Gender Bias in Italian Word Embeddings
p. 58-65
Résumé
In this work we study gender bias in Italian word embeddings (WEs), evaluating whether they encode gender stereotypes studied in social psychology or present in the labor market. We find strong associations with gender in job-related WEs. Weaker gender stereotypes are present in other domains where grammatical gender plays a significant role.
Note de l’éditeur
Copyright 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
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Solon Barocas, Kate Crawford, Aaron Shapiro, and Hanna Wallach. 2017. “The Problem with Bias: Allocative Versus Representational Harms in Machine Learning.” In 9th Annual Conference of the Special Interest Group for Computing, Information and Society.
Giacomo Berardi, Andrea Esuli, and Diego Marcheggiani. 2015. “Word Embeddings Go to Italy: A Comparison of Models and Training Datasets.” In IIR.
Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2017. “Enriching Word Vectors with Subword Information.” Transactions of the Association for Computational Linguistics 5: 135–46.
Tolga Bolukbasi, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, and Adam T. Kalai. 2016. “Man Is to Computer Programmer as Woman Is to Homemaker? Debiasing Word Embeddings.” In Advances in Neural Information Processing Systems, 4349–57.
Aylin Caliskan, Joanna J. Bryson, and Arvind Narayanan. 2017. “Semantics Derived Automatically from Language Corpora Contain Human-Like Biases.” Science 356 (6334): 183–86.
Census Bureau. 2019. “Current Population Survey: U.S. Bureau of Labor Statistics.” https://www.bls.gov/cps/cpsa2019.pdf.
Maria De-Arteaga, Alexey Romanov, Hanna Wallach, Jennifer Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Geyik, Krishnaram Kenthapadi, and Adam Tauman Kalai. 2019. “Bias in Bios.” Proceedings of the Conference on Fairness, Accountability, and Transparency - FAT* ’19.
Naomi Ellemers. 2018. “Gender Stereotypes.” Annual Review of Psychology 69 (1): 275–98.
10.1146/annurev-psych-122216-011719 :Kawin Ethayarajh, David Duvenaud, and Graeme Hirst. 2019. “Understanding Undesirable Word Embedding Associations.” In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 1696–1705. Florence, Italy: Association for Computational Linguistics.
10.18653/v1/P19-1 :Alessandro Fabris, Alberto Purpura, Gianmaria Silvello, and Gian Antonio Susto. 2020. “Gender Stereotype Reinforcement: Measuring the Gender Bias Conveyed by Ranking Algorithms.” Information Processing & Management 57 (6): 102377.
Nikhil Garg, Londa Schiebinger, Dan Jurafsky, and James Zou. 2018. “Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes.” Proceedings of the National Academy of Sciences 115 (16): E3635–E3644.
Hila Gonen, Yova Kementchedjhieva, and Yoav Goldberg. 2019. “How Does Grammatical Gender Affect Noun Representations in Gender-Marking Languages?” In Proceedings of the 23rd Conference on Computational Natural Language Learning (Conll), 463–71.
Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, and Tomas Mikolov. 2018. “Learning Word Vectors for 157 Languages.” In Proceedings of the International Conference on Language Resources and Evaluation (Lrec 2018).
Anthony G. Greenwald, Debbie E. McGhee, and Jordan L. K. Schwartz. 1998. “Measuring Individual Differences in Implicit Cognition: The Implicit Association Test.” Journal of Personality and Social Psychology 74 (6): 1464–80.
Zellig S. Harris. 1954. “Distributional Structure.” Word 10 (2-3): 146–62.
Matthew Kay, Cynthia Matuszek, and Sean A Munson. 2015. “Unequal Representation and Gender Stereotypes in Image Search Results for Occupations.” In Proceedings of the 33rd Annual Acm Conference on Human Factors in Computing Systems, 3819–28. ACM.
10.1145/2702123 :Katherine McCurdy, and Oguz Serbetci. 2020. “Grammatical Gender Associations Outweigh Topical Gender Bias in Crosslinguistic Word Embeddings.” arXiv Preprint arXiv:2005.08864.
Safiya Umoja Noble. 2018. Algorithms of Oppression: How Search Engines Reinforce Racism. nyu Press.
Alexandra Olteanu, Fernando Diaz, and Gabriella Kazai. 2020. “When Are Search Completion Suggestions Problematic?” In Computer Supported Collaborative Work and Social Computing (Cscw). ACM.
10.1145/3415242 :Flavien Prost, Nithum Thain, and Tolga Bolukbasi. 2019. “Debiasing Embeddings for Reduced Gender Bias in Text Classification.” Proceedings of the First Workshop on Gender Bias in Natural Language Processing.
Rocco Tripodi, and Stefano Li Pira. 2017. “Analysis of Italian Word Embeddings.” In CLiC-It.
10.4000/books.aaccademia.2314 :Notes de bas de page
1 The authors provide no information about which Wikipedia dump they use.
2 Common Crawl is a corpus of web pages, aimed at representing “a copy of the internet” at a given time. The authors train WEs on pages written in Italian, exploiting language identification as preliminary step for their pipeline.
3 The detailed list of sources is available upon request.
4 https://implicit.harvard.edu/implicit/italy/takeatest.html
5 For the sake of brevity, we concentrate on gpca; the remaining gender directions
) yield similar results.
6 In this experiment, the grammatical gender subspace U is spanned by the first PC.
Auteurs
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Davide Biasion
Università degli Studi di Padova – biasiondav@dei.unipd.it
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Alessandro Fabris
Università degli Studi di Padova – fabrisal@dei.unipd.it
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Gianmaria Silvello
Università degli Studi di Padova – silvello@dei.unipd.it
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Gian Antonio Susto
Università degli Studi di Padova – sustogia@dei.unipd.it
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