Comparing Gender Bias in Lexical Semantics and World Knowledge: Deep-learning Models Pre-trained on Historical Corpus

Yingqiu Ge, Jinghang Gu, Chu-Ren Huang, Lifu Li


Anthology ID:
2024.paclic-1.129
Volume:
Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation
Month:
December
Year:
2024
Address:
Tokyo, Japan
Editors:
Nathaniel Oco, Shirley N. Dita, Ariane Macalinga Borlongan, Jong-Bok Kim
Venue:
PACLIC
SIG:
Publisher:
Tokyo University of Foreign Studies
Note:
Pages:
1316–1331
Language:
URL:
https://preview.aclanthology.org/corrections-2025-06/2024.paclic-1.129/
DOI:
Bibkey:
Cite (ACL):
Yingqiu Ge, Jinghang Gu, Chu-Ren Huang, and Lifu Li. 2024. Comparing Gender Bias in Lexical Semantics and World Knowledge: Deep-learning Models Pre-trained on Historical Corpus. In Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation, pages 1316–1331, Tokyo, Japan. Tokyo University of Foreign Studies.
Cite (Informal):
Comparing Gender Bias in Lexical Semantics and World Knowledge: Deep-learning Models Pre-trained on Historical Corpus (Ge et al., PACLIC 2024)
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https://preview.aclanthology.org/corrections-2025-06/2024.paclic-1.129.pdf