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

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

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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
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Publisher:: Tokyo University of Foreign Studies
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Pages:: 1316–1331
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URL:: https://aclanthology.org/2024.paclic-1.129/
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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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PDF:: https://aclanthology.org/2024.paclic-1.129.pdf

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@inproceedings{ge-etal-2024-comparing,
    title = "Comparing Gender Bias in Lexical Semantics and World Knowledge: Deep-learning Models Pre-trained on Historical Corpus",
    author = "Ge, Yingqiu  and
      Gu, Jinghang  and
      Huang, Chu-Ren  and
      Li, Lifu",
    editor = "Oco, Nathaniel  and
      Dita, Shirley N.  and
      Borlongan, Ariane Macalinga  and
      Kim, Jong-Bok",
    booktitle = "Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation",
    month = dec,
    year = "2024",
    address = "Tokyo, Japan",
    publisher = "Tokyo University of Foreign Studies",
    url = "https://aclanthology.org/2024.paclic-1.129/",
    pages = "1316--1331"
}

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%0 Conference Proceedings
%T Comparing Gender Bias in Lexical Semantics and World Knowledge: Deep-learning Models Pre-trained on Historical Corpus
%A Ge, Yingqiu
%A Gu, Jinghang
%A Huang, Chu-Ren
%A Li, Lifu
%Y Oco, Nathaniel
%Y Dita, Shirley N.
%Y Borlongan, Ariane Macalinga
%Y Kim, Jong-Bok
%S Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation
%D 2024
%8 December
%I Tokyo University of Foreign Studies
%C Tokyo, Japan
%F ge-etal-2024-comparing
%U https://aclanthology.org/2024.paclic-1.129/
%P 1316-1331

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Markdown (Informal)

[Comparing Gender Bias in Lexical Semantics and World Knowledge: Deep-learning Models Pre-trained on Historical Corpus](https://aclanthology.org/2024.paclic-1.129/) (Ge et al., PACLIC 2024)

Comparing Gender Bias in Lexical Semantics and World Knowledge: Deep-learning Models Pre-trained on Historical Corpus (Ge et al., PACLIC 2024)

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.