Emotion Recognition In Conversation On Ec
Metrics
Micro-F1
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Micro-F1 |
|---|---|
| snu-ids-at-semeval-2019-task-3-addressing | 0.758 |
| ana-at-semeval-2019-task-3-contextual-emotion | 0.7709 |
| symantoresearch-at-semeval-2019-task-3 | 0.7731 |
| neural-feature-extraction-for-contextual | 0.6993 |
| emotion-recognition-in-conversation-research | 0.758 |
| nelec-at-semeval-2019-task-3-think-twice | 0.7765 |
| conssed-at-semeval-2019-task-3-configurable | 0.7664 |
| attention-based-modeling-for-emotion | 0.7582 |
| knowledge-enriched-transformer-for-emotion | 0.7413 |