Search Results for author:
Found 2 papers, 1 papers with code
FBERT: A Neural Transformer for Identifying Offensive Content
Transformer-based models such as BERT, XLNET, and XLM-R have achieved state-of-the-art performance across various NLP tasks including the identification of offensive language and hate speech, an important problem in social media.
WLV-RIT at SemEval-2021 Task 5: A Neural Transformer Framework for Detecting Toxic Spans
In recent years, the widespread use of social media has led to an increase in the generation of toxic and offensive content on online platforms.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
