Journal of Jilin University (Information Science Edition) ›› 2019, Vol. 37 ›› Issue (6): 623-630.

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Evolution of Dialogue Management in Spoken Dialogue System

HUO Xiaokai1a,1b,SHI Donghui2,SHI Yirui1a,1b,ZHOU You1a,1 b,SHI Xiaohu1a,1b,WU Chunguo1a,1b   

  1. 1a. Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education; 1b. College of Computer Science and Technology,Jilin University,Changchun 130012,China; 2. Traffic Police Detachment,Dalian Public Security Bureau,Dalian 116022,China
  • Online:2019-11-24 Published:2020-01-03

Abstract: The spoken dialogue system has great practical value and broad commercial prospects,and has significant research significance for its implementation which involves many directions in the field of natural language processing. Dialogue management is the core technology of spoken dialogue system,and plays an important role. The evolution of dialogue management forms the main historical line of the development of spoken dialogue system. In recent years,the research in the field of spoken dialogue system,especially the research on dialogue management,has yielded fruitful results. In order to generalize and summarize the main work in this field,this article first introduces the various components of the spoken dialogue system,including the main research contents and key technologies. Then focuses on the core module of the system. The development and evolution of the technology are outlined. Finally,we have studied the further developments of dialogue management methods,and have forecasted the future develepment.

Key words: spoken dialog system, dialog manage, nature language process, deep learning, partially observable, markov decision process

CLC Number: 

  • TP39