Abstract
Gender-neutral pronouns have recently been introduced in many languages to a) include non-binary people and b) as a generic singular. Recent results from psycholinguistics suggest that gender-neutral pronouns (in Swedish) are not associated with human processing difficulties. This, we show, is in sharp contrast with automated processing. We show that gender-neutral pronouns in Danish, English, and Swedish are associated with higher perplexity, more dispersed attention patterns, and worse downstream performance. We argue that such conservativity in language models may limit widespread adoption of gender-neutral pronouns and must therefore be resolved.
Originalsprog | Engelsk |
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Titel | NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics : Human Language Technologies, Proceedings of the Conference |
Forlag | Association for Computational Linguistics (ACL) |
Publikationsdato | 2022 |
Sider | 3624-3630 |
ISBN (Elektronisk) | 9781955917711 |
DOI | |
Status | Udgivet - 2022 |
Begivenhed | 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022 - Seattle, USA Varighed: 10 jul. 2022 → 15 jul. 2022 |
Konference
Konference | 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022 |
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Land/Område | USA |
By | Seattle |
Periode | 10/07/2022 → 15/07/2022 |
Sponsor | Amazon, Bloomberg, et al., Google Research, LIVE PERSON, Meta |
Bibliografisk note
Funding Information:This work was partially funded by the Platform Intelligence in News project, which is supported by Innovation Fund Denmark via the Grand Solutions program. We thank Vinit Ravishankar and Jonas Lotz for fruitful discussions and Daniel Her-shcovich and Yova Kementchedjhieva for proofreading and valuable inputs on the manuscript. We also thank Kellie Webster for her valuable input on gender-neutral pronouns.
Publisher Copyright:
© 2022 Association for Computational Linguistics.