Papers by Diptanu Sarkar

1 papers
fBERT: A Neural Transformer for Identifying Offensive Content (2021.findings-emnlp)

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Challenge: Existing models such as BERT, XLNET, and XLM-R have outperformed other neural architectures and statistical learning methods in the identification of offensive language and hate speech.
Approach: They present a BERT model retrained on SOLID, the largest English offensive language identification corpus available with over 1.4 million offensive instances.
Outcome: The proposed model outperforms models trained on SOLID, the largest English offensive language identification corpus available with over 1.4 million offensive instances.

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