Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations

Benchmark Model Rank Results
emotion-recognition-in-conversation-on-emorynlpSACL-LSTM (one seed)#4Weighted-F1: 40.47Micro-F1: 43.19
emotion-recognition-in-conversation-on-emorynlpSACL-LSTM#8Weighted-F1: 39.65Micro-F1: 42.21
emotion-recognition-in-conversation-on-cmu-mosei-sentimentSACL-LSTM#7Weighted F1: 25.95Accuracy: 38.60
emotion-recognition-in-conversation-on-iemocap-4SACL-LSTM#7Weighted F1: 80.74Accuracy: 80.70
emotion-recognition-in-conversation-on-meldSACL-LSTM (one seed)#9Weighted-F1: 66.86Accuracy: 67.89
emotion-recognition-in-conversation-on-meldSACL-LSTM#17Weighted-F1: 66.45Accuracy: 67.51
emotion-recognition-in-conversation-on-iemocapSACL-LSTM (one seed)#16Weighted-F1: 69.70Accuracy: 69.62
emotion-recognition-in-conversation-on-iemocapSACL-LSTM#19Weighted-F1: 69.22Accuracy: 69.08