Papers by Diptanu Sarkar
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. |