Identification of offensive language in Urdu using semantic and embedding models

Automatic identification of offensive/abusive language is very necessary to get rid of unwanted behavior. However, it is more challenging to generalize the solution due to the different grammatical structures and vocabulary of each language. Most of the prior work targeted western languages, however...

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Detalles Bibliográficos
Autores principales: Hussain, Sajid, Malik, Muhammad Shahid Iqbal, Masood, Nayyer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280260/
https://www.ncbi.nlm.nih.gov/pubmed/37346307
http://dx.doi.org/10.7717/peerj-cs.1169

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280260/
https://www.ncbi.nlm.nih.gov/pubmed/37346307
http://dx.doi.org/10.7717/peerj-cs.1169

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