@inproceedings{rudinger-etal-2018-gender,
title = "Gender Bias in Coreference Resolution",
author = "Rudinger, Rachel and
Naradowsky, Jason and
Leonard, Brian and
Van Durme, Benjamin",
editor = "Walker, Marilyn and
Ji, Heng and
Stent, Amanda",
booktitle = "Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)",
month = jun,
year = "2018",
address = "New Orleans, Louisiana",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/N18-2002",
doi = "10.18653/v1/N18-2002",
pages = "8--14",
abstract = "We present an empirical study of gender bias in coreference resolution systems. We first introduce a novel, Winograd schema-style set of minimal pair sentences that differ only by pronoun gender. With these {``}Winogender schemas,{''} we evaluate and confirm systematic gender bias in three publicly-available coreference resolution systems, and correlate this bias with real-world and textual gender statistics.",
}
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<abstract>We present an empirical study of gender bias in coreference resolution systems. We first introduce a novel, Winograd schema-style set of minimal pair sentences that differ only by pronoun gender. With these “Winogender schemas,” we evaluate and confirm systematic gender bias in three publicly-available coreference resolution systems, and correlate this bias with real-world and textual gender statistics.</abstract>
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%0 Conference Proceedings
%T Gender Bias in Coreference Resolution
%A Rudinger, Rachel
%A Naradowsky, Jason
%A Leonard, Brian
%A Van Durme, Benjamin
%Y Walker, Marilyn
%Y Ji, Heng
%Y Stent, Amanda
%S Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F rudinger-etal-2018-gender
%X We present an empirical study of gender bias in coreference resolution systems. We first introduce a novel, Winograd schema-style set of minimal pair sentences that differ only by pronoun gender. With these “Winogender schemas,” we evaluate and confirm systematic gender bias in three publicly-available coreference resolution systems, and correlate this bias with real-world and textual gender statistics.
%R 10.18653/v1/N18-2002
%U https://aclanthology.org/N18-2002
%U https://doi.org/10.18653/v1/N18-2002
%P 8-14
Markdown (Informal)
[Gender Bias in Coreference Resolution](https://aclanthology.org/N18-2002) (Rudinger et al., NAACL 2018)
ACL
- Rachel Rudinger, Jason Naradowsky, Brian Leonard, and Benjamin Van Durme. 2018. Gender Bias in Coreference Resolution. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers), pages 8–14, New Orleans, Louisiana. Association for Computational Linguistics.