Search Results for author: Julien Bezançon

Found 3 papers, 0 papers with code

Use of a Citizen Science Platform for the Creation of a Language Resource to Study Bias in Language Models for French: A Case Study

no code implementations NIDCP (LREC) 2022 Karën Fort, Aurélie Névéol, Yoann Dupont, Julien Bezançon

We created three tasks on the LanguageARC citizen science platform to assist with the translation of an existing resource from English into French as well as the collection of complementary resources in native French.

Fairness Translation

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

no code implementations ACL 2022 Aurélie Névéol, Yoann Dupont, Julien Bezançon, Karën Fort

We build on the US-centered CrowS-pairs dataset to create a multilingual stereotypes dataset that allows for comparability across languages while also characterizing biases that are specific to each country and language.

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