Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction

• URL: http://arxiv.org/abs/2106.03044v1
• Date: Sun, 6 Jun 2021 06:26:15 GMT
• Title: Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction
• Authors: Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu
• Abstract summary: This article proposes a unifed end-to-end neural architecture, which is capable of simultaneously encoding the semantics and the emotions in a post. 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.
• Score: 55.47134146639492
• 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 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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