Emotional Dialogue Generation Based on Conditional Variational Autoencoder and Dual Emotion Framework

Table 1

Accuracy of emotion classifiers.

Model	Accuracy
RNN [30]	56.2%
LSTM [34]	59.7%
Bi-LSTM [35]	62.1%
BERT [18]	65.1%