DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations

Benchmark Model Rank Results
emotion-recognition-in-conversation-on-iemocap-4DialogueCRN#5Weighted F1: 81.28Accuracy: 81.34
emotion-recognition-in-conversation-on-cmu-mosei-sentimentDialogueCRN#6Weighted F1: 26.55Accuracy: 37.88
emotion-recognition-in-conversation-on-emorynlpDialogueCRN+RoBERTa#14Weighted-F1: 38.79Micro-F1: 41.04
emotion-recognition-in-conversation-on-meldDialogueCRN+RoBERTa#20Weighted-F1: 65.77Accuracy: 66.93
emotion-recognition-in-conversation-on-meldDialogueCRN#43Weighted-F1: 58.39Accuracy: 60.73
emotion-recognition-in-conversation-on-iemocapDialogueCRN+RoBERTa#26Weighted-F1: 67.53Accuracy: 67.39
emotion-recognition-in-conversation-on-iemocapDialogueCRN#29Weighted-F1: 66.33Accuracy: 66.05