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改进的基于句模匹配算法的问句理解方法
引用本文:马莉,唐素勤,陈立娜,蒋运承.改进的基于句模匹配算法的问句理解方法[J].计算机工程,2009,35(20):50-52.
作者姓名:马莉  唐素勤  陈立娜  蒋运承
作者单位:广西师范大学计算机科学与信息工程学院,桂林,541004
基金项目:广西科学研究与技术开发计划基金资助项目 
摘    要:句模匹配方法是基于字符表层的文本分析技术,只能处理各个关键词中有分隔词的问句,具有局限性。针对该问题,结合问答系统的应用背景,提出将句模匹配与关键词词库匹配相结合的方法,改进了传统的句模匹配问句理解方法。实际应用表明,该方法能扩大问句理解的范围,提高问句理解的准确性。

关 键 词:问答系统  问句理解  自然语言处理  句模匹配算法  词库匹配算法
修稿时间: 

Improved Question Interpretation Method Based on Matching Algorithm of Sentence Template
MA Li,TANG Su-qin,CHEN Li-na,JIANG Yun-cheng.Improved Question Interpretation Method Based on Matching Algorithm of Sentence Template[J].Computer Engineering,2009,35(20):50-52.
Authors:MA Li  TANG Su-qin  CHEN Li-na  JIANG Yun-cheng
Affiliation:(College of Computer Science and Information Technology, Guangxi Normal University, Guilin 541004)
Abstract:Matching algorithm of sentence template can only be used in the sentences that have some divided words between the parameters, which is a technique for text analysis based on characters. So this method has its own limitations. In light of these problems and the background of question answering system, this paper presents a new method that combines with matching algorithm of lexicon, which improves the traditional method. In practice, result shows that the method can extend the range of question interpretation and enhance the accuracy of question interpretation.
Keywords:question answering system  question interpretation  nature language processing  matching algorithm of sentence template  matching algorithm of lexicon
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