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Abuse Detection

Abuse detection is the task of identifying abusive behaviors, such as hate speech, offensive language, sexism and racism, in utterances from social media platforms (Source: https://arxiv.org/abs/1802.00385).

Papers

Showing 7173 of 73 papers

TitleStatusHype
TCAB: A Large-Scale Text Classification Attack BenchmarkCode0
Multi-label Hate Speech and Abusive Language Detection in Indonesian TwitterCode0
UM-IU@LING at SemEval-2019 Task 6: Identifying Offensive Tweets Using BERT and SVMsCode0
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