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Yangjun Zhang

2 accepted papers

2022

Improving Multi-label Malevolence Detection in Dialogues through Multi-faceted Label Correlation Enhancement

ACL 2022long

A dialogue response is malevolent if it is grounded in negative emotions, inappropriate behavior, or an unethical value basis in terms of content and dialogue acts. The detection of malevolent dialogue responses is attracting growing interest. Current research on detecting dialogue malevolence has l…

Cited by 11SourcePDFScholar
2021

A Human-machine Collaborative Framework for Evaluating Malevolence in Dialogues

ACL 2021long

Conversational dialogue systems (CDSs) are hard to evaluate due to the complexity of natural language. Automatic evaluation of dialogues often shows insufficient correlation with human judgements. Human evaluation is reliable but labor-intensive. We introduce a human-machine collaborative framework,…