Enhancing Offensive Language Detection with Data Augmentation and Knowledge Distillation

Offensive language detection has received important attention and plays a crucial role in promoting healthy communication on social platforms, as well as promoting the safe deployment of large language models. Training data is the basis for developing detectors; however, the available offense-relate...

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Detalles Bibliográficos
Autores principales: Deng, Jiawen, Chen, Zhuang, Sun, Hao, Zhang, Zhexin, Wu, Jincenzi, Nakagawa, Satoshi, Ren, Fuji, Huang, Minlie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10506735/
https://www.ncbi.nlm.nih.gov/pubmed/37727321
http://dx.doi.org/10.34133/research.0189

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10506735/
https://www.ncbi.nlm.nih.gov/pubmed/37727321
http://dx.doi.org/10.34133/research.0189

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