Julien Bezançon — accepted AI-conference papers

2024

Your Stereotypical Mileage May Vary: Practical Challenges of Evaluating Biases in Multiple Languages and Cultural Contexts

Karen Fort, Laura Alonso Alemany, Luciana Benotti, Julien Bezançon, Claudia Borg, Marthese Borg +17

COLING 2024main

Warning: This paper contains explicit statements of offensive stereotypes which may be upsetting The study of bias, fairness and social impact in Natural Language Processing (NLP) lacks resources in languages other than English. Our objective is to support the evaluation of bias in language models i…

Cited by 8 Source ↗PDF ↗Scholar ↗

2022

French CrowS-Pairs: Extending a challenge dataset for measuring social bias in masked language models to a language other than English

Aurélie Névéol, Yoann Dupont, Julien Bezançon, Karën Fort

ACL 2022long

Warning: This paper contains explicit statements of offensive stereotypes which may be upsetting. Much work on biases in natural language processing has addressed biases linked to the social and cultural experience of English speaking individuals in the United States. We seek to widen the scope of b…

Cited by 88 Source ↗PDF ↗Scholar ↗