Emotion Recognition In Conversation On 2
Metriken
MAE (Arousal)
MAE (Expectancy)
MAE (Power)
MAE (Valence)
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | MAE (Arousal) | MAE (Expectancy) | MAE (Power) | MAE (Valence) | Paper Title | Repository |
|---|---|---|---|---|---|---|
| Pretrained Hierarchical Transformer | 0.16 | 0.16 | 7.70 | 0.16 | Hierarchical Pre-training for Sequence Labelling in Spoken Dialog | - |
| DialogueRNN | 0.165 | 0.175 | 7.9 | 0.168 | DialogueRNN: An Attentive RNN for Emotion Detection in Conversations | |
| DialogueGCN | 0.161 | 0.168 | 7.68 | 0.157 | DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation |
0 of 3 row(s) selected.