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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
AAAS
2023
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| Materias: | |
| 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 |