Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2004, Vol. 27 ›› Issue (4): 1-12.

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Comprehensive Information Based Methodology for
Natural Language Understanding

ZHONG Yi-xin   

  1. Center of Intelligence Science and Technology Research, Beijing University of Posts and
    Telecommunications, Beijing 100876, China
  • Received:2003-04-21 Online:2004-04-28

Abstract: The “Comprehensive Information Based Methodology forNatural Language Understanding” presented in the paper is an application of the Comprehensive Information(CI) Theory, which was established by the author of the paper years ago formeeting the needs in artificial intelligence research. Different from other works in the field of natural language processing, the major features of the methodology presented in the paper include two folds. Firstly, instead of the syntacticor/and semantic information is used, all components of the comprehensive information are fully utilized for natural language understanding. Secondly, instead of using one or another approach preferably, both the rule-based approach and the statistics-based approach have been complementarily integrated. The successesof the research projects guided by the methodology and completed last few yearsprove the methodology promising.

Key words: natural language understanding, comprehensive information theory, rule-based approach, statistical approach, CI-basedmethodology for natural language understanding

CLC Number: