Neural multimodal belief tracker with adaptive attention for dialogue systems

• Main Authors: ZHANG, Zheng, LIAO, Lizi, HUANG, Minlie, ZHU, Xiaoyan, CHUA, Tat-Seng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/7676; https://ink.library.smu.edu.sg/context/sis_research/article/8679/viewcontent/Neural_Multimodal_Belief_Tracker_with_Adaptive_Attention_for_Dialogue_Systems.pdf
• Institution: Singapore Management University

Multimodal dialogue systems are attracting increasing attention with a more natural and informative way for human-computer interaction. As one of its core components, the belief tracker estimates the user's goal at each step of the dialogue and provides a direct way to validate the ability of d...