A taxonomy, data set, and benchmark for detecting and classifying malevolent dialogue responses
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DOI: 10.1002/asi.24496
Abstract: Conversational interfaces are increasingly popular as a way of connecting people to information. With the increased generative capacity of corpus‐based conversational agents comes the need to classify and filter out malevolent responses that are inappropriate… read more here.
Keywords: dialogue; malevolent dialogue; mdrdc task; data set ... See more keywords