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Models/DialogueRNN

DialogueRNN

Reported on 11 benchmarks across 1 task · 2 papers · 8 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Audio11 results

  • Emotion RecognitiononSEMAINE
    MAE (Arousal)· 2018-11-01
    0.165
    best: 0.16 (Pretrained Hierarchical Transformer)
    SOTA
    DialogueRNN: An Attentive RNN for Emotion Detection in ConversationsarXiv:1811.00405
  • Emotion RecognitiononSEMAINE
    MAE (Expectancy)· 2018-11-01
    0.175
    best: 0.16 (Pretrained Hierarchical Transformer)
    SOTA
    DialogueRNN: An Attentive RNN for Emotion Detection in ConversationsarXiv:1811.00405
  • Emotion RecognitiononSEMAINE
    MAE (Power)· 2018-11-01
    7.9
    best: 7.68 (DialogueGCN)
    SOTA
    DialogueRNN: An Attentive RNN for Emotion Detection in ConversationsarXiv:1811.00405
  • Emotion RecognitiononSEMAINE
    MAE (Valence)· 2018-11-01
    0.168
    best: 0.157 (DialogueGCN)
    SOTA
    DialogueRNN: An Attentive RNN for Emotion Detection in ConversationsarXiv:1811.00405
  • Emotion RecognitiononMELD
    Accuracy· 2018-11-01
    59.54
    best: 68.7 (ELR-GNN)
    SOTA
    DialogueRNN: An Attentive RNN for Emotion Detection in ConversationsarXiv:1811.00405
  • Emotion RecognitiononMELD
    Weighted-F1· 2018-11-01
    57.03
    best: 69.9 (ELR-GNN)
    SOTA
    DialogueRNN: An Attentive RNN for Emotion Detection in ConversationsarXiv:1811.00405
  • Emotion RecognitiononIEMOCAP
    Accuracy· 2018-11-01
    63.5
    best: 73.95 (SDT)
    SOTA
    DialogueRNN: An Attentive RNN for Emotion Detection in ConversationsarXiv:1811.00405
  • Emotion RecognitiononIEMOCAP
    Weighted-F1· 2018-11-01
    63.5
    best: 74.08 (SDT)
    SOTA
    DialogueRNN: An Attentive RNN for Emotion Detection in ConversationsarXiv:1811.00405
  • Emotion RecognitiononEC
    Micro-F1· 2019-05-08
    0.758
    best: 0.7765 (NELEC)
    Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent AdvancesarXiv:1905.02947
  • Emotion RecognitiononCPED
    Accuracy of Sentiment· 2018-11-01
    48.57
    best: 51.5 (BERT+AVG+MLP)
    DialogueRNN: An Attentive RNN for Emotion Detection in ConversationsarXiv:1811.00405
  • Emotion RecognitiononCPED
    Macro-F1 of Sentiment· 2018-11-01
    44.11
    best: 48.02 (BERT+AVG+MLP)
    DialogueRNN: An Attentive RNN for Emotion Detection in ConversationsarXiv:1811.00405