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@@ -195,32 +195,13 @@ We mainly focus on U.S. and English-speaking legal sources, though we include so
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  For a citation to this work:
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  ```
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- TODO:
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- ```
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-
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- Since this dataset also includes several other curations, if you cite this work please also cite:
 
 
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  ```
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- # EurLex
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-
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- @inproceedings{chalkidis-etal-2019-large,
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- title = "Large-Scale Multi-Label Text Classification on {EU} Legislation",
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- author = "Chalkidis, Ilias and Fergadiotis, Manos and Malakasiotis, Prodromos and Androutsopoulos, Ion",
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- booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
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- year = "2019",
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- address = "Florence, Italy",
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- publisher = "Association for Computational Linguistics",
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- url = "https://www.aclweb.org/anthology/P19-1636",
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- doi = "10.18653/v1/P19-1636",
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- pages = "6314--6322"
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- }
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- # BVA
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- @inproceedings{huang2021context,
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- title={Context-aware legal citation recommendation using deep learning},
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- author={Huang, Zihan and Low, Charles and Teng, Mengqiu and Zhang, Hongyi and Ho, Daniel E and Krass, Mark S and Grabmair, Matthias},
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- booktitle={Proceedings of the Eighteenth International Conference on Artificial Intelligence and Law},
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- pages={79--88},
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- year={2021}
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- }
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- ```
 
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  For a citation to this work:
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  ```
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+ @article{hendersonkrass2022pileoflaw,
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+ title={Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset},
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+ author={Henderson*, Peter and Krass*, Mark and Zheng, Lucia and Guha, Neel and Manning, Christopher and Jurafsky, Dan and Ho, Daniel E},
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+ journal={arXiv preprint arXiv:2204.11910},
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+ year={2022}
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+ }
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ Since this dataset also includes several other data sources with citations, please refer to our paper and cite the additional relevant work in addition to our own work.