A cue adaptive decoder for controllable neural response generation

• Main Authors: WANG, Weichao, FENG, Shi, GAO, Wei, WANG, Daling, ZHANG, Yifei
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: dialogue generation; vanishing gradient problem; disturbing gradient problem; cue adaptive decoder; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/5125; https://ink.library.smu.edu.sg/context/sis_research/article/6128/viewcontent/3366423.3380008.pdf
• Institution: Singapore Management University

In open-domain dialogue systems, dialogue cues such as emotion, persona, and emoji can be incorporated into conversation models for strengthening the semantic relevance of generated responses. Existing neural response generation models either incorporate dialogue cue into decoder’s initial state or...