DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations

Benchmark Model Rank Results
emotion-recognition-in-conversation-on-4DialogueCRN+RoBERTa#14Weighted-F1: 38.79Micro-F1: 41.04
emotion-recognition-in-conversation-on-7DialogueCRN#5Weighted F1: 81.28Accuracy: 81.34
emotion-recognition-in-conversation-on-cmu-2DialogueCRN#6Weighted F1: 26.55Accuracy: 37.88
emotion-recognition-in-conversation-on-iemocapDialogueCRN+RoBERTa#23Weighted-F1: 67.53Accuracy: 67.39
emotion-recognition-in-conversation-on-iemocapDialogueCRN#26Weighted-F1: 66.33Accuracy: 66.05
emotion-recognition-in-conversation-on-meldDialogueCRN+RoBERTa#18Weighted-F1: 65.77Accuracy: 66.93
emotion-recognition-in-conversation-on-meldDialogueCRN#38Weighted-F1: 58.39Accuracy: 60.73