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Emotion Recognition In Conversation On 7

評価指標

Accuracy
Weighted F1

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名
Accuracy
Weighted F1
Paper TitleRepository
MMGCN79.7579.72MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation-
GraphSmile86.5386.52Tracing Intricate Cues in Dialogue: Joint Graph Structure and Sentiment Dynamics for Multimodal Emotion Recognition-
MM-DFN80.9180.83MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations-
M3Net83.6783.57Multivariate, Multi-Frequency and Multimodal: Rethinking Graph Neural Networks for Emotion Recognition in Conversation
Joyful-85.70Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion Recognition-
DialogueCRN81.3481.28DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations-
SACL-LSTM80.7080.74Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations-
COGMEN-84.50COGMEN: COntextualized GNN based Multimodal Emotion recognitioN-
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