Emotion-aware chat machine: Automatic emotional response generation for human-like emotional interaction

• Main Authors: WEI, Wei, LIU, Jiayi, MAO, Xianling, GUO, Guibing, ZHU, Feida, ZHOU, Pan, HU, Yuchong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Dialogue generation; Emotional chatbot; Emotional conversation; Artificial Intelligence and Robotics; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/4842; https://ink.library.smu.edu.sg/context/sis_research/article/5845/viewcontent/3357384.3357937.pdf
• Institution: Singapore Management University

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 unified 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.