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@@ -47,11 +47,10 @@ InLegalBERT beats LegalBERT as well as all other baselines/variants we have used
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  ### Citation
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  ```
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  @inproceedings{paul-2022-pretraining,
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- doi = {10.48550/ARXIV.2209.06049},
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  url = {https://arxiv.org/abs/2209.06049},
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  author = {Paul, Shounak and Mandal, Arpan and Goyal, Pawan and Ghosh, Saptarshi},
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  title = {Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law},
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- booktitle = {Proceedings of ICAIL 2023}
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  year = {2023},
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  }
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  ```
 
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  ### Citation
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  ```
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  @inproceedings{paul-2022-pretraining,
 
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  url = {https://arxiv.org/abs/2209.06049},
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  author = {Paul, Shounak and Mandal, Arpan and Goyal, Pawan and Ghosh, Saptarshi},
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  title = {Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law},
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+ booktitle = {Proceedings of 19th International Conference on Artificial Intelligence and Law - ICAIL 2023}
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  year = {2023},
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  }
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  ```