DialogueCRN+RoBERTa

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
Accuracy· 2021-06-03
66.93
best: 68.7 (ELR-GNN)
SOTA
DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations arXiv:2106.01978
Emotion RecognitiononMELD
Weighted-F1· 2021-06-03
65.77
best: 69.9 (ELR-GNN)
SOTA
DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations arXiv:2106.01978
Emotion RecognitiononIEMOCAP
Accuracy· 2021-06-03
67.39
best: 73.95 (SDT)
SOTA
DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations arXiv:2106.01978
Emotion RecognitiononEmoryNLP
Micro-F1· 2021-06-03
41.04
best: 44.31 (EmotionIC)
DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations arXiv:2106.01978
Emotion RecognitiononEmoryNLP
Weighted-F1· 2021-06-03
38.79
best: 42.08 (CKERC)
DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations arXiv:2106.01978
Emotion RecognitiononIEMOCAP
Weighted-F1· 2021-06-03
67.53
best: 74.08 (SDT)
DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations arXiv:2106.01978