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Emotion Recognition In Conversation On 2
평가 지표
MAE (Arousal)
MAE (Expectancy)
MAE (Power)
MAE (Valence)
평가 결과
이 벤치마크에서 각 모델의 성능 결과
| Paper Title | |||||
|---|---|---|---|---|---|
| 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 |
| Pretrained Hierarchical Transformer | 0.16 | 0.16 | 7.70 | 0.16 | Hierarchical Pre-training for Sequence Labelling in Spoken Dialog |
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