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README.md
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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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```
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