natural-language-processing-17
Recognizing Emotion Cause in Conversations
3260 papers • 126 benchmarks • 313 datasets
Given an utterance U, labeled with emotion E, the task is to extract the causal spans S from the conversational history H (including utterance U) that sufficiently represent the causes of emotion E.
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