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@inproceedings{costa-jussa-etal-2024-overview,
  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.},
  address = {Bangkok, Thailand},
  author = {Costa juss{à}, 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{á}nchez, Eduardo},
  booktitle = {Proceedings of the 5th Workshop on Gender Bias in Natural Language Processing (GeBNLP)},
  editor = {Fale{n}ska, Agnieszka and Basta, Christine and Costa juss{à}, Marta and Goldfarb-Tarrant, Seraphina and Nozza, Debora},
  month = {08},
  pages = {399-404},
  publisher = {Association for Computational Linguistics},
  title = {Overview of the Shared Task on Machine Translation Gender Bias Evaluation with Multilingual Holistic Bias},
  url = {https://aclanthology.org/2024.gebnlp-1.26},
  year = 2024
}