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@@ -310,7 +310,7 @@ The benchmark is released under a [Attribution-NonCommercial-ShareAlike 4.0 Inte
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  [*Ilias Chalkidis, Tommaso Pasini, Sheng Zhang, Letizia Tomada, Letizia, Sebastian Felix Schwemer, Anders Søgaard.*
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  *FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing.*
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- *2022. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, Dublin, Ireland.*](https://aclanthology.org/2022.acl-long.301/)
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  ```
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  @inproceedings{chalkidis-etal-2022-fairlex,
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  author={Chalkidis, Ilias and Passini, Tommaso and Zhang, Sheng and
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  [*Ilias Chalkidis, Tommaso Pasini, Sheng Zhang, Letizia Tomada, Letizia, Sebastian Felix Schwemer, Anders Søgaard.*
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  *FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing.*
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+ *2022. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, Dublin, Ireland.*](https://arxiv.org/abs/2203.07228)
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  ```
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  @inproceedings{chalkidis-etal-2022-fairlex,
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  author={Chalkidis, Ilias and Passini, Tommaso and Zhang, Sheng and