2 papers
cs.CL2025
Explaining Matters: Leveraging Definitions and Semantic Expansion for Sexism Detection
Sahrish Khan, Arshad Jhumka, Gabriele Pergola
The detection of sexism in online content remains an open problem, as harmful language disproportionately affects women and marginalized groups. While automated systems for sexism…
cs.CL2025
SafeSpeech: A Comprehensive and Interactive Tool for Analysing Sexist and Abusive Language in Conversations
Xingwei Tan, Chen Lyu, Hafiz Muhammad Umer +7
Detecting toxic language including sexism, harassment and abusive behaviour, remains a critical challenge, particularly in its subtle and context-dependent forms. Existing approach…