ToXCL: A Unified Framework for Toxic Speech Detection and Explanation

arXiv:2403.16685v1 Announce Type: new
Abstract: The proliferation of online toxic speech is a pertinent problem posing threats to demographic groups. While explicit toxic speech contains offensive lexical signals, implicit one consists of coded or indirect language. Therefore, it is crucial for models not only to detect implicit toxic speech but also to explain its toxicity. This draws a unique need for unified frameworks that can effectively detect and explain implicit toxic speech. Prior works mainly formulated the task of toxic …

abstract arxiv cs.cl cs.cy detection framework language speech threats toxic speech type