How Conservative are Language Models? Adapting to the Introduction of Gender-Neutral Pronouns

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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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.

OriginalsprogEngelsk
TitelNAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics : Human Language Technologies, Proceedings of the Conference
ForlagAssociation for Computational Linguistics (ACL)
Publikationsdato2022
Sider3624-3630
ISBN (Elektronisk)9781955917711
DOI
StatusUdgivet - 2022
Begivenhed2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022 - Seattle, USA
Varighed: 10 jul. 202215 jul. 2022

Konference

Konference2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022
LandUSA
BySeattle
Periode10/07/202215/07/2022
SponsorAmazon, 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.

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