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BanglaHateBERT: BERT for Abusive Language Detection in Bengali
This paper introduces BanglaHateBERT, a retrained BERT model for abusive language detection in Bengali.
Finnish Hate-Speech Detection on Social Media Using CNN and FinBERT
The majority of this research has concentrated on English, although one notices the emergence of multilingual detection tools such as multilingual-BERT (mBERT).
A Comprehensive Study on NLP Data Augmentation for Hate Speech Detection: Legacy Methods, BERT, and LLMs
The surge of interest in data augmentation within the realm of NLP has been driven by the need to address challenges posed by hate speech domains, the dynamic nature of social media vocabulary, and the demands for large-scale neural networks requiring extensive training data.
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