Empathetic Dialogue Generation via Sentiment and Support Strategy
Empathic dialogue aims to provide mental health support for anxious users,thus chatbots with empathic capabilities is a noteworthy issue.The existing methods can only identify users'sentiment states,but can not effectively generate empathetic responses according to users'different sentiment states and let alone effectively relieve users'bad emotions.Therefore,in the research of building sentiment support chatbots,how to dynamically capture users'fine-grained sentiment features and provide corresponding psychological support according to sentiment features needs to be further explored.This paper proposes an empathic dialogue generation method based on the fusion of emotion and strategy.Firstly,the sentiment classification network is used to dynamically perceive the user's sentiment state.Then the support strategy is used to accurately model the strategy matching network which is introduced according to the context of the conversation to generate the conversation.Finally,by comparing the experimental results of the proposed method and the current advanced methods on the corresponding datasets,the effectiveness of the proposed method and the importance of sentiment support are verified.