FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing

Research output: Contribution to journalConference articleResearchpeer-review

Standard

FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing. / Chalkidis, Ilias; Pasini, Tommaso; Zhang, Sheng ; Tomada, Letizia; Schwemer, Sebastian Felix; Søgaard, Anders.

In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), Vol. 1, 2022, p. 4389-4406.

Research output: Contribution to journalConference articleResearchpeer-review

Harvard

Chalkidis, I, Pasini, T, Zhang, S, Tomada, L, Schwemer, SF & Søgaard, A 2022, 'FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing', Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), vol. 1, pp. 4389-4406. https://doi.org/10.18653/v1/2022.acl-long.301

APA

Chalkidis, I., Pasini, T., Zhang, S., Tomada, L., Schwemer, S. F., & Søgaard, A. (2022). FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), 1, 4389-4406. https://doi.org/10.18653/v1/2022.acl-long.301

Vancouver

Chalkidis I, Pasini T, Zhang S, Tomada L, Schwemer SF, Søgaard A. FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022). 2022;1:4389-4406. https://doi.org/10.18653/v1/2022.acl-long.301

Author

Chalkidis, Ilias ; Pasini, Tommaso ; Zhang, Sheng ; Tomada, Letizia ; Schwemer, Sebastian Felix ; Søgaard, Anders. / FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing. In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022). 2022 ; Vol. 1. pp. 4389-4406.

Bibtex

@inproceedings{bf9e4af208c14e18b00622880a1880f2,
title = "FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing",
author = "Ilias Chalkidis and Tommaso Pasini and Sheng Zhang and Letizia Tomada and Schwemer, {Sebastian Felix} and Anders S{\o}gaard",
year = "2022",
doi = "10.18653/v1/2022.acl-long.301",
language = "English",
volume = "1",
pages = "4389--4406",
journal = "Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022)",

}

RIS

TY - GEN

T1 - FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing

AU - Chalkidis, Ilias

AU - Pasini, Tommaso

AU - Zhang, Sheng

AU - Tomada, Letizia

AU - Schwemer, Sebastian Felix

AU - Søgaard, Anders

PY - 2022

Y1 - 2022

U2 - 10.18653/v1/2022.acl-long.301

DO - 10.18653/v1/2022.acl-long.301

M3 - Conference article

VL - 1

SP - 4389

EP - 4406

JO - Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022)

JF - Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022)

ER -

ID: 317471513