DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation
Table 5: Ablation results w.r.t the contextual encoder modules on IEMOCAP dataset.
['Sequential Encoder', 'Speaker-Level Encoder', 'F1']
We remove them one at a time and found that the speaker-level encoder is slightly more important in overall performance. This is due to speaker-level encoder mitigating long distance dependency issue of sequential encoder and DialogueRNN. Removing both of them results in a very poor F1 score of 36.7 %, which demonstrates the importance of contextual modelling in conversational emotion recognition.