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A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models

Xingmeng Zhao, Ali Niazi, Anthony Rios. A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models. In Kevin Duh, Helena Gómez-Adorno, Steven Bethard, editors, Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), NAACL 2024, Mexico City, Mexico, June 16-21, 2024. pages 4360-4374, Association for Computational Linguistics, 2024. [doi]

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