---
license: apache-2.0
language:
- de
base_model:
- dbmdz/bert-base-german-uncased
pipeline_tag: text-classification
---

# Model Summary
This model is a finetuned [bert-base-german-uncased](https://huggingface.co/dbmdz/bert-base-german-uncased) for binary classification of short quotations between
literary works and scholarly works. The model is intended to be used as part of our tool `ProQuoLM`. More information can be found in the corresponding
[repository](https://scm.cms.hu-berlin.de/schluesselstellen/proquo) and our paper
[A Novel Approach for Identification and Linking of Short Quotations in Scholarly Texts and Literary Works](https://jcls.io/article/id/3590/).

# Citation
~~~
@article{arnold2023,
  author = {Frederik Arnold, Robert Jäschke},
  title = {A Novel Approach for Identification and Linking of Short Quotations in Scholarly Texts and Literary Works},
  volume = {2},
  year = {2023},
  url = {https://jcls.io/article/id/3590/},
  issue = {1},
  doi = {10.48694/jcls.3590},
  month = {1},
  publisher={Universitäts- und Landesbibliothek Darmstadt},
  journal = {Journal of Computational Literary Studies}
}
~~~