CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation
Table 7: Emotion lexicon size and classification accuracy after pre-training of each emotion category. “Lex.”, “ACC(f)” and “ACC(b)” represent lexicon, classification accuracy of forward process and classification accuracy of backward process, respectively.
['[EMPTY]', 'Like', 'Sad', 'Disgust', 'Angry', 'Happy']
Here, we conduct a further analysis to show some characteristics of this task and the effect of CDL. Emotion lexicon size and classification accuracy after pre-training of each category (N(correct prediction) We can see that the classification accuracy is not totally related to the emotion lexicon size, indicating the emotion expression is partially implicit or explicit. To better illustrate the learning efficiency of CDL, we plot the changes of Emotion-acc on the validation set.