A Study of empathic dialogue generation based on affective intention prediction

Aiming at the problems of lack of emotional resonance and unsatisfactory anthropomorphic effect in the responses generated by the existing dialog models, a dialog generation model based on the prediction of emotional intent is proposed. The model predicts the intention information of the context to obtain fine-grained emotion information to construct a high-quality dialog generation system, combines with an emotion classifier to identify the emotion category of the input utterance, and generates corresponding empathetic replies based on the emotion comparison mechanism according to the different intention information and emotion information. The experimental results show that compared with the traditional dialog generation model, the proposed model can recognize the user's emotional intent and emotion information, generate responses that are more in line with the user's expectations and adapt to the context, and realize a more empathetic emotional dialog process.