The demand is increasing recently for non-task-oriented conversation system in various scenes. Previous studies provide various strategies to enrich the methods for generating utterances, thus making the conversation systems or agents appear more interesting. However, most previous works tend to rely on templates and therefore are not able to perform flexible conversation-utterance generation. We propose here in this paper a thorough modification to a previous work to address this problem. Specifically, we introduce an automatic utterance generation in consideration of the embedded structure of sentences based on the principle of nominative maintenance. Moreover, emotion presumption has been implemented to add entertaining elements into the conversation with a user. The experimental results show that our approach proposed in this study has helped improve the performance of a conversation system.
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