Update README.md

README.md

@@ -212,13 +212,22 @@ While this model enhances stance detection capabilities, it may still encounter
 If you use this model in your research, please cite our paper:
 
 ```bibtex
-@inproceedings{ghafouri2024stance,
-  title={I love pineapple on pizza != I hate pineapple on pizza: Stance-Aware Sentence Transformers for Opinion Mining},
-  author={Ghafouri, Vahid and Such, Jose and Suarez-Tangil, Guillermo},
-  booktitle={Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
-  year={2024},
-  month={November 14},
-  url={https://hdl.handle.net/20.500.12761/1851},
-  note={Available online at https://hdl.handle.net/20.500.12761/1851}
+@inproceedings{ghafouri-etal-2024-love,
+    title = "{I} love pineapple on pizza != {I} hate pineapple on pizza: Stance-Aware Sentence Transformers for Opinion Mining",
+    author = "Ghafouri, Vahid  and
+      Such, Jose  and
+      Suarez-Tangil, Guillermo",
+    editor = "Al-Onaizan, Yaser  and
+      Bansal, Mohit  and
+      Chen, Yun-Nung",
+    booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing",
+    month = nov,
+    year = "2024",
+    address = "Miami, Florida, USA",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2024.emnlp-main.1171/",
+    doi = "10.18653/v1/2024.emnlp-main.1171",
+    pages = "21046--21058",
+    abstract = "Sentence transformers excel at grouping topically similar texts, but struggle to differentiate opposing viewpoints on the same topic. This shortcoming hinders their utility in applications where understanding nuanced differences in opinion is essential, such as those related to social and political discourse analysis. This paper addresses this issue by fine-tuning sentence transformers with arguments for and against human-generated controversial claims. We demonstrate how our fine-tuned model enhances the utility of sentence transformers for social computing tasks such as opinion mining and stance detection. We elaborate that applying stance-aware sentence transformers to opinion mining is a more computationally efficient and robust approach in comparison to the classic classification-based approaches."
 }
 ```