Papers by Julien Bezançon
French CrowS-Pairs: Extending a challenge dataset for measuring social bias in masked language models to a language other than English (2022.acl-long)
Copied to clipboard
| Challenge: | We introduce 1,679 sentence pairs in French that cover stereotypes in ten types of bias like gender and age. |
| Approach: | They build on the US-centered CrowS-pairs dataset to create a multilingual stereotypes dataset that allows for comparability across languages and cultures. |
| Outcome: | The proposed dataset allows for comparability across languages while characterizing biases that are specific to each country and language. |
Your Stereotypical Mileage May Vary: Practical Challenges of Evaluating Biases in Multiple Languages and Cultural Contexts (2024.lrec-main)
Copied to clipboard
Karen Fort, Laura Alonso Alemany, Luciana Benotti, Julien Bezançon, Claudia Borg, Marthese Borg, Yongjian Chen, Fanny Ducel, Yoann Dupont, Guido Ivetta, Zhijian Li, Margot Mieskes, Marco Naguib, Yuyan Qian, Matteo Radaelli, Wolfgang S. Schmeisser-Nieto, Emma Raimundo Schulz, Thiziri Saci, Sarah Saidi, Javier Torroba Marchante, Shilin Xie, Sergio E. Zanotto, Aurélie Névéol
| Challenge: | Recent studies have identified a gap in the availability of tools and resources to study bias in languages other than English and social contexts outside the north of America. |
| Approach: | They use stereotypes to build a corpus of sentence pairs that cover biases in seven cultural contexts. |
| Outcome: | The proposed resource covers a wide range of languages and cultural settings . it favors sentences that express stereotypes in most bias categories . |
For a Fistful of Puns: Evaluating a Puns in Multiword Expressions Identification Algorithm Without Dedicated Dataset (2025.findings-emnlp)
Copied to clipboard
| Challenge: | a recent study has shown that multiword expressions and wordplays impact their performance and are idiosyncratic and pervasive across languages. |
| Approach: | They propose an alignment-based PMWE identification and tagging algorithm to identify different types of PMWEs. |
| Outcome: | The proposed algorithm can identify different types of PMWEs and perform a snowclone detection task in English. |