Deep Prompt Multi-task Network for Abuse Language Detection

arXiv:2403.05268v1 Announce Type: cross
Abstract: The detection of abusive language remains a long-standing challenge with the extensive use of social networks. The detection task of abusive language suffers from limited accuracy. We argue that the existing detection methods utilize the fine-tuning technique of the pre-trained language models (PLMs) to handle downstream tasks. Hence, these methods fail to stimulate the general knowledge of the PLMs. To address the problem, we propose a novel Deep Prompt Multi-task Network (DPMN) for abuse language …

abstract abuse accuracy arxiv challenge cs.cl cs.lg detection detection methods fine-tuning language language models network networks prompt social social networks tasks type