’s, Malta. Association for Computational Linguistics."
zipfs_and_benfords_laws_in_twitter_hashtags,April,2017.0,EACL,https://aclanthology.org/E17-4009,perez-melian-etal-2017-zipfs,"José Alberto Pérez Melián, J. Alberto Conejero, and Cèsar Ferri Ramírez. 2017. Zipf’s and Benford’s laws in Twitter hashtags. In Proceedings of the Student Research Workshop at the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 84–93, Valencia, Spain. Association for Computational Linguistics."
theory_of_mind_in_large_language_models_examining_performance_of_11_stateoftheart_models_vs_children_aged_710_on_advanced_tests,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pretrained_knowledge_base_embeddings_for_improved_sentential_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
poor_mans_quality_estimation_predicting_referencebased_mt_metrics_without_the_reference,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.95,zouhar-etal-2023-poor,"Vilém Zouhar, Shehzaad Dhuliawala, Wangchunshu Zhou, Nico Daheim, Tom Kocmi, Yuchen Eleanor Jiang, and Mrinmaya Sachan. 2023. Poor Man’s Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1311–1325, Dubrovnik, Croatia. Association for Computational Linguistics."
raddle_an_evaluation_benchmark_and_analysis_platform_for_robust_taskoriented_dialog_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
predicting_romanian_stress_assignment,April,2014.0,EACL,https://aclanthology.org/E14-4013,ciobanu-etal-2014-predicting,"Alina Maria Ciobanu, Anca Dinu, and Liviu Dinu. 2014. Predicting Romanian Stress Assignment. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 64–68, Gothenburg, Sweden. Association for Computational Linguistics."
milie_modular__iterative_multilingual_open_information_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
morphological_disambiguation_of_hebrew_a_case_study_in_classifier_combination,June,2007.0,,https://aclanthology.org/D07-1046,shacham-wintner-2007-morphological,"Danny Shacham and Shuly Wintner. 2007. Morphological Disambiguation of Hebrew: A Case Study in Classifier Combination. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 439–447, Prague, Czech Republic. Association for Computational Linguistics."
contentbased_models_of_quotation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.195,maclaughlin-smith-2021-content,"Ansel MacLaughlin and David Smith. 2021. Content-based Models of Quotation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2296–2314, Online. Association for Computational Linguistics."
exploiting_the_syntaxmodel_consistency_for_neural_relation_extraction,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.715,pouran-ben-veyseh-etal-2020-exploiting,"Amir Pouran Ben Veyseh, Franck Dernoncourt, Dejing Dou, and Thien Huu Nguyen. 2020. Exploiting the Syntax-Model Consistency for Neural Relation Extraction. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8021–8032, Online. Association for Computational Linguistics."
cosqa_20000_web_queries_for_code_search_and_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
alignment_rationale_for_natural_language_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dwell_in_the_beginning_how_language_models_embed_long_documents_for_dense_retrieval,August,2024.0,ACL,https://aclanthology.org/2024.acl-short.35,coelho-etal-2024-dwell,"João Coelho, Bruno Martins, Joao Magalhaes, Jamie Callan, and Chenyan Xiong. 2024. Dwell in the Beginning: How Language Models Embed Long Documents for Dense Retrieval. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 370–377, Bangkok, Thailand. Association for Computational Linguistics."
continuous_ngram_representations_for_authorship_attribution,April,2017.0,EACL,https://aclanthology.org/E17-2043,sari-etal-2017-continuous,"Yunita Sari, Andreas Vlachos, and Mark Stevenson. 2017. Continuous N-gram Representations for Authorship Attribution. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 267–273, Valencia, Spain. Association for Computational Linguistics."
towards_fewer_hallucinations_in_knowledgegrounded_dialogue_generation_via_augmentative_and_contrastive_knowledgedialogue,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.148,sun-etal-2023-towards,"Bin Sun, Yitong Li, Fei Mi, Fanhu Bie, Yiwei Li, and Kan Li. 2023. Towards Fewer Hallucinations in Knowledge-Grounded Dialogue Generation via Augmentative and Contrastive Knowledge-Dialogue. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1741–1750, Toronto, Canada. Association for Computational Linguistics."
a_largescale_multidocument_summarization_dataset_from_the_wikipedia_current_events_portal,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crawling_and_preprocessing_mailing_lists_at_scale_for_dialog_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
discrete_opinion_tree_induction_for_aspectbased_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
simlm_pretraining_with_representation_bottleneck_for_dense_passage_retrieval,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_impact_of_debiasing_on_the_performance_of_language_models_in_downstream_tasks_is_underestimated,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
challenges_in_contextaware_neural_machine_translation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.943,jin-etal-2023-challenges,"Linghao Jin, Jacqueline He, Jonathan May, and Xuezhe Ma. 2023. Challenges in Context-Aware Neural Machine Translation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15246–15263, Singapore. Association for Computational Linguistics."
gesnavi_gestureguided_outdoor_visionandlanguage_navigation,March,2024.0,EACL,https://aclanthology.org/2024.eacl-srw.23,jain-etal-2024-gesnavi,"Aman Jain, Teruhisa Misu, Kentaro Yamada, and Hitomi Yanaka. 2024. GesNavi: Gesture-guided Outdoor Vision-and-Language Navigation. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 290–295, St. Julian’s, Malta. Association for Computational Linguistics."
sbert_studies_meaning_representations_decomposing_sentence_embeddings_into_explainable_semantic_features,November,2022.0,,https://aclanthology.org/2022.aacl-main.48,opitz-frank-2022-sbert,"Juri Opitz and Anette Frank. 2022. SBERT studies Meaning Representations: Decomposing Sentence Embeddings into Explainable Semantic Features. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 625–638, Online only. Association for Computational Linguistics."
open_latest_revision_pdf_of_coca_fusing_position_embedding_with_collinear_constrained_attention_in_transformers_for_long_context_window_extending,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reconstruct_before_summarize_an_efficient_twostep_framework_for_condensing_and_summarizing_meeting_transcripts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
statistical_depth_for_ranking_and_characterizing_transformerbased_text_embeddings,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.596,seegmiller-preum-2023-statistical,"Parker Seegmiller and Sarah Preum. 2023. Statistical Depth for Ranking and Characterizing Transformer-Based Text Embeddings. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 9600–9611, Singapore. Association for Computational Linguistics."
yes_we_can_mining_arguments_in_50_years_of_us_presidential_campaign_debates,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
query_refinement_prompts_for_closedbook_longform_qa,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
optimal_summaries_for_enabling_a_smooth_handover_in_chatoriented_dialogue,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_study_on_accessing_linguistic_information_in_pretrained_language_models_by_using_prompts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
prta_a_system_to_support_the_analysis_of_propaganda_techniques_in_the_news,July,2020.0,ACL,https://aclanthology.org/2020.acl-demos.32,da-san-martino-etal-2020-prta,"Giovanni Da San Martino, Shaden Shaar, Yifan Zhang, Seunghak Yu, Alberto Barrón-Cedeño, and Preslav Nakov. 2020. Prta: A System to Support the Analysis of Propaganda Techniques in the News. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 287–293, Online. Association for Computational Linguistics."
semantic_expressive_capacity_with_bounded_memory,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rmlm_a_flexible_defense_framework_for_proactively_mitigating_wordlevel_adversarial_attacks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dip_dead_code_insertion_based_blackbox_attack_for_programming_language_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
director_generatorclassifiers_for_supervised_language_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gtransformer_for_documentlevel_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
merge_and_label_a_novel_neural_network_architecture_for_nested_ner,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
large_language_models_are_temporal_and_causal_reasoners_for_video_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
flats_principled_outofdistribution_detection_with_featurebased_likelihood_ratio_score,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
coannotating_uncertaintyguided_work_allocation_between_human_and_large_language_models_for_data_annotation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
step_by_step_loss_goes_very_far_multistep_quantization_for_adversarial_text_attacks,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.149,gainski-balazy-2023-step,"Piotr Gaiński and Klaudia Bałazy. 2023. Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2038–2048, Dubrovnik, Croatia. Association for Computational Linguistics."
graphbased_posterior_regularization_for_semisupervised_structured_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
attentive_pooling_with_learnable_norms_for_text_representation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_texttosql_evaluation_methodology,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
guiding_computational_stance_detection_with_expanded_stance_triangle_framework,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_role_of_global_and_local_context_in_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_syntactic_probing_correctness_and_robustness_with_control_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
coherence_modeling_of_asynchronous_conversations_a_neural_entity_grid_approach,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
probabilistic_assumptions_matter_improved_models_for_distantlysupervised_documentlevel_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
large_language_models_the_need_for_nuance_in_current_debates_and_a_pragmatic_perspective_on_understanding,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.779,van-dijk-etal-2023-large,"Bram van Dijk, Tom Kouwenhoven, Marco Spruit, and Max Johannes van Duijn. 2023. Large Language Models: The Need for Nuance in Current Debates and a Pragmatic Perspective on Understanding. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12641–12654, Singapore. Association for Computational Linguistics."
dublin_visual_document_understanding_by_languageimage_network,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.65,aggarwal-etal-2023-dublin,"Kriti Aggarwal, Aditi Khandelwal, Kumar Tanmay, Owais Khan Mohammed, Qiang Liu, Monojit Choudhury, Hardik Chauhan, Subhojit Som, Vishrav Chaudhary, and Saurabh Tiwary. 2023. DUBLIN: Visual Document Understanding By Language-Image Network. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 693–706, Singapore. Association for Computational Linguistics."
multimodal_action_chain_abductive_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
socialgroupagnostic_bias_mitigation_via_the_stereotype_content_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reacc_a_retrievalaugmented_code_completion_framework,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
apibank_a_comprehensive_benchmark_for_toolaugmented_llms,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
promptst_abstract_prompt_learning_for_endtoend_speech_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilabel_intent_detection_via_contrastive_task_specialization_of_sentence_encoders,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.512,vulic-etal-2022-multi,"Ivan Vulić, Iñigo Casanueva, Georgios Spithourakis, Avishek Mondal, Tsung-Hsien Wen, and Paweł Budzianowski. 2022. Multi-Label Intent Detection via Contrastive Task Specialization of Sentence Encoders. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7544–7559, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
multimodal_fusion_via_cortical_network_inspired_losses,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
e2evlp_endtoend_visionlanguage_pretraining_enhanced_by_visual_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_effectiveness_of_simple_hybrid_systems_for_hypernym_discovery,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
prixlm_pretraining_for_multilingual_knowledge_base_construction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sas_dialogue_state_tracking_via_slot_attention_and_slot_information_sharing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
kqa_pro_a_dataset_with_explicit_compositional_programs_for_complex_question_answering_over_knowledge_base,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
veil_vetting_extracted_image_labels_from_inthewild_captions_for_weaklysupervised_object_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_simple_threestep_approach_for_the_automatic_detection_of_exaggerated_statements_in_health_science_news,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.289,patro-baruah-2021-simple,"Jasabanta Patro and Sabyasachee Baruah. 2021. A Simple Three-Step Approach for the Automatic Detection of Exaggerated Statements in Health Science News. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3293–3305, Online. Association for Computational Linguistics."
classifying_syntactic_errors_in_learner_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
can_you_tell_me_how_to_get_past_sesame_street_sentencelevel_pretraining_beyond_language_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bic_twitter_bot_detection_with_textgraph_interaction_and_semantic_consistency,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
quirk_or_palmer_a_comparative_study_of_modal_verb_frameworks_with_annotated_datasets,December,2023.0,CoNLL,https://aclanthology.org/2023.conll-1.13,owan-etal-2023-quirk,"Risako Owan, Maria Gini, and Dongyeop Kang. 2023. Quirk or Palmer: A Comparative Study of Modal Verb Frameworks with Annotated Datasets. In Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL), pages 183–199, Singapore. Association for Computational Linguistics."
criticdriven_decoding_for_mitigating_hallucinations_in_datatotext_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mimic_and_rephrase_reflective_listening_in_openended_dialogue,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reinforced_dynamic_reasoning_for_conversational_question_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_codemixed_text_generation_using_synthetic_data_filtering_in_neural_machine_translation,December,2023.0,CoNLL,https://aclanthology.org/2023.conll-1.15,sravani-mamidi-2023-enhancing,"Dama Sravani and Radhika Mamidi. 2023. Enhancing Code-mixed Text Generation Using Synthetic Data Filtering in Neural Machine Translation. In Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL), pages 211–220, Singapore. Association for Computational Linguistics."
berttune_finetuning_neural_machine_translation_with_bertscore,August,2021.0,,https://aclanthology.org/2021.acl-short.115,jauregi-unanue-etal-2021-berttune,"Inigo Jauregi Unanue, Jacob Parnell, and Massimo Piccardi. 2021. BERTTune: Fine-Tuning Neural Machine Translation with BERTScore. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 915–924, Online. Association for Computational Linguistics."
do_deep_neural_networks_capture_compositionality_in_arithmetic_reasoning,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.98,kudo-etal-2023-deep,"Keito Kudo, Yoichi Aoki, Tatsuki Kuribayashi, Ana Brassard, Masashi Yoshikawa, Keisuke Sakaguchi, and Kentaro Inui. 2023. Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning?. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1351–1362, Dubrovnik, Croatia. Association for Computational Linguistics."
neighborhood_contrastive_learning_for_scientific_document_representations_with_citation_embeddings,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.802,ostendorff-etal-2022-neighborhood,"Malte Ostendorff, Nils Rethmeier, Isabelle Augenstein, Bela Gipp, and Georg Rehm. 2022. Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11670–11688, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
hitin_hierarchyaware_tree_isomorphism_network_for_hierarchical_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
policy_preference_detection_in_parliamentary_debate_motions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_logic_of_semantic_representations_for_shallow_parsing,March,2009.0,EACL,https://aclanthology.org/E09-1052,koller-lascarides-2009-logic,"Alexander Koller and Alex Lascarides. 2009. A Logic of Semantic Representations for Shallow Parsing. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 451–459, Athens, Greece. Association for Computational Linguistics."
a_unified_neural_network_model_for_geolocating_twitter_users,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
its_not_just_hate_a_multidimensional_perspective_on_detecting_harmful_speech_online,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
berm_training_the_balanced_and_extractable_representation_for_matching_to_improve_generalization_ability_of_dense_retrieval,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semantic_role_labeling_using_lexical_statistical_information,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lexical_patterns_or_dependency_patterns_which_is_better_for_hypernym_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
humbel_a_humanintheloop_approach_for_evaluating_demographic_factors_of_language_models_in_humanmachine_conversations,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.68,sicilia-etal-2024-humbel,"Anthony Sicilia, Jennifer Gates, and Malihe Alikhani. 2024. HumBEL: A Human-in-the-Loop Approach for Evaluating Demographic Factors of Language Models in Human-Machine Conversations. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1127–1143, St. Julian’s, Malta. Association for Computational Linguistics."
a_graphbased_coarsetofine_method_for_unsupervised_bilingual_lexicon_induction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
turnlevel_active_learning_for_dialogue_state_tracking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
selficl_zeroshot_incontext_learning_with_selfgenerated_demonstrations,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.968,chen-etal-2023-self,"Wei-Lin Chen, Cheng-Kuang Wu, Yun-Nung Chen, and Hsin-Hsi Chen. 2023. Self-ICL: Zero-Shot In-Context Learning with Self-Generated Demonstrations. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15651–15662, Singapore. Association for Computational Linguistics."
followupqg_towards_informationseeking_followup_question_generation,November,2023.0,,https://aclanthology.org/2023.ijcnlp-main.17,meng-etal-2023-followupqg,"Yan Meng, Liangming Pan, Yixin Cao, and Min-Yen Kan. 2023. FollowupQG: Towards information-seeking follow-up question generation. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 252–271, Nusa Dua, Bali. Association for Computational Linguistics."
improving_the_generalizability_of_depression_detection_by_leveraging_clinical_questionnaires,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
jw300_a_widecoverage_parallel_corpus_for_lowresource_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
difficultyaware_machine_translation_evaluation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
peit_bridging_the_modality_gap_with_pretrained_models_for_endtoend_image_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
selfedit_faultaware_code_editor_for_code_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
text2event_controllable_sequencetostructure_generation_for_endtoend_event_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_rulebased_system_for_crosslingual_parsing_of_romance_languages_with_universal_dependencies,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ukpsquare_an_online_platform_for_question_answering_research,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
information_structure_in_topological_dependency_grammar,April,2003.0,EACL,https://aclanthology.org/E03-1054,kruijff-duchier-2003-information,"Geert-Jan M. Kruijff and Denys Duchier. 2003. Information Structure in Topological Dependency Grammar. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
corec_an_easy_approach_for_coordination_recognition,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.934,wang-etal-2023-corec,"Qing Wang, Haojie Jia, Wenfei Song, and Qi Li. 2023. CoRec: An Easy Approach for Coordination Recognition. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15112–15120, Singapore. Association for Computational Linguistics."
scar_sentence_compression_using_autoencoders_for_reconstruction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_comparative_analysis_of_conversational_large_language_models_in_knowledgebased_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
question_and_answer_testtrain_overlap_in_opendomain_question_answering_datasets,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.86,lewis-etal-2021-question,"Patrick Lewis, Pontus Stenetorp, and Sebastian Riedel. 2021. Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1000–1008, Online. Association for Computational Linguistics."
continued_pretraining_for_better_zero_and_fewshot_promptability,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.300,wu-etal-2022-continued,"Zhaofeng Wu, Robert L Logan IV, Pete Walsh, Akshita Bhagia, Dirk Groeneveld, Sameer Singh, and Iz Beltagy. 2022. Continued Pretraining for Better Zero- and Few-Shot Promptability. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4517–4531, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
training_classifiers_with_natural_language_explanations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
attgen_attribute_tree_generation_for_realworld_attribute_joint_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
diffqg_generating_questions_to_summarize_factual_changes,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.225,cole-etal-2023-diffqg,"Jeremy R. Cole, Palak Jain, Julian Martin Eisenschlos, Michael J.Q. Zhang, Eunsol Choi, and Bhuwan Dhingra. 2023. DiffQG: Generating Questions to Summarize Factual Changes. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3088–3101, Dubrovnik, Croatia. Association for Computational Linguistics."
hierarchical_semantic_role_labeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
combination_of_symbolic_and_statistical_approaches_for_grammatical_knowledge_acquisition,October,1994.0,ANLP,https://aclanthology.org/A94-1012,kiyono-tsujii-1994-combination,"Masaki Kiyono and Jun’ichi Tsujii. 1994. Combination of Symbolic and Statistical Approaches for Grammatical Knowledge Acquisition. In Fourth Conference on Applied Natural Language Processing, pages 72–77, Stuttgart, Germany. Association for Computational Linguistics."
rulebased_system_for_automatic_grammar_correction_using_syntactic_ngrams_for_english_language_learning_l2,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
principled_paraphrase_generation_with_parallel_corpora,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
syntactic_nuclei_in_dependency_parsing__a_multilingual_exploration,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.117,basirat-nivre-2021-syntactic,"Ali Basirat and Joakim Nivre. 2021. Syntactic Nuclei in Dependency Parsing – A Multilingual Exploration. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1376–1387, Online. Association for Computational Linguistics."
with_measured_words_simple_sentence_selection_for_blackbox_optimization_of_sentence_compression_algorithms,June,1980.0,ACL,https://aclanthology.org/P80-1038,simmons-1980-word,"Rob’t F. Simmons. 1980. Word, Phrase and Sentence. In 18th Annual Meeting of the Association for Computational Linguistics, pages 145–145, Philadelphia, Pennsylvania, USA. Association for Computational Linguistics."
producing_unseen_morphological_variants_in_statistical_machine_translation,April,2017.0,EACL,https://aclanthology.org/E17-2059,huck-etal-2017-producing,"Matthias Huck, Aleš Tamchyna, Ondřej Bojar, and Alexander Fraser. 2017. Producing Unseen Morphological Variants in Statistical Machine Translation. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 369–375, Valencia, Spain. Association for Computational Linguistics."
interpreting_twitter_user_geolocation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
detecting_frames_in_news_headlines_and_its_application_to_analyzing_news_framing_trends_surrounding_us_gun_violence,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
llmfp4_4bit_floatingpoint_quantized_transformers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
radling_towards_efficient_radiology_report_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
transitionbased_semantic_dependency_parsing_with_pointer_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_pp_attachment_for_filtering_prosodic_phrasing,April,2003.0,EACL,https://aclanthology.org/E03-1051,van-herwijnen-etal-2003-learning,"Olga van Herwijnen, Jacques Terken, Antal van den Bosch, and Erwin Marsi. 2003. Learning PP attachment for filtering prosodic phrasing. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
diagraph_an_opensource_graphic_interface_for_dialog_flow_design,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
did_the_models_understand_documents_benchmarking_models_for_language_understanding_in_documentlevel_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nonsymbolic_text_representation,April,2017.0,EACL,https://aclanthology.org/E17-1074,schutze-2017-nonsymbolic,"Hinrich Schütze. 2017. Nonsymbolic Text Representation. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 785–796, Valencia, Spain. Association for Computational Linguistics."
handling_rare_entities_for_neural_sequence_labeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
race_retrievalaugmented_commit_message_generation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.372,shi-etal-2022-race,"Ensheng Shi, Yanlin Wang, Wei Tao, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, and Hongbin Sun. 2022. RACE: Retrieval-augmented Commit Message Generation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5520–5530, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
semantic_role_labeling_system_using_maximum_entropy_classifier,June,2005.0,CoNLL,https://aclanthology.org/W05-0627,liu-etal-2005-semantic,"Ting Liu, Wanxiang Che, Sheng Li, Yuxuan Hu, and Huaijun Liu. 2005. Semantic Role Labeling System Using Maximum Entropy Classifier. In Proceedings of the Ninth Conference on Computational Natural Language Learning (CoNLL-2005), pages 189–192, Ann Arbor, Michigan. Association for Computational Linguistics."
automatic_dialog_flow_extraction_and_guidance,May,2023.0,EACL,https://aclanthology.org/2023.eacl-srw.12,ferreira-2023-automatic,"Patrícia Ferreira. 2023. Automatic Dialog Flow Extraction and Guidance. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 112–122, Dubrovnik, Croatia. Association for Computational Linguistics."
the_conll2009_shared_task_syntactic_and_semantic_dependencies_in_multiple_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
refining_sample_embeddings_with_relation_prototypes_to_enhance_continual_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
empowering_dualencoder_with_query_generator_for_crosslingual_dense_retrieval,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.203,ren-etal-2022-empowering,"Houxing Ren, Linjun Shou, Ning Wu, Ming Gong, and Daxin Jiang. 2022. Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3107–3121, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
a_usercentered_interactive_humanintheloop_topic_modelling_system,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.37,fang-etal-2023-user,"Zheng Fang, Lama Alqazlan, Du Liu, Yulan He, and Rob Procter. 2023. A User-Centered, Interactive, Human-in-the-Loop Topic Modelling System. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 505–522, Dubrovnik, Croatia. Association for Computational Linguistics."
continuous_learning_in_a_hierarchical_multiscale_neural_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
documentlevel_planning_for_text_simplification,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.70,cripwell-etal-2023-document,"Liam Cripwell, Joël Legrand, and Claire Gardent. 2023. Document-Level Planning for Text Simplification. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 993–1006, Dubrovnik, Croatia. Association for Computational Linguistics."
to_boldly_query_what_no_one_has_annotated_before_the_frontiers_of_corpus_querying,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
stgn_an_implicit_regularization_method_for_learning_with_noisy_labels_in_natural_language_processing,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.515,wu-etal-2022-stgn,"Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, and Ting Liu. 2022. STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7587–7598, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
eventevent_relation_extraction_using_probabilistic_box_embedding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
finegrained_entity_type_classification_by_jointly_learning_representations_and_label_embeddings,April,2017.0,EACL,https://aclanthology.org/E17-1075,abhishek-etal-2017-fine,"Abhishek Abhishek, Ashish Anand, and Amit Awekar. 2017. Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 797–807, Valencia, Spain. Association for Computational Linguistics."
rationaleenhanced_language_models_are_better_continual_relation_learners,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.958,xiong-etal-2023-rationale,"Weimin Xiong, Yifan Song, Peiyi Wang, and Sujian Li. 2023. Rationale-Enhanced Language Models are Better Continual Relation Learners. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15489–15497, Singapore. Association for Computational Linguistics."
breaking_down_the_invisible_wall_of_informal_fallacies_in_online_discussions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
recursive_treestructured_selfattention_for_answer_sentence_selection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
xlme_crosslingual_language_model_pretraining_via_electra,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
personalized_distillation_empowering_opensourced_llms_with_adaptive_learning_for_code_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
allecs_a_lightweight_language_error_correction_system,May,2023.0,EACL,https://aclanthology.org/2023.eacl-demo.32,qorib-etal-2023-allecs,"Muhammad Reza Qorib, Geonsik Moon, and Hwee Tou Ng. 2023. ALLECS: A Lightweight Language Error Correction System. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 298–306, Dubrovnik, Croatia. Association for Computational Linguistics."
obligation_and_prohibition_extraction_using_hierarchical_rnns,July,2018.0,ACL,https://aclanthology.org/P18-2041,chalkidis-etal-2018-obligation,"Ilias Chalkidis, Ion Androutsopoulos, and Achilleas Michos. 2018. Obligation and Prohibition Extraction Using Hierarchical RNNs. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 254–259, Melbourne, Australia. Association for Computational Linguistics."
learningbynarrating_narrative_pretraining_for_zeroshot_dialogue_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
endtoend_sequential_metaphor_identification_inspired_by_linguistic_theories,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploiting_asymmetry_for_synthetic_training_data_generation_synthie_and_the_case_of_information_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pieqg_paraphrased_information_extraction_for_unsupervised_question_generation_from_small_corpora,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
continual_learning_for_multilingual_neural_machine_translation_via_dual_importancebased_model_division,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.736,liu-etal-2023-continual,"Junpeng Liu, Kaiyu Huang, Hao Yu, Jiuyi Li, Jinsong Su, and Degen Huang. 2023. Continual Learning for Multilingual Neural Machine Translation via Dual Importance-based Model Division. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12011–12027, Singapore. Association for Computational Linguistics."
gear_graphbased_evidence_aggregating_and_reasoning_for_fact_verification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
random_entity_quantization_for_parameterefficient_compositional_knowledge_graph_representation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
joint_constrained_learning_with_boundaryadjusting_for_emotioncause_pair_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tlm_tokenlevel_masking_for_transformers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ecore_emotion_correlation_enhanced_empathetic_dialogue_generation,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.653,fu-etal-2023-e,"Fengyi Fu, Lei Zhang, Quan Wang, and Zhendong Mao. 2023. E-CORE: Emotion Correlation Enhanced Empathetic Dialogue Generation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 10568–10586, Singapore. Association for Computational Linguistics."
docchecker_bootstrapping_code_large_language_model_for_detecting_and_resolving_codecomment_inconsistencies,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
beyond_sentencelevel_endtoend_speech_translation_context_helps,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lgesql_line_graph_enhanced_texttosql_model_with_mixed_local_and_nonlocal_relations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
natlogattack_a_framework_for_attacking_natural_language_inference_models_with_natural_logic,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
focus_effective_embedding_initialization_for_monolingual_specialization_of_multilingual_models,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.829,dobler-de-melo-2023-focus,"Konstantin Dobler and Gerard de Melo. 2023. FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13440–13454, Singapore. Association for Computational Linguistics."
reliabilityaware_dynamic_feature_composition_for_name_tagging,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ultrafine_entity_typing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
strategies_for_structuring_story_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsolving_morphological_inflection_lemma_overlap_artificially_inflates_models_performance,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
coreference_resolution_without_span_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
image_retrieval_from_contextual_descriptions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
depn_detecting_and_editing_privacy_neurons_in_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_copyaugmented_sequencetosequence_architecture_gives_good_performance_on_taskoriented_dialogue,April,2017.0,EACL,https://aclanthology.org/E17-2075,eric-manning-2017-copy,"Mihail Eric and Christopher Manning. 2017. A Copy-Augmented Sequence-to-Sequence Architecture Gives Good Performance on Task-Oriented Dialogue. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 468–473, Valencia, Spain. Association for Computational Linguistics."
banglaparaphrase_a_highquality_bangla_paraphrase_dataset,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lanidenn_multilingual_language_identification_on_character_window,April,2017.0,EACL,https://aclanthology.org/E17-1087,kocmi-bojar-2017-lanidenn,"Tom Kocmi and Ondřej Bojar. 2017. LanideNN: Multilingual Language Identification on Character Window. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 927–936, Valencia, Spain. Association for Computational Linguistics."
compiling_frenchjapanese_terminologies_from_the_web,April,2006.0,EACL,https://aclanthology.org/E06-1029,robitaille-etal-2006-compiling,"Xavier Robitaille, Yasuhiro Sasaki, Masatsugu Tonoike, Satoshi Sato, and Takehito Utsuro. 2006. Compiling French-Japanese Terminologies from the Web. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 225–232, Trento, Italy. Association for Computational Linguistics."
logicguided_data_augmentation_and_regularization_for_consistent_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
klej_comprehensive_benchmark_for_polish_language_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
promptbert_improving_bert_sentence_embeddings_with_prompts,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.603,jiang-etal-2022-promptbert,"Ting Jiang, Jian Jiao, Shaohan Huang, Zihan Zhang, Deqing Wang, Fuzhen Zhuang, Furu Wei, Haizhen Huang, Denvy Deng, and Qi Zhang. 2022. PromptBERT: Improving BERT Sentence Embeddings with Prompts. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8826–8837, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
mope_model_perturbation_based_privacy_attacks_on_language_models,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.842,li-etal-2023-mope,"Marvin Li, Jason Wang, Jeffrey Wang, and Seth Neel. 2023. MoPe: Model Perturbation based Privacy Attacks on Language Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13647–13660, Singapore. Association for Computational Linguistics."
resper_computationally_modelling_resisting_strategies_in_persuasive_conversations,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.7,dutt-etal-2021-resper,"Ritam Dutt, Sayan Sinha, Rishabh Joshi, Surya Shekhar Chakraborty, Meredith Riggs, Xinru Yan, Haogang Bao, and Carolyn Rose. 2021. ResPer: Computationally Modelling Resisting Strategies in Persuasive Conversations. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 78–90, Online. Association for Computational Linguistics."
chrentranslate_cherokeeenglish_machine_translation_demo_with_quality_estimation_and_corrective_feedback,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lowresource_neural_machine_translation_with_crossmodal_alignment,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.689,yang-etal-2022-low,"Zhe Yang, Qingkai Fang, and Yang Feng. 2022. Low-resource Neural Machine Translation with Cross-modal Alignment. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10134–10146, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
shortformer_better_language_modeling_using_shorter_inputs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
conversational_question_answering_over_knowledge_graphs_with_transformer_and_graph_attention_networks,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.72,kacupaj-etal-2021-conversational,"Endri Kacupaj, Joan Plepi, Kuldeep Singh, Harsh Thakkar, Jens Lehmann, and Maria Maleshkova. 2021. Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 850–862, Online. Association for Computational Linguistics."
towards_explainable_nlp_a_generative_explanation_framework_for_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adaptive_scaling_for_sparse_detection_in_information_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
curriculum_prompt_learning_with_selftraining_for_abstractive_dialogue_summarization,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.72,li-etal-2022-curriculum,"Changqun Li, Linlin Wang, Xin Lin, Gerard de Melo, and Liang He. 2022. Curriculum Prompt Learning with Self-Training for Abstractive Dialogue Summarization. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1096–1106, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
considerations_for_meaningful_sign_language_machine_translation_based_on_glosses,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mpmr_a_multilingual_pretrained_machine_reader_at_scale,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
responsive_and_selfexpressive_dialogue_generation,August,2019.0,ACL,https://aclanthology.org/W19-4116,chikai-etal-2019-responsive,"Kozo Chikai, Junya Takayama, and Yuki Arase. 2019. Responsive and Self-Expressive Dialogue Generation. In Proceedings of the First Workshop on NLP for Conversational AI, pages 139–149, Florence, Italy. Association for Computational Linguistics."
adaptor_objectivecentric_adaptation_framework_for_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_factor_graph_models_for_crosslingual_morphological_tagging,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
introduction_to_the_conll2005_shared_task_semantic_role_labeling,June,2005.0,CoNLL,https://aclanthology.org/W05-0620,carreras-marquez-2005-introduction,"Xavier Carreras and Lluís Màrquez. 2005. Introduction to the CoNLL-2005 Shared Task: Semantic Role Labeling. In Proceedings of the Ninth Conference on Computational Natural Language Learning (CoNLL-2005), pages 152–164, Ann Arbor, Michigan. Association for Computational Linguistics."
insample_curriculum_learning_by_sequence_completion_for_natural_language_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
disco_a_toolkit_for_distributional_control_of_generative_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
explore_propose_and_assemble_an_interpretable_model_for_multihop_reading_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
highorder_refining_for_endtoend_chinese_semantic_role_labeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modelling_the_lexicon_in_unsupervised_part_of_speech_induction,April,2014.0,EACL,https://aclanthology.org/E14-1013,dubbin-blunsom-2014-modelling,"Gregory Dubbin and Phil Blunsom. 2014. Modelling the Lexicon in Unsupervised Part of Speech Induction. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 116–125, Gothenburg, Sweden. Association for Computational Linguistics."
prototypebased_hyperadapter_for_sampleefficient_multitask_tuning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluating_persuasion_strategies_and_deep_reinforcement_learning_methods_for_negotiation_dialogue_agents,April,2017.0,EACL,https://aclanthology.org/E17-2077,keizer-etal-2017-evaluating,"Simon Keizer, Markus Guhe, Heriberto Cuayáhuitl, Ioannis Efstathiou, Klaus-Peter Engelbrecht, Mihai Dobre, Alex Lascarides, and Oliver Lemon. 2017. Evaluating Persuasion Strategies and Deep Reinforcement Learning methods for Negotiation Dialogue agents. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 480–484, Valencia, Spain. Association for Computational Linguistics."
weighted_contrastive_learning_with_false_negative_control_to_help_longtailed_product_classification,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.55,wang-etal-2023-weighted,"Tianqi Wang, Lei Chen, Xiaodan Zhu, Younghun Lee, and Jing Gao. 2023. Weighted Contrastive Learning With False Negative Control to Help Long-tailed Product Classification. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 574–580, Toronto, Canada. Association for Computational Linguistics."
learning_to_distinguish_pp_arguments_from_adjuncts,,2002.0,CoNLL,https://aclanthology.org/W02-2033,villavicencio-2002-learning,Aline Villavicencio. 2002. Learning to Distinguish PP Arguments from Adjuncts. In COLING-02: The 6th Conference on Natural Language Learning 2002 (CoNLL-2002).
systematic_word_metasense_extension,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.675,yu-2023-systematic,"Lei Yu. 2023. Systematic word meta-sense extension. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 10953–10966, Singapore. Association for Computational Linguistics."
automated_concatenation_of_embeddings_for_structured_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
what_substitutes_tell_us__analysis_of_an_allwords_lexical_substitution_corpus,April,2014.0,EACL,https://aclanthology.org/E14-1057,kremer-etal-2014-substitutes,"Gerhard Kremer, Katrin Erk, Sebastian Padó, and Stefan Thater. 2014. What Substitutes Tell Us - Analysis of an “All-Words” Lexical Substitution Corpus. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 540–549, Gothenburg, Sweden. Association for Computational Linguistics."
where_to_go_for_the_holidays_towards_mixedtype_dialogs_for_clarification_of_user_goals,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
text_categorization_by_learning_predominant_sense_of_words_as_auxiliary_task,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
microsoft_icecaps_an_opensource_toolkit_for_conversation_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
annotating_derivations_a_new_evaluation_strategy_and_dataset_for_algebra_word_problems,April,2017.0,EACL,https://aclanthology.org/E17-1047,upadhyay-chang-2017-annotating,"Shyam Upadhyay and Ming-Wei Chang. 2017. Annotating Derivations: A New Evaluation Strategy and Dataset for Algebra Word Problems. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 494–504, Valencia, Spain. Association for Computational Linguistics."
textworldexpress_simulating_text_games_at_one_million_steps_per_second,May,2023.0,EACL,https://aclanthology.org/2023.eacl-demo.20,jansen-cote-2023-textworldexpress,"Peter Jansen and Marc-alexandre Cote. 2023. TextWorldExpress: Simulating Text Games at One Million Steps Per Second. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 169–177, Dubrovnik, Croatia. Association for Computational Linguistics."
transformerbased_approach_for_predicting_chemical_compound_structures,December,2020.0,AACL,https://aclanthology.org/2020.aacl-main.19,omote-etal-2020-transformer,"Yutaro Omote, Kyoumoto Matsushita, Tomoya Iwakura, Akihiro Tamura, and Takashi Ninomiya. 2020. Transformer-based Approach for Predicting Chemical Compound Structures. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, pages 154–162, Suzhou, China. Association for Computational Linguistics."
multitype_conversational_questionanswer_generation_with_closedended_and_unanswerable_questions,November,2022.0,,https://aclanthology.org/2022.aacl-short.22,hwang-etal-2022-multi,"Seonjeong Hwang, Yunsu Kim, and Gary Geunbae Lee. 2022. Multi-Type Conversational Question-Answer Generation with Closed-ended and Unanswerable Questions. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 169–177, Online only. Association for Computational Linguistics."
knowledgeenhanced_mixedinitiative_dialogue_system_for_emotional_support_conversations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
are_chatgpt_and_gpt4_generalpurpose_solvers_for_financial_text_analytics_a_study_on_several_typical_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crossmodal3600_a_massively_multilingual_multimodal_evaluation_dataset,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tavt_towards_transferable_audiovisual_text_generation,July,2023.0,ACL,https://aclanthology.org/2023.acl-long.836,lin-etal-2023-tavt,"Wang Lin, Tao Jin, Wenwen Pan, Linjun Li, Xize Cheng, Ye Wang, and Zhou Zhao. 2023. TAVT: Towards Transferable Audio-Visual Text Generation. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 14983–14999, Toronto, Canada. Association for Computational Linguistics."
laughing_at_you_or_with_you_the_role_of_sarcasm_in_shaping_the_disagreement_space,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.171,ghosh-etal-2021-laughing,"Debanjan Ghosh, Ritvik Shrivastava, and Smaranda Muresan. 2021. “Laughing at you or with you”: The Role of Sarcasm in Shaping the Disagreement Space. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1998–2010, Online. Association for Computational Linguistics."
incontext_symbolic_regression_leveraging_large_language_models_for_function_discovery,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
interactive_construction_of_usercentric_dictionary_for_text_analytics,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fixing_model_bugs_with_natural_language_patches,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.797,murty-etal-2022-fixing,"Shikhar Murty, Christopher Manning, Scott Lundberg, and Marco Tulio Ribeiro. 2022. Fixing Model Bugs with Natural Language Patches. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11600–11613, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
learning_unsupervised_svm_classifier_for_answer_selection_in_web_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
jora_jax_tensorparallel_lora_library_for_retrieval_augmented_finetuning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
article_reranking_by_memoryenhanced_key_sentence_matching_for_detecting_previously_factchecked_claims,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
validation_of_subsentential_paraphrases_acquired_from_parallel_monolingual_corpora,April,2012.0,EACL,https://aclanthology.org/E12-1073,bouamor-etal-2012-validation,"Houda Bouamor, Aurélien Max, and Anne Vilnat. 2012. Validation of sub-sentential paraphrases acquired from parallel monolingual corpora. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 716–725, Avignon, France. Association for Computational Linguistics."
representational_bias_in_unsupervised_learning_of_syllable_structure,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
revisiting_automated_topic_model_evaluation_with_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_riskaverse_mechanism_for_suicidality_assessment_on_social_media,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_curse_of_dense_lowdimensional_information_retrieval_for_large_index_sizes,August,2021.0,,https://aclanthology.org/2021.acl-short.77,reimers-gurevych-2021-curse,"Nils Reimers and Iryna Gurevych. 2021. The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 605–611, Online. Association for Computational Linguistics."
baco_a_background_knowledge_and_contentbased_framework_for_citing_sentence_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
who_is_you_combining_linguistic_and_gaze_features_to_resolve_secondperson_references_in_dialogue,March,2009.0,EACL,https://aclanthology.org/E09-1032,frampton-etal-2009-combining,"Matthew Frampton, Raquel Fernández, Patrick Ehlen, Mario Christoudias, Trevor Darrell, and Stanley Peters. 2009. Who is “You”? Combining Linguistic and Gaze Features to Resolve Second-Person References in Dialogue. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 273–281, Athens, Greece. Association for Computational Linguistics."
learning_to_mediate_disparities_towards_pragmatic_communication,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
empowering_the_factcheckers_automatic_identification_of_claim_spans_on_twitter,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.525,sundriyal-etal-2022-empowering,"Megha Sundriyal, Atharva Kulkarni, Vaibhav Pulastya, Md. Shad Akhtar, and Tanmoy Chakraborty. 2022. Empowering the Fact-checkers! Automatic Identification of Claim Spans on Twitter. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7701–7715, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
a_semanticbased_method_for_unsupervised_commonsense_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
are_we_estimating_or_guesstimating_translation_quality,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multidomain_named_entity_recognition_with_genreaware_and_agnostic_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
data_augmentation_with_adversarial_training_for_crosslingual_nli,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_machine_translation_with_dependencyaware_selfattention,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
explainable_question_answering_based_on_semantic_graph_by_global_differentiable_learning_and_dynamic_adaptive_reasoning,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.356,mao-etal-2022-explainable,"Jianguo Mao, Wenbin Jiang, Xiangdong Wang, Hong Liu, Yu Xia, Yajuan Lyu, and QiaoQiao She. 2022. Explainable Question Answering based on Semantic Graph by Global Differentiable Learning and Dynamic Adaptive Reasoning. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5318–5325, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
adaptershare_task_correlation_modeling_with_adapter_differentiation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.728,chen-etal-2022-adaptershare,"Zhi Chen, Bei Chen, Lu Chen, Kai Yu, and Jian-Guang Lou. 2022. AdapterShare: Task Correlation Modeling with Adapter Differentiation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10645–10651, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
exploring_the_secrets_behind_the_learning_difficulty_of_meaning_representations_for_semantic_parsing,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.237,li-etal-2022-exploring-secrets,"Zhenwen Li, Jiaqi Guo, Qian Liu, Jian-Guang Lou, and Tao Xie. 2022. Exploring the Secrets Behind the Learning Difficulty of Meaning Representations for Semantic Parsing. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3616–3625, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
incorporating_relevance_feedback_for_informationseeking_retrieval_using_fewshot_document_reranking,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.614,baumgartner-etal-2022-incorporating,"Tim Baumgärtner, Leonardo F. R. Ribeiro, Nils Reimers, and Iryna Gurevych. 2022. Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8988–9005, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
toward_expanding_the_scope_of_radiology_report_summarization_to_multiple_anatomies_and_modalities,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
m3seg_a_maximumminimum_mutual_information_paradigm_for_unsupervised_topic_segmentation_in_asr_transcripts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
predicting_client_emotions_and_therapist_interventions_in_psychotherapy_dialogues,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.88,mayer-etal-2024-predicting,"Tobias Mayer, Neha Warikoo, Amir Eliassaf, Dana Atzil-Slonim, and Iryna Gurevych. 2024. Predicting Client Emotions and Therapist Interventions in Psychotherapy Dialogues. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1463–1477, St. Julian’s, Malta. Association for Computational Linguistics."
adapting_translation_models_to_translationese_improves_smt,April,2012.0,EACL,https://aclanthology.org/E12-1026,lembersky-etal-2012-adapting,"Gennadi Lembersky, Noam Ordan, and Shuly Wintner. 2012. Adapting Translation Models to Translationese Improves SMT. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 255–265, Avignon, France. Association for Computational Linguistics."
pens_a_dataset_and_generic_framework_for_personalized_news_headline_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_language_of_legal_and_illegal_activity_on_the_darknet,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generalization_methods_for_indomain_and_crossdomain_opinion_holder_extraction,April,2012.0,EACL,https://aclanthology.org/E12-1033,wiegand-klakow-2012-generalization,"Michael Wiegand and Dietrich Klakow. 2012. Generalization Methods for In-Domain and Cross-Domain Opinion Holder Extraction. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 325–335, Avignon, France. Association for Computational Linguistics."
tablevlm_multimodal_pretraining_for_table_structure_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
wordorder_biases_in_deepagent_emergent_communication,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
deep_context_and_relationaware_learning_for_aspectbased_sentiment_analysis,August,2021.0,,https://aclanthology.org/2021.acl-short.63,oh-etal-2021-deep,"Shinhyeok Oh, Dongyub Lee, Taesun Whang, IlNam Park, Seo Gaeun, EungGyun Kim, and Harksoo Kim. 2021. Deep Context- and Relation-Aware Learning for Aspect-based Sentiment Analysis. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 495–503, Online. Association for Computational Linguistics."
epic_employing_proverbs_in_context_as_a_benchmark_for_abstract_language_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
grounding_characters_and_places_in_narrative_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mildsum_a_novel_benchmark_dataset_for_multilingual_summarization_of_indian_legal_case_judgments,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
erniedoc_a_retrospective_longdocument_modeling_transformer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
conreader_exploring_implicit_relations_in_contracts_for_contract_clause_extraction,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.166,xu-etal-2022-conreader,"Weiwen Xu, Yang Deng, Wenqiang Lei, Wenlong Zhao, Tat-Seng Chua, and Wai Lam. 2022. ConReader: Exploring Implicit Relations in Contracts for Contract Clause Extraction. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 2581–2594, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
cabbage_sweeter_than_cake_analysing_the_potential_of_large_language_models_for_learning_conceptual_spaces,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
conjunct_resolution_in_the_face_of_verbal_omissions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
using_neural_machine_translation_for_generating_diverse_challenging_exercises_for_language_learner,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
datadriven_dependency_parsing_of_new_languages_using_incomplete_and_noisy_training_data,June,2009.0,CoNLL,https://aclanthology.org/W09-1104,spreyer-kuhn-2009-data,"Kathrin Spreyer and Jonas Kuhn. 2009. Data-Driven Dependency Parsing of New Languages Using Incomplete and Noisy Training Data. In Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL-2009), pages 12–20, Boulder, Colorado. Association for Computational Linguistics."
automatic_fake_news_detection_are_models_learning_to_reason,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
pyramid_a_layered_model_for_nested_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
scaling_neural_itn_for_numbers_and_temporal_expressions_in_tamil_findings_for_an_agglutinative_lowresource_language,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.42,singhal-etal-2023-scaling,"Bhavuk Singhal, Sindhuja Gopalan, Amrith Krishna, and Malolan Chetlur. 2023. Scaling Neural ITN for Numbers and Temporal Expressions in Tamil: Findings for an Agglutinative Low-resource Language. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 440–450, Singapore. Association for Computational Linguistics."
query_generation_for_multimodal_documents,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.54,kim-etal-2021-query,"Kyungho Kim, Kyungjae Lee, Seung-won Hwang, Young-In Song, and Seungwook Lee. 2021. Query Generation for Multimodal Documents. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 659–668, Online. Association for Computational Linguistics."
probing_as_quantifying_inductive_bias,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
deam_dialogue_coherence_evaluation_using_amrbased_semantic_manipulations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_understanding_omission_in_dialogue_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
joint_modelling_of_emotion_and_abusive_language_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exbert_a_visual_analysis_tool_to_explore_learned_representations_in_transformer_models,July,2020.0,ACL,https://aclanthology.org/2020.acl-demos.22,hoover-etal-2020-exbert,"Benjamin Hoover, Hendrik Strobelt, and Sebastian Gehrmann. 2020. exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 187–196, Online. Association for Computational Linguistics."
spying_on_your_neighbors_finegrained_probing_of_contextual_embeddings_for_information_about_surrounding_words,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
kpop_and_fake_facts_from_texts_to_smart_alerting_for_maritime_security,March,2024.0,,https://aclanthology.org/2024.dravidianlangtech-1.31,osama-etal-2024-cuet,"Md Osama, Kawsar Ahmed, Hasan Mesbaul Ali Taher, Jawad Hossain, Shawly Ahsan, and Mohammed Moshiul Hoque. 2024. CUET_NLP_GoodFellows@DravidianLangTech EACL2024: A Transformer-Based Approach for Detecting Fake News in Dravidian Languages. In Proceedings of the Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages, pages 187–192, St. Julian's, Malta. Association for Computational Linguistics."
we_need_to_talk_about_reproducibility_in_nlp_model_comparison,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_boosted_semimarkov_perceptron,August,2013.0,CoNLL,https://aclanthology.org/W13-3506,iwakura-2013-boosted,"Tomoya Iwakura. 2013. A Boosted Semi-Markov Perceptron. In Proceedings of the Seventeenth Conference on Computational Natural Language Learning, pages 47–55, Sofia, Bulgaria. Association for Computational Linguistics."
collaborative_generative_ai_integrating_gptk_for_efficient_editing_in_texttoimage_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
quantifying_privacy_risks_of_masked_language_models_using_membership_inference_attacks,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.570,mireshghallah-etal-2022-quantifying,"Fatemehsadat Mireshghallah, Kartik Goyal, Archit Uniyal, Taylor Berg-Kirkpatrick, and Reza Shokri. 2022. Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8332–8347, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
code_and_named_entity_recognition_in_stackoverflow,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
efficient_online_summarization_of_microblogging_streams,April,2014.0,EACL,https://aclanthology.org/E14-4046,olariu-2014-efficient,"Andrei Olariu. 2014. Efficient Online Summarization of Microblogging Streams. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 236–240, Gothenburg, Sweden. Association for Computational Linguistics."
learning_to_imagine_visuallyaugmented_natural_language_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_joint_multiple_intent_detection_and_slot_filling_with_global_intentslot_cooccurrence,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_event_causality_identification_with_counterfactual_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hermes_interactive_spreadsheet_formula_prediction_via_hierarchical_formulet_expansion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hi_guys_or_hi_folks_benchmarking_genderneutral_machine_translation_with_the_gente_corpus,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
applying_alternating_structure_optimization_to_word_sense_disambiguation,June,2006.0,CoNLL,https://aclanthology.org/W06-2911,ando-2006-applying,"Rie Kubota Ando. 2006. Applying Alternating Structure Optimization to Word Sense Disambiguation. In Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X), pages 77–84, New York City. Association for Computational Linguistics."
improving_knowledge_graph_embedding_using_simple_constraints,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bilingual_lexicon_induction_with_semisupervision_in_nonisometric_embedding_spaces,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
texprax_a_messaging_application_for_ethical_realtime_data_collection_and_annotation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_empirical_comparison_of_unsupervised_constituency_parsing_methods,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
simqa_detecting_simultaneous_mt_errors_through_wordbyword_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_probabilistic_synchronous_cfgs_for_phrasebased_translation,July,2010.0,CoNLL,https://aclanthology.org/W10-2915,mylonakis-simaan-2010-learning,"Markos Mylonakis and Khalil Sima’an. 2010. Learning Probabilistic Synchronous CFGs for Phrase-Based Translation. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning, pages 117–125, Uppsala, Sweden. Association for Computational Linguistics."
a_multigraph_model_for_coreference_resolution,July,2012.0,CoNLL,https://aclanthology.org/W12-4511,martschat-etal-2012-multigraph,"Sebastian Martschat, Jie Cai, Samuel Broscheit, Éva Mújdricza-Maydt, and Michael Strube. 2012. A Multigraph Model for Coreference Resolution. In Joint Conference on EMNLP and CoNLL - Shared Task, pages 100–106, Jeju Island, Korea. Association for Computational Linguistics."
notawhore_a_computational_linguistic_perspective_of_rape_culture_and_victimization_on_social_media,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
disrex_a_multilingual_dataset_for_distantly_supervised_relation_extraction,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.95,bhartiya-etal-2022-dis,"Abhyuday Bhartiya, Kartikeya Badola, and Mausam. 2022. DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 849–863, Dublin, Ireland. Association for Computational Linguistics."
lingmotif_sentiment_analysis_for_the_digital_humanities,April,2017.0,EACL,https://aclanthology.org/E17-3019,moreno-ortiz-2017-lingmotif,"Antonio Moreno-Ortiz. 2017. Lingmotif: Sentiment Analysis for the Digital Humanities. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 73–76, Valencia, Spain. Association for Computational Linguistics."
identifying_broken_plurals_irregular_gender_and_rationality_in_arabic_text,April,2012.0,EACL,https://aclanthology.org/E12-1069,alkuhlani-habash-2012-identifying,"Sarah Alkuhlani and Nizar Habash. 2012. Identifying Broken Plurals, Irregular Gender, and Rationality in Arabic Text. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 675–685, Avignon, France. Association for Computational Linguistics."
molxpt_wrapping_molecules_with_text_for_generative_pretraining,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.138,liu-etal-2023-molxpt,"Zequn Liu, Wei Zhang, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Ming Zhang, and Tie-Yan Liu. 2023. MolXPT: Wrapping Molecules with Text for Generative Pre-training. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1606–1616, Toronto, Canada. Association for Computational Linguistics."
mcgill_babylm_shared_task_submission_the_effects_of_data_formatting_and_structural_biases,December,2023.0,CoNLL,https://aclanthology.org/2023.conll-babylm.18,cheng-etal-2023-mcgill,"Ziling Cheng, Rahul Aralikatte, Ian Porada, Cesare Spinoso-Di Piano, and Jackie CK Cheung. 2023. McGill BabyLM Shared Task Submission: The Effects of Data Formatting and Structural Biases. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 207–220, Singapore. Association for Computational Linguistics."
how_do_we_get_there_evaluating_transformer_neural_networks_as_cognitive_models_for_english_past_tense_inflection,November,2022.0,,https://aclanthology.org/2022.aacl-main.81,ma-gao-2022-get,"Xiaomeng Ma and Lingyu Gao. 2022. How do we get there? Evaluating transformer neural networks as cognitive models for English past tense inflection. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 1101–1114, Online only. Association for Computational Linguistics."
eyes_are_the_windows_to_the_soul_predicting_the_rating_of_text_quality_using_gaze_behaviour,July,2018.0,ACL,https://aclanthology.org/P18-1219,mathias-etal-2018-eyes,"Sandeep Mathias, Diptesh Kanojia, Kevin Patel, Samarth Agrawal, Abhijit Mishra, and Pushpak Bhattacharyya. 2018. Eyes are the Windows to the Soul: Predicting the Rating of Text Quality Using Gaze Behaviour. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2352–2362, Melbourne, Australia. Association for Computational Linguistics."
sentenceaware_contrastive_learning_for_opendomain_passage_retrieval,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
recognizing_mentions_of_adverse_drug_reaction_in_social_media_using_knowledgeinfused_recurrent_models,April,2017.0,EACL,https://aclanthology.org/E17-1014,stanovsky-etal-2017-recognizing,"Gabriel Stanovsky, Daniel Gruhl, and Pablo Mendes. 2017. Recognizing Mentions of Adverse Drug Reaction in Social Media Using Knowledge-Infused Recurrent Models. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 142–151, Valencia, Spain. Association for Computational Linguistics."
convlab_multidomain_endtoend_dialog_system_platform,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mt2_towards_a_multitask_machine_translation_model_with_translationspecific_incontext_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
discourselevel_representations_can_improve_prediction_of_degree_of_anxiety,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.128,juhng-etal-2023-discourse,"Swanie Juhng, Matthew Matero, Vasudha Varadarajan, Johannes Eichstaedt, Adithya V Ganesan, and H. Andrew Schwartz. 2023. Discourse-Level Representations can Improve Prediction of Degree of Anxiety. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1500–1511, Toronto, Canada. Association for Computational Linguistics."
word_sense_extension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
systematically_exploring_redundancy_reduction_in_summarizing_long_documents,December,2020.0,AACL,https://aclanthology.org/2020.aacl-main.51,xiao-carenini-2020-systematically,"Wen Xiao and Giuseppe Carenini. 2020. Systematically Exploring Redundancy Reduction in Summarizing Long Documents. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, pages 516–528, Suzhou, China. Association for Computational Linguistics."
biasdpo_mitigating_bias_in_language_models_through_direct_preference_optimization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
goemotions_a_dataset_of_finegrained_emotions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
all_labels_together_lowshot_intent_detection_with_an_efficient_label_semantic_encoding_paradigm,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_comprehensive_description_generation_from_factual_attributevalue_tables,July,2019.0,ACL,https://aclanthology.org/P19-1600,liu-etal-2019-towards-comprehensive,"Tianyu Liu, Fuli Luo, Pengcheng Yang, Wei Wu, Baobao Chang, and Zhifang Sui. 2019. Towards Comprehensive Description Generation from Factual Attribute-value Tables. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 5985–5996, Florence, Italy. Association for Computational Linguistics."
a_probabilistic_genreindependent_model_of_pronominalization,,2000.0,ANLP,https://aclanthology.org/A00-2003,strube-wolters-2000-probabilistic,Michael Strube and Maria Wolters. 2000. A Probabilistic Genre-Independent Model of Pronominalization. In 1st Meeting of the North American Chapter of the Association for Computational Linguistics.
computational_ad_hominem_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
retrieval_as_attention_endtoend_learning_of_retrieval_and_reading_within_a_single_transformer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
combo_of_thinking_and_observing_for_outsideknowledge_vqa,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_mdlbased_model_of_gender_knowledge_acquisition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatic_translation_of_spanprediction_datasets,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
parameterefficient_korean_characterlevel_language_modeling,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.172,cognetta-etal-2023-parameter,"Marco Cognetta, Sangwhan Moon, Lawrence Wolf-sonkin, and Naoaki Okazaki. 2023. Parameter-Efficient Korean Character-Level Language Modeling. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2350–2356, Dubrovnik, Croatia. Association for Computational Linguistics."
learning_constraints_for_structured_prediction_using_rectifier_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adversarially_regularising_neural_nli_models_to_integrate_logical_background_knowledge,October,2018.0,CoNLL,https://aclanthology.org/K18-1007,minervini-riedel-2018-adversarially,"Pasquale Minervini and Sebastian Riedel. 2018. Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge. In Proceedings of the 22nd Conference on Computational Natural Language Learning, pages 65–74, Brussels, Belgium. Association for Computational Linguistics."
enhancing_dialogue_summarization_with_topicaware_global_and_local_level_centrality,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.2,liang-etal-2023-enhancing,"Xinnian Liang, Shuangzhi Wu, Chenhao Cui, Jiaqi Bai, Chao Bian, and Zhoujun Li. 2023. Enhancing Dialogue Summarization with Topic-Aware Global- and Local- Level Centrality. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 27–38, Dubrovnik, Croatia. Association for Computational Linguistics."
simoap_improve_coherence_and_consistency_in_personabased_dialogue_generation_via_oversampling_and_postevaluation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_conll_2007_shared_task_on_dependency_parsing,June,2007.0,,https://aclanthology.org/D07-1096,nivre-etal-2007-conll,"Joakim Nivre, Johan Hall, Sandra Kübler, Ryan McDonald, Jens Nilsson, Sebastian Riedel, and Deniz Yuret. 2007. The CoNLL 2007 Shared Task on Dependency Parsing. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 915–932, Prague, Czech Republic. Association for Computational Linguistics."
scruffy_text_understanding_design_and_implementation_of_the_nomad_system,February,1983.0,ANLP,https://aclanthology.org/A83-1017,granger-etal-1983-scruffy,"Richard H. Granger, Chris J. Staros, Gregory S. Taylor, and Rika Yoshii. 1983. Scruffy Text Understanding: Design and Implementation of the NOMAD System. In First Conference on Applied Natural Language Processing, pages 104–106, Santa Monica, California, USA. Association for Computational Linguistics."
spanselective_linear_attention_transformers_for_effective_and_robust_schemaguided_dialogue_state_tracking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
target_inference_in_argument_conclusion_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
probabilistically_masked_language_model_capable_of_autoregressive_generation_in_arbitrary_word_order,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multimodal_relation_extraction_with_crossmodal_retrieval_and_synthesis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sentence_representations_via_gaussian_embedding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_probabilistic_answer_type_model,April,2006.0,EACL,https://aclanthology.org/E06-1050,pinchak-lin-2006-probabilistic,"Christopher Pinchak and Dekang Lin. 2006. A Probabilistic Answer Type Model. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 393–400, Trento, Italy. Association for Computational Linguistics."
improved_pattern_learning_for_bootstrapped_entity_extraction,June,2014.0,CoNLL,https://aclanthology.org/W14-1611,gupta-manning-2014-improved,"Sonal Gupta and Christopher Manning. 2014. Improved Pattern Learning for Bootstrapped Entity Extraction. In Proceedings of the Eighteenth Conference on Computational Natural Language Learning, pages 98–108, Ann Arbor, Michigan. Association for Computational Linguistics."
exploring_distantlylabeled_rationales_in_neural_network_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hypert5_towards_computeefficient_korean_language_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
chinese_syntactic_reordering_for_statistical_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
topicaware_neural_keyphrase_generation_for_social_media_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
smart_todo_automatic_generation_of_todo_items_from_emails,May,2018.0,LREC,https://aclanthology.org/L18-1586,schumann-martinez-alonso-2018-automatic,"Anne-Kathrin Schumann and Héctor Martínez Alonso. 2018. Automatic Annotation of Semantic Term Types in the Complete ACL Anthology Reference Corpus. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan. European Language Resources Association (ELRA)."
headdriven_phrase_structure_grammar_parsing_on_penn_treebank,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
small_language_models_improve_giants_by_rewriting_their_outputs,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.165,vernikos-etal-2024-small,"Giorgos Vernikos, Arthur Brazinskas, Jakub Adamek, Jonathan Mallinson, Aliaksei Severyn, and Eric Malmi. 2024. Small Language Models Improve Giants by Rewriting Their Outputs. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2703–2718, St. Julian’s, Malta. Association for Computational Linguistics."
dualchannel_span_for_aspect_sentiment_triplet_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_language_models_for_creoles,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sfqa_simple_and_fair_evaluation_library_for_opendomain_question_answering,April,2021.0,EACL,https://aclanthology.org/2021.eacl-demos.2,lu-etal-2021-sf,"Xiaopeng Lu, Kyusong Lee, and Tiancheng Zhao. 2021. SF-QA: Simple and Fair Evaluation Library for Open-domain Question Answering. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 7–13, Online. Association for Computational Linguistics."
generalized_entropy_regularization_or_theres_nothing_special_about_label_smoothing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dialogps_dialogue_path_sampling_in_continuous_semantic_space_for_data_augmentation_in_multiturn_conversations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
active_learning_for_coreference_resolution_using_discrete_annotation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
endtoend_bias_mitigation_by_modelling_biases_in_corpora,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
discomat_distantly_supervised_composition_extraction_from_tables_in_materials_science_articles,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_simple_concatenation_can_effectively_improve_speech_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
transcending_scaling_laws_with_01_extra_compute,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
treestructured_neural_topic_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
federated_learning_for_semantic_parsing_task_formulation_evaluation_setup_new_algorithms,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
augmentationadapted_retriever_improves_generalization_of_language_models_as_generic_plugin,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dr_chatgpt_tell_me_what_i_want_to_hear_how_different_prompts_impact_health_answer_correctness,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
preserving_knowledge_invariance_rethinking_robustness_evaluation_of_open_information_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
joint_training_of_candidate_extraction_and_answer_selection_for_reading_comprehension,July,2018.0,ACL,https://aclanthology.org/P18-1159,wang-etal-2018-joint,"Zhen Wang, Jiachen Liu, Xinyan Xiao, Yajuan Lyu, and Tian Wu. 2018. Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1715–1724, Melbourne, Australia. Association for Computational Linguistics."
multigranularity_temporal_question_answering_over_knowledge_graphs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
piekm_mlbased_procedural_information_extraction_and_knowledge_management_system_for_materials_science_literature,November,2022.0,,https://aclanthology.org/2022.aacl-demo.7,yang-2022-piekm,"Huichen Yang, Carlos Aguirre, and William Hsu. 2022. PIEKM: ML-based Procedural Information Extraction and Knowledge Management System for Materials Science Literature. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: System Demonstrations, pages 57–62, Taipei, Taiwan. Association for Computational Linguistics."
memorization_vs_generalization__quantifying_data_leakage_in_nlp_performance_evaluation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.113,elangovan-etal-2021-memorization,"Aparna Elangovan, Jiayuan He, and Karin Verspoor. 2021. Memorization vs. Generalization : Quantifying Data Leakage in NLP Performance Evaluation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1325–1335, Online. Association for Computational Linguistics."
why_did_the_chicken_cross_the_road_rephrasing_and_analyzing_ambiguous_questions_in_vqa,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
manipulating_the_difficulty_of_ctests,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gdcomet_a_geodiverse_commonsense_inference_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
embeddedstate_latent_conditional_random_fields_for_sequence_labeling,October,2018.0,CoNLL,https://aclanthology.org/K18-1001,thai-etal-2018-embedded,"Dung Thai, Sree Harsha Ramesh, Shikhar Murty, Luke Vilnis, and Andrew McCallum. 2018. Embedded-State Latent Conditional Random Fields for Sequence Labeling. In Proceedings of the 22nd Conference on Computational Natural Language Learning, pages 1–10, Brussels, Belgium. Association for Computational Linguistics."
addressee_identification_in_facetoface_meetings,April,2006.0,EACL,https://aclanthology.org/E06-1022,jovanovic-etal-2006-addressee,"Natasa Jovanovic, Rieks op den Akker, and Anton Nijholt. 2006. Addressee Identification in Face-to-Face Meetings. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 169–176, Trento, Italy. Association for Computational Linguistics."
is_the_pope_catholic_yes_the_pope_is_catholic_generative_evaluation_of_nonliteral_intent_resolution_in_llms,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
iit_bhu_submission_on_the_conll2016_shared_task_shallow_discourse_parsing_using_semantic_lexicons,August,2016.0,CoNLL,https://aclanthology.org/K16-2015,kaur-etal-2016-iit,"Manpreet Kaur, Nishu Kumari, Anil Kumar Singh, and Rajeev Sangal. 2016. IIT (BHU) Submission on the CoNLL-2016 Shared Task: Shallow Discourse Parsing using Semantic Lexicons. In Proceedings of the CoNLL-16 shared task, pages 108–114, Berlin, Germany. Association for Computational Linguistics."
mtp_a_dataset_for_multimodal_turning_points_in_casual_conversations,August,2024.0,ACL,https://aclanthology.org/2024.acl-short.30,ho-etal-2024-mtp,"Gia-Bao Ho, Chang Tan, Zahra Darban, Mahsa Salehi, Reza Haf, and Wray Buntine. 2024. MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 314–326, Bangkok, Thailand. Association for Computational Linguistics."
picking_them_up_and_figuring_them_out_verbparticle_constructions_noise_and_idiomaticity,August,2008.0,CoNLL,https://aclanthology.org/W08-2107,ramisch-etal-2008-picking,"Carlos Ramisch, Aline Villavicencio, Leonardo Moura, and Marco Idiart. 2008. Picking them up and Figuring them out: Verb-Particle Constructions, Noise and Idiomaticity. In CoNLL 2008: Proceedings of the Twelfth Conference on Computational Natural Language Learning, pages 49–56, Manchester, England. Coling 2008 Organizing Committee."
numeracy600k_learning_numeracy_for_detecting_exaggerated_information_in_market_comments,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_metrological_perspective_on_reproducibility_in_nlp,December,2022.0,CL,https://aclanthology.org/2022.cl-4.21,belz-2022-metrological,"Anya Belz. 2022. A Metrological Perspective on Reproducibility in NLP*. Computational Linguistics, 48(4):1125–1135."
visobert_a_pretrained_language_model_for_vietnamese_social_media_text_processing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
framework_of_semantic_role_assignment_based_on_extended_lexical_conceptual_structure_comparison_with_verbnet_and_framenet,April,2012.0,EACL,https://aclanthology.org/E12-1070,matsubayashi-etal-2012-framework,"Yuichiroh Matsubayashi, Yusuke Miyao, and Akiko Aizawa. 2012. Framework of Semantic Role Assignment based on Extended Lexical Conceptual Structure: Comparison with VerbNet and FrameNet. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 686–695, Avignon, France. Association for Computational Linguistics."
diagnre_a_neural_pattern_diagnosis_framework_for_distantly_supervised_neural_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lighter_can_still_be_dark_modeling_comparative_color_descriptions,July,2018.0,ACL,https://aclanthology.org/P18-2125,winn-muresan-2018-lighter,"Olivia Winn and Smaranda Muresan. 2018. ‘Lighter’ Can Still Be Dark: Modeling Comparative Color Descriptions. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 790–795, Melbourne, Australia. Association for Computational Linguistics."
dynamically_fused_graph_network_for_multihop_reasoning,July,2019.0,ACL,https://aclanthology.org/P19-1617,qiu-etal-2019-dynamically,"Lin Qiu, Yunxuan Xiao, Yanru Qu, Hao Zhou, Lei Li, Weinan Zhang, and Yong Yu. 2019. Dynamically Fused Graph Network for Multi-hop Reasoning. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 6140–6150, Florence, Italy. Association for Computational Linguistics."
seeing_through_the_mess_evolutionary_dynamics_of_lexical_polysemy,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tutoring_helps_students_learn_better_improving_knowledge_distillation_for_bert_with_tutor_network,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.498,kim-etal-2022-tutoring,"Junho Kim, Jun-Hyung Park, Mingyu Lee, Wing-Lam Mok, Joon-Young Choi, and SangKeun Lee. 2022. Tutoring Helps Students Learn Better: Improving Knowledge Distillation for BERT with Tutor Network. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7371–7382, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
phrasectm_correlated_topic_modeling_on_phrases_within_markov_random_fields,July,2018.0,ACL,https://aclanthology.org/P18-2083,huang-2018-phrasectm,"Weijing Huang. 2018. PhraseCTM: Correlated Topic Modeling on Phrases within Markov Random Fields. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 521–526, Melbourne, Australia. Association for Computational Linguistics."
measuring_conversational_uptake_a_case_study_on_studentteacher_interactions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_debiasing_sentence_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crossdocument_event_coreference_resolution_instruct_humans_or_instruct_gpt,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
contextspecific_language_modeling_for_human_trafficking_detection_from_online_advertisements,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
transformerbased_localization_from_embodied_dialog_with_largescale_pretraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
narrowbert_accelerating_masked_language_model_pretraining_and_inference,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.146,li-etal-2023-narrowbert,"Haoxin Li, Phillip Keung, Daniel Cheng, Jungo Kasai, and Noah A. Smith. 2023. NarrowBERT: Accelerating Masked Language Model Pretraining and Inference. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1723–1730, Toronto, Canada. Association for Computational Linguistics."
ferret_a_framework_for_benchmarking_explainers_on_transformers,May,2023.0,EACL,https://aclanthology.org/2023.eacl-demo.29,attanasio-etal-2023-ferret,"Giuseppe Attanasio, Eliana Pastor, Chiara Di Bonaventura, and Debora Nozza. 2023. ferret: a Framework for Benchmarking Explainers on Transformers. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 256–266, Dubrovnik, Croatia. Association for Computational Linguistics."
sparse_lowrank_adaptation_of_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
larger_probes_tell_a_different_story_extending_psycholinguistic_datasets_via_incontext_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_japanese_word_segmentation_proposal,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
do_pretrained_contextual_language_models_distinguish_between_hebrew_homograph_analyses,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.59,shmidman-etal-2023-pretrained,"Avi Shmidman, Cheyn Shmuel Shmidman, Dan Bareket, Moshe Koppel, and Reut Tsarfaty. 2023. Do Pretrained Contextual Language Models Distinguish between Hebrew Homograph Analyses?. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 849–864, Dubrovnik, Croatia. Association for Computational Linguistics."
xiaomingbot_a_multilingual_robot_news_reporter,July,2020.0,ACL,https://aclanthology.org/2020.acl-demos.1,xu-etal-2020-xiaomingbot,"Runxin Xu, Jun Cao, Mingxuan Wang, Jiaze Chen, Hao Zhou, Ying Zeng, Yuping Wang, Li Chen, Xiang Yin, Xijin Zhang, Songcheng Jiang, Yuxuan Wang, and Lei Li. 2020. Xiaomingbot: A Multilingual Robot News Reporter. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 1–8, Online. Association for Computational Linguistics."
conformal_predictor_for_improving_zeroshot_text_classification_efficiency,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.196,choubey-etal-2022-conformal,"Prafulla Kumar Choubey, Yu Bai, Chien-Sheng Wu, Wenhao Liu, and Nazneen Rajani. 2022. Conformal Predictor for Improving Zero-Shot Text Classification Efficiency. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3027–3034, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
lets_not_quote_out_of_context_unified_visionlanguage_pretraining_for_context_assisted_image_captioning,July,2023.0,ACL,https://aclanthology.org/2023.acl-industry.67,rajakumar-kalarani-etal-2023-lets,"Abisek Rajakumar Kalarani, Pushpak Bhattacharyya, Niyati Chhaya, and Sumit Shekhar. 2023. “Let’s not Quote out of Context”: Unified Vision-Language Pretraining for Context Assisted Image Captioning. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 695–706, Toronto, Canada. Association for Computational Linguistics."
turing_an_accurate_and_interpretable_multihypothesis_crossdomain_natural_language_database_interface,August,2021.0,,https://aclanthology.org/2021.acl-demo.36,xu-etal-2021-turing,"Peng Xu, Wenjie Zi, Hamidreza Shahidi, Ákos Kádár, Keyi Tang, Wei Yang, Jawad Ateeq, Harsh Barot, Meidan Alon, and Yanshuai Cao. 2021. TURING: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations, pages 298–305, Online. Association for Computational Linguistics."
computational_cognitive_modeling_of_predictive_sentence_processing_in_a_second_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
blackbox_language_model_explanation_by_context_length_probing,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.92,cifka-liutkus-2023-black,"Ondřej Cífka and Antoine Liutkus. 2023. Black-box language model explanation by context length probing. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1067–1079, Toronto, Canada. Association for Computational Linguistics."
dialogue_summarization_with_staticdynamic_structure_fusion_graph,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
investigating_data_partitioning_strategies_for_crosslinguistic_lowresource_asr_evaluation,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.10,liu-etal-2023-investigating,"Zoey Liu, Justin Spence, and Emily Prud’hommeaux. 2023. Investigating data partitioning strategies for crosslinguistic low-resource ASR evaluation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 123–131, Dubrovnik, Croatia. Association for Computational Linguistics."
a_sequential_flow_control_framework_for_multihop_knowledge_base_question_answering,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.578,xie-etal-2022-sequential,"Minghui Xie, Chuzhan Hao, and Peng Zhang. 2022. A Sequential Flow Control Framework for Multi-hop Knowledge Base Question Answering. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8450–8460, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
automatic_detection_of_nonreferential_it_in_spoken_multiparty_dialog,April,2006.0,EACL,https://aclanthology.org/E06-1007,muller-2006-automatic,"Christoph Müller. 2006. Automatic Detection of Nonreferential It in Spoken Multi-Party Dialog. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 49–56, Trento, Italy. Association for Computational Linguistics."
bridging_informationseeking_human_gaze_and_machine_reading_comprehension,November,2020.0,CoNLL,https://aclanthology.org/2020.conll-1.11,malmaud-etal-2020-bridging,"Jonathan Malmaud, Roger Levy, and Yevgeni Berzak. 2020. Bridging Information-Seeking Human Gaze and Machine Reading Comprehension. In Proceedings of the 24th Conference on Computational Natural Language Learning, pages 142–152, Online. Association for Computational Linguistics."
neuralwoz_learning_to_collect_taskoriented_dialogue_via_modelbased_simulation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
iflyea_a_chinese_essay_assessment_system_with_automated_rating_review_generation_and_recommendation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
winowhy_a_deep_diagnosis_of_essential_commonsense_knowledge_for_answering_winograd_schema_challenge,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
chainofquestions_training_with_latent_answers_for_robust_multistep_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dynamic_prefixtuning_for_generative_templatebased_event_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilevel_attention_aggregation_for_languageagnostic_speaker_replication,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.3,jeon-lee-2024-multi,"Yejin Jeon and Gary Lee. 2024. Multi-Level Attention Aggregation for Language-Agnostic Speaker Replication. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 14–20, St. Julian’s, Malta. Association for Computational Linguistics."
discontinuous_named_entity_recognition_as_maximal_clique_discovery,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dynamic_fusion_network_for_multidomain_endtoend_taskoriented_dialog,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
easyturk_a_userfriendly_interface_for_highquality_linguistic_annotation_with_amazon_mechanical_turk,April,2021.0,EACL,https://aclanthology.org/2021.eacl-demos.13,bocchi-etal-2021-easyturk,"Lorenzo Bocchi, Valentino Frasnelli, and Alessio Palmero Aprosio. 2021. EasyTurk: A User-Friendly Interface for High-Quality Linguistic Annotation with Amazon Mechanical Turk. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 106–112, Online. Association for Computational Linguistics."
how_does_selective_mechanism_improve_selfattention_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
eli5_long_form_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multirelational_hyperbolic_word_embeddings_from_natural_language_definitions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_distribution_of_deep_clausal_embeddings_a_large_crosslinguistic_study,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
amr_parsing_with_latent_structural_information,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dialoguebased_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
how_to_tackle_an_emerging_topic_combining_strong_and_weak_labels_for_covid_news_ner,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multiview_document_representation_learning_for_opendomain_dense_retrieval,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
minimally_supervised_model_of_early_language_acquisition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
predicting_strong_associations_on_the_basis_of_corpus_data,March,2009.0,EACL,https://aclanthology.org/E09-1074,peirsman-geeraerts-2009-predicting,"Yves Peirsman and Dirk Geeraerts. 2009. Predicting Strong Associations on the Basis of Corpus Data. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 648–656, Athens, Greece. Association for Computational Linguistics."
unbounded_stress_in_subregular_phonology,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
harnessing_nlp_techniques_in_the_processes_of_multilingual_content_management,April,2012.0,EACL,https://aclanthology.org/E12-2002,belogay-etal-2012-harnessing,"Anelia Belogay, Diman Karagyozov, Svetla Koeva, Cristina Vertan, Adam Przepiórkowski, Dan Cristea, and Plovios Raxis. 2012. Harnessing NLP Techniques in the Processes of Multilingual Content Management. In Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 6–10, Avignon, France. Association for Computational Linguistics."
zeroshot_triplet_extraction_by_template_infilling,November,2023.0,,https://aclanthology.org/2023.ijcnlp-main.18,kim-etal-2023-zero,"Bosung Kim, Hayate Iso, Nikita Bhutani, Estevam Hruschka, Ndapa Nakashole, and Tom Mitchell. 2023. Zero-shot Triplet Extraction by Template Infilling. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 272–284, Nusa Dua, Bali. Association for Computational Linguistics."
supervised_morphological_segmentation_in_a_lowresource_learning_setting_using_conditional_random_fields,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
processlevel_representation_of_scientific_protocols_with_interactive_annotation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.187,tamari-etal-2021-process,"Ronen Tamari, Fan Bai, Alan Ritter, and Gabriel Stanovsky. 2021. Process-Level Representation of Scientific Protocols with Interactive Annotation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2190–2202, Online. Association for Computational Linguistics."
a_multiaspect_analysis_of_automatic_essay_scoring_for_brazilian_portuguese,April,2017.0,EACL,https://aclanthology.org/E17-4010,amorim-veloso-2017-multi,"Evelin Amorim and Adriano Veloso. 2017. A Multi-aspect Analysis of Automatic Essay Scoring for Brazilian Portuguese. In Proceedings of the Student Research Workshop at the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 94–102, Valencia, Spain. Association for Computational Linguistics."
personalizing_dialogue_agents_i_have_a_dog_do_you_have_pets_too,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
markqa_a_large_scale_kbqa_dataset_with_numerical_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cross2stra_unpaired_crosslingual_image_captioning_with_crosslingual_crossmodal_structurepivoted_alignment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
universal_morphosyntactic_parsing_and_the_contribution_of_lexica_analyzing_the_onlp_lab_submission_to_the_conll_2018_shared_task,October,2018.0,CoNLL,https://aclanthology.org/K18-2021,seker-etal-2018-universal,"Amit Seker, Amir More, and Reut Tsarfaty. 2018. Universal Morpho-Syntactic Parsing and the Contribution of Lexica: Analyzing the ONLP Lab Submission to the CoNLL 2018 Shared Task. In Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 208–215, Brussels, Belgium. Association for Computational Linguistics."
metalearning_via_language_model_incontext_tuning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_discontinuous_constituency_parsing_with_mildly_contextsensitive_grammars,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
targettosource_augmentation_for_aspect_sentiment_triplet_extraction,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.747,zhang-etal-2023-target-source,"Yice Zhang, Yifan Yang, Meng Li, Bin Liang, Shiwei Chen, and Ruifeng Xu. 2023. Target-to-Source Augmentation for Aspect Sentiment Triplet Extraction. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12165–12177, Singapore. Association for Computational Linguistics."
a_statutory_article_retrieval_dataset_in_french,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
winodict_probing_language_models_for_incontext_word_acquisition,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.7,eisenschlos-etal-2023-winodict,"Julian Martin Eisenschlos, Jeremy R. Cole, Fangyu Liu, and William W. Cohen. 2023. WinoDict: Probing language models for in-context word acquisition. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 94–102, Dubrovnik, Croatia. Association for Computational Linguistics."
modeling_codeswitch_languages_using_bilingual_parallel_corpus,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
you_dont_have_time_to_read_this_an_exploration_of_document_reading_time_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_human_subject_study_of_named_entity_recognition_in_conversational_music_recommendation_queries,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
transformerbased_live_update_generation_for_soccer_matches_from_microblog_posts,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.624,oshika-etal-2023-transformer,"Masashi Oshika, Kosuke Yamada, Ryohei Sasano, and Koichi Takeda. 2023. Transformer-based Live Update Generation for Soccer Matches from Microblog Posts. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 10100–10106, Singapore. Association for Computational Linguistics."
is_attention_explanation_an_introduction_to_the_debate,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_text_sanitization_with_explicit_measures_of_privacy_risk,November,2022.0,,https://aclanthology.org/2022.aacl-main.18,papadopoulou-etal-2022-neural,"Anthi Papadopoulou, Yunhao Yu, Pierre Lison, and Lilja Øvrelid. 2022. Neural Text Sanitization with Explicit Measures of Privacy Risk. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 217–229, Online only. Association for Computational Linguistics."
syllogistic_reasoning_for_legal_judgment_analysis,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.864,deng-etal-2023-syllogistic,"Wentao Deng, Jiahuan Pei, Keyi Kong, Zhe Chen, Furu Wei, Yujun Li, Zhaochun Ren, Zhumin Chen, and Pengjie Ren. 2023. Syllogistic Reasoning for Legal Judgment Analysis. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13997–14009, Singapore. Association for Computational Linguistics."
leveraging_similar_users_for_personalized_language_modeling_with_limited_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rapo_an_adaptive_ranking_paradigm_for_bilingual_lexicon_induction,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.606,tian-etal-2022-rapo,"Zhoujin Tian, Chaozhuo Li, Shuo Ren, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Denvy Deng, Qi Zhang, and Xing Xie. 2022. RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8870–8883, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
enhancing_personalized_dialogue_generation_with_contrastive_latent_variables_combining_sparse_and_dense_persona,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bless_benchmarking_large_language_models_on_sentence_simplification,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.821,kew-etal-2023-bless,"Tannon Kew, Alison Chi, Laura Vásquez-Rodríguez, Sweta Agrawal, Dennis Aumiller, Fernando Alva-Manchego, and Matthew Shardlow. 2023. BLESS: Benchmarking Large Language Models on Sentence Simplification. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13291–13309, Singapore. Association for Computational Linguistics."
esra_explainable_scientific_research_assistant,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
grammar_induction_pretraining_for_language_modeling_in_low_resource_contexts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
to_attend_or_not_to_attend_a_case_study_on_syntactic_structures_for_semantic_relatedness,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sequencetosequence_knowledge_graph_completion_and_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_keyphrase_generation_via_reinforcement_learning_with_adaptive_rewards,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unimse_towards_unified_multimodal_sentiment_analysis_and_emotion_recognition,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.534,hu-etal-2022-unimse,"Guimin Hu, Ting-En Lin, Yi Zhao, Guangming Lu, Yuchuan Wu, and Yongbin Li. 2022. UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7837–7851, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
correlating_twitter_language_with_communitylevel_health_outcomes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
distilling_dialogues__a_method_using_natural_dialogue_corpora_for_dialogue_systems_development,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
homophone2vec_embedding_space_analysis_for_empirical_evaluation_of_phonological_and_semantic_similarity,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neoveille_a_web_platform_for_neologism_tracking,April,2017.0,EACL,https://aclanthology.org/E17-3024,cartier-2017-neoveille,"Emmanuel Cartier. 2017. Neoveille, a Web Platform for Neologism Tracking. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 95–98, Valencia, Spain. Association for Computational Linguistics."
global_autoregressive_models_for_dataefficient_sequence_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
better_word_representations_with_recursive_neural_networks_for_morphology,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_sequencetosequence_learning_in_aspect_term_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
legoeval_an_opensource_toolkit_for_dialogue_system_evaluation_via_crowdsourcing,August,2021.0,,https://aclanthology.org/2021.acl-demo.38,li-etal-2021-legoeval,"Yu Li, Josh Arnold, Feifan Yan, Weiyan Shi, and Zhou Yu. 2021. LEGOEval: An Open-Source Toolkit for Dialogue System Evaluation via Crowdsourcing. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations, pages 317–324, Online. Association for Computational Linguistics."
grounded_conversation_generation_as_guided_traverses_in_commonsense_knowledge_graphs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
does_corpus_quality_really_matter_for_lowresource_languages,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.499,artetxe-etal-2022-corpus,"Mikel Artetxe, Itziar Aldabe, Rodrigo Agerri, Olatz Perez-de-Viñaspre, and Aitor Soroa. 2022. Does Corpus Quality Really Matter for Low-Resource Languages?. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7383–7390, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
relation_module_for_nonanswerable_predictions_on_reading_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fact_or_factitious_contextualized_opinion_spam_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
weaklysupervised_temporal_article_grounding,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.639,chen-etal-2022-weakly,"Long Chen, Yulei Niu, Brian Chen, Xudong Lin, Guangxing Han, Christopher Thomas, Hammad Ayyubi, Heng Ji, and Shih-Fu Chang. 2022. Weakly-Supervised Temporal Article Grounding. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9402–9413, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
uncovering_codemixed_challenges_a_framework_for_linguistically_driven_question_generation_and_neural_based_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_selfconsistency_and_performance_of_pretrained_language_models_through_natural_language_inference,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.115,mitchell-etal-2022-enhancing,"Eric Mitchell, Joseph Noh, Siyan Li, Will Armstrong, Ananth Agarwal, Patrick Liu, Chelsea Finn, and Christopher Manning. 2022. Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1754–1768, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
revisiting_the_boundary_between_asr_and_nlu_in_the_age_of_conversational_dialog_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
acquired_a_dataset_for_answering_counterfactual_questions_in_reallife_videos,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.719,wu-etal-2023-acquired,"Te-Lin Wu, Zi-Yi Dou, Qingyuan Hu, Yu Hou, Nischal Chandra, Marjorie Freedman, Ralph Weischedel, and Nanyun Peng. 2023. ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life Videos. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11753–11770, Singapore. Association for Computational Linguistics."
what_you_say_and_how_you_say_it_matters_predicting_stock_volatility_using_verbal_and_vocal_cues,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
contextaware_neural_model_for_temporal_information_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_multiturn_dialogue_modelling_with_utterance_rewriter,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
meganno_a_humanllm_collaborative_annotation_system,March,2024.0,EACL,https://aclanthology.org/2024.eacl-demo.18,kim-etal-2024-meganno,"Hannah Kim, Kushan Mitra, Rafael Li Chen, Sajjadur Rahman, and Dan Zhang. 2024. MEGAnno+: A Human-LLM Collaborative Annotation System. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 168–176, St. Julians, Malta. Association for Computational Linguistics."
answerquest_a_system_for_generating_questionanswer_items_from_multiparagraph_documents,April,2021.0,EACL,https://aclanthology.org/2021.eacl-demos.6,roemmele-etal-2021-answerquest,"Melissa Roemmele, Deep Sidhpura, Steve DeNeefe, and Ling Tsou. 2021. AnswerQuest: A System for Generating Question-Answer Items from Multi-Paragraph Documents. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 40–52, Online. Association for Computational Linguistics."
goalembedded_dual_hierarchical_model_for_taskoriented_dialogue_generation,November,2019.0,CoNLL,https://aclanthology.org/K19-1075,lai-etal-2019-goal,"Yi-An Lai, Arshit Gupta, and Yi Zhang. 2019. Goal-Embedded Dual Hierarchical Model for Task-Oriented Dialogue Generation. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 798–811, Hong Kong, China. Association for Computational Linguistics."
a_unified_approach_to_sentence_segmentation_of_punctuated_text_in_many_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
heidl_learning_linguistic_expressions_with_deep_learning_and_humanintheloop,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crisscrossed_captions_extended_intramodal_and_intermodal_semantic_similarity_judgments_for_mscoco,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.249,parekh-etal-2021-crisscrossed,"Zarana Parekh, Jason Baldridge, Daniel Cer, Austin Waters, and Yinfei Yang. 2021. Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2855–2870, Online. Association for Computational Linguistics."
precedentenhanced_legal_judgment_prediction_with_llm_and_domainmodel_collaboration,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.740,wu-etal-2023-precedent,"Yiquan Wu, Siying Zhou, Yifei Liu, Weiming Lu, Xiaozhong Liu, Yating Zhang, Changlong Sun, Fei Wu, and Kun Kuang. 2023. Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12060–12075, Singapore. Association for Computational Linguistics."
sentistream_a_cotraining_framework_for_adaptive_online_sentiment_analysis_in_evolving_data_streams,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
probing_linguistic_systematicity,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
experimenting_with_the_interaction_between_aggregation_and_text_structuring,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
how_large_are_lions_inducing_distributions_over_quantitative_attributes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
coreference_resolution_with_entity_equalization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
using_nonlexical_features_to_identify_effective_indexing_terms_for_biomedical_illustrations,March,2009.0,EACL,https://aclanthology.org/E09-1084,simpson-etal-2009-using,"Matthew Simpson, Dina Demner-Fushman, Charles Sneiderman, Sameer K. Antani, and George R. Thoma. 2009. Using Non-Lexical Features to Identify Effective Indexing Terms for Biomedical Illustrations. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 737–744, Athens, Greece. Association for Computational Linguistics."
improving_distributional_semantic_vectors_through_context_selection_and_normalisation,April,2014.0,EACL,https://aclanthology.org/E14-1025,polajnar-clark-2014-improving,"Tamara Polajnar and Stephen Clark. 2014. Improving Distributional Semantic Vectors through Context Selection and Normalisation. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 230–238, Gothenburg, Sweden. Association for Computational Linguistics."
grokking_of_hierarchical_structure_in_vanilla_transformers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
to_adapt_or_to_annotate_challenges_and_interventions_for_domain_adaptation_in_opendomain_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
trojansql_sql_injection_against_natural_language_interface_to_database,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
supervised_prototypical_contrastive_learning_for_emotion_recognition_in_conversation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
comparing_probabilistic_distributional_and_transformerbased_models_on_logical_metonymy_interpretation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rope_reading_order_equivariant_positional_encoding_for_graphbased_document_information_extraction,August,2021.0,,https://aclanthology.org/2021.acl-short.41,lee-etal-2021-rope,"Chen-Yu Lee, Chun-Liang Li, Chu Wang, Renshen Wang, Yasuhisa Fujii, Siyang Qin, Ashok Popat, and Tomas Pfister. 2021. ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 314–321, Online. Association for Computational Linguistics."
analyzing_the_forgetting_problem_in_pretrainfinetuning_of_opendomain_dialogue_response_models,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.95,he-etal-2021-analyzing,"Tianxing He, Jun Liu, Kyunghyun Cho, Myle Ott, Bing Liu, James Glass, and Fuchun Peng. 2021. Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1121–1133, Online. Association for Computational Linguistics."
a_simple_contrastive_learning_framework_for_interactive_argument_pair_identification_via_argumentcontext_extraction,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.681,shi-etal-2022-simple,"Lida Shi, Fausto Giunchiglia, Rui Song, Daqian Shi, Tongtong Liu, Xiaolei Diao, and Hao Xu. 2022. A Simple Contrastive Learning Framework for Interactive Argument Pair Identification via Argument-Context Extraction. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10027–10039, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
machine_translation_of_spanish_personal_and_possessive_pronouns_using_anaphora_probabilities,April,2017.0,EACL,https://aclanthology.org/E17-2100,luong-etal-2017-machine,"Ngoc Quang Luong, Andrei Popescu-Belis, Annette Rios Gonzales, and Don Tuggener. 2017. Machine Translation of Spanish Personal and Possessive Pronouns Using Anaphora Probabilities. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 631–636, Valencia, Spain. Association for Computational Linguistics."
conceptbased_persona_expansion_for_improving_diversity_of_personagrounded_dialogue,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.252,kim-etal-2023-concept,"Donghyun Kim, Youbin Ahn, Chanhee Lee, Wongyu Kim, Kyong-Ho Lee, Donghoon Shin, and Yeonsoo Lee. 2023. Concept-based Persona Expansion for Improving Diversity of Persona-Grounded Dialogue. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3471–3481, Dubrovnik, Croatia. Association for Computational Linguistics."
probabilistic_coordination_disambiguation_in_a_fullylexicalized_japanese_parser,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
scenetext_aware_image_and_text_retrieval_with_dualencoder,May,2022.0,ACL,https://aclanthology.org/2022.acl-srw.34,miyawaki-etal-2022-scene,"Shumpei Miyawaki, Taku Hasegawa, Kyosuke Nishida, Takuma Kato, and Jun Suzuki. 2022. Scene-Text Aware Image and Text Retrieval with Dual-Encoder. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 422–433, Dublin, Ireland. Association for Computational Linguistics."
analysing_statebacked_propaganda_websites_a_new_dataset_and_linguistic_study,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
textimager_as_a_generic_interface_to_r,April,2017.0,EACL,https://aclanthology.org/E17-3005,uslu-etal-2017-textimager,"Tolga Uslu, Wahed Hemati, Alexander Mehler, and Daniel Baumartz. 2017. TextImager as a Generic Interface to R. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 17–20, Valencia, Spain. Association for Computational Linguistics."
gatekeeper_to_save_cogs_and_improve_efficiency_of_text_prediction,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.5,tiwari-etal-2023-gatekeeper,"Nidhi Tiwari, Sneha Kola, Milos Milunovic, Si-qing Chen, and Marjan Slavkovski. 2023. Gatekeeper to save COGS and improve efficiency of Text Prediction. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 46–53, Singapore. Association for Computational Linguistics."
supert_towards_new_frontiers_in_unsupervised_evaluation_metrics_for_multidocument_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
diverse_and_relevant_visual_storytelling_with_scene_graph_embeddings,November,2020.0,CoNLL,https://aclanthology.org/2020.conll-1.34,hong-etal-2020-diverse,"Xudong Hong, Rakshith Shetty, Asad Sayeed, Khushboo Mehra, Vera Demberg, and Bernt Schiele. 2020. Diverse and Relevant Visual Storytelling with Scene Graph Embeddings. In Proceedings of the 24th Conference on Computational Natural Language Learning, pages 420–430, Online. Association for Computational Linguistics."
tsanno_an_annotation_tool_to_build_annotate_and_evaluate_text_simplification_corpora,May,2022.0,ACL,https://aclanthology.org/2022.acl-demo.14,stodden-kallmeyer-2022-ts,"Regina Stodden and Laura Kallmeyer. 2022. TS-ANNO: An Annotation Tool to Build, Annotate and Evaluate Text Simplification Corpora. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 145–155, Dublin, Ireland. Association for Computational Linguistics."
when_did_you_become_so_smart_oh_wise_one_sarcasm_explanation_in_multimodal_multiparty_dialogues,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
comparing_templatebased_and_templatefree_language_model_probing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
computing_word_similarity_and_identifying_cognates_with_pair_hidden_markov_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
charttotext_a_largescale_benchmark_for_chart_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generated_knowledge_prompting_for_commonsense_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_fuzzy_repair_integrating_fuzzy_matches_into_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_wind_of_change_detecting_and_evaluating_lexical_semantic_change_across_times_and_domains,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
syntaxgym_an_online_platform_for_targeted_evaluation_of_language_models,July,2020.0,ACL,https://aclanthology.org/2020.acl-demos.10,gauthier-etal-2020-syntaxgym,"Jon Gauthier, Jennifer Hu, Ethan Wilcox, Peng Qian, and Roger Levy. 2020. SyntaxGym: An Online Platform for Targeted Evaluation of Language Models. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 70–76, Online. Association for Computational Linguistics."
zeroshot_dependency_parsing_with_worstcase_aware_automated_curriculum_learning,May,2022.0,ACL,https://aclanthology.org/2022.acl-short.64,de-lhoneux-etal-2022-zero,"Miryam de Lhoneux, Sheng Zhang, and Anders Søgaard. 2022. Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum Learning. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 578–587, Dublin, Ireland. Association for Computational Linguistics."
evaluating_factuality_in_text_simplification,May,2022.0,ACL,https://aclanthology.org/2022.acl-long.506,devaraj-etal-2022-evaluating,"Ashwin Devaraj, William Sheffield, Byron Wallace, and Junyi Jessy Li. 2022. Evaluating Factuality in Text Simplification. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 7331–7345, Dublin, Ireland. Association for Computational Linguistics."
boosting_natural_language_generation_from_instructions_with_metalearning,July,2019.0,ACL,https://aclanthology.org/P19-1005,du-black-2019-boosting,"Wenchao Du and Alan W Black. 2019. Boosting Dialog Response Generation. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 38–43, Florence, Italy. Association for Computational Linguistics."
dyploc_dynamic_planning_of_content_using_mixed_language_models_for_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
backdooring_neural_code_search,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multihop_reading_comprehension_across_multiple_documents_by_reasoning_over_heterogeneous_graphs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
outofscope_intent_detection_with_selfsupervision_and_discriminative_training,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
simple_questions_generate_named_entity_recognition_datasets,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.417,kim-etal-2022-simple,"Hyunjae Kim, Jaehyo Yoo, Seunghyun Yoon, Jinhyuk Lee, and Jaewoo Kang. 2022. Simple Questions Generate Named Entity Recognition Datasets. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6220–6236, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
continuous_learning_in_neural_machine_translation_using_bilingual_dictionaries,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.70,niehues-2021-continuous,"Jan Niehues. 2021. Continuous Learning in Neural Machine Translation using Bilingual Dictionaries. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 830–840, Online. Association for Computational Linguistics."
neural_news_recommendation_with_long_and_shortterm_user_representations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
large_language_models_for_mathematical_reasoning_progresses_and_challenges,March,2024.0,EACL,https://aclanthology.org/2024.eacl-srw.17,ahn-etal-2024-large,"Janice Ahn, Rishu Verma, Renze Lou, Di Liu, Rui Zhang, and Wenpeng Yin. 2024. Large Language Models for Mathematical Reasoning: Progresses and Challenges. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 225–237, St. Julian’s, Malta. Association for Computational Linguistics."
learning_to_rank_visual_stories_from_human_ranking_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
causalityaware_concept_extraction_based_on_knowledgeguided_prompting,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
its_easier_to_translate_out_of_english_than_into_it_measuring_neural_translation_difficulty_by_crossmutual_information,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_a_mechanistic_interpretation_of_multistep_reasoning_capabilities_of_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
languageagnostic_metalearning_for_lowresource_texttospeech_with_articulatory_features,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
typorobust_representation_learning_for_dense_retrieval,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adversarial_training_for_crossdomain_universal_dependency_parsing,August,2017.0,CoNLL,https://aclanthology.org/K17-3007,sato-etal-2017-adversarial,"Motoki Sato, Hitoshi Manabe, Hiroshi Noji, and Yuji Matsumoto. 2017. Adversarial Training for Cross-Domain Universal Dependency Parsing. In Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 71–79, Vancouver, Canada. Association for Computational Linguistics."
building_a_usergenerated_content_northafrican_arabizi_treebank_tackling_hell,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_effective_and_efficient_entity_alignment_decoding_algorithm_via_thirdorder_tensor_isomorphism,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learnable_privacy_neurons_localization_in_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
explicit_planning_helps_language_models_in_logical_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
zeroshot_semantic_parsing_for_instructions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_sltinteractions_parsing_system_at_the_conll_2018_shared_task,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cast_a_computeraided_summarisation_tool,April,2003.0,EACL,https://aclanthology.org/E03-1066,orasan-etal-2003-cast,"Constantin Orasan, Ruslan Mitkov, and Laura Hasler. 2003. CAST: A computer-aided summarisation tool. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
adaptive_hyperparameter_learning_for_deep_semantic_retrieval,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.72,li-etal-2023-adaptive,"Mingming Li, Chunyuan Yuan, Huimu Wang, Peng Wang, Jingwei Zhuo, Binbin Wang, Lin Liu, and Sulong Xu. 2023. Adaptive Hyper-parameter Learning for Deep Semantic Retrieval. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 775–782, Singapore. Association for Computational Linguistics."
observing_the_learning_curve_of_nmt_systems_with_regard_to_linguistic_phenomena,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_paracrawl_for_documentlevel_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
word_embedding_and_wordnet_based_metaphor_identification_and_interpretation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
spuq_perturbationbased_uncertainty_quantification_for_large_language_models,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.143,gao-etal-2024-spuq,"Xiang Gao, Jiaxin Zhang, Lalla Mouatadid, and Kamalika Das. 2024. SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2336–2346, St. Julian’s, Malta. Association for Computational Linguistics."
towards_reinterpreting_neural_topic_models_via_composite_activations,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.242,lim-lauw-2022-towards,"Jia Peng Lim and Hady Lauw. 2022. Towards Reinterpreting Neural Topic Models via Composite Activations. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3688–3703, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
a_generative_model_for_joint_natural_language_understanding_and_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
relational_graph_attention_network_for_aspectbased_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
explaining_contextualization_in_language_models_using_visual_analytics,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_tree_transducer_model_for_grammatical_error_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
zeroshot_faithfulness_evaluation_for_text_summarization_with_foundation_language_model,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.679,jia-etal-2023-zero,"Qi Jia, Siyu Ren, Yizhu Liu, and Kenny Zhu. 2023. Zero-shot Faithfulness Evaluation for Text Summarization with Foundation Language Model. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11017–11031, Singapore. Association for Computational Linguistics."
development_of_conversational_ai_for_sleep_coaching_programme,April,2021.0,EACL,https://aclanthology.org/2021.eacl-srw.17,shim-2021-development,"Heereen Shim. 2021. Development of Conversational AI for Sleep Coaching Programme. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 121–128, Online. Association for Computational Linguistics."
all_things_considered_detecting_partisan_events_from_news_media_with_crossarticle_comparison,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.957,liu-etal-2023-things,"Yujian Liu, Xinliang Zhang, Kaijian Zou, Ruihong Huang, Nicholas Beauchamp, and Lu Wang. 2023. All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15472–15488, Singapore. Association for Computational Linguistics."
isovec_controlling_the_relative_isomorphism_of_word_embedding_spaces,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
janus_joint_autoregressive_and_nonautoregressive_training_with_auxiliary_loss_for_sequence_generation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.550,liang-etal-2022-janus,"Xiaobo Liang, Lijun Wu, Juntao Li, and Min Zhang. 2022. JANUS: Joint Autoregressive and Non-autoregressive Training with Auxiliary Loss for Sequence Generation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8050–8060, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
a_comparative_analysis_of_taskagnostic_distillation_methods_for_compressing_transformer_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_detecting_political_bias_in_hindi_news_articles,May,2022.0,ACL,https://aclanthology.org/2022.acl-srw.17,agrawal-etal-2022-towards,"Samyak Agrawal, Kshitij Gupta, Devansh Gautam, and Radhika Mamidi. 2022. Towards Detecting Political Bias in Hindi News Articles. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 239–244, Dublin, Ireland. Association for Computational Linguistics."
replicating_and_extending_because_their_treebanks_leak_graph_isomorphism_covariants_and_parser_performance,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dont_prompt_search_miningbased_zeroshot_learning_with_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hierarchical_phrasebased_sequencetosequence_learning,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.563,wang-etal-2022-hierarchical-phrase,"Bailin Wang, Ivan Titov, Jacob Andreas, and Yoon Kim. 2022. Hierarchical Phrase-Based Sequence-to-Sequence Learning. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8211–8229, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
distilling_discrimination_and_generalization_knowledge_for_event_detection_via_deltarepresentation_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
conceptual_grounding_constraints_for_truly_robust_biomedical_name_representations,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.208,fivez-etal-2021-conceptual,"Pieter Fivez, Simon Suster, and Walter Daelemans. 2021. Conceptual Grounding Constraints for Truly Robust Biomedical Name Representations. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2440–2450, Online. Association for Computational Linguistics."
a_mechanistic_interpretation_of_arithmetic_reasoning_in_language_models_using_causal_mediation_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_sequence_alignment_model_based_on_the_averaged_perceptron,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_paraphasia_classification_in_aphasic_speech,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
connecting_embeddings_for_knowledge_graph_entity_typing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generative_semantic_hashing_enhanced_via_boltzmann_machines,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
joint_entity_and_relation_extraction_with_span_pruning_and_hypergraph_neural_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
largescale_opinion_relation_extraction_with_distantly_supervised_neural_network,April,2017.0,EACL,https://aclanthology.org/E17-1097,sun-etal-2017-large,"Changzhi Sun, Yuanbin Wu, Man Lan, Shiliang Sun, and Qi Zhang. 2017. Large-scale Opinion Relation Extraction with Distantly Supervised Neural Network. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 1033–1043, Valencia, Spain. Association for Computational Linguistics."
evaluating_neural_network_explanation_methods_using_hybrid_documents_and_morphosyntactic_agreement,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fast_financial_news_and_tweet_based_time_aware_network_for_stock_trading,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.185,sawhney-etal-2021-fast,"Ramit Sawhney, Arnav Wadhwa, Shivam Agarwal, and Rajiv Ratn Shah. 2021. FAST: Financial News and Tweet Based Time Aware Network for Stock Trading. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2164–2175, Online. Association for Computational Linguistics."
hadoopperceptron_a_toolkit_for_distributed_perceptron_training_and_prediction_with_mapreduce,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fermat_an_alternative_to_accuracy_for_numerical_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
what_ingredients_make_for_an_effective_crowdsourcing_protocol_for_difficult_nlu_data_collection_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
transformers_in_the_loop_polarity_in_neural_models_of_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gtm_a_generative_triplewise_model_for_conversational_question_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
clapspeech_learning_prosody_from_text_context_with_contrastive_languageaudio_pretraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
identifying_and_understanding_user_reactions_to_deceptive_and_trusted_social_news_sources,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
leveraging_visual_knowledge_in_language_tasks_an_empirical_study_on_intermediate_pretraining_for_crossmodal_knowledge_transfer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
transkimmer_transformer_learns_to_layerwise_skim,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
event_linking_with_sentential_features_from_convolutional_neural_networks,August,2016.0,CoNLL,https://aclanthology.org/K16-1024,krause-etal-2016-event,"Sebastian Krause, Feiyu Xu, Hans Uszkoreit, and Dirk Weissenborn. 2016. Event Linking with Sentential Features from Convolutional Neural Networks. In Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, pages 239–249, Berlin, Germany. Association for Computational Linguistics."
identifying_statements_crucial_for_awareness_of_interpretive_nonsense_to_prevent_communication_breakdowns,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.773,maekawa-imai-2023-identifying,"Tomoyuki Maekawa and Michita Imai. 2023. Identifying Statements Crucial for Awareness of Interpretive Nonsense to Prevent Communication Breakdowns. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12550–12566, Singapore. Association for Computational Linguistics."
ussa_a_unified_table_filling_scheme_for_structured_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_better_entity_linking_with_multiview_enhanced_distillation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
covid19_vaccine_misinformation_in_middle_income_countries,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cipherdaug_ciphertext_based_data_augmentation_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
drlk_dynamic_hierarchical_reasoning_with_language_model_and_knowledge_graph_for_question_answering,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.342,zhang-etal-2022-drlk,"Miao Zhang, Rufeng Dai, Ming Dong, and Tingting He. 2022. DRLK: Dynamic Hierarchical Reasoning with Language Model and Knowledge Graph for Question Answering. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5123–5133, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
mixing_and_blending_syntactic_and_semantic_dependencies,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semantic_role_labeling_by_tagging_syntactic_chunks,May 6 - May 7,2004.0,CoNLL,https://aclanthology.org/W04-2416,hacioglu-etal-2004-semantic,"Kadri Hacioglu, Sameer Pradhan, Wayne Ward, James H. Martin, and Daniel Jurafsky. 2004. Semantic Role Labeling by Tagging Syntactic Chunks. In Proceedings of the Eighth Conference on Computational Natural Language Learning (CoNLL-2004) at HLT-NAACL 2004, pages 110–113, Boston, Massachusetts, USA. Association for Computational Linguistics."
unsupervised_information_extraction_regularizing_discriminative_approaches_with_relation_distribution_losses,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
confede_contrastive_feature_decomposition_for_multimodal_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
twistlist_resources_and_baselines_for_tongue_twister_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multistep_reasoning_via_recurrent_dual_attention_for_visual_dialog,July,2019.0,ACL,https://aclanthology.org/P19-1648,gan-etal-2019-multi,"Zhe Gan, Yu Cheng, Ahmed Kholy, Linjie Li, Jingjing Liu, and Jianfeng Gao. 2019. Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 6463–6474, Florence, Italy. Association for Computational Linguistics."
one_sense_per_tweeter__and_other_lexical_semantic_tales_of_twitter,April,2014.0,EACL,https://aclanthology.org/E14-4042,gella-etal-2014-one,"Spandana Gella, Paul Cook, and Timothy Baldwin. 2014. One Sense per Tweeter ... and Other Lexical Semantic Tales of Twitter. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, pages 215–220, Gothenburg, Sweden. Association for Computational Linguistics."
a_new_dataset_and_empirical_study_for_sentence_simplification_in_chinese,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
recession_segmentation_simpler_online_word_segmentation_using_limited_resources,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bayesian_word_sense_induction,March,2009.0,EACL,https://aclanthology.org/E09-1013,brody-lapata-2009-bayesian,"Samuel Brody and Mirella Lapata. 2009. Bayesian Word Sense Induction. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 103–111, Athens, Greece. Association for Computational Linguistics."
a_deep_relevance_model_for_zeroshot_document_filtering,July,2018.0,ACL,https://aclanthology.org/P18-1214,li-etal-2018-deep,"Chenliang Li, Wei Zhou, Feng Ji, Yu Duan, and Haiqing Chen. 2018. A Deep Relevance Model for Zero-Shot Document Filtering. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2300–2310, Melbourne, Australia. Association for Computational Linguistics."
it_seemed_like_an_annoying_woman_on_the_perception_and_ethical_considerations_of_affective_language_in_textbased_conversational_agents,November,2021.0,CoNLL,https://aclanthology.org/2021.conll-1.4,vanderlyn-etal-2021-seemed,"Lindsey Vanderlyn, Gianna Weber, Michael Neumann, Dirk Väth, Sarina Meyer, and Ngoc Thang Vu. 2021. “It seemed like an annoying woman”: On the Perception and Ethical Considerations of Affective Language in Text-Based Conversational Agents. In Proceedings of the 25th Conference on Computational Natural Language Learning, pages 44–57, Online. Association for Computational Linguistics."
twitter_universal_dependency_parsing_for_africanamerican_and_mainstream_american_english,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
writing_by_memorizing_hierarchical_retrievalbased_medical_report_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hipool_modeling_long_documents_using_graph_neural_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
analyzing_political_parody_in_social_media,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unifee_unified_evidence_extraction_for_fact_verification,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.82,hu-etal-2023-unifee,"Nan Hu, Zirui Wu, Yuxuan Lai, Chen Zhang, and Yansong Feng. 2023. UnifEE: Unified Evidence Extraction for Fact Verification. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1150–1160, Dubrovnik, Croatia. Association for Computational Linguistics."
scaling_up_open_tagging_from_tens_to_thousands_comprehension_empowered_attribute_value_extraction_from_product_title,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
decoding_with_finitestate_transducers_on_gpus,April,2017.0,EACL,https://aclanthology.org/E17-1098,argueta-chiang-2017-decoding,"Arturo Argueta and David Chiang. 2017. Decoding with Finite-State Transducers on GPUs. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 1044–1052, Valencia, Spain. Association for Computational Linguistics."
relunet_syntaxaware_graph_unet_for_relational_triple_extraction,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.282,zhang-etal-2022-relu,"Yunqi Zhang, Yubo Chen, and Yongfeng Huang. 2022. RelU-Net: Syntax-aware Graph U-Net for Relational Triple Extraction. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4208–4217, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
convfinqa_exploring_the_chain_of_numerical_reasoning_in_conversational_finance_question_answering,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.421,chen-etal-2022-convfinqa,"Zhiyu Chen, Shiyang Li, Charese Smiley, Zhiqiang Ma, Sameena Shah, and William Yang Wang. 2022. ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6279–6292, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
semantic_parsing_with_dual_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reducing_word_omission_errors_in_neural_machine_translation_a_contrastive_learning_approach,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
assessing_the_influence_of_attractorverb_distance_on_grammatical_agreement_in_humans_and_language_models,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.998,zacharopoulos-etal-2023-assessing,"Christos Zacharopoulos, Théo Desbordes, and Mathias Sablé-Meyer. 2023. Assessing the influence of attractor-verb distance on grammatical agreement in humans and language models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16081–16090, Singapore. Association for Computational Linguistics."
bernice_a_multilingual_pretrained_encoder_for_twitter,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.415,delucia-etal-2022-bernice,"Alexandra DeLucia, Shijie Wu, Aaron Mueller, Carlos Aguirre, Philip Resnik, and Mark Dredze. 2022. Bernice: A Multilingual Pre-trained Encoder for Twitter. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6191–6205, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
preserving_privacy_through_dememorization_an_unlearning_technique_for_mitigating_memorization_risks_in_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
beyond_detection_a_defendandsummarize_strategy_for_robust_and_interpretable_rumor_analysis_on_social_media,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.707,chang-etal-2023-beyond,"Yi-Ting Chang, Yun-Zhu Song, Yi-Syuan Chen, and Hong-Han Shuai. 2023. Beyond Detection: A Defend-and-Summarize Strategy for Robust and Interpretable Rumor Analysis on Social Media. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11538–11556, Singapore. Association for Computational Linguistics."
generating_query_focused_summaries_from_queryfree_resources,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_incontext_learning_for_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploiting_global_and_local_hierarchies_for_hierarchical_text_classification,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.268,jiang-etal-2022-exploiting,"Ting Jiang, Deqing Wang, Leilei Sun, Zhongzhi Chen, Fuzhen Zhuang, and Qinghong Yang. 2022. Exploiting Global and Local Hierarchies for Hierarchical Text Classification. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4030–4039, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
enhancing_aspectlevel_sentiment_analysis_with_word_dependencies,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.326,tian-etal-2021-enhancing,"Yuanhe Tian, Guimin Chen, and Yan Song. 2021. Enhancing Aspect-level Sentiment Analysis with Word Dependencies. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3726–3739, Online. Association for Computational Linguistics."
clcl_noncompositional_expression_detection_with_contrastive_learning_and_curriculum_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multimodal_embodied_plan_prediction_augmented_with_synthetic_embodied_dialogue,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
retrieval_augmentation_for_commonsense_reasoning_a_unified_approach,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.294,yu-etal-2022-retrieval,"Wenhao Yu, Chenguang Zhu, Zhihan Zhang, Shuohang Wang, Zhuosheng Zhang, Yuwei Fang, and Meng Jiang. 2022. Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4364–4377, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
fewshot_classincremental_learning_for_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_implicit_text_generation_via_feature_matching,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
contextual_bidirectional_long_shortterm_memory_recurrent_neural_network_language_models_a_generative_approach_to_sentiment_analysis,April,2017.0,EACL,https://aclanthology.org/E17-1096,mousa-schuller-2017-contextual,"Amr Mousa and Björn Schuller. 2017. Contextual Bidirectional Long Short-Term Memory Recurrent Neural Network Language Models: A Generative Approach to Sentiment Analysis. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 1023–1032, Valencia, Spain. Association for Computational Linguistics."
understanding_me_multimodal_evaluation_for_finegrained_visual_commonsense,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.626,wang-etal-2022-understanding-multimodal,"Zhecan Wang, Haoxuan You, Yicheng He, Wenhao Li, Kai-Wei Chang, and Shih-Fu Chang. 2022. Understanding ME? Multimodal Evaluation for Fine-grained Visual Commonsense. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9212–9224, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
do_neural_network_crossmodal_mappings_really_bridge_modalities,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_dialog_policies_from_weak_demonstrations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_crosstarget_stance_detection_with_transferable_semanticemotion_knowledge,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
selfsupervised_learning_for_pairwise_data_refinement,December,2020.0,AACL,https://aclanthology.org/2020.aacl-main.45,hernandez-abrego-etal-2020-self,"Gustavo Hernandez Abrego, Bowen Liang, Wei Wang, Zarana Parekh, Yinfei Yang, and Yunhsuan Sung. 2020. Self-Supervised Learning for Pairwise Data Refinement. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, pages 435–446, Suzhou, China. Association for Computational Linguistics."
leveraging_prefix_transfer_for_multiintent_text_revision,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.105,chong-etal-2023-leveraging,"Ruining Chong, Cunliang Kong, Liu Wu, Zhenghao Liu, Ziye Jin, Liner Yang, Yange Fan, Hanghang Fan, and Erhong Yang. 2023. Leveraging Prefix Transfer for Multi-Intent Text Revision. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1219–1228, Toronto, Canada. Association for Computational Linguistics."
multimodal_combinatory_categorial_grammar,April,2003.0,EACL,https://aclanthology.org/E03-1036,baldridge-kruijff-2003-multi,"Jason Baldridge and Geert-Jan M. Kruijff. 2003. Multi-Modal Combinatory Categorial Grammar. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
textguided_image_clustering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reevaluating_automatic_metrics_for_image_captioning,April,2017.0,EACL,https://aclanthology.org/E17-1019,kilickaya-etal-2017-evaluating,"Mert Kilickaya, Aykut Erdem, Nazli Ikizler-Cinbis, and Erkut Erdem. 2017. Re-evaluating Automatic Metrics for Image Captioning. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 199–209, Valencia, Spain. Association for Computational Linguistics."
language_modelling_as_a_multitask_problem,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.176,weber-etal-2021-language,"Lucas Weber, Jaap Jumelet, Elia Bruni, and Dieuwke Hupkes. 2021. Language Modelling as a Multi-Task Problem. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2049–2060, Online. Association for Computational Linguistics."
adversarially_improving_nmt_robustness_to_asr_errors_with_confusion_sets,November,2022.0,,https://aclanthology.org/2022.aacl-short.28,wang-etal-2022-adversarially,"Shuaibo Wang, Yufeng Chen, Songming Zhang, Deyi Xiong, and Jinan Xu. 2022. Adversarially Improving NMT Robustness to ASR Errors with Confusion Sets. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 221–227, Online only. Association for Computational Linguistics."
baseline_needs_more_love_on_simple_wordembeddingbased_models_and_associated_pooling_mechanisms,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
layoutlmv2_multimodal_pretraining_for_visuallyrich_document_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
revisiting_source_context_in_nearest_neighbor_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
consistency_regularization_for_crosslingual_finetuning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semisupervised_structured_output_learning_based_on_a_hybrid_generative_and_discriminative_approach,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
legal_case_document_summarization_extractive_and_abstractive_methods_and_their_evaluation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
understanding_attention_for_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
spherere_distinguishing_lexical_relations_with_hyperspherical_relation_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
intermediatetask_transfer_learning_for_peer_review_score_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hyperlinkinduced_pretraining_for_passage_retrieval_in_opendomain_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
robust_lottery_tickets_for_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
style_is_not_a_single_variable_case_studies_for_crossstylistic_language_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
monte_carlo_inference_and_maximization_for_phrasebased_translation,June,2009.0,CoNLL,https://aclanthology.org/W09-1114,arun-etal-2009-monte,"Abhishek Arun, Chris Dyer, Barry Haddow, Phil Blunsom, Adam Lopez, and Philipp Koehn. 2009. Monte Carlo inference and maximization for phrase-based translation. In Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL-2009), pages 102–110, Boulder, Colorado. Association for Computational Linguistics."
on_the_generation_of_medical_dialogs_for_covid19,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ralle_a_framework_for_developing_and_evaluating_retrievalaugmented_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
baize_an_opensource_chat_model_with_parameterefficient_tuning_on_selfchat_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
conversational_emotioncause_pair_extraction_with_guided_mixture_of_experts,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.240,jeong-bak-2023-conversational,"DongJin Jeong and JinYeong Bak. 2023. Conversational Emotion-Cause Pair Extraction with Guided Mixture of Experts. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3288–3298, Dubrovnik, Croatia. Association for Computational Linguistics."
the_nlp_role_in_animated_conversation_for_call,March,1997.0,ANLP,https://aclanthology.org/A97-1019,schoelles-hamburger-1997-nlp,"Michael Schoelles and Henry Hamburger. 1997. The NLP Role in Animated Conversation for CALL. In Fifth Conference on Applied Natural Language Processing, pages 127–134, Washington, DC, USA. Association for Computational Linguistics."
how_good_is_your_tokenizer_on_the_monolingual_performance_of_multilingual_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
social_bias_frames_reasoning_about_social_and_power_implications_of_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
data_factors_for_better_compositional_generalization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
alignment_via_mutual_information,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
tetratagging_wordsynchronous_parsing_with_lineartime_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
padnet_an_efficient_framework_for_dynamic_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
detecting_compositionality_of_verbobject_combinations_using_selectional_preferences,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semisupervised_classification_for_extracting_protein_interaction_sentences_using_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
trlx_a_framework_for_large_scale_reinforcement_learning_from_human_feedback,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
convlab3_a_flexible_dialogue_system_toolkit_based_on_a_unified_data_format,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-demo.9,zhu-etal-2023-convlab,"Qi Zhu, Christian Geishauser, Hsien-chin Lin, Carel van Niekerk, Baolin Peng, Zheng Zhang, Shutong Feng, Michael Heck, Nurul Lubis, Dazhen Wan, Xiaochen Zhu, Jianfeng Gao, Milica Gasic, and Minlie Huang. 2023. ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 106–123, Singapore. Association for Computational Linguistics."
compositionality_and_generalization_in_emergent_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
parallel_corpus_filtering_via_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_from_failure_data_capture_in_an_australian_aboriginal_community,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
to_sing_like_a_mockingbird,April,2017.0,EACL,https://aclanthology.org/E17-2048,gatti-etal-2017-sing,"Lorenzo Gatti, Gözde Özbal, Oliviero Stock, and Carlo Strapparava. 2017. To Sing like a Mockingbird. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 298–304, Valencia, Spain. Association for Computational Linguistics."
nested_named_entity_recognition_with_spanlevel_graphs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
continual_quality_estimation_with_online_bayesian_metalearning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
introducing_semantics_into_speech_encoders,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
koala_an_index_for_quantifying_overlaps_with_pretraining_corpora,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
programming_in_natural_language_with_fuse_synthesizing_methods_from_spoken_utterances_using_deep_natural_language_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
weaklysupervised_spoken_video_grounding_via_semantic_interaction_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fully_unsupervised_graphbased_discovery_of_generalspecific_noun_relationships_from_web_corpora_frequency_counts,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
miner_improving_outofvocabulary_named_entity_recognition_from_an_information_theoretic_perspective,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
entropybased_vocabulary_substitution_for_incremental_learning_in_multilingual_neural_machine_translation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.720,huang-etal-2022-entropy,"Kaiyu Huang, Peng Li, Jin Ma, and Yang Liu. 2022. Entropy-Based Vocabulary Substitution for Incremental Learning in Multilingual Neural Machine Translation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10537–10550, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
training_data_augmentation_for_lowresource_morphological_inflection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
analyzing_the_mono_and_crosslingual_pretraining_dynamics_of_multilingual_language_models,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.234,blevins-etal-2022-analyzing,"Terra Blevins, Hila Gonen, and Luke Zettlemoyer. 2022. Analyzing the Mono- and Cross-Lingual Pretraining Dynamics of Multilingual Language Models. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3575–3590, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
evaluation_metrics_in_the_era_of_gpt4_reliably_evaluating_large_language_models_on_sequence_to_sequence_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_cheaper_and_better_diffusion_language_model_with_softmasked_noise,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
energybased_selfattentive_learning_of_abstractive_communities_for_spoken_language_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
personality_understanding_of_fictional_characters_during_book_reading,July,2023.0,ACL,https://aclanthology.org/2023.acl-long.826,yu-etal-2023-personality,"Mo Yu, Jiangnan Li, Shunyu Yao, Wenjie Pang, Xiaochen Zhou, Zhou Xiao, Fandong Meng, and Jie Zhou. 2023. Personality Understanding of Fictional Characters during Book Reading. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 14784–14802, Toronto, Canada. Association for Computational Linguistics."
contextualized_crosslingual_event_trigger_extraction_with_minimal_resources,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_knowledge_graph_completion_with_selfsupervised_adaptive_graph_alignment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gendered_mental_health_stigma_in_masked_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
slicer_sliced_finetuning_for_lowresource_crosslingual_transfer_for_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
promoting_topic_coherence_and_interdocument_consorts_in_multidocument_summarization_via_simplicial_complex_and_sheaf_graph,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bias_mitigation_in_machine_translation_quality_estimation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fckbqa_a_finetocoarse_composition_framework_for_knowledge_base_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bagging_and_boosting_a_treebank_parser,,2000.0,ANLP,https://aclanthology.org/A00-2005,henderson-brill-2000-bagging,John C. Henderson and Eric Brill. 2000. Bagging and Boosting a Treebank Parser. In 1st Meeting of the North American Chapter of the Association for Computational Linguistics.
toward_the_limitation_of_codeswitching_in_crosslingual_transfer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_computational_grammars,,2001.0,CoNLL,https://aclanthology.org/W01-0712,nerbonne-etal-2001-learning,"John Nerbonne, Anja Belz, Nicola Cancedda, Hervé Déjean, James Hammerton, Rob Koeling, Stasinos Konstantopoulos, Miles Osborne, Franck Thollard, and Erik F. Tjong Kim Sang. 2001. Learning Computational Grammars. In Proceedings of the ACL 2001 Workshop on Computational Natural Language Learning (ConLL)."
evaluation_and_improvement_of_chatbot_text_classification_data_quality_using_plausible_negative_examples,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bootstrapping_postaggers_using_unlabelled_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_explain_generating_stable_explanations_fast,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
finding_opinion_manipulation_trolls_in_news_community_forums,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
document_context_neural_machine_translation_with_memory_networks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
topicdriven_and_knowledgeaware_transformer_for_dialogue_emotion_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
infusing_hierarchical_guidance_into_prompt_tuning_a_parameterefficient_framework_for_multilevel_implicit_discourse_relation_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gentopiaai_a_collaborative_platform_for_toolaugmented_llms,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-demo.20,xu-etal-2023-gentopia,"Binfeng Xu, Xukun Liu, Hua Shen, Zeyu Han, Yuhan Li, Murong Yue, Zhiyuan Peng, Yuchen Liu, Ziyu Yao, and Dongkuan Xu. 2023. Gentopia.AI: A Collaborative Platform for Tool-Augmented LLMs. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 237–245, Singapore. Association for Computational Linguistics."
uxla_a_robust_unsupervised_data_augmentation_framework_for_zeroresource_crosslingual_nlp,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rule_by_example_harnessing_logical_rules_for_explainable_hate_speech_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generating_counter_narratives_against_online_hate_speech_data_and_strategies,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reviewbased_question_generation_with_adaptive_instance_transfer_and_augmentation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
outofdomain_framenet_semantic_role_labeling,April,2017.0,EACL,https://aclanthology.org/E17-1045,hartmann-etal-2017-domain,"Silvana Hartmann, Ilia Kuznetsov, Teresa Martin, and Iryna Gurevych. 2017. Out-of-domain FrameNet Semantic Role Labeling. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 471–482, Valencia, Spain. Association for Computational Linguistics."
variational_pretraining_for_semisupervised_text_classification,July,2019.0,ACL,https://aclanthology.org/P19-1590,gururangan-etal-2019-variational,"Suchin Gururangan, Tam Dang, Dallas Card, and Noah A. Smith. 2019. Variational Pretraining for Semi-supervised Text Classification. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 5880–5894, Florence, Italy. Association for Computational Linguistics."
procedural_reasoning_networks_for_understanding_multimodal_procedures,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
uncertaintyaware_bootstrap_learning_for_joint_extraction_on_distantlysupervised_data,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.116,li-etal-2023-uncertainty,"Yufei Li, Xiao Yu, Yanchi Liu, Haifeng Chen, and Cong Liu. 2023. Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1349–1358, Toronto, Canada. Association for Computational Linguistics."
rteafor_regularized_teacherforcing_for_abstractive_summarization,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.423,lin-cheng-2022-r,"Guan-Yu Lin and Pu-Jen Cheng. 2022. R-TeaFor: Regularized Teacher-Forcing for Abstractive Summarization. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6303–6311, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
explanation_selection_using_unlabeled_data_for_chainofthought_prompting,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_truthfulness_of_headline_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
why_cant_discourse_parsing_generalize_a_thorough_investigation_of_the_impact_of_data_diversity,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.227,liu-zeldes-2023-cant,"Yang Janet Liu and Amir Zeldes. 2023. Why Can’t Discourse Parsing Generalize? A Thorough Investigation of the Impact of Data Diversity. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3112–3130, Dubrovnik, Croatia. Association for Computational Linguistics."
you_write_like_you_eat_stylistic_variation_as_a_predictor_of_social_stratification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rematching_a_finegrained_semantic_matching_method_for_zeroshot_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
from_characters_to_words_the_turning_point_of_bpe_merges,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_stochastic_decoder_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
grit_generative_rolefiller_transformers_for_documentlevel_event_entity_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
integrating_vectorized_lexical_constraints_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
combinatorial_disambiguation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_legal_judgment_prediction_in_english,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dependency_trees_and_the_strong_generative_capacity_of_ccg,March,2009.0,EACL,https://aclanthology.org/E09-1053,koller-kuhlmann-2009-dependency,"Alexander Koller and Marco Kuhlmann. 2009. Dependency Trees and the Strong Generative Capacity of CCG. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 460–468, Athens, Greece. Association for Computational Linguistics."
aspect_sentiment_classification_towards_questionanswering_with_reinforced_bidirectional_attention_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
recurrent_neural_language_models_as_probabilistic_finitestate_automata,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
attempt_parameterefficient_multitask_tuning_via_attentional_mixtures_of_soft_prompts,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.446,asai-etal-2022-attempt,"Akari Asai, Mohammadreza Salehi, Matthew Peters, and Hannaneh Hajishirzi. 2022. ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6655–6672, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
dynamic_topk_estimation_consolidates_disagreement_between_feature_attribution_methods,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
assessing_outofdomain_language_model_performance_from_few_examples,August,2024.0,ACL,https://aclanthology.org/2024.acl-long,UNKNOWN_BIBKEY,N/A
sentimentaware_word_and_sentence_level_pretraining_for_sentiment_analysis,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.332,fan-etal-2022-sentiment,"Shuai Fan, Chen Lin, Haonan Li, Zhenghao Lin, Jinsong Su, Hang Zhang, Yeyun Gong, JIan Guo, and Nan Duan. 2022. Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4984–4994, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
gated_convolutional_bidirectional_attentionbased_model_for_offtopic_spoken_response_detection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ethicist_targeted_training_data_extraction_through_loss_smoothed_soft_prompting_and_calibrated_confidence_estimation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
natural_language_generation_recently_learned_lessons_directions_for_semantic_representationbased_approaches_and_the_case_of_brazilian_portuguese_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cmu01_at_the_sigmorphon_2019_shared_task_on_crosslinguality_and_context_in_morphology,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adversarial_learning_of_privacypreserving_text_representations_for_deidentification_of_medical_records,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_temporality_adaptation_for_document_classification_diachronic_word_embeddings_and_domain_adaptation_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
joint_embedding_of_words_and_labels_for_text_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mdace_mimic_documents_annotated_with_code_evidence,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
developments_in_affect_detection_in_edrama,August,2024.0,ACL,https://aclanthology.org/2024.acl-long,UNKNOWN_BIBKEY,N/A
encoding_information_on_adjectives_in_a_lexicalsemantic_net_for_computational_applications,,2000.0,ANLP,https://aclanthology.org/A00-2006,alonge-etal-2000-encoding,"Antonietta Alonge, Francesca Bertagna, Nicoletta Calzolari, Adriana Roventini, and Antonio Zampolli. 2000. Encoding information on adjectives in a lexical-semantic net for computational applications. In 1st Meeting of the North American Chapter of the Association for Computational Linguistics."
accelerating_text_communication_via_abbreviated_sentence_input,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_response_generation_with_metawords,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
anchorbased_bilingual_word_embeddings_for_lowresource_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_robust_selflearning_method_for_fully_unsupervised_crosslingual_mappings_of_word_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
deepmaven_deep_question_answering_on_longdistance_movietv_show_videos_with_multimedia_knowledge_extraction_and_synthesis,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.221,fung-etal-2023-deepmaven,"Yi Fung, Han Wang, Tong Wang, Ali Kebarighotbi, Mohit Bansal, Heng Ji, and Prem Natarajan. 2023. DeepMaven: Deep Question Answering on Long-Distance Movie/TV Show Videos with Multimedia Knowledge Extraction and Synthesis. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3041–3051, Dubrovnik, Croatia. Association for Computational Linguistics."
abstractive_text_summarization_based_on_deep_learning_and_semantic_content_generalization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
temporal_event_knowledge_acquisition_via_identifying_narratives,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unimo_towards_unifiedmodal_understanding_and_generation_via_crossmodal_contrastive_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
incontext_analogical_reasoning_with_pretrained_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improved_large_margin_dependency_parsing_via_local_constraints_and_laplacian_regularization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
suppai_finding_evidence_for_supplementdrug_interactions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
annotating_mentions_alone_enables_efficient_domain_adaptation_for_coreference_resolution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multiqt_multimodal_learning_for_realtime_question_tracking_in_speech,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
token_prediction_as_implicit_classification_to_identify_llmgenerated_text,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.810,chen-etal-2023-token,"Yutian Chen, Hao Kang, Vivian Zhai, Liangze Li, Rita Singh, and Bhiksha Raj. 2023. Token Prediction as Implicit Classification to Identify LLM-Generated Text. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13112–13120, Singapore. Association for Computational Linguistics."
multimodal_neural_machine_translation_using_synthetic_images_transformed_by_latent_diffusion_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_relaxed_matching_procedure_for_unsupervised_bli,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adasent_efficient_domainadapted_sentence_embeddings_for_fewshot_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
selfcheckgpt_zeroresource_blackbox_hallucination_detection_for_generative_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
whitebox_multiobjective_adversarial_attack_on_dialogue_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_the_topmost_a_topic_modeling_system_toolkit,August,2024.0,ACL,https://aclanthology.org/2024.acl-demos.4,wu-etal-2024-towards-topmost,"Xiaobao Wu, Fengjun Pan, and Anh Tuan Luu. 2024. Towards the TopMost: A Topic Modeling System Toolkit. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 31–41, Bangkok, Thailand. Association for Computational Linguistics."
predicting_the_focus_of_negation_model_and_error_analysis,July,2020.0,ACL,https://aclanthology.org/2020.acl-main.743,hossain-etal-2020-predicting,"Md Mosharaf Hossain, Kathleen Hamilton, Alexis Palmer, and Eduardo Blanco. 2020. Predicting the Focus of Negation: Model and Error Analysis. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8389–8401, Online. Association for Computational Linguistics."
domainspecific_image_captioning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
latent_structure_perceptron_with_feature_induction_for_unrestricted_coreference_resolution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
domain_specific_subnetwork_for_multidomain_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
online_learning_of_relaxed_ccg_grammars_for_parsing_to_logical_form,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
probing_power_by_prompting_harnessing_pretrained_language_models_for_power_connotation_framing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
online_learning_of_taskspecific_word_representations_with_a_joint_biconvex_passiveaggressive_algorithm,April,2017.0,EACL,https://aclanthology.org/E17-1073,denis-ralaivola-2017-online,"Pascal Denis and Liva Ralaivola. 2017. Online Learning of Task-specific Word Representations with a Joint Biconvex Passive-Aggressive Algorithm. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 775–784, Valencia, Spain. Association for Computational Linguistics."
comparing_test_sets_with_item_response_theory,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
augmenting_translation_models_with_simulated_acoustic_confusions_for_improved_spoken_language_translation,April,2014.0,EACL,https://aclanthology.org/E14-1065,tsvetkov-etal-2014-augmenting,"Yulia Tsvetkov, Florian Metze, and Chris Dyer. 2014. Augmenting Translation Models with Simulated Acoustic Confusions for Improved Spoken Language Translation. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 616–625, Gothenburg, Sweden. Association for Computational Linguistics."
systematic_generalization_on_gscan_with_language_conditioned_embedding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
examining_the_stateoftheart_in_news_timeline_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_gradually_soft_multitask_and_dataaugmented_approach_to_medical_question_understanding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
open_latest_revision_pdf_of_representation_learning_with_conditional_information_flow_maximization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
invariant_language_modeling,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.387,peyrard-etal-2022-invariant,"Maxime Peyrard, Sarvjeet Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Saurabh Tiwary, and Robert West. 2022. Invariant Language Modeling. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5728–5743, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
large_language_models_are_biased_to_overestimate_profoundness,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.599,herrera-berg-etal-2023-large,"Eugenio Herrera-Berg, Tomás Browne, Pablo León-Villagrá, Marc-Lluís Vives, and Cristian Calderon. 2023. Large Language Models are biased to overestimate profoundness. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 9653–9661, Singapore. Association for Computational Linguistics."
humanoid_agents_platform_for_simulating_humanlike_generative_agents,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
citesum_citation_textguided_scientific_extreme_summarization_and_domain_adaptation_with_limited_supervision,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.750,mao-etal-2022-citesum,"Yuning Mao, Ming Zhong, and Jiawei Han. 2022. CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10922–10935, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
towards_simple_and_efficient_taskadaptive_pretraining_for_text_classification,November,2022.0,,https://aclanthology.org/2022.aacl-short.39,ladkat-etal-2022-towards,"Arnav Ladkat, Aamir Miyajiwala, Samiksha Jagadale, Rekha A. Kulkarni, and Raviraj Joshi. 2022. Towards Simple and Efficient Task-Adaptive Pre-training for Text Classification. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 320–325, Online only. Association for Computational Linguistics."
convlab2_an_opensource_toolkit_for_building_evaluating_and_diagnosing_dialogue_systems,July,2020.0,ACL,https://aclanthology.org/2020.acl-demos.19,zhu-etal-2020-convlab,"Qi Zhu, Zheng Zhang, Yan Fang, Xiang Li, Ryuichi Takanobu, Jinchao Li, Baolin Peng, Jianfeng Gao, Xiaoyan Zhu, and Minlie Huang. 2020. ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 142–149, Online. Association for Computational Linguistics."
naamapadam_a_largescale_named_entity_annotated_data_for_indic_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ontoed_lowresource_event_detection_with_ontology_embedding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lineartime_constituency_parsing_with_rnns_and_dynamic_programming,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
solving_math_word_problems_via_cooperative_reasoning_induced_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mect_multimetadata_embedding_based_crosstransformer_for_chinese_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_reason_deductively_math_word_problem_solving_as_complex_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
changes_in_european_solidarity_before_and_during_covid19_evidence_from_a_large_crowd_and_expertannotated_twitter_dataset,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sparse_and_constrained_attention_for_neural_machine_translation,July,2018.0,ACL,https://aclanthology.org/P18-2059,malaviya-etal-2018-sparse,"Chaitanya Malaviya, Pedro Ferreira, and André F. T. Martins. 2018. Sparse and Constrained Attention for Neural Machine Translation. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 370–376, Melbourne, Australia. Association for Computational Linguistics."
a_classificationguided_approach_for_adversarial_attacks_against_neural_machine_translation,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.70,sadrizadeh-etal-2024-classification,"Sahar Sadrizadeh, Ljiljana Dolamic, and Pascal Frossard. 2024. A Classification-Guided Approach for Adversarial Attacks against Neural Machine Translation. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1160–1177, St. Julian’s, Malta. Association for Computational Linguistics."
paraphrases_as_foreign_languages_in_multilingual_neural_machine_translation,July,2019.0,ACL,https://aclanthology.org/P19-2015,zhou-etal-2019-paraphrases,"Zhong Zhou, Matthias Sperber, and Alexander Waibel. 2019. Paraphrases as Foreign Languages in Multilingual Neural Machine Translation. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 113–122, Florence, Italy. Association for Computational Linguistics."
pipeline_for_modeling_causal_beliefs_from_natural_language,July,2023.0,ACL,https://aclanthology.org/2023.acl-demo.41,priniski-etal-2023-pipeline,"John Priniski, Ishaan Verma, and Fred Morstatter. 2023. Pipeline for modeling causal beliefs from natural language. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 436–443, Toronto, Canada. Association for Computational Linguistics."
learning_and_evaluating_emotion_lexicons_for_91_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sentiment_summarization_evaluating_and_learning_user_preferences,March,2009.0,EACL,https://aclanthology.org/E09-1059,lerman-etal-2009-sentiment,"Kevin Lerman, Sasha Blair-Goldensohn, and Ryan McDonald. 2009. Sentiment Summarization: Evaluating and Learning User Preferences. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 514–522, Athens, Greece. Association for Computational Linguistics."
a_multiperspective_architecture_for_semantic_code_search,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multitimeline_summarization_mtls_improving_timeline_summarization_by_generating_multiple_summaries,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
precise_zeroshot_dense_retrieval_without_relevance_labels,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
weighted_krippendorffs_alpha_is_a_more_reliable_metrics_for_multicoders_ordinal_annotations_experimental_studies_on_emotion_opinion_and_coreference_annotation,April,2014.0,EACL,https://aclanthology.org/E14-1058,antoine-etal-2014-weighted,"Jean-Yves Antoine, Jeanne Villaneau, and Anaïs Lefeuvre. 2014. Weighted Krippendorff’s alpha is a more reliable metrics for multi-coders ordinal annotations: experimental studies on emotion, opinion and coreference annotation. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 550–559, Gothenburg, Sweden. Association for Computational Linguistics."
improving_aspect_sentiment_quad_prediction_via_templateorder_data_augmentation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
structural_transitive_and_latent_models_for_biographic_fact_extraction,March,2009.0,EACL,https://aclanthology.org/E09-1035,garera-yarowsky-2009-structural,"Nikesh Garera and David Yarowsky. 2009. Structural, Transitive and Latent Models for Biographic Fact Extraction. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 300–308, Athens, Greece. Association for Computational Linguistics."
stolen_probability_a_structural_weakness_of_neural_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_english_to_turkish_machine_translation_system_using_structural_mapping,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
combining_knowledge_hunting_and_neural_language_models_to_solve_the_winograd_schema_challenge,July,2019.0,ACL,https://aclanthology.org/P19-1614,prakash-etal-2019-combining,"Ashok Prakash, Arpit Sharma, Arindam Mitra, and Chitta Baral. 2019. Combining Knowledge Hunting and Neural Language Models to Solve the Winograd Schema Challenge. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 6110–6119, Florence, Italy. Association for Computational Linguistics."
phee_a_dataset_for_pharmacovigilance_event_extraction_from_text,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.376,sun-etal-2022-phee,"Zhaoyue Sun, Jiazheng Li, Gabriele Pergola, Byron Wallace, Bino John, Nigel Greene, Joseph Kim, and Yulan He. 2022. PHEE: A Dataset for Pharmacovigilance Event Extraction from Text. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5571–5587, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
analyzing_biases_to_spurious_correlations_in_text_classification_tasks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
distantly_supervised_named_entity_recognition_via_confidencebased_multiclass_positive_and_unlabeled_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
using_idiolects_and_sociolects_to_improve_word_prediction,April,2014.0,EACL,https://aclanthology.org/E14-1034,stoop-van-den-bosch-2014-using,"Wessel Stoop and Antal van den Bosch. 2014. Using idiolects and sociolects to improve word prediction. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 318–327, Gothenburg, Sweden. Association for Computational Linguistics."
a_hypothesisdriven_framework_for_the_analysis_of_selfrationalising_models,March,2024.0,EACL,https://aclanthology.org/2024.eacl-srw.11,braun-kunz-2024-hypothesis,"Marc Braun and Jenny Kunz. 2024. A Hypothesis-Driven Framework for the Analysis of Self-Rationalising Models. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 148–161, St. Julian’s, Malta. Association for Computational Linguistics."
hyperrank_hyperbolic_ranking_model_for_unsupervised_keyphrase_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
investigating_the_role_and_impact_of_disfluency_on_summarization,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-industry.52,nathan-etal-2023-investigating,"Varun Nathan, Ayush Kumar, and Jithendra Vepa. 2023. Investigating the Role and Impact of Disfluency on Summarization. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track, pages 541–551, Singapore. Association for Computational Linguistics."
explorations_in_automatic_book_summarization,June,2007.0,,https://aclanthology.org/D07-1040,mihalcea-ceylan-2007-explorations,"Rada Mihalcea and Hakan Ceylan. 2007. Explorations in Automatic Book Summarization. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 380–389, Prague, Czech Republic. Association for Computational Linguistics."
joint_geometrical_and_statistical_domain_adaptation_for_crossdomain_code_vulnerability_detection,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.788,du-etal-2023-joint,"Qianjin Du, Shiji Zhou, Xiaohui Kuang, Gang Zhao, and Jidong Zhai. 2023. Joint Geometrical and Statistical Domain Adaptation for Cross-domain Code Vulnerability Detection. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12791–12800, Singapore. Association for Computational Linguistics."
summaryoriented_vision_modeling_for_multimodal_abstractive_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_systematic_investigation_of_kbtext_embedding_alignment_at_scale,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
changing_the_mind_of_transformers_for_topicallycontrollable_language_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
singlemultisource_crosslingual_ner_via_teacherstudent_learning_on_unlabeled_data_in_target_language,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
listener_model_for_the_photobook_referential_game_with_clipscores_as_implicit_reference_chain,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
jointprop_joint_semisupervised_learning_for_entity_and_relation_extraction_with_heterogeneous_graphbased_propagation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bert_rediscovers_the_classical_nlp_pipeline,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reasoning_with_sarcasm_by_reading_inbetween,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
slang_detection_and_identification,November,2019.0,CoNLL,https://aclanthology.org/K19-1082,pei-etal-2019-slang,"Zhengqi Pei, Zhewei Sun, and Yang Xu. 2019. Slang Detection and Identification. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 881–889, Hong Kong, China. Association for Computational Linguistics."
intersentence_relation_extraction_with_documentlevel_graph_convolutional_neural_network,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
generalized_hebbian_algorithm_for_incremental_singular_value_decomposition_in_natural_language_processing,April,2006.0,EACL,https://aclanthology.org/E06-1013,gorrell-2006-generalized,"Genevieve Gorrell. 2006. Generalized Hebbian Algorithm for Incremental Singular Value Decomposition in Natural Language Processing. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 97–104, Trento, Italy. Association for Computational Linguistics."
retrievalfree_knowledge_injection_through_multidocument_traversal_for_dialogue_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
costeff_collaborative_optimization_of_spatial_and_temporal_efficiency_with_slenderized_multiexit_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
sparse_universal_transformer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modeling_semantic_compositionality_with_sememe_knowledge,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_representation_mapping_for_relation_detection_in_knowledge_base_question_answering,July,2019.0,ACL,https://aclanthology.org/P19-1616,wu-etal-2019-learning-representation,"Peng Wu, Shujian Huang, Rongxiang Weng, Zaixiang Zheng, Jianbing Zhang, Xiaohui Yan, and Jiajun Chen. 2019. Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 6130–6139, Florence, Italy. Association for Computational Linguistics."
3d_rotation_and_translation_for_hyperbolic_knowledge_graph_embedding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
python_code_generation_by_asking_clarification_questions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
inducing_document_structure_for_aspectbased_summarization,July,2019.0,ACL,https://aclanthology.org/P19-1630,frermann-klementiev-2019-inducing,"Lea Frermann and Alexandre Klementiev. 2019. Inducing Document Structure for Aspect-based Summarization. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 6263–6273, Florence, Italy. Association for Computational Linguistics."
automatic_gloss_dictionary_for_sign_language_learners,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
kuileixi_a_chinese_openended_text_adventure_game,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
choosing_transfer_languages_for_crosslingual_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
show_describe_and_conclude_on_exploiting_the_structure_information_of_chest_xray_reports,,1998.0,COLING,https://aclanthology.org/C98-1035,chelba-jelinek-1998-exploiting,Ciprian Chelba and Frederick Jelinek. 1998. Exploiting Syntactic Structure for Language Modeling. In COLING 1998 Volume 1: The 17th International Conference on Computational Linguistics.
distinct_label_representations_for_fewshot_text_classification,August,2021.0,,https://aclanthology.org/2021.acl-short.105,ohashi-etal-2021-distinct,"Sora Ohashi, Junya Takayama, Tomoyuki Kajiwara, and Yuki Arase. 2021. Distinct Label Representations for Few-Shot Text Classification. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 831–836, Online. Association for Computational Linguistics."
improving_neural_conversational_models_with_entropybased_data_filtering,July,2019.0,ACL,https://aclanthology.org/P19-1567,csaky-etal-2019-improving,"Richárd Csáky, Patrik Purgai, and Gábor Recski. 2019. Improving Neural Conversational Models with Entropy-Based Data Filtering. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 5650–5669, Florence, Italy. Association for Computational Linguistics."
a_novel_neural_network_model_for_joint_pos_tagging_and_graphbased_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_effect_of_automatic_tokenization_vocalization_stemming_and_pos_tagging_on_arabic_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
modalitytransferable_emotion_embeddings_for_lowresource_multimodal_emotion_recognition,December,2020.0,AACL,https://aclanthology.org/2020.aacl-main.30,dai-etal-2020-modality,"Wenliang Dai, Zihan Liu, Tiezheng Yu, and Pascale Fung. 2020. Modality-Transferable Emotion Embeddings for Low-Resource Multimodal Emotion Recognition. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, pages 269–280, Suzhou, China. Association for Computational Linguistics."
epic_multiperspective_annotation_of_a_corpus_of_irony,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_robustness_of_texttosql_models_against_synonym_substitution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
investigating_learning_dynamics_of_bert_finetuning,December,2020.0,AACL,https://aclanthology.org/2020.aacl-main.11,hao-etal-2020-investigating,"Yaru Hao, Li Dong, Furu Wei, and Ke Xu. 2020. Investigating Learning Dynamics of BERT Fine-Tuning. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, pages 87–92, Suzhou, China. Association for Computational Linguistics."
ties_matter_metaevaluating_modern_metrics_with_pairwise_accuracy_and_tie_calibration,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
not_all_quantifiers_are_equal_probing_transformerbased_language_models_understanding_of_generalised_quantifiers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
understanding_jargon_combining_extraction_and_generation_for_definition_modeling,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.266,huang-etal-2022-understanding,"Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang, Jinjun Xiong, and Wen-mei Hwu. 2022. Understanding Jargon: Combining Extraction and Generation for Definition Modeling. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3994–4004, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
retrievalgeneration_alignment_for_endtoend_taskoriented_dialogue_system,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
iteratively_prompt_pretrained_language_models_for_chain_of_thought,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crosslinguistic_syntactic_difference_in_multilingual_bert_how_good_is_it_and_how_does_it_affect_transfer,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.552,xu-etal-2022-cross,"Ningyu Xu, Tao Gui, Ruotian Ma, Qi Zhang, Jingting Ye, Menghan Zhang, and Xuanjing Huang. 2022. Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer?. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8073–8092, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
sanskritshala_a_neural_sanskrit_nlp_toolkit_with_webbased_interface_for_pedagogical_and_annotation_purposes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
camel_case_marker_extraction_without_labels,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_trainingfree_and_referencefree_summarization_evaluation_metric_via_centralityweighted_relevance_and_selfreferenced_redundancy,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
optimization_in_coreference_resolution_is_not_needed_a_nearlyoptimal_algorithm_with_intensional_constraints,March,2009.0,EACL,https://aclanthology.org/E09-1051,klenner-ailloud-2009-optimization,"Manfred Klenner and Étienne Ailloud. 2009. Optimization in Coreference Resolution is not Needed: A Nearly-Optimal Algorithm with Intensional Constraints. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 442–450, Athens, Greece. Association for Computational Linguistics."
yato_yet_another_deep_learning_based_text_analysis_open_toolkit,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-demo.11,wang-etal-2023-yato,"Zeqiang Wang, Yile Wang, Jiageng Wu, Zhiyang Teng, and Jie Yang. 2023. YATO: Yet Another deep learning based Text analysis Open toolkit. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 131–139, Singapore. Association for Computational Linguistics."
adversarial_attention_modeling_for_multidimensional_emotion_regression,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
autorc_improving_bert_based_relation_classification_models_via_architecture_search,August,2021.0,,https://aclanthology.org/2021.acl-srw.4,zhu-2021-autorc,"Wei Zhu. 2021. AutoRC: Improving BERT Based Relation Classification Models via Architecture Search. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop, pages 33–43, Online. Association for Computational Linguistics."
a_topdown_neural_architecture_towards_textlevel_parsing_of_discourse_rhetorical_structure,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multirelational_question_answering_from_narratives_machine_reading_and_reasoning_in_simulated_worlds,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
finitestate_reduplication_in_onelevel_prosodic_morphology,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_synthetic_data_generation_framework_for_grounded_dialogues,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hypoformer_hybrid_decomposition_transformer_for_edgefriendly_neural_machine_translation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.475,li-etal-2022-hypoformer,"Sunzhu Li, Peng Zhang, Guobing Gan, Xiuqing Lv, Benyou Wang, Junqiu Wei, and Xin Jiang. 2022. Hypoformer: Hybrid Decomposition Transformer for Edge-friendly Neural Machine Translation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7056–7068, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
fantastic_expressions_and_where_to_find_them_chinese_simile_generation_with_multiple_constraints,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crossutterance_conditioned_vae_for_nonautoregressive_texttospeech,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multimodel_and_crosslingual_dependency_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploiting_document_structures_and_cluster_consistencies_for_event_coreference_resolution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_best_of_both_worlds_combining_human_and_machine_translations_for_multilingual_semantic_parsing_with_active_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
miss_tools_and_mr_fruit_emergent_communication_in_agents_learning_about_object_affordances,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
data_contamination_from_memorization_to_exploitation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluating_entity_disambiguation_and_the_role_of_popularity_in_retrievalbased_nlp,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
inset_sentence_infilling_with_intersentential_transformer,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crosslingual_syntactic_transfer_through_unsupervised_adaptation_of_invertible_projections,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
selfsupervised_sentence_polishing_by_adding_engaging_modifiers,July,2023.0,ACL,https://aclanthology.org/2023.acl-demo.48,zhang-etal-2023-self-supervised,"Zhexin Zhang, Jian Guan, Xin Cui, Yu Ran, Bo Liu, and Minlie Huang. 2023. Self-Supervised Sentence Polishing by Adding Engaging Modifiers. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 499–507, Toronto, Canada. Association for Computational Linguistics."
efficient_transformer_knowledge_distillation_a_performance_review,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
subword_regularization_improving_neural_network_translation_models_with_multiple_subword_candidates,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
two_methods_for_domain_adaptation_of_bilingual_tasks_delightfully_simple_and_broadly_applicable,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluating_automatic_dialogue_strategy_adaptation_for_a_spoken_dialogue_system,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
looking_for_a_needle_in_a_haystack_a_comprehensive_study_of_hallucinations_in_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rather_a_nurse_than_a_physician__contrastive_explanations_under_investigation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
apollo_a_simple_approach_for_adaptive_pretraining_of_language_models_for_logical_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_checkpoint_on_multilingual_misogyny_identification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automated_pyramid_summarization_evaluation,November,2019.0,CoNLL,https://aclanthology.org/K19-1038,gao-etal-2019-automated,"Yanjun Gao, Chen Sun, and Rebecca J. Passonneau. 2019. Automated Pyramid Summarization Evaluation. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 404–418, Hong Kong, China. Association for Computational Linguistics."
evidenceaware_inferential_text_generation_with_vector_quantised_variational_autoencoder,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
statistical_dependency_parsing_for_turkish,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
making_language_models_better_reasoners_with_stepaware_verifier,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ubleu_uncertaintyaware_automatic_evaluation_method_for_opendomain_dialogue_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
polyglot_distributed_word_representations_for_multilingual_nlp,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
maria_a_visual_experience_powered_conversational_agent,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gold_standard_bangla_ocr_dataset_an_indepth_look_at_data_preprocessing_and_annotation_processes,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hedgehunter_a_system_for_hedge_detection_and_uncertainty_classification,July,2010.0,CoNLL,https://aclanthology.org/W10-3017,clausen-2010-hedgehunter,"David Clausen. 2010. HedgeHunter: A System for Hedge Detection and Uncertainty Classification. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task, pages 120–125, Uppsala, Sweden. Association for Computational Linguistics."
is_this_a_child_a_girl_or_a_car_exploring_the_contribution_of_distributional_similarity_to_learning_referential_word_meanings,April,2017.0,EACL,https://aclanthology.org/E17-2014,zarriess-schlangen-2017-child,"Sina Zarrieß and David Schlangen. 2017. Is this a Child, a Girl or a Car? Exploring the Contribution of Distributional Similarity to Learning Referential Word Meanings. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 86–91, Valencia, Spain. Association for Computational Linguistics."
finegrained_event_trigger_detection,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.237,le-nguyen-2021-fine,"Duong Le and Thien Huu Nguyen. 2021. Fine-Grained Event Trigger Detection. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2745–2752, Online. Association for Computational Linguistics."
analyzing_learner_understanding_of_novel_l2_vocabulary,August,2016.0,CoNLL,https://aclanthology.org/K16-1013,knowles-etal-2016-analyzing,"Rebecca Knowles, Adithya Renduchintala, Philipp Koehn, and Jason Eisner. 2016. Analyzing Learner Understanding of Novel L2 Vocabulary. In Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, pages 126–135, Berlin, Germany. Association for Computational Linguistics."
a_templatebased_method_for_constrained_neural_machine_translation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.240,wang-etal-2022-template,"Shuo Wang, Peng Li, Zhixing Tan, Zhaopeng Tu, Maosong Sun, and Yang Liu. 2022. A Template-based Method for Constrained Neural Machine Translation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 3665–3679, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
prophetnetx_largescale_pretraining_models_for_english_chinese_multilingual_dialog_and_code_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
toward_statistical_machine_translation_without_parallel_corpora,April,2012.0,EACL,https://aclanthology.org/E12-1014,klementiev-etal-2012-toward,"Alexandre Klementiev, Ann Irvine, Chris Callison-Burch, and David Yarowsky. 2012. Toward Statistical Machine Translation without Parallel Corpora. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 130–140, Avignon, France. Association for Computational Linguistics."
improvements_in_analogical_learning_application_to_translating_multiterms_of_the_medical_domain,March,2009.0,EACL,https://aclanthology.org/E09-1056,langlais-etal-2009-improvements,"Philippe Langlais, François Yvon, and Pierre Zweigenbaum. 2009. Improvements in Analogical Learning: Application to Translating Multi-Terms of the Medical Domain. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 487–495, Athens, Greece. Association for Computational Linguistics."
phoneing_it_in_towards_flexible_multimodal_language_model_training_by_phonetic_representations_of_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_neural_entity_disambiguation_with_graph_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
using_uneven_margins_svm_and_perceptron_for_information_extraction,June,2005.0,CoNLL,https://aclanthology.org/W05-0610,li-etal-2005-using,"Yaoyong Li, Kalina Bontcheva, and Hamish Cunningham. 2005. Using Uneven Margins SVM and Perceptron for Information Extraction. In Proceedings of the Ninth Conference on Computational Natural Language Learning (CoNLL-2005), pages 72–79, Ann Arbor, Michigan. Association for Computational Linguistics."
intentional_context_in_situated_natural_language_learning,June,2005.0,CoNLL,https://aclanthology.org/W05-0614,fleischman-roy-2005-intentional,"Michael Fleischman and Deb Roy. 2005. Intentional Context in Situated Natural Language Learning. In Proceedings of the Ninth Conference on Computational Natural Language Learning (CoNLL-2005), pages 104–111, Ann Arbor, Michigan. Association for Computational Linguistics."
corefqa_coreference_resolution_as_querybased_span_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_zeroshot_translation_by_disentangling_positional_information,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dissent_learning_sentence_representations_from_explicit_discourse_relations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_extractive_opinion_summarization_using_sparse_coding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
adversarial_learning_for_discourse_rhetorical_structure_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
towards_a_better_understanding_of_label_smoothing_in_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_probabilistic_framework_for_discovering_new_intents,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bytelevel_grammatical_error_correction_using_synthetic_and_curated_corpora,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
from_simultaneous_to_streaming_machine_translation_by_leveraging_streaming_history,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
analogical_reasoning_on_chinese_morphological_and_semantic_relations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
parallel_sentence_mining_by_constrained_decoding,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
quickgraph_a_rapid_annotation_tool_for_knowledge_graph_extraction_from_technical_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_language_of_place_semantic_value_from_geospatial_context,April,2017.0,EACL,https://aclanthology.org/E17-2016,cocos-callison-burch-2017-language,"Anne Cocos and Chris Callison-Burch. 2017. The Language of Place: Semantic Value from Geospatial Context. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 99–104, Valencia, Spain. Association for Computational Linguistics."
characterizing_departures_from_linearity_in_word_translation,July,2018.0,ACL,https://aclanthology.org/P18-2036,nakashole-flauger-2018-characterizing,"Ndapa Nakashole and Raphael Flauger. 2018. Characterizing Departures from Linearity in Word Translation. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 221–227, Melbourne, Australia. Association for Computational Linguistics."
translate_to_disambiguate_zeroshot_multilingual_word_sense_disambiguation_with_pretrained_language_models,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.94,kang-etal-2024-translate,"Haoqiang Kang, Terra Blevins, and Luke Zettlemoyer. 2024. Translate to Disambiguate: Zero-shot Multilingual Word Sense Disambiguation with Pretrained Language Models. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1562–1575, St. Julian’s, Malta. Association for Computational Linguistics."
zerotop_zeroshot_taskoriented_semantic_parsing_using_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hetermpc_a_heterogeneous_graph_neural_network_for_response_generation_in_multiparty_conversations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
experiments_on_morphological_reinflection_conll2017_shared_task,August,2017.0,CoNLL,https://aclanthology.org/K17-2007,sudhakar-singh-2017-experiments,"Akhilesh Sudhakar and Anil Kumar Singh. 2017. Experiments on Morphological Reinflection: CoNLL-2017 Shared Task. In Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection, pages 71–78, Vancouver. Association for Computational Linguistics."
how_does_the_pretraining_objective_affect_what_large_language_models_learn_about_linguistic_properties,August,2024.0,ACL,https://aclanthology.org/2024.acl-long.343,isonuma-titov-2024-unlearning,"Masaru Isonuma and Ivan Titov. 2024. Unlearning Traces the Influential Training Data of Language Models. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 6312–6325, Bangkok, Thailand. Association for Computational Linguistics."
conceptual_structure_coheres_in_human_cognition_but_not_in_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
the_opusmt_dashboard__a_toolkit_for_a_systematic_evaluation_of_open_machine_translation_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
peking_at_mrp_2019_factorization_and_compositionbased_parsing_for_elementary_dependency_structures,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
explicit_semantic_decomposition_for_definition_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_helping_hand_transfer_learning_for_deep_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fpc_finetuning_with_prompt_curriculum_for_relation_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
to_build_our_future_we_must_know_our_past_contextualizing_paradigm_shifts_in_natural_language_processing,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.822,gururaja-etal-2023-build,"Sireesh Gururaja, Amanda Bertsch, Clara Na, David Widder, and Emma Strubell. 2023. To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13310–13325, Singapore. Association for Computational Linguistics."
toxicity_detection_does_context_really_matter,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
vision_meets_definitions_unsupervised_visual_word_sense_disambiguation_incorporating_gloss_information,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
does_recommendrevise_produce_reliable_annotations_an_analysis_on_missing_instances_in_docred,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
posconstrained_parallel_decoding_for_nonautoregressive_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
conll_2018_shared_task_multilingual_parsing_from_raw_text_to_universal_dependencies,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
investigating_label_suggestions_for_opinion_mining_in_german_covid19_social_media,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_societal_sentiment_analysis_predicting_the_values_and_ethics_of_individuals_by_analysing_social_media_content,April,2017.0,EACL,https://aclanthology.org/E17-1069,maheshwari-etal-2017-societal,"Tushar Maheshwari, Aishwarya N. Reganti, Samiksha Gupta, Anupam Jamatia, Upendra Kumar, Björn Gambäck, and Amitava Das. 2017. A Societal Sentiment Analysis: Predicting the Values and Ethics of Individuals by Analysing Social Media Content. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 731–741, Valencia, Spain. Association for Computational Linguistics."
generating_fact_checking_explanations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
interpreting_predictive_probabilities_model_confidence_or_human_label_variation,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.24,baan-etal-2024-interpreting,"Joris Baan, Raquel Fernández, Barbara Plank, and Wilker Aziz. 2024. Interpreting Predictive Probabilities: Model Confidence or Human Label Variation?. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 268–277, St. Julian’s, Malta. Association for Computational Linguistics."
neural_generation_of_dialogue_response_timings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multitask_semantic_dependency_parsing_with_policy_gradient_for_learning_easyfirst_strategies,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
we_understand_elliptical_sentences_and_language_models_should_too_a_new_dataset_for_studying_ellipsis_and_its_interaction_with_thematic_fit,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
taxinli_taking_a_ride_up_the_nlu_hill,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
compoundpiece_evaluating_and_improving_decompounding_performance_of_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
understanding_factual_errors_in_summarization_errors_summarizers_datasets_error_detectors,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_neural_transitionbased_joint_model_for_disease_named_entity_recognition_and_normalization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reasoning_with_language_model_is_planning_with_world_model,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
edgeformer_a_parameterefficient_transformer_for_ondevice_seq2seq_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bipartiteplay_dialogue_collection_for_practical_automatic_evaluation_of_dialogue_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_method_for_stopping_active_learning_based_on_stabilizing_predictions_and_the_need_for_useradjustable_stopping,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
predicting_pragmatic_discourse_features_in_the_language_of_adults_with_autism_spectrum_disorder,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
when_reviewers_lock_horns_finding_disagreements_in_scientific_peer_reviews,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.1038,kumar-etal-2023-reviewers,"Sandeep Kumar, Tirthankar Ghosal, and Asif Ekbal. 2023. When Reviewers Lock Horns: Finding Disagreements in Scientific Peer Reviews. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 16693–16704, Singapore. Association for Computational Linguistics."
diverse_parallel_data_synthesis_for_crossdatabase_adaptation_of_texttosql_parsers,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cs2w_a_chinese_spokentowritten_style_conversion_dataset_with_multiple_conversion_types,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
newsreclib_a_pytorchlightning_library_for_neural_news_recommendation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
searching_for_the_xfactor_exploring_corpus_subjectivity_for_word_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
step_staged_parameterefficient_pretraining_for_large_language_models,August,2024.0,ACL,https://aclanthology.org/2024.acl-long,UNKNOWN_BIBKEY,N/A
lowquality_product_review_detection_in_opinion_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
timedial_temporal_commonsense_reasoning_in_dialog,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
building_lexicon_for_sentiment_analysis_from_massive_collection_of_html_documents,June,2007.0,,https://aclanthology.org/D07-1115,kaji-kitsuregawa-2007-building,"Nobuhiro Kaji and Masaru Kitsuregawa. 2007. Building Lexicon for Sentiment Analysis from Massive Collection of HTML Documents. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 1075–1083, Prague, Czech Republic. Association for Computational Linguistics."
undirected_machine_translation_with_discriminative_reinforcement_learning,April,2014.0,EACL,https://aclanthology.org/E14-1002,gesmundo-henderson-2014-undirected,"Andrea Gesmundo and James Henderson. 2014. Undirected Machine Translation with Discriminative Reinforcement Learning. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 10–19, Gothenburg, Sweden. Association for Computational Linguistics."
frame_semantics_for_stance_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
facilitating_multiturn_emotional_support_conversation_with_positive_emotion_elicitation_a_reinforcement_learning_approach,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
simultaneous_translation_with_flexible_policy_via_restricted_imitation_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
minimum_translation_modeling_with_recurrent_neural_networks,April,2014.0,EACL,https://aclanthology.org/E14-1003,hu-etal-2014-minimum,"Yuening Hu, Michael Auli, Qin Gao, and Jianfeng Gao. 2014. Minimum Translation Modeling with Recurrent Neural Networks. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 20–29, Gothenburg, Sweden. Association for Computational Linguistics."
exploiting_position_and_contextual_word_embeddings_for_keyphrase_extraction_from_scientific_papers,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.136,patel-caragea-2021-exploiting,"Krutarth Patel and Cornelia Caragea. 2021. Exploiting Position and Contextual Word Embeddings for Keyphrase Extraction from Scientific Papers. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1585–1591, Online. Association for Computational Linguistics."
knnbox_a_unified_framework_for_nearest_neighbor_generation,March,2024.0,EACL,https://aclanthology.org/2024.eacl-demo.2,zhu-etal-2024-knn,"Wenhao Zhu, Qianfeng Zhao, Yunzhe Lv, Shujian Huang, Siheng Zhao, Sizhe Liu, and Jiajun Chen. 2024. kNN-BOX: A Unified Framework for Nearest Neighbor Generation. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 10–17, St. Julians, Malta. Association for Computational Linguistics."
automatic_acquisition_of_twolevel_morphological_rules,March,1997.0,ANLP,https://aclanthology.org/A97-1016,theron-cloete-1997-automatic,"Pieter Theron and Ian Cloete. 1997. Automatic Acquisition of Two-Level Morphological Rules. In Fifth Conference on Applied Natural Language Processing, pages 103–110, Washington, DC, USA. Association for Computational Linguistics."
compressing_and_debiasing_visionlanguage_pretrained_models_for_visual_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
zhujiu_a_multidimensional_multifaceted_chinese_benchmark_for_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
crush4sql_collective_retrieval_using_schema_hallucination_for_text2sql,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
deep_neural_representations_for_multiword_expressions_detection,May,2022.0,ACL,https://aclanthology.org/2022.acl-srw.36,kanclerz-piasecki-2022-deep,"Kamil Kanclerz and Maciej Piasecki. 2022. Deep Neural Representations for Multiword Expressions Detection. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 444–453, Dublin, Ireland. Association for Computational Linguistics."
ice_idiom_and_collocation_extractor_for_research_and_education,April,2017.0,EACL,https://aclanthology.org/E17-3027,vuppuluri-etal-2017-ice,"Vasanthi Vuppuluri, Shahryar Baki, An Nguyen, and Rakesh Verma. 2017. ICE: Idiom and Collocation Extractor for Research and Education. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 108–111, Valencia, Spain. Association for Computational Linguistics."
importanceaware_data_augmentation_for_documentlevel_neural_machine_translation,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.44,wu-etal-2024-importance,"Minghao Wu, Yufei Wang, George Foster, Lizhen Qu, and Gholamreza Haffari. 2024. Importance-Aware Data Augmentation for Document-Level Neural Machine Translation. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 740–752, St. Julian’s, Malta. Association for Computational Linguistics."
manually_constructed_contextfree_grammar_for_myanmar_syllable_structure,April,2012.0,EACL,https://aclanthology.org/E12-3004,hlaing-2012-manually,"Tin Htay Hlaing. 2012. Manually constructed context-free grammar for Myanmar syllable structure. In Proceedings of the Student Research Workshop at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 32–37, Avignon, France. Association for Computational Linguistics."
are_missing_links_predictable_an_inferential_benchmark_for_knowledge_graph_completion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_multimodal_framework_to_detect_target_aware_aggression_in_memes,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.153,ahsan-etal-2024-multimodal,"Shawly Ahsan, Eftekhar Hossain, Omar Sharif, Avishek Das, Mohammed Moshiul Hoque, and M. Dewan. 2024. A Multimodal Framework to Detect Target Aware Aggression in Memes. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2487–2500, St. Julian’s, Malta. Association for Computational Linguistics."
brio_bringing_order_to_abstractive_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
joint_learning_of_representations_for_webtables_entities_and_types_using_graph_convolutional_network,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.102,pramanick-bhattacharya-2021-joint,"Aniket Pramanick and Indrajit Bhattacharya. 2021. Joint Learning of Representations for Web-tables, Entities and Types using Graph Convolutional Network. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1197–1206, Online. Association for Computational Linguistics."
compositional_representation_of_morphologicallyrich_input_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_topic_modeling_with_bidirectional_adversarial_training,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_partofspeech_taggers_with_interannotator_agreement_loss,April,2014.0,EACL,https://aclanthology.org/E14-1078,plank-etal-2014-learning,"Barbara Plank, Dirk Hovy, and Anders Søgaard. 2014. Learning part-of-speech taggers with inter-annotator agreement loss. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 742–751, Gothenburg, Sweden. Association for Computational Linguistics."
learning_to_write_with_cooperative_discriminators,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
transformerbased_entity_typing_in_knowledge_graphs,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.402,hu-etal-2022-transformer,"Zhiwei Hu, Victor Gutierrez-Basulto, Zhiliang Xiang, Ru Li, and Jeff Pan. 2022. Transformer-based Entity Typing in Knowledge Graphs. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5988–6001, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
capstone_curriculum_sampling_for_dense_retrieval_with_document_expansion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
iterative_constrained_clustering_for_subjectivity_word_sense_disambiguation,April,2014.0,EACL,https://aclanthology.org/E14-1029,akkaya-etal-2014-iterative,"Cem Akkaya, Janyce Wiebe, and Rada Mihalcea. 2014. Iterative Constrained Clustering for Subjectivity Word Sense Disambiguation. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 269–278, Gothenburg, Sweden. Association for Computational Linguistics."
aspectnews_aspectoriented_summarization_of_news_documents,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
twitter_homophily_network_based_prediction_of_users_occupation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
style_transformer_unpaired_text_style_transfer_without_disentangled_latent_representation,July,2019.0,ACL,https://aclanthology.org/P19-1601,dai-etal-2019-style,"Ning Dai, Jianze Liang, Xipeng Qiu, and Xuanjing Huang. 2019. Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 5997–6007, Florence, Italy. Association for Computational Linguistics."
robustqa_a_framework_for_adversarial_text_generation_analysis_on_question_answering_systems,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-demo.24,boreshban-etal-2023-robustqa,"Yasaman Boreshban, Seyed Morteza Mirbostani, Seyedeh Fatemeh Ahmadi, Gita Shojaee, Fatemeh Kamani, Gholamreza Ghassem-Sani, and Seyed Abolghasem Mirroshandel. 2023. RobustQA: A Framework for Adversarial Text Generation Analysis on Question Answering Systems. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 274–285, Singapore. Association for Computational Linguistics."
hucurl_humaninduced_curriculum_discovery,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
length_is_a_curse_and_a_blessing_for_documentlevel_semantics,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
reasoning_with_multimodal_sarcastic_tweets_via_modeling_crossmodality_contrast_and_semantic_association,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rethinking_style_transformer_with_energybased_interpretation_adversarial_unsupervised_style_transfer_using_a_pretrained_model,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.366,cho-etal-2022-rethinking,"Hojun Cho, Dohee Kim, Seungwoo Ryu, ChaeHun Park, Hyungjong Noh, Jeong-in Hwang, Minseok Choi, Edward Choi, and Jaegul Choo. 2022. Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5452–5467, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
retag_reasoning_aware_table_to_analytic_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
mind_the_gap_between_the_application_track_and_the_real_world,July,2023.0,ACL,https://aclanthology.org/2023.acl-short.156,ganesh-etal-2023-mind,"Ananya Ganesh, Jie Cao, E. Margaret Perkoff, Rosy Southwell, Martha Palmer, and Katharina Kann. 2023. Mind the Gap between the Application Track and the Real World. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1833–1842, Toronto, Canada. Association for Computational Linguistics."
semf1_an_automatic_way_for_semantic_evaluation_of_multinarrative_overlap_summaries_at_scale,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.49,bansal-etal-2022-sem,"Naman Bansal, Mousumi Akter, and Shubhra Kanti Karmaker Santu. 2022. SEM-F1: an Automatic Way for Semantic Evaluation of Multi-Narrative Overlap Summaries at Scale. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 780–792, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
bridging_the_gap_entailment_fusedt5_for_openretrieval_conversational_machine_reading_comprehension,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
gainer_graph_machine_learning_with_nodespecific_radius_for_classification_of_short_texts_and_documents,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_rank_answer_candidates_for_automatic_resolution_of_crossword_puzzles,June,2014.0,CoNLL,https://aclanthology.org/W14-1605,barlacchi-etal-2014-learning,"Gianni Barlacchi, Massimo Nicosia, and Alessandro Moschitti. 2014. Learning to Rank Answer Candidates for Automatic Resolution of Crossword Puzzles. In Proceedings of the Eighteenth Conference on Computational Natural Language Learning, pages 39–48, Ann Arbor, Michigan. Association for Computational Linguistics."
modeling_label_semantics_for_predicting_emotional_reactions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
matching_distributions_between_model_and_data_crossdomain_knowledge_distillation_for_unsupervised_domain_adaptation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
msena_an_integrated_platform_for_multimodal_sentiment_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
exploring_the_effects_of_negation_and_grammatical_tense_on_bias_probes,November,2022.0,,https://aclanthology.org/2022.aacl-short.53,touileb-2022-exploring,"Samia Touileb. 2022. Exploring the Effects of Negation and Grammatical Tense on Bias Probes. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 423–429, Online only. Association for Computational Linguistics."
multiparty_empathetic_dialogue_generation_a_new_task_for_dialog_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
paradetox_detoxification_with_parallel_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
alternative_input_signals_ease_transfer_in_multilingual_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
organ_observationguided_radiology_report_generation_via_tree_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_improvement_of_factual_knowledge_in_language_models,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.215,sadeq-etal-2023-unsupervised,"Nafis Sadeq, Byungkyu Kang, Prarit Lamba, and Julian McAuley. 2023. Unsupervised Improvement of Factual Knowledge in Language Models. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2960–2969, Dubrovnik, Croatia. Association for Computational Linguistics."
docent_learning_selfsupervised_entity_representations_from_large_document_collections,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.217,zemlyanskiy-etal-2021-docent,"Yury Zemlyanskiy, Sudeep Gandhe, Ruining He, Bhargav Kanagal, Anirudh Ravula, Juraj Gottweis, Fei Sha, and Ilya Eckstein. 2021. DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2540–2549, Online. Association for Computational Linguistics."
ecco_an_open_source_library_for_the_explainability_of_transformer_language_models,August,2021.0,,https://aclanthology.org/2021.acl-demo.30,alammar-2021-ecco,"J Alammar. 2021. Ecco: An Open Source Library for the Explainability of Transformer Language Models. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations, pages 249–257, Online. Association for Computational Linguistics."
learning_the_legibility_of_visual_text_perturbations,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.238,seth-etal-2023-learning,"Dev Seth, Rickard Stureborg, Danish Pruthi, and Bhuwan Dhingra. 2023. Learning the Legibility of Visual Text Perturbations. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3260–3273, Dubrovnik, Croatia. Association for Computational Linguistics."
thesis_proposal_detecting_agency_attribution,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_method_for_indepth_comparative_evaluation_how_dissimilar_are_outputs_of_pos_taggers_dependency_parsers_and_coreference_resolvers_really,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
howto_guides_for_specific_audiences_a_corpus_and_initial_findings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_systematic_assessment_of_syntactic_generalization_in_neural_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
optimal_transportbased_alignment_of_learned_character_representations_for_string_similarity,July,2019.0,ACL,https://aclanthology.org/P19-1592,tam-etal-2019-optimal,"Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, and Andrew McCallum. 2019. Optimal Transport-based Alignment of Learned Character Representations for String Similarity. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 5907–5917, Florence, Italy. Association for Computational Linguistics."
behind_the_article_recognizing_dialog_acts_in_wikipedia_talk_pages,April,2012.0,EACL,https://aclanthology.org/E12-1079,ferschke-etal-2012-behind,"Oliver Ferschke, Iryna Gurevych, and Yevgen Chebotar. 2012. Behind the Article: Recognizing Dialog Acts in Wikipedia Talk Pages. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 777–786, Avignon, France. Association for Computational Linguistics."
evidencebased_trustworthiness,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
preview_attend_and_review_schemaaware_curriculum_learning_for_multidomain_dialogue_state_tracking,August,2021.0,,https://aclanthology.org/2021.acl-short.111,dai-etal-2021-preview,"Yinpei Dai, Hangyu Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, and Xiaodan Zhu. 2021. Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialogue State Tracking. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 879–885, Online. Association for Computational Linguistics."
forestbased_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semantic_dependency_parsing_using_nbest_semantic_role_sequences_and_roleset_information,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
storylevel_text_style_transfer_a_proposal,July,2020.0,ACL,https://aclanthology.org/2020.acl-srw.2,qian-2020-story,"Yusu Qian. 2020. Story-level Text Style Transfer: A Proposal. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 8–12, Online. Association for Computational Linguistics."
incremental_beam_manipulation_for_natural_language_generation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.219,hargreaves-etal-2021-incremental,"James Hargreaves, Andreas Vlachos, and Guy Emerson. 2021. Incremental Beam Manipulation for Natural Language Generation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2563–2574, Online. Association for Computational Linguistics."
complex_evolutional_pattern_learning_for_temporal_knowledge_graph_reasoning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
endtoend_lexically_constrained_machine_translation_for_morphologically_rich_languages,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_investigation_of_the_ineffectiveness_of_counterfactually_augmented_data,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_the_robustness_of_qa_models_to_challenge_sets_with_variational_questionanswer_pair_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
timelms_diachronic_language_models_from_twitter,May,2022.0,ACL,https://aclanthology.org/2022.acl-demo.25,loureiro-etal-2022-timelms,"Daniel Loureiro, Francesco Barbieri, Leonardo Neves, Luis Espinosa Anke, and Jose Camacho-collados. 2022. TimeLMs: Diachronic Language Models from Twitter. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 251–260, Dublin, Ireland. Association for Computational Linguistics."
word_order_does_matter_and_shuffled_language_models_know_it,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semisupervised_stochastic_multidomain_learning_using_variational_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
improving_stability_of_finetuning_pretrained_language_models_via_componentwise_gradient_norm_clipping,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_weak_supervision_approach_for_fewshot_aspect_based_sentiment_analysis,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.167,vacareanu-etal-2024-weak,"Robert Vacareanu, Siddharth Varia, Kishaloy Halder, Shuai Wang, Giovanni Paolini, Neha Anna John, Miguel Ballesteros, and Smaranda Muresan. 2024. A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2734–2752, St. Julian’s, Malta. Association for Computational Linguistics."
joint_energybased_model_training_for_better_calibrated_natural_language_understanding_models,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.151,he-etal-2021-joint,"Tianxing He, Bryan McCann, Caiming Xiong, and Ehsan Hosseini-Asl. 2021. Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1754–1761, Online. Association for Computational Linguistics."
predicting_and_characterising_user_impact_on_twitter,April,2014.0,EACL,https://aclanthology.org/E14-1043,lampos-etal-2014-predicting,"Vasileios Lampos, Nikolaos Aletras, Daniel Preoţiuc-Pietro, and Trevor Cohn. 2014. Predicting and Characterising User Impact on Twitter. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 405–413, Gothenburg, Sweden. Association for Computational Linguistics."
zeroshot_faithful_factual_error_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
connecting_degree_and_polarity_an_artificial_language_learning_study,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.938,bylinina-etal-2023-connecting,"Lisa Bylinina, Alexey Tikhonov, and Ekaterina Garmash. 2023. Connecting degree and polarity: An artificial language learning study. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15168–15177, Singapore. Association for Computational Linguistics."
generative_language_models_for_paragraphlevel_question_generation,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.42,ushio-etal-2022-generative,"Asahi Ushio, Fernando Alva-Manchego, and Jose Camacho-Collados. 2022. Generative Language Models for Paragraph-Level Question Generation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 670–688, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
el_volumen_louder_por_favor_codeswitching_in_taskoriented_semantic_parsing,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.87,einolghozati-etal-2021-el,"Arash Einolghozati, Abhinav Arora, Lorena Sainz-Maza Lecanda, Anuj Kumar, and Sonal Gupta. 2021. El Volumen Louder Por Favor: Code-switching in Task-oriented Semantic Parsing. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1009–1021, Online. Association for Computational Linguistics."
dataset_creation_for_ranking_constructive_news_comments,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_retrieveandrewrite_initialization_method_for_unsupervised_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
paraphrasing_revisited_with_neural_machine_translation,April,2017.0,EACL,https://aclanthology.org/E17-1083,mallinson-etal-2017-paraphrasing,"Jonathan Mallinson, Rico Sennrich, and Mirella Lapata. 2017. Paraphrasing Revisited with Neural Machine Translation. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 881–893, Valencia, Spain. Association for Computational Linguistics."
neural_tree_indexers_for_text_understanding,April,2017.0,EACL,https://aclanthology.org/E17-1002,munkhdalai-yu-2017-neural,"Tsendsuren Munkhdalai and Hong Yu. 2017. Neural Tree Indexers for Text Understanding. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 11–21, Valencia, Spain. Association for Computational Linguistics."
three_stream_based_multilevel_event_contrastive_learning_for_textvideo_event_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
ccprefix_counterfactual_contrastive_prefixtuning_for_manyclass_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semantic_scaffolds_for_pseudocodetocode_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
making_more_of_little_data_improving_lowresource_automatic_speech_recognition_using_data_augmentation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
statistical_script_learning_with_multiargument_events,April,2014.0,EACL,https://aclanthology.org/E14-1024,pichotta-mooney-2014-statistical,"Karl Pichotta and Raymond Mooney. 2014. Statistical Script Learning with Multi-Argument Events. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 220–229, Gothenburg, Sweden. Association for Computational Linguistics."
selfattention_architectures_for_answeragnostic_neural_question_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
codeie_large_code_generation_models_are_better_fewshot_information_extractors,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
inference_protocols_for_coreference_resolution,June,2011.0,CoNLL,https://aclanthology.org/W11-1904,chang-etal-2011-inference,"Kai-Wei Chang, Rajhans Samdani, Alla Rozovskaya, Nick Rizzolo, Mark Sammons, and Dan Roth. 2011. Inference Protocols for Coreference Resolution. In Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task, pages 40–44, Portland, Oregon, USA. Association for Computational Linguistics."
crosstopic_rumor_detection_using_topicmixtures,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.131,ren-etal-2021-cross,"Xiaoying Ren, Jing Jiang, Ling Min Serena Khoo, and Hai Leong Chieu. 2021. Cross-Topic Rumor Detection using Topic-Mixtures. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1534–1538, Online. Association for Computational Linguistics."
unsupervised_discovery_of_gendered_language_through_latentvariable_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
user_simulations_for_contextsensitive_speech_recognition_in_spoken_dialogue_systems,March,2009.0,EACL,https://aclanthology.org/E09-1058,lemon-konstas-2009-user,"Oliver Lemon and Ioannis Konstas. 2009. User Simulations for Context-Sensitive Speech Recognition in Spoken Dialogue Systems. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 505–513, Athens, Greece. Association for Computational Linguistics."
crosslingual_syntactically_informed_distributed_word_representations,April,2017.0,EACL,https://aclanthology.org/E17-2065,vulic-2017-cross,"Ivan Vulić. 2017. Cross-Lingual Syntactically Informed Distributed Word Representations. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 408–414, Valencia, Spain. Association for Computational Linguistics."
chinese_content_scoring_openaccess_datasets_and_features_on_different_segmentation_levels,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
document_modeling_with_external_attention_for_sentence_extraction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
competencyaware_neural_machine_translation_can_machine_translation_know_its_own_translation_quality,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.330,zhang-etal-2022-competency,"Pei Zhang, Baosong Yang, Hao-Ran Wei, Dayiheng Liu, Kai Fan, Luo Si, and Jun Xie. 2022. Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4959–4970, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
divide_and_denoise_learning_from_noisy_labels_in_finegrained_entity_typing_with_clusterwise_loss_correction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dynamic_heterogeneousgraph_reasoning_with_language_models_and_knowledge_representation_learning_for_commonsense_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
featurebased_method_for_document_alignment_in_comparable_news_corpora,March,2009.0,EACL,https://aclanthology.org/E09-1096,vu-etal-2009-feature,"Thuy Vu, Ai Ti Aw, and Min Zhang. 2009. Feature-Based Method for Document Alignment in Comparable News Corpora. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 843–851, Athens, Greece. Association for Computational Linguistics."
efficient_classification_of_long_documents_via_statespace_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
on_the_limitations_of_referencefree_evaluations_of_generated_text,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
model_transfer_with_explicit_knowledge_of_the_relation_between_class_definitions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
speechut_bridging_speech_and_text_with_hiddenunit_for_encoderdecoder_based_speechtext_pretraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
under_the_morphosyntactic_lens_a_multifaceted_evaluation_of_gender_bias_in_speech_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
endtoend_training_of_neural_retrievers_for_opendomain_question_answering,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
neural_machine_translation_with_monolingual_translation_memory,August,2021.0,,https://aclanthology.org/2021.acl-long.567,cai-etal-2021-neural,"Deng Cai, Yan Wang, Huayang Li, Wai Lam, and Lemao Liu. 2021. Neural Machine Translation with Monolingual Translation Memory. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 7307–7318, Online. Association for Computational Linguistics."
opendomain_targeted_sentiment_analysis_via_spanbased_extraction_and_classification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
representations_for_question_answering_from_documents_with_tables_and_text,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.253,zayats-etal-2021-representations,"Vicky Zayats, Kristina Toutanova, and Mari Ostendorf. 2021. Representations for Question Answering from Documents with Tables and Text. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 2895–2906, Online. Association for Computational Linguistics."
domainadaptive_pretraining_methods_for_dialogue_understanding,August,2021.0,,https://aclanthology.org/2021.acl-short.84,wu-etal-2021-domain,"Han Wu, Kun Xu, Linfeng Song, Lifeng Jin, Haisong Zhang, and Linqi Song. 2021. Domain-Adaptive Pretraining Methods for Dialogue Understanding. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 665–669, Online. Association for Computational Linguistics."
intrinsic_dimensionality_explains_the_effectiveness_of_language_model_finetuning,August,2021.0,,https://aclanthology.org/2021.acl-long.568,aghajanyan-etal-2021-intrinsic,"Armen Aghajanyan, Sonal Gupta, and Luke Zettlemoyer. 2021. Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 7319–7328, Online. Association for Computational Linguistics."
translation_errors_significantly_impact_lowresource_languages_in_crosslingual_learning,March,2024.0,EACL,https://aclanthology.org/2024.eacl-short.28,agrawal-etal-2024-translation,"Ashish Agrawal, Barah Fazili, and Preethi Jyothi. 2024. Translation Errors Significantly Impact Low-Resource Languages in Cross-Lingual Learning. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 319–329, St. Julian’s, Malta. Association for Computational Linguistics."
towards_scalable_and_reliable_capsule_networks_for_challenging_nlp_applications,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
largescale_evaluation_of_dependencybased_dsms_are_they_worth_the_effort,April,2017.0,EACL,https://aclanthology.org/E17-2063,lapesa-evert-2017-large,"Gabriella Lapesa and Stefan Evert. 2017. Large-scale evaluation of dependency-based DSMs: Are they worth the effort?. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 394–400, Valencia, Spain. Association for Computational Linguistics."
africlirmatrix_enabling_crosslingual_information_retrieval_for_african_languages,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.597,ogundepo-etal-2022-africlirmatrix,"Odunayo Ogundepo, Xinyu Zhang, Shuo Sun, Kevin Duh, and Jimmy Lin. 2022. AfriCLIRMatrix: Enabling Cross-Lingual Information Retrieval for African Languages. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 8721–8728, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
counterfactual_reasoning_testing_language_models_understanding_of_hypothetical_scenarios,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
selective_knowledge_distillation_for_neural_machine_translation,August,2021.0,,https://aclanthology.org/2021.acl-long.504,wang-etal-2021-selective,"Fusheng Wang, Jianhao Yan, Fandong Meng, and Jie Zhou. 2021. Selective Knowledge Distillation for Neural Machine Translation. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 6456–6466, Online. Association for Computational Linguistics."
uncertainty_determines_the_adequacy_of_the_mode_and_the_tractability_of_decoding_in_sequencetosequence_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_probabilistic_approach_to_diachronic_phonology,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
an_empirical_investigation_of_structured_output_modeling_for_graphbased_neural_dependency_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unigeo_unifying_geometry_logical_reasoning_via_reformulating_mathematical_expression,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
riveter_measuring_power_and_social_dynamics_between_entities,July,2023.0,ACL,https://aclanthology.org/2023.acl-demo.36,antoniak-etal-2023-riveter,"Maria Antoniak, Anjalie Field, Jimin Mun, Melanie Walsh, Lauren Klein, and Maarten Sap. 2023. Riveter: Measuring Power and Social Dynamics Between Entities. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 377–388, Toronto, Canada. Association for Computational Linguistics."
probing_crosslingual_lexical_knowledge_from_multilingual_sentence_encoders,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.153,vulic-etal-2023-probing,"Ivan Vulić, Goran Glavaš, Fangyu Liu, Nigel Collier, Edoardo Maria Ponti, and Anna Korhonen. 2023. Probing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2089–2105, Dubrovnik, Croatia. Association for Computational Linguistics."
topic_modeling_for_short_texts_with_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
engine_energybased_inference_networks_for_nonautoregressive_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
speechenriched_memory_for_inferencetime_adaptation_of_asr_models_to_word_dictionaries,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.916,mittal-etal-2023-speech,"Ashish Mittal, Sunita Sarawagi, Preethi Jyothi, George Saon, and Gakuto Kurata. 2023. Speech-enriched Memory for Inference-time Adaptation of ASR Models to Word Dictionaries. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 14820–14835, Singapore. Association for Computational Linguistics."
gazevqa_a_video_question_answering_dataset_for_multiview_eyegaze_taskoriented_collaborations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
alfred_a_system_for_prompted_weak_supervision,July,2023.0,ACL,https://aclanthology.org/2023.acl-demo.46,yu-bach-2023-alfred,"Peilin Yu and Stephen Bach. 2023. Alfred: A System for Prompted Weak Supervision. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 479–488, Toronto, Canada. Association for Computational Linguistics."
advancements_in_arabic_grammatical_error_detection_and_correction_an_empirical_investigation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
spacerini_plugandplay_search_engines_with_pyserini_and_hugging_face,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-demo.12,akiki-etal-2023-spacerini,"Christopher Akiki, Odunayo Ogundepo, Aleksandra Piktus, Xinyu Zhang, Akintunde Oladipo, Jimmy Lin, and Martin Potthast. 2023. Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 140–148, Singapore. Association for Computational Linguistics."
how_to_plant_trees_in_language_models_data_and_architectural_effects_on_the_emergence_of_syntactic_inductive_biases,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multiclass_animacy_classification_with_semantic_features,April,2014.0,EACL,https://aclanthology.org/E14-3008,bjerva-2014-multi,"Johannes Bjerva. 2014. Multi-class Animacy Classification with Semantic Features. In Proceedings of the Student Research Workshop at the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 65–75, Gothenburg, Sweden. Association for Computational Linguistics."
natural_logicguided_autoregressive_multihop_document_retrieval_for_fact_verification,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.411,aly-vlachos-2022-natural,"Rami Aly and Andreas Vlachos. 2022. Natural Logic-guided Autoregressive Multi-hop Document Retrieval for Fact Verification. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6123–6135, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
learning_compressed_sentence_representations_for_ondevice_text_processing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
estimating_soft_labels_for_outofdomain_intent_detection,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.18,lang-etal-2022-estimating,"Hao Lang, Yinhe Zheng, Jian Sun, Fei Huang, Luo Si, and Yongbin Li. 2022. Estimating Soft Labels for Out-of-Domain Intent Detection. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 261–276, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
language_modeling_with_shared_grammar,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
minialbert_model_distillation_via_parameterefficient_recursive_transformers,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.83,nouriborji-etal-2023-minialbert,"Mohammadmahdi Nouriborji, Omid Rohanian, Samaneh Kouchaki, and David A. Clifton. 2023. MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1161–1173, Dubrovnik, Croatia. Association for Computational Linguistics."
improving_long_distance_slot_carryover_in_spoken_dialogue_systems,August,2019.0,ACL,https://aclanthology.org/W19-4111,chen-etal-2019-improving-long,"Tongfei Chen, Chetan Naik, Hua He, Pushpendre Rastogi, and Lambert Mathias. 2019. Improving Long Distance Slot Carryover in Spoken Dialogue Systems. In Proceedings of the First Workshop on NLP for Conversational AI, pages 96–105, Florence, Italy. Association for Computational Linguistics."
clip_models_are_fewshot_learners_empirical_studies_on_vqa_and_visual_entailment,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_architectures_from_an_extended_search_space_for_language_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
localrqa_from_generating_data_to_locally_training_testing_and_deploying_retrievalaugmented_qa_systems,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_shortest_string_decoding_for_nonidempotent_semirings,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.43,gorman-allauzen-2024-shortest,"Kyle Gorman and Cyril Allauzen. 2024. A* shortest string decoding for non-idempotent semirings. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 732–739, St. Julian’s, Malta. Association for Computational Linguistics."
polar_ducks_and_where_to_find_them_enhancing_entity_linking_with_duck_typing_and_polar_box_embeddings,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
learning_to_control_the_finegrained_sentiment_for_story_ending_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
shapley_head_pruning_identifying_and_removing_interference_in_multilingual_transformers,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.177,held-yang-2023-shapley,"William Held and Diyi Yang. 2023. Shapley Head Pruning: Identifying and Removing Interference in Multilingual Transformers. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2416–2427, Dubrovnik, Croatia. Association for Computational Linguistics."
r2d2_recursive_transformer_based_on_differentiable_tree_for_interpretable_hierarchical_language_modeling,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dependency_resolution_at_the_syntaxsemantics_interface_psycholinguistic_and_computational_insights_on_control_dependencies,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
cladst_contrastive_learning_with_adversarial_data_for_robust_speech_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
automatic_construction_of_machine_translation_knowledge_using_translation_literalness,April,2003.0,EACL,https://aclanthology.org/E03-1029,imamura-etal-2003-automatic,"Kenji Imamura, Eiichiro Sumita, and Yuji Matsumoto. 2003. Automatic Construction of Machine Translation Knowledge Using Translation Literalness. In 10th Conference of the European Chapter of the Association for Computational Linguistics, Budapest, Hungary. Association for Computational Linguistics."
lstms_can_learn_syntaxsensitive_dependencies_well_but_modeling_structure_makes_them_better,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
text_and_causal_inference_a_review_of_using_text_to_remove_confounding_from_causal_estimates,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
copyright_violations_and_large_language_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
keywords_and_instances_a_hierarchical_contrastive_learning_framework_unifying_hybrid_granularities_for_text_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
using_neural_machine_translation_methods_for_sign_language_translation,May,2022.0,ACL,https://aclanthology.org/2022.acl-srw.21,angelova-etal-2022-using,"Galina Angelova, Eleftherios Avramidis, and Sebastian Möller. 2022. Using Neural Machine Translation Methods for Sign Language Translation. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 273–284, Dublin, Ireland. Association for Computational Linguistics."
can_pretrained_language_models_yet_reason_deductively,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.106,yuan-etal-2023-pretrained,"Zhangdie Yuan, Songbo Hu, Ivan Vulić, Anna Korhonen, and Zaiqiao Meng. 2023. Can Pretrained Language Models (Yet) Reason Deductively?. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1447–1462, Dubrovnik, Croatia. Association for Computational Linguistics."
a_supertagcontext_model_for_weaklysupervised_ccg_parser_learning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
information_presentation_in_spoken_dialogue_systems,April,2006.0,EACL,https://aclanthology.org/E06-1009,demberg-moore-2006-information,"Vera Demberg and Johanna D. Moore. 2006. Information Presentation in Spoken Dialogue Systems. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 65–72, Trento, Italy. Association for Computational Linguistics."
compounding_geometric_operations_for_knowledge_graph_completion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semantic_simplification_for_sentiment_classification,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.757,jiang-etal-2022-semantic,"Xiaotong Jiang, Zhongqing Wang, and Guodong Zhou. 2022. Semantic Simplification for Sentiment Classification. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11022–11032, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
achieving_conversational_goals_with_unsupervised_posthoc_knowledge_injection,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
multilingual_speech_translation_from_efficient_finetuning_of_pretrained_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
leapofthought_accelerating_transformers_via_dynamic_token_routing,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-main.976,kim-etal-2023-leap,"Yeachan Kim, Junho Kim, Jun-Hyung Park, Mingyu Lee, and SangKeun Lee. 2023. Leap-of-Thought: Accelerating Transformers via Dynamic Token Routing. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15757–15769, Singapore. Association for Computational Linguistics."
lmcppf_paraphrasingguided_data_augmentation_for_contrastive_promptbased_fewshot_finetuning,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
deep_neural_model_inspection_and_comparison_via_functional_neuron_pathways,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
enhancing_word_embeddings_with_knowledge_extracted_from_lexical_resources,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
penn__bgu_babyberta_for_strictsmall_babylm_challenge,December,2023.0,CoNLL,https://aclanthology.org/2023.conll-babylm.7,yang-etal-2023-penn,"Yahan Yang, Elior Sulem, Insup Lee, and Dan Roth. 2023. Penn & BGU BabyBERTa+ for Strict-Small BabyLM Challenge. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 86–88, Singapore. Association for Computational Linguistics."
arganalysis35k__a_largescale_dataset_for_argument_quality_analysis,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
hitscir_at_mrp_2019_a_unified_pipeline_for_meaning_representation_parsing_via_efficient_training_and_effective_encoding,November,2019.0,CoNLL,https://aclanthology.org/K19-2013,cao-etal-2019-amazon,"Jie Cao, Yi Zhang, Adel Youssef, and Vivek Srikumar. 2019. Amazon at MRP 2019: Parsing Meaning Representations with Lexical and Phrasal Anchoring. In Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning, pages 138–148, Hong Kong. Association for Computational Linguistics."
informationtheoretic_probing_for_linguistic_structure,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
elleipo_a_module_that_computes_coordinative_ellipsis_for_generators_that_dont,,2006.0,EACL,https://aclanthology.org/E06-2008,harbusch-kempen-2006-elleipo,"Karin Harbusch and Gerard Kempen. 2006. ELLEIPO: A Module that Computes Coordinative Ellipsis for Generators that Don’t. In Demonstrations, pages 115–118."
reevaluating_the_role_of_bleu_in_machine_translation_research,April,2006.0,EACL,https://aclanthology.org/E06-1032,callison-burch-etal-2006-evaluating,"Chris Callison-Burch, Miles Osborne, and Philipp Koehn. 2006. Re-evaluating the Role of Bleu in Machine Translation Research. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 249–256, Trento, Italy. Association for Computational Linguistics."
learning_robust_representations_for_continual_relation_extraction_via_adversarial_class_augmentation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
predicting_and_using_target_length_in_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
lexical_morphology_in_machine_translation_a_feasibility_study,March,2009.0,EACL,https://aclanthology.org/E09-1016,cartoni-2009-lexical,"Bruno Cartoni. 2009. Lexical Morphology in Machine Translation: A Feasibility Study. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 130–138, Athens, Greece. Association for Computational Linguistics."
dionysus_a_pretrained_model_for_lowresource_dialogue_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
leveraging_passage_retrieval_with_generative_models_for_open_domain_question_answering,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.74,izacard-grave-2021-leveraging,"Gautier Izacard and Edouard Grave. 2021. Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 874–880, Online. Association for Computational Linguistics."
the_boating_store_had_its_best_sail_ever_pronunciationattentive_contextualized_pun_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_relational_memorybased_embedding_model_for_triple_classification_and_search_personalization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
weaklysupervised_questions_for_zeroshot_relation_extraction,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.224,najafi-fyshe-2023-weakly,"Saeed Najafi and Alona Fyshe. 2023. Weakly-Supervised Questions for Zero-Shot Relation Extraction. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3075–3087, Dubrovnik, Croatia. Association for Computational Linguistics."
selfadaptive_scaling_for_learnable_residual_structure,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
elastic_weight_consolidation_for_better_bias_inoculation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.82,thorne-vlachos-2021-elastic,"James Thorne and Andreas Vlachos. 2021. Elastic weight consolidation for better bias inoculation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 957–964, Online. Association for Computational Linguistics."
how_helpful_is_inverse_reinforcement_learning_for_tabletotext_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
making_use_of_latent_space_in_language_gans_for_generating_diverse_text_without_pretraining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
discovering_dialogue_slots_with_weak_supervision,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rlet_a_reinforcement_learning_based_approach_for_explainable_qa_with_entailment_trees,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.483,liu-etal-2022-rlet,"Tengxiao Liu, Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, and Zheng Zhang. 2022. RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 7177–7189, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
cliquebased_clustering_for_improving_named_entity_recognition_systems,March,2009.0,EACL,https://aclanthology.org/E09-1007,ah-pine-jacquet-2009-clique,"Julien Ah-Pine and Guillaume Jacquet. 2009. Clique-Based Clustering for Improving Named Entity Recognition Systems. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pages 51–59, Athens, Greece. Association for Computational Linguistics."
twittirish_a_universal_dependencies_treebank_of_tweets_in_modern_irish,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
linking_surface_facts_to_largescale_knowledge_graphs,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
boteval_facilitating_interactive_human_evaluation,August,2024.0,ACL,https://aclanthology.org/2024.acl-demos.11,cho-etal-2024-boteval,"Hyundong Cho, Thamme Gowda, Yuyang Huang, Zixun Lu, Tianli Tong, and Jonathan May. 2024. BotEval: Facilitating Interactive Human Evaluation. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 107–116, Bangkok, Thailand. Association for Computational Linguistics."
contrastive_analysis_with_predictive_power_typology_driven_estimation_of_grammatical_error_distributions_in_esl,July,2015.0,CoNLL,https://aclanthology.org/K15-1010,berzak-etal-2015-contrastive,"Yevgeni Berzak, Roi Reichart, and Boris Katz. 2015. Contrastive Analysis with Predictive Power: Typology Driven Estimation of Grammatical Error Distributions in ESL. In Proceedings of the Nineteenth Conference on Computational Natural Language Learning, pages 94–102, Beijing, China. Association for Computational Linguistics."
exploiting_domainslot_related_keywords_description_for_fewshot_crossdomain_dialogue_state_tracking,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
using_support_vector_machines_and_stateoftheart_algorithms_for_phonetic_alignment_to_identify_cognates_in_multilingual_wordlists,June,2024.0,SemEval,https://aclanthology.org/2024.semeval-1.215,rezaei-etal-2024-clulab,"Mohammadhossein Rezaei, Yeaeun Kwon, Reza Sanayei, Abhyuday Singh, and Steven Bethard. 2024. CLULab-UofA at SemEval-2024 Task 8: Detecting Machine-Generated Text Using Triplet-Loss-Trained Text Similarity and Text Classification. In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pages 1498–1504, Mexico City, Mexico. Association for Computational Linguistics."
representation_and_generation_of_machine_learning_test_functions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
early_detection_of_sexual_predators_in_chats,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
semantic_frame_induction_with_deep_metric_learning,May,2023.0,EACL,https://aclanthology.org/2023.eacl-main.134,yamada-etal-2023-semantic,"Kosuke Yamada, Ryohei Sasano, and Koichi Takeda. 2023. Semantic Frame Induction with Deep Metric Learning. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1833–1845, Dubrovnik, Croatia. Association for Computational Linguistics."
mqag_multiplechoice_question_answering_and_generation_for_assessing_information_consistency_in_summarization,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
diversity_enhanced_narrative_question_generation_for_storybooks,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
unsupervised_multilingual_sentence_embeddings_for_parallel_corpus_mining,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
bias_in_opinion_summarisation_from_pretraining_to_adaptation_a_case_study_in_political_bias,March,2024.0,EACL,https://aclanthology.org/2024.eacl-long.63,huang-etal-2024-bias,"Nannan Huang, Haytham Fayek, and Xiuzhen Zhang. 2024. Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1041–1055, St. Julian’s, Malta. Association for Computational Linguistics."
a_holistic_approach_to_referencefree_evaluation_of_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
fleek_factual_error_detection_and_correction_with_evidence_retrieved_from_external_knowledge,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
papermage_a_unified_toolkit_for_processing_representing_and_manipulating_visuallyrich_scientific_documents,December,2023.0,EMNLP,https://aclanthology.org/2023.emnlp-demo.45,lo-etal-2023-papermage,"Kyle Lo, Zejiang Shen, Benjamin Newman, Joseph Chang, Russell Authur, Erin Bransom, Stefan Candra, Yoganand Chandrasekhar, Regan Huff, Bailey Kuehl, Amanpreet Singh, Chris Wilhelm, Angele Zamarron, Marti A. Hearst, Daniel Weld, Doug Downey, and Luca Soldaini. 2023. PaperMage: A Unified Toolkit for Processing, Representing, and Manipulating Visually-Rich Scientific Documents. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 495–507, Singapore. Association for Computational Linguistics."
improving_adversarial_text_generation_by_modeling_the_distant_future,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
handling_japanese_homophone_errors_in_revision_support_system_for_japanese_texts_revise,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
interfair_debiasing_with_natural_language_feedback_for_fair_interpretable_predictions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
coarsetofine_decoding_for_neural_semantic_parsing,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
stagewise_finetuning_for_graphtotext_generation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
rasat_integrating_relational_structures_into_pretrained_seq2seq_model_for_texttosql,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
zeroshot_neural_passage_retrieval_via_domaintargeted_synthetic_question_generation,April,2021.0,EACL,https://aclanthology.org/2021.eacl-main.92,ma-etal-2021-zero,"Ji Ma, Ivan Korotkov, Yinfei Yang, Keith Hall, and Ryan McDonald. 2021. Zero-shot Neural Passage Retrieval via Domain-targeted Synthetic Question Generation. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1075–1088, Online. Association for Computational Linguistics."
coherencebased_modeling_of_clinical_concepts_inferred_from_heterogeneous_clinical_notes_for_icu_patient_risk_stratification,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
holistic_interannotator_agreement_and_corpus_coherence_estimation_in_a_largescale_multilingual_annotation_campaign,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
spanner_named_entity_rerecognition_as_span_prediction,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
boosting_neural_machine_translation_with_similar_translations,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
emonoba_a_dataset_for_analyzing_finegrained_emotions_on_noisy_bangla_texts,November,2022.0,,https://aclanthology.org/2022.aacl-short.17,islam-etal-2022-emonoba,"Khondoker Ittehadul Islam, Tanvir Yuvraz, Md Saiful Islam, and Enamul Hassan. 2022. EmoNoBa: A Dataset for Analyzing Fine-Grained Emotions on Noisy Bangla Texts. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 128–134, Online only. Association for Computational Linguistics."
whats_in_a_name_entity_type_variation_across_two_biomedical_subdomains,April,2012.0,EACL,https://aclanthology.org/E12-3005,mihaila-batista-navarro-2012-whats,"Claudiu Mihăilă and Riza Theresa Batista-Navarro. 2012. What’s in a Name? Entity Type Variation across Two Biomedical Subdomains. In Proceedings of the Student Research Workshop at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 38–45, Avignon, France. Association for Computational Linguistics."
optimizing_retrievalaugmented_reader_models_via_token_elimination,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
zeroshot_entity_linking_by_reading_entity_descriptions,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
endtoend_singlechannel_speakerturn_aware_conversational_speech_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
optimal_transport_for_unsupervised_hallucination_detection_in_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
when_a_good_translation_is_wrong_in_context_contextaware_machine_translation_improves_on_deixis_ellipsis_and_lexical_cohesion,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
maieutic_prompting_logically_consistent_reasoning_with_recursive_explanations,December,2022.0,EMNLP,https://aclanthology.org/2022.emnlp-main.82,jung-etal-2022-maieutic,"Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, and Yejin Choi. 2022. Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1266–1279, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics."
on_the_practical_computational_power_of_finite_precision_rnns_for_language_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
evaluating_explanation_methods_for_neural_machine_translation,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
saral_a_lowresource_crosslingual_domainfocused_information_retrieval_system_for_effective_rapid_document_triage,July,2019.0,ACL,https://aclanthology.org/P19-3004,boschee-etal-2019-saral,"Elizabeth Boschee, Joel Barry, Jayadev Billa, Marjorie Freedman, Thamme Gowda, Constantine Lignos, Chester Palen-Michel, Michael Pust, Banriskhem Kayang Khonglah, Srikanth Madikeri, Jonathan May, and Scott Miller. 2019. SARAL: A Low-Resource Cross-Lingual Domain-Focused Information Retrieval System for Effective Rapid Document Triage. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 19–24, Florence, Italy. Association for Computational Linguistics."
composing_extended_topdown_tree_transducers,April,2012.0,EACL,https://aclanthology.org/E12-1082,lagoutte-etal-2012-composing,"Aurélie Lagoutte, Fabienne Braune, Daniel Quernheim, and Andreas Maletti. 2012. Composing extended top-down tree transducers. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 808–817, Avignon, France. Association for Computational Linguistics."
actionsensitive_phonological_dependencies,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
using_human_attention_to_extract_keyphrase_from_microblog_post,July,2019.0,ACL,https://aclanthology.org/P19-1588,zhang-zhang-2019-using,"Yingyi Zhang and Chengzhi Zhang. 2019. Using Human Attention to Extract Keyphrase from Microblog Post. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 5867–5872, Florence, Italy. Association for Computational Linguistics."
learning_to_exploit_structured_resources_for_lexical_inference,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
selective_labeling_how_to_radically_lower_datalabeling_costs_for_document_extraction_models,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
a_semimarkov_structured_support_vector_machine_model_for_highprecision_named_entity_recognition,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
dealing_with_semantic_underspecification_in_multimodal_nlp,,,,MISSING_URL,UNKNOWN_BIBKEY,N/A
nlp_workbench_efficient_and_extensible_integration_of_stateoftheart_text_mining_tools,May,2023.0,EACL,https://aclanthology.org/2023.eacl-demo.3,yao-etal-2023-nlp,"Peiran Yao, Matej Kosmajac, Abeer Waheed, Kostyantyn Guzhva, Natalie Hervieux, and Denilson Barbosa. 2023. NLP Workbench: Efficient and Extensible Integration of State-of-the-art Text Mining Tools. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 18–26, Dubrovnik, Croatia. Association for Computational Linguistics."