Multimodal Emotion-Cause Topic Extraction and Classification (MECTEC) on MECAD
38.34Anger ScoreM³HG
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| M³HGModality=T, A, V2025.08 | 38.34 | 21.89 | 879 | 28.1 | 31.17 | 43.29 | 32.82 | 34.59 | |
| M³HGModality=T, A2025.08 | 37.29 | 21.03 | 1,589 | 27.15 | 30.34 | 42.78 | 32.16 | 33.73 | |
| M³HGModality=T, V2025.08 | 36.91 | 20.48 | 1,691 | 25.47 | 30.96 | 43.14 | 31.95 | 33.52 | |
| GPT-4oModality=T, Setting=5-shots2025.08 | 36.65 | 20.08 | 845 | 24.52 | 17.89 | 39.77 | 27.16 | 28.42 | |
| M³HGModality=T2025.08 | 35.85 | 18.05 | 1,538 | 25.95 | 29.13 | 42.11 | 30.81 | 32.55 | |
| SHARKModality=T, Architecture=E2E2025.08 | 30.22 | 10.16 | 410 | 25.84 | 30.21 | 34.59 | 27.58 | 29.99 | |
| RankCPModality=T, Architecture=E2E2025.08 | 29.79 | 12.5 | 306 | 21.79 | 29.31 | 32.36 | 26.29 | 28.32 | |
| UECA-PromptModality=T, Architecture=E2E2025.08 | 28.54 | 12.12 | 532 | 20.84 | 29.67 | 34.17 | 25.91 | 27.87 | |
| MC-ECPE-2stepsModality=T, A, V, Architecture=Pipeline2025.08 | 28.43 | 0 | 23 | 22.45 | 27.67 | 45.14 | 22.01 | 24.83 | |
| ECPE-2DModality=T, Architecture=E2E2025.08 | 28.12 | 0 | 56 | 24.3 | 28.01 | 35.87 | 25.32 | 28.54 |