@inproceedings{costa-jussa-etal-2024-overview,
title = "Overview of the Shared Task on Machine Translation Gender Bias Evaluation with Multilingual Holistic Bias",
author = "Costa-juss{\`a}, Marta and
Andrews, Pierre and
Basta, Christine and
Ciro, Juan and
Falenska, Agnieszka and
Goldfarb-Tarrant, Seraphina and
Mosquera, Rafael and
Nozza, Debora and
S{\'a}nchez, Eduardo",
editor = "Fale{\'n}ska, Agnieszka and
Basta, Christine and
Costa-juss{\`a}, Marta and
Goldfarb-Tarrant, Seraphina and
Nozza, Debora",
booktitle = "Proceedings of the 5th Workshop on Gender Bias in Natural Language Processing (GeBNLP)",
month = aug,
year = "2024",
address = "Bangkok, Thailand",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.gebnlp-1.26",
pages = "399--404",
abstract = "We describe the details of the Shared Task of the 5th ACL Workshop on Gender Bias in Natural Language Processing (GeBNLP 2024). The task uses dataset to investigate the quality of Machine Translation systems on a particular case of gender robustness. We report baseline results as well as the results of the first participants. The shared task will be permanently available in the Dynabench platform.",
}
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%0 Conference Proceedings
%T Overview of the Shared Task on Machine Translation Gender Bias Evaluation with Multilingual Holistic Bias
%A Costa-jussà, Marta
%A Andrews, Pierre
%A Basta, Christine
%A Ciro, Juan
%A Falenska, Agnieszka
%A Goldfarb-Tarrant, Seraphina
%A Mosquera, Rafael
%A Nozza, Debora
%A Sánchez, Eduardo
%Y Faleńska, Agnieszka
%Y Basta, Christine
%Y Costa-jussà, Marta
%Y Goldfarb-Tarrant, Seraphina
%Y Nozza, Debora
%S Proceedings of the 5th Workshop on Gender Bias in Natural Language Processing (GeBNLP)
%D 2024
%8 August
%I Association for Computational Linguistics
%C Bangkok, Thailand
%F costa-jussa-etal-2024-overview
%X We describe the details of the Shared Task of the 5th ACL Workshop on Gender Bias in Natural Language Processing (GeBNLP 2024). The task uses dataset to investigate the quality of Machine Translation systems on a particular case of gender robustness. We report baseline results as well as the results of the first participants. The shared task will be permanently available in the Dynabench platform.
%U https://aclanthology.org/2024.gebnlp-1.26
%P 399-404
Markdown (Informal)
[Overview of the Shared Task on Machine Translation Gender Bias Evaluation with Multilingual Holistic Bias](https://aclanthology.org/2024.gebnlp-1.26) (Costa-jussà et al., GeBNLP-WS 2024)
ACL
- Marta Costa-jussà, Pierre Andrews, Christine Basta, Juan Ciro, Agnieszka Falenska, Seraphina Goldfarb-Tarrant, Rafael Mosquera, Debora Nozza, and Eduardo Sánchez. 2024. Overview of the Shared Task on Machine Translation Gender Bias Evaluation with Multilingual Holistic Bias. In Proceedings of the 5th Workshop on Gender Bias in Natural Language Processing (GeBNLP), pages 399–404, Bangkok, Thailand. Association for Computational Linguistics.