Target Guided Emotion Aware Chat Machine

• URL: http://arxiv.org/abs/2011.07432v2
• Date: Fri, 9 Apr 2021 07:36:47 GMT
• Title: Target Guided Emotion Aware Chat Machine
• Authors: Wei Wei, Jiayi Liu, Xianling Mao, Guibin Guo, Feida Zhu, Pan Zhou, Yuchong Hu and Shanshan Feng
• Abstract summary: The consistency of a response to a given post at semantic-level and emotional-level is essential for a dialogue system to deliver human-like interactions. This article proposes a unifed end-to-end neural architecture, which is capable of simultaneously encoding the semantics and the emotions in a post.
• Score: 58.8346820846765
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The consistency of a response to a given post at semantic-level and emotional-level is essential for a dialogue system to deliver human-like 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 by proposing a unifed end-to-end neural architecture, which is capable of simultaneously encoding the semantics and the emotions in a post and leverage target information for generating 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.

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