Update README.md

README.md

@@ -22,16 +22,15 @@ Please see the [casehold repository](https://github.com/reglab/casehold) for scr
 See `demo.ipynb` in the casehold repository for details on calculating domain specificity (DS) scores for tasks or task examples by taking the difference in pretrain loss on BERT (double) and Legal-BERT. DS score may be readily extended to estimate domain specificity of tasks in other domains using BERT (double) and existing pretrained models (e.g., [SciBERT](https://arxiv.org/abs/1903.10676)).
 
 ### Citation
-	@inproceedings{zhengguha2021,
-		title={When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset},
-		author={Lucia Zheng and Neel Guha and Brandon R. Anderson and Peter Henderson and Daniel E. Ho},
-		year={2021},
-		eprint={2104.08671},
-		archivePrefix={arXiv},
-		primaryClass={cs.CL},
-		booktitle={Proceedings of the 18th International Conference on Artificial Intelligence and Law},
-		publisher={Association for Computing Machinery},
-		note={(in press)}
-	}
+\t@inproceedings{zhengguha2021,
+\t\ttitle={When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset},
+\t\tauthor={Lucia Zheng and Neel Guha and Brandon R. Anderson and Peter Henderson and Daniel E. Ho},
+\t\tyear={2021},
+\t\teprint={2104.08671},
+\t\tarchivePrefix={arXiv},
+\t\tprimaryClass={cs.CL},
+\t\tbooktitle={Proceedings of the 18th International Conference on Artificial Intelligence and Law},
+\t\tpublisher={Association for Computing Machinery}
+\t}
 
 Lucia Zheng, Neel Guha, Brandon R. Anderson, Peter Henderson, and Daniel E. Ho. 2021. When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset. In *Proceedings of the 18th International Conference on Artificial Intelligence and Law (ICAIL '21)*, June 21-25, 2021, São Paulo, Brazil. ACM Inc., New York, NY, (in press). arXiv: [2104.08671 [cs.CL]](https://arxiv.org/abs/2104.08671).