Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

Journal of Beijing University of Posts and Telecommunications ›› 2019, Vol. 42 ›› Issue (6): 10-19.doi: 10.13190/j.jbupt.2019-169

• REVIEW • Previous Articles     Next Articles

Architecture and Algorithms of Intelligent Dialogue System

HUANG Yi, FENG Jun-lan, HU Min, WU Xiao-ting, DU Xiao-yu   

  1. China Mobile Research Institute, Beijing 100053, China
  • Received:2019-07-31 Published:2019-11-15

Abstract: Intelligent human-machine dialogue system comprehensively utilizes a number of core technologies in the field of artificial intelligence. In recent years, with the development of basic algorithms such as deep learning and reinforcement learning, the overall structure, algorithm system and application mode of human-machine dialogue system have been changed and improved greatly. In order to sort out and summarize this technology, the architecture of human-machine dialogue system, the core algorithm of human-machine dialogue system, challenges and technical directions in this field are reviewed.

Key words: dialogue system, deep learning, human-machine interaction

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