• Contenu principal
  • Menu
OpenEdition Books
  • Accueil
  • Catalogue de 16071 livres
  • Éditeurs
  • Auteurs
  • Facebook
  • X
  • Partager
    • Facebook

    • X

    • Accueil
    • Catalogue de 16071 livres
    • Éditeurs
    • Auteurs
  • Ressources numériques en sciences humaines et sociales

    • OpenEdition
  • Nos plateformes

    • OpenEdition Books
    • OpenEdition Journals
    • Hypothèses
    • Calenda
  • Bibliothèques

    • OpenEdition Freemium
  • Suivez-nous

  • Lettre d’information
OpenEdition Search

Redirection vers OpenEdition Search.

À quel endroit ?
  • Accademia University Press
  • ›
  • Collana dell'Associazione Italiana di Li...
  • ›
  • Proceedings of the Seventh Italian Confe...
  • ›
  • Contributed Papers
  • ›
  • Gender Bias in Italian Word Embeddings
  • Accademia University Press
  • Accademia University Press
    Accademia University Press
    Informations sur la couverture
    Table des matières
    Liens vers le livre
    Informations sur la couverture
    Table des matières
    Formats de lecture

    Plan

    Plan détaillé Texte intégral 1. Introduction 2. Related work 3. Gender in Italian WEs 4. Datasets and embeddings 5. Experiments 6. Discussion 7. Conlusion Bibliographie Notes de bas de page Auteurs

    Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020

    Ce livre est recensé par

    Précédent Suivant
    Table des matières

    Gender Bias in Italian Word Embeddings

    Davide Biasion, Alessandro Fabris, Gianmaria Silvello et Gian Antonio Susto

    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).

    Texte intégral Bibliographie Notes de bas de page Auteurs

    Texte intégral

    Bibliographie

    Des DOI sont automatiquement ajoutés aux références bibliographiques par Bilbo, l’outil d’annotation bibliographique d’OpenEdition. Ces références bibliographiques peuvent être téléchargées dans les formats APA, Chicago et MLA.

    Format

    • APA
    • Chicago
    • MLA
    Ellemers, N. (2018). Gender Stereotypes. Annual Reviews. https://doi.org/10.1146/annurev-psych-122216-011719
    Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. (2019). Presented at the Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. https://doi.org/10.18653/v1/p19-1
    Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. (2015). Presented at the CHI ’15: CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/2702123
    Olteanu, A., Diaz, F., & Kazai, G. (2020). When Are Search Completion Suggestions Problematic?. Association for Computing Machinery (ACM). https://doi.org/10.1145/3415242
    Basili, R., Nissim, M., & Satta, G. (Eds.). (2017). Proceedings of the Fourth Italian Conference on Computational Linguistics CLiC-it 2017. Accademia University Press. https://doi.org/10.4000/books.aaccademia.2314
    Ellemers, Naomi. “Gender Stereotypes”. Annual Review of Psychology. Annual Reviews, January 4, 2018. doi:10.1146/annurev-psych-122216-011719.
    “Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics”. []. Association for Computational Linguistics, 2019. doi:10.18653/v1/p19-1.
    “Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems”. []. ACM, April 18, 2015. doi:10.1145/2702123.
    Olteanu, Alexandra, Fernando Diaz, and Gabriella Kazai. “When Are Search Completion Suggestions Problematic?”. Proceedings of the ACM on Human-Computer Interaction. Association for Computing Machinery (ACM), October 14, 2020. doi:10.1145/3415242.
    Basili, Roberto, Malvina Nissim, and Giorgio Satta, eds. Proceedings of the Fourth Italian Conference on Computational Linguistics CLiC-It 2017. []. Accademia University Press, 2017. doi:10.4000/books.aaccademia.2314.
    Ellemers, Naomi. “Gender Stereotypes”. Annual Review of Psychology, vols. 69, no. 1, Annual Reviews, 4 Jan. 2018, pp. 275-98. Crossref, https://doi.org/10.1146/annurev-psych-122216-011719.
    Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. [], Association for Computational Linguistics, 2019. Crossref, https://doi.org/10.18653/v1/p19-1.
    Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. [], ACM, 18 Apr. 2015. Crossref, https://doi.org/10.1145/2702123.
    Olteanu, Alexandra, et al. “When Are Search Completion Suggestions Problematic?”. Proceedings of the ACM on Human-Computer Interaction, vols. 4, no. CSCW2, Association for Computing Machinery (ACM), 14 Oct. 2020, pp. 1-25. Crossref, https://doi.org/10.1145/3415242.
    Basili, Roberto, et al., editors. Proceedings of the Fourth Italian Conference on Computational Linguistics CLiC-It 2017. [], Accademia University Press, 2017. Crossref, https://doi.org/10.4000/books.aaccademia.2314.

    Cette bibliographie a été enrichie de toutes les références bibliographiques automatiquement générées par Bilbo en utilisant Crossref.

    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

    • Davide Biasion

      Università degli Studi di Padova – biasiondav@dei.unipd.it

    • Alessandro Fabris

      Università degli Studi di Padova – fabrisal@dei.unipd.it

    • Gianmaria Silvello

      Università degli Studi di Padova – silvello@dei.unipd.it

    • Gian Antonio Susto

      Università degli Studi di Padova – sustogia@dei.unipd.it

    Précédent Suivant
    Table des matières

    Le texte seul est utilisable sous licence Licence OpenEdition Books. Les autres éléments (illustrations, fichiers annexes importés) sont « Tous droits réservés », sauf mention contraire.

    Voir plus de livres
    Proceedings of the Second Italian Conference on Computational Linguistics CLiC-it 2015

    Proceedings of the Second Italian Conference on Computational Linguistics CLiC-it 2015

    3-4 December 2015, Trento

    Cristina Bosco, Sara Tonelli et Fabio Massimo Zanzotto (dir.)

    2015

    Proceedings of the Third Italian Conference on Computational Linguistics CLiC-it 2016

    Proceedings of the Third Italian Conference on Computational Linguistics CLiC-it 2016

    5-6 December 2016, Napoli

    Anna Corazza, Simonetta Montemagni et Giovanni Semeraro (dir.)

    2016

    EVALITA. Evaluation of NLP and Speech Tools for Italian

    EVALITA. Evaluation of NLP and Speech Tools for Italian

    Proceedings of the Final Workshop 7 December 2016, Naples

    Pierpaolo Basile, Franco Cutugno, Malvina Nissim et al. (dir.)

    2016

    Proceedings of the Fourth Italian Conference on Computational Linguistics CLiC-it 2017

    Proceedings of the Fourth Italian Conference on Computational Linguistics CLiC-it 2017

    11-12 December 2017, Rome

    Roberto Basili, Malvina Nissim et Giorgio Satta (dir.)

    2017

    Proceedings of the Fifth Italian Conference on Computational Linguistics CLiC-it 2018

    Proceedings of the Fifth Italian Conference on Computational Linguistics CLiC-it 2018

    10-12 December 2018, Torino

    Elena Cabrio, Alessandro Mazzei et Fabio Tamburini (dir.)

    2018

    EVALITA Evaluation of NLP and Speech Tools for Italian

    EVALITA Evaluation of NLP and Speech Tools for Italian

    Proceedings of the Final Workshop 12-13 December 2018, Naples

    Tommaso Caselli, Nicole Novielli, Viviana Patti et al. (dir.)

    2018

    EVALITA Evaluation of NLP and Speech Tools for Italian - December 17th, 2020

    EVALITA Evaluation of NLP and Speech Tools for Italian - December 17th, 2020

    Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian Final Workshop

    Valerio Basile, Danilo Croce, Maria Maro et al. (dir.)

    2020

    Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020

    Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020

    Bologna, Italy, March 1-3, 2021

    Felice Dell'Orletta, Johanna Monti et Fabio Tamburini (dir.)

    2020

    Proceedings of the Eighth Italian Conference on Computational Linguistics CliC-it 2021

    Proceedings of the Eighth Italian Conference on Computational Linguistics CliC-it 2021

    Milan, Italy, 26-28 January, 2022

    Elisabetta Fersini, Marco Passarotti et Viviana Patti (dir.)

    2022

    Voir plus de livres
    1 / 9
    Proceedings of the Second Italian Conference on Computational Linguistics CLiC-it 2015

    Proceedings of the Second Italian Conference on Computational Linguistics CLiC-it 2015

    3-4 December 2015, Trento

    Cristina Bosco, Sara Tonelli et Fabio Massimo Zanzotto (dir.)

    2015

    Proceedings of the Third Italian Conference on Computational Linguistics CLiC-it 2016

    Proceedings of the Third Italian Conference on Computational Linguistics CLiC-it 2016

    5-6 December 2016, Napoli

    Anna Corazza, Simonetta Montemagni et Giovanni Semeraro (dir.)

    2016

    EVALITA. Evaluation of NLP and Speech Tools for Italian

    EVALITA. Evaluation of NLP and Speech Tools for Italian

    Proceedings of the Final Workshop 7 December 2016, Naples

    Pierpaolo Basile, Franco Cutugno, Malvina Nissim et al. (dir.)

    2016

    Proceedings of the Fourth Italian Conference on Computational Linguistics CLiC-it 2017

    Proceedings of the Fourth Italian Conference on Computational Linguistics CLiC-it 2017

    11-12 December 2017, Rome

    Roberto Basili, Malvina Nissim et Giorgio Satta (dir.)

    2017

    Proceedings of the Fifth Italian Conference on Computational Linguistics CLiC-it 2018

    Proceedings of the Fifth Italian Conference on Computational Linguistics CLiC-it 2018

    10-12 December 2018, Torino

    Elena Cabrio, Alessandro Mazzei et Fabio Tamburini (dir.)

    2018

    EVALITA Evaluation of NLP and Speech Tools for Italian

    EVALITA Evaluation of NLP and Speech Tools for Italian

    Proceedings of the Final Workshop 12-13 December 2018, Naples

    Tommaso Caselli, Nicole Novielli, Viviana Patti et al. (dir.)

    2018

    EVALITA Evaluation of NLP and Speech Tools for Italian - December 17th, 2020

    EVALITA Evaluation of NLP and Speech Tools for Italian - December 17th, 2020

    Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian Final Workshop

    Valerio Basile, Danilo Croce, Maria Maro et al. (dir.)

    2020

    Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020

    Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020

    Bologna, Italy, March 1-3, 2021

    Felice Dell'Orletta, Johanna Monti et Fabio Tamburini (dir.)

    2020

    Proceedings of the Eighth Italian Conference on Computational Linguistics CliC-it 2021

    Proceedings of the Eighth Italian Conference on Computational Linguistics CliC-it 2021

    Milan, Italy, 26-28 January, 2022

    Elisabetta Fersini, Marco Passarotti et Viviana Patti (dir.)

    2022

    Voir plus de chapitres

    IR Scientific Data: How to Semantically Represent and Enrich Them

    Toine Bogers, Georgeta Bordea, Paul Buitelaar et al.

    Voir plus de chapitres

    IR Scientific Data: How to Semantically Represent and Enrich Them

    Toine Bogers, Georgeta Bordea, Paul Buitelaar et al.

    Accès ouvert

    Accès ouvert

    ePub

    PDF

    PDF du chapitre

    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.

    Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020

    X Facebook Email

    Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020

    Ce livre est cité par

    • Miaschi, Alessio. Alzetta, Chiara. Brunato, Dominique. Dell’Orletta, Felice. Venturi, Giulia. (2023) Testing the Effectiveness of the Diagnostic Probing Paradigm on Italian Treebanks. Information, 14. DOI: 10.3390/info14030144
    • Miaschi, Alessio. Sarti, Gabriele. Brunato, Dominique. Dell’Orletta, Felice. Venturi, Giulia. (2022) Probing Linguistic Knowledge in Italian Neural Language Models across Language Varieties. Italian Journal of Computational Linguistics, 8. DOI: 10.4000/ijcol.965
    • Saga, Satoshi. Shirakawa, Kanta. (2025) Investigating the Effect of Pseudo-Haptics on Perceptions Toward Onomatopoeia Text During Finger-Point Tracing. Multimodal Technologies and Interaction, 9. DOI: 10.3390/mti9100100
    • (2025) Book reviews. Yearbook of Phraseology, 16. DOI: 10.1515/phras-2025-0012

    Ce chapitre est cité par

    • Active Learning Methodology in LLMs Fine-Tuning(2024) . DOI: 10.1109/CSR61664.2024.10679450
    • Kurpicz-Briki, Mascha. Leoni, Tomaso. (2021) A World Full of Stereotypes? Further Investigation on Origin and Gender Bias in Multi-Lingual Word Embeddings. Frontiers in Big Data, 4. DOI: 10.3389/fdata.2021.625290
    • Azzalini, Monia. (2025) Challenging implicit gender stereotypes in Italian news through language. Journalism. DOI: 10.1177/14648849251371940
    • Amini, Afra. Pimentel, Tiago. Meister, Clara. Cotterell, Ryan. (2023) Naturalistic Causal Probing for Morpho-Syntax. Transactions of the Association for Computational Linguistics, 11. DOI: 10.1162/tacl_a_00554

    Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020

    Vous pouvez vous connecter à votre bibliothèque à l’adresse suivante : https://freemium.openedition.org/oebooks

    Suggérer l’acquisition à votre bibliothèque

    Si vous avez des questions, vous pouvez nous écrire à access[at]openedition.org

    Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020

    Vérifiez si votre bibliothèque a déjà acquis ce livre : authentifiez-vous à OpenEdition Freemium for Books.

    Vous pouvez suggérer à votre bibliothèque d’acquérir un ou plusieurs livres publiés sur OpenEdition Books. N’hésitez pas à lui indiquer nos coordonnées : access[at]openedition.org

    Vous pouvez également nous indiquer, à l’aide du formulaire suivant, les coordonnées de votre bibliothèque afin que nous la contactions pour lui suggérer l’achat de ce livre. Les champs suivis de (*) sont obligatoires.

    Veuillez, s’il vous plaît, remplir tous les champs.

    La syntaxe de l’email est incorrecte.

    Référence numérique du chapitre

    Format

    Biasion, D., Fabris, A., Silvello, G., & Susto, G. A. (2020). Gender Bias in Italian Word Embeddings. In F. Dell’Orletta, J. Monti, & F. Tamburini (éds.), Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020. Torino: Accademia University Press. https://doi.org/10.4000/books.aaccademia.8280
    Biasion, Davide, Alessandro Fabris, Gianmaria Silvello, et Gian Antonio Susto. « Gender Bias in Italian Word Embeddings ». In Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-It 2020, édité par Felice Dell’Orletta, Johanna Monti, et Fabio Tamburini. Torino: Accademia University Press, 2020. doi:10.4000/books.aaccademia.8280.
    Biasion, Davide, et al. « Gender Bias in Italian Word Embeddings ». Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-It 2020, édité par Felice Dell’Orletta et al., Accademia University Press, 2020, https://doi.org/10.4000/books.aaccademia.8280.

    Référence numérique du livre

    Format

    Dell’Orletta, F., Monti, J., & Tamburini, F. (éds.). (2020). Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020. Torino: Accademia University Press. https://doi.org/10.4000/books.aaccademia.8203
    Dell’Orletta, Felice, Johanna Monti, et Fabio Tamburini, éd. Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-It 2020. Torino: Accademia University Press, 2020. doi:10.4000/books.aaccademia.8203.
    Dell’Orletta, Felice, et al., éditeurs. Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-It 2020. Accademia University Press, 2020, https://doi.org/10.4000/books.aaccademia.8203.
    Compatible avec Zotero Zotero

    1 / 3

    Accademia University Press

    Accademia University Press

    • Plan du site
    • Se connecter

    Suivez-nous

    • Facebook
    • Flux RSS

    URL : http://www.aaccademia.it/

    Email : info@aaccademia.it

    Adresse :

    Accademia University Press

    Via Carlo Alberto 55

    I‐10123

    Torino

    Italia

    OpenEdition
    • Candidater à OpenEdition Books
    • Connaître le programme OpenEdition Freemium
    • Commander des livres
    • S’abonner à la lettre d’OpenEdition
    • CGU d’OpenEdition Books
    • Accessibilité : partiellement conforme
    • Données personnelles
    • Gestion des cookies
    • Système de signalement