Update README.md

README.md

@@ -48,9 +48,18 @@ This metric outputs a dictionary, containing the negBLEURT score.
 This metric is based on BERT (Devlin et al. 2018) and as such inherits its biases and weaknesses. It was trained in an negation aware setting, and thus, overcomes BERT issues with negation awareness.
 
 Currently, NegBLEURT is only available in English.
-## Citation(s)
+## Citation
+Please cite our [INLG 2023 paper](https://arxiv.org/abs/2307.13989), if you use our metric. 
+**BibTeX:**
 ```bibtex
-tba
+@misc{anschütz2023correct,
+      title={This is not correct! Negation-aware Evaluation of Language Generation Systems}, 
+      author={Miriam Anschütz and Diego Miguel Lozano and Georg Groh},
+      year={2023},
+      eprint={2307.13989},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
 ```
 ## Further References
 - The original [NegBLEURT GitHub repo](https://github.com/MiriUll/negation_aware_evaluation)