Combat COVID-19 infodemic using explainable natural language processing models

Misinformation of COVID-19 is prevalent on social media as the pandemic unfolds, and the associated risks are extremely high. Thus, it is critical to detect and combat such misinformation. Recently, deep learning models using natural language processing techniques, such as BERT (Bidirectional Encode...

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Detalles Bibliográficos
Autores principales: Ayoub, Jackie, Yang, X. Jessie, Zhou, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7980090/
https://www.ncbi.nlm.nih.gov/pubmed/33776192
http://dx.doi.org/10.1016/j.ipm.2021.102569

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7980090/
https://www.ncbi.nlm.nih.gov/pubmed/33776192
http://dx.doi.org/10.1016/j.ipm.2021.102569

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