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Investigating cross-lingual training for offensive language detection

Platforms that feature user-generated content (social media, online forums, newspaper comment sections etc.) have to detect and filter offensive speech within large, fast-changing datasets. While many automatic methods have been proposed and achieve good accuracies, most of these focus on the Englis...

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Detalles Bibliográficos
Autores principales: Pelicon, Andraž, Shekhar, Ravi, Škrlj, Blaž, Purver, Matthew, Pollak, Senja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8237322/
https://www.ncbi.nlm.nih.gov/pubmed/34239970
http://dx.doi.org/10.7717/peerj-cs.559