Update README.md

README.md

@@ -20,18 +20,15 @@ The model also uses a custom domain-specific legal vocabulary. The vocabulary se
 Please see the [casehold repository](https://github.com/reglab/casehold) for scripts that support computing pretrain loss and finetuning on Custom Legal-BERT for classification and multiple choice tasks described in the paper: Overruling, Terms of Service, CaseHOLD.
 
 ### 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)
-}
-```
+    @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}
+    }
 
 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).