EmoCause
홈페이지 · 논문 2편
EmoCause is a dataset of annotated emotion cause words in emotional situations from the [EmpatheticDialogues](/dataset/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)
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