Recognizing Emotion Cause in Conversations

2 papers with code • 2 benchmarks • 3 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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Recognizing Emotion Cause in Conversations

declare-lab/RECCON 22 Dec 2020

We address the problem of recognizing emotion cause in conversations, define two novel sub-tasks of this problem, and provide a corresponding dialogue-level dataset, along with strong Transformer-based baselines.