北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2019, Vol. 42 ›› Issue (6): 10-19.doi: 10.13190/j.jbupt.2019-169

• 综述 • 上一篇    下一篇

智能对话系统架构及算法

黄毅, 冯俊兰, 胡珉, 吴晓婷, 杜晓宇   

  1. 中国移动研究院, 北京 100053
  • 收稿日期:2019-07-31 发布日期:2019-11-15
  • 通讯作者: 冯俊兰(1974-),女,国家特聘专家,E-mail:fengjunlan@chinamobile.com. E-mail:fengjunlan@chinamobile.com
  • 作者简介:黄毅(1989-),男,研究员.

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

摘要: 智能人机对话系统综合应用了人工智能领域多项核心技术,随着深度学习、强化学习等基础算法的快速发展,人机对话系统的总体架构、算法体系以及应用模式都有了重大的改变和提升.从人机对话系统的架构、人机对话系统的核心算法和该领域面临的挑战以及技术研究方面做了综述.

关键词: 对话系统, 深度学习, 人机交互

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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