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Hate speech detection and racial bias mitigation in social media based on BERT model
Disparate biases associated with datasets and trained classifiers in hateful and abusive content identification tasks have raised many concerns recently. Although the problem of biased datasets on abusive language detection has been addressed more frequently, biases arising from trained classifiers...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7451563/ https://www.ncbi.nlm.nih.gov/pubmed/32853205 http://dx.doi.org/10.1371/journal.pone.0237861 |