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- W2154250070 abstract "The demand is increasing recently for nontask-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 conversationutterance 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." @default.
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- W2154250070 date "2013-11-01" @default.
- W2154250070 modified "2023-09-26" @default.
- W2154250070 title "Automatic Utterance Generation in Consideration of Nominatives and Emoticon Annotation" @default.
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