Emotion Recognition In Conversation On 2
Metrics
MAE (Arousal)
MAE (Expectancy)
MAE (Power)
MAE (Valence)
Results
Performance results of various models on this benchmark
Model Name | 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 | - |
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