Comprehensive Information Based Methodology for Natural Language Understanding
Yixin Zhong · Beijing Youdian Xueyuan xuebao · 2004
The Information Based Methodology for Natural 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 for meeting 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 syntactic or/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 successes of the research projects guided by the methodology and completed last few years prove the methodology promising.