A MURIL-based classifier outperforms RoBERTa, IndicBERT, and several published baselines on six Hinglish cyberbullying datasets, with reported gains of 1.36 to 13.07 percentage points.
Hate Speech Detection from Code-mixed Hindi-English Tweets Using Deep Learning Models
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abstract
This paper reports an increment to the state-of-the-art in hate speech detection for English-Hindi code-mixed tweets. We compare three typical deep learning models using domain-specific embeddings. On experimenting with a benchmark dataset of English-Hindi code-mixed tweets, we observe that using domain-specific embeddings results in an improved representation of target groups, and an improved F-score.
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Cyberbullying Detection in Hinglish Text Using MURIL and Explainable AI
A MURIL-based classifier outperforms RoBERTa, IndicBERT, and several published baselines on six Hinglish cyberbullying datasets, with reported gains of 1.36 to 13.07 percentage points.