no code implementations • COLING 2022 • Anjali Adukia, Patricia Chiril, Callista Christ, Anjali Das, Alex Eble, Emileigh Harrison, Hakizumwami Birali Runesha
The manner in which gender is portrayed in materials used to teach children conveys messages about people’s roles in society.
no code implementations • Findings (EMNLP) 2021 • Patricia Chiril, Farah Benamara, Véronique Moriceau
In this paper, we focus on the detection of sexist hate speech against women in tweets studying for the first time the impact of gender stereotype detection on sexism classification.
no code implementations • ACL 2020 • Patricia Chiril, V{\'e}ronique Moriceau, Farah Benamara, Alda Mari, Gloria Origgi, Marl{\`e}ne Coulomb-Gully
In a context of offensive content mediation on social media now regulated by European laws, it is important not only to be able to automatically detect sexist content but also to identify if a message with a sexist content is really sexist or is a story of sexism experienced by a woman.
no code implementations • LREC 2020 • Patricia Chiril, V{\'e}ronique Moriceau, Farah Benamara, Alda Mari, Gloria Origgi, Marl{\`e}ne Coulomb-Gully
Social media networks have become a space where users are free to relate their opinions and sentiments which may lead to a large spreading of hatred or abusive messages which have to be moderated.
no code implementations • JEPTALNRECITAL 2019 • Patricia Chiril, Farah Benamara Zitoune, V{\'e}ronique Moriceau, Marl{\`e}ne Coulomb-Gully, Abhishek Kumar
Social media networks have become a space where users are free to relate their opinions and sentiments which may lead to a large spreading of hatred or abusive messages which have to be moderated.
no code implementations • SEMEVAL 2019 • Patricia Chiril, Farah Benamara Zitoune, V{\'e}ronique Moriceau, Abhishek Kumar
The massive growth of user-generated web content through blogs, online forums and most notably, social media networks, led to a large spreading of hatred or abusive messages which have to be moderated.