Theories of “Gender” in NLP Bias Research-Reference-Cited by-同舟云学术

Theories of “Gender” in NLP Bias Research

Published:2022-06-20 Issue: Volume: Page:
ISSN:
Container-title:2022 ACM Conference on Fairness, Accountability, and Transparency
language:
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Author:

Devinney Hannah¹,Björklund Jenny²,Björklund Henrik¹

Affiliation:

1. Umeå University, Sweden

2. Uppsala University, Sweden

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3531146.3534627

Reference52 articles.

1. Lauren Ackerman . 2019. Syntactic and cognitive issues in investigating gendered coreference. Glossa: a journal of general linguistics 4, 1 (oct 2019 ), 27 pages. https://doi.org/10.5334/gjgl.721 10.5334/gjgl.721 Lauren Ackerman. 2019. Syntactic and cognitive issues in investigating gendered coreference. Glossa: a journal of general linguistics 4, 1 (oct 2019), 27 pages. https://doi.org/10.5334/gjgl.721

2. Language (Technology) is Power: A Critical Survey of “Bias” in NLP

3. Tolga Bolukbasi Kai Wei Chang James Zou Venkatesh Saligrama and Adam Kalai. 2016. Man is to computer programmer as woman is to homemaker? Debiasing word embeddings. In Advances in Neural Information Processing Systems. NeurIPS Barcelona Spain 4356–4364. arxiv:1607.06520http://papers.nips.cc/paper/6228-man-is-to-computer-programmer-as-woman-is-to-homemaker-d Tolga Bolukbasi Kai Wei Chang James Zou Venkatesh Saligrama and Adam Kalai. 2016. Man is to computer programmer as woman is to homemaker? Debiasing word embeddings. In Advances in Neural Information Processing Systems. NeurIPS Barcelona Spain 4356–4364. arxiv:1607.06520http://papers.nips.cc/paper/6228-man-is-to-computer-programmer-as-woman-is-to-homemaker-d

4. Joy Buolamwini and Timnit Gebru . 2018 . Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification . In Proceedings of the 1st Conference on Fairness, Accountability and Transparency(Proceedings of Machine Learning Research, Vol. 81) , Sorelle A. Friedler and Christo Wilson (Eds.). PMLR, New York, New York, USA, 77–91. https://proceedings.mlr.press/v81/buolamwini18a.html Joy Buolamwini and Timnit Gebru. 2018. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. In Proceedings of the 1st Conference on Fairness, Accountability and Transparency(Proceedings of Machine Learning Research, Vol. 81), Sorelle A. Friedler and Christo Wilson (Eds.). PMLR, New York, New York, USA, 77–91. https://proceedings.mlr.press/v81/buolamwini18a.html

5. Judith Butler. 1999. Gender Trouble. Routledge New York. Judith Butler. 1999. Gender Trouble. Routledge New York.

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