Causal Emotion Entailment On Reccon
Métriques
Macro F1
Neg. F1
Pos. F1
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Macro F1 | Neg. F1 | Pos. F1 |
|---|---|---|---|
| neutral-utterances-are-also-causes-enhancing | 81.25 | 95.74 | 66.76 |
| multi-task-learning-framework-for-extracting | 77.55 | 85.90 | 69.20 |
| window-transformer-for-dialogue-document-a | 80.53 | 97.69 | 63.10 |
| discourse-aware-emotion-cause-extraction-in | 78.73 | 89.55 | 67.91 |
| mpeg-a-multi-perspective-enhanced-graph | 80.76 | 90.35 | 71.18 |
| tsam-a-two-stream-attention-model-for-causal | 80.24 | 90.48 | 70.00 |
| recognizing-emotion-cause-in-conversations-1 | 77.06 | 87.89 | 66.23 |
| recognizing-emotion-cause-in-conversations-1 | 76.51 | 88.74 | 64.28 |
| knowledge-bridged-causal-interaction-network | 79.12 | 89.65 | 68.59 |