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.
Variants: EmoCause
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Recognizing Emotion Cause in Conversations | Human | Perspective-taking and Pragmatics for Generating … | 2021-09-18 |
| Recognizing Emotion Cause in Conversations | GEE | Perspective-taking and Pragmatics for Generating … | 2021-09-18 |
| Recognizing Emotion Cause in Conversations | BERT-Attention | Perspective-taking and Pragmatics for Generating … | 2021-09-18 |
| Recognizing Emotion Cause in Conversations | EmpDG | Perspective-taking and Pragmatics for Generating … | 2021-09-18 |
| Recognizing Emotion Cause in Conversations | RAKE | Perspective-taking and Pragmatics for Generating … | 2021-09-18 |
| Recognizing Emotion Cause in Conversations | Random | Perspective-taking and Pragmatics for Generating … | 2021-09-18 |
Recent papers with results on this dataset: