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README.md
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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://
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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
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