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基于句型系统的中文问题理解研究
引用本文:刘朝涛,李祖枢.基于句型系统的中文问题理解研究[J].郑州大学学报(理学版),2010,42(1).
作者姓名:刘朝涛  李祖枢
作者单位:1. 重庆交通大学,机电与汽车工程学院,重庆,400074;重庆大学,智能自动化研究所,重庆,400044
2. 重庆大学,智能自动化研究所,重庆,400044;重庆理工大学,人工智能系统研究所,重庆,400050
摘    要:提出了一种基于向量空间模型的句型识别方法,该方法通过基于句型模式的问句句法树规约,得到句子关于句型模式的句型结构,再计算句型结构与句型模式之间的相似度来实现问句的句型识别.并在汉语疑问句句型系统的基础上,通过句型识别实现了对问题的分类和问题理解.测试结果表明,该方法提高了问题理解的准确度.

关 键 词:问题理解  句型系统  句型识别  相似度

Research on Chinese Question Analysis Based on Sentence Type System
LIU Chao-tao , LI Zu-shu.Research on Chinese Question Analysis Based on Sentence Type System[J].Journal of Zhengzhou University:Natural Science Edition,2010,42(1).
Authors:LIU Chao-tao  LI Zu-shu
Institution:LIU Chao-tao1,2,LI Zu-shu2,3(1.School of Mechatronics , Automotive Engineering,Chongqing Jiaotong University,Chongqing 400074,China,2. Institute of Intelligent Automation,Chongqing University,Chongqing 400044,3. Artificial Intelligence Laboratory,Chongqing University of Technology,Chongqing 400050,China)
Abstract:A method of STR (Sentence type recognition) based on VSM (Vector space model) is put forward like this:analyzing the phase syntactic tree of a question sentence based on the sentence type pattern to get the sentence type structure about the sentence type pattern of the question,and computing the similarity between the sentence type structure and the sentence type patterns to achieve the question's sentence type recognition. The experimental results show that thequestion analysis implemented by this way incr...
Keywords:question analysis  sentence type system  sentence type recognition  similarity  
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