EmoCause
Introduced by Kim et al. in Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes
EmoCause is a dataset of annotated emotion cause words in emotional situations from the EmpatheticDialogues valid and test set. The goal is to recognize emotion cause words in sentences by training only on sentence-level emotion labels without word-level labels (i.e., weakly-supervised emotion cause recognition).
EmoCause is based on the fact that humans do not recognize the cause of emotions with supervised learning on word-level cause labels. Thus, we do not provide a training set.
- Number of emotion categories: 32
- Average number of cause words per utterance: 2.3
- Total number of utterances: 4.6K (valid: 3.8K / test: 0.8K)
Benchmarks
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Papers
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