Link to paper

README.md

@@ -83,11 +83,23 @@ size_categories:
 
 Training and test data for the task of Recognizing Semantic Differences (RSD).
 
-See the paper [TBA] for details on how the dataset was created, and see our code at https://github.com/ZurichNLP/recognizing-semantic-differences for an example of how to use the data for evaluation.
+[See the paper](https://doi.org/10.48550/arXiv.2305.13303) for details on how the dataset was created, and see our code at https://github.com/ZurichNLP/recognizing-semantic-differences for an example of how to use the data for evaluation.
 
 The data are derived from the [SemEval-2016 Task 2 for Interpretable Semantic Textual Similarity](https://alt.qcri.org/semeval2016/task2/) organized by [Agirre et al. (2016)](http://dx.doi.org/10.18653/v1/S16-1082).
 The original URLs of the data are:
 * Train: http://alt.qcri.org/semeval2016/task2/data/uploads/train_2015_10_22.utf-8.tar.gz
 * Test: http://alt.qcri.org/semeval2016/task2/data/uploads/test_goldstandard.tar.gz
 
-The translations into non-English languages have been created using machine translation (DeepL).
+The translations into non-English languages have been created using machine translation (DeepL).
+
+## Citation
+```bibtex
+@article{vamvas-sennrich-2023-rsd,
+      title={Towards Unsupervised Recognition of Semantic Differences in Related Documents},
+      author={Jannis Vamvas and Rico Sennrich},
+      year={2023},
+      eprint={2305.13303},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```