Zhenzhen He

PEMTCL: A Prompt-Enhanced Multi-Task Contrastive Learning Framework for Fine-Grained Toxic Language Detection

Fine-grained toxic language detection aims to assess the harmfulness, expression style, and attack target of textual content, supporting refined content moderation on online platforms. Most existing methods model each subtask independently, failing to exploit semantic correlation...