March 29, 2024, 4:43 a.m. | Tharindu Ranasinghe, Isuri Anuradha, Damith Premasiri, Kanishka Silva, Hansi Hettiarachchi, Lasitha Uyangodage, Marcos Zampieri

cs.LG updates on arXiv.org arxiv.org

arXiv:2212.00851v2 Announce Type: replace-cross
Abstract: The widespread of offensive content online, such as hate speech and cyber-bullying, is a global phenomenon. This has sparked interest in the artificial intelligence (AI) and natural language processing (NLP) communities, motivating the development of various systems trained to detect potentially harmful content automatically. These systems require annotated datasets to train the machine learning (ML) models. However, with a few notable exceptions, most datasets on this topic have dealt with English and a few other …

abstract and natural language processing artificial artificial intelligence arxiv communities cs.ai cs.cl cs.lg cs.si cyber dataset datasets development global hate speech intelligence language language processing natural natural language natural language processing nlp processing speech systems type

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