April 3, 2024, 4:47 a.m. | Advaitha Vetagiri, Gyandeep Kalita, Eisha Halder, Chetna Taparia, Partha Pakray, Riyanka Manna

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.02013v1 Announce Type: new
Abstract: Online gender-based harassment is a widespread issue limiting the free expression and participation of women and marginalized genders in digital spaces. Detecting such abusive content can enable platforms to curb this menace. We participated in the Gendered Abuse Detection in Indic Languages shared task at ICON2023 that provided datasets of annotated Twitter posts in English, Hindi and Tamil for building classifiers to identify gendered abuse. Our team CNLP-NITS-PP developed an ensemble approach combining CNN and …

abuse arxiv breaking cs.cl english hindi indian spaces tamil type

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