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Models/CoMPM

CoMPM

Reported on 6 benchmarks across 1 task · 1 paper · 3 SOTA

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

Audio6 results

  • Emotion RecognitiononMELD
    Weighted-F1· 2021-08-26
    66.52
    best: 69.9 (ELR-GNN)
    SOTA
    CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in ConversationarXiv:2108.11626
  • Emotion RecognitiononDailyDialog
    Macro F1· 2021-08-26
    53.15
    best: 55.84 (EmoOne-RoBERTa)
    SOTA
    CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in ConversationarXiv:2108.11626
  • Emotion RecognitiononDailyDialog
    Micro-F1· 2021-08-26
    60.34
    best: 64.07 (S+PAGE)
    SOTA
    CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in ConversationarXiv:2108.11626
  • Emotion RecognitiononEmoryNLP
    Weighted-F1· 2021-08-26
    37.37
    best: 42.08 (CKERC)
    CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in ConversationarXiv:2108.11626
  • Emotion RecognitiononIEMOCAP
    Accuracy· 2021-08-26
    66.76
    best: 73.95 (SDT)
    CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in ConversationarXiv:2108.11626
  • Emotion RecognitiononIEMOCAP
    Weighted-F1· 2021-08-26
    66.61
    best: 74.08 (SDT)
    CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in ConversationarXiv:2108.11626