Target-guided Emotion-aware Chat Machine

Wei Wei*, Jiayi Liu*, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu, Shanshan Feng

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

19 引用 (Scopus)

摘要

The consistency of a response to a given post at the semantic level and emotional level is essential for a dialogue system to deliver humanlike interactions. However, this challenge is not well addressed in the literature, since most of the approaches neglect the emotional information conveyed by a post while generating responses. This article addresses this problem and proposes a unified end-to-end neural architecture, which is capable of simultaneously encoding the semantics and the emotions in a post and leveraging target information to generate more intelligent responses with appropriately expressed emotions. Extensive experiments on real-world data demonstrate that the proposed method outperforms the state-of-the-art methods in terms of both content coherence and emotion appropriateness.

源语言英语
文章编号43
期刊ACM Transactions on Information Systems
39
4
DOI
出版状态已出版 - 10月 2021

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