Recognizing Emotion Cause in Conversations
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.
Papers
Showing 1–3 of 3 papers
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | SpanBERT | F1 | 75.71 | — | Unverified |
| 2 | RoBERTa Base | F1 | 75.45 | — | Unverified |