摘要： 在分析当前中文问答系统中问句分析技术的基础上，提出一种基于句法结构和语义信息的问题特征提取方法。利用依存句法分析出问句的主干，从语义信息角度分析问句主干从而提取出问句的特征词，并用改进贝叶斯算法进行问题分类。实验证明，该特征提取方法能提高问题分类的准确性。

关键词: 问答系统, 特征提取, 句法结构, 语义信息

Abstract: This paper analyzes the current question parsing techniques in Question Answering(QA), and proposes a question feature exaction method based on syntactic structure and semantic information. The method parses question trunks based on syntax structure, then extracts characteristics of question from the semantic information point of view and uses modified Bayesian algorithm in question classification. Experiments show that this method can raise the accuracy of the question classification.

Key words: Question Answering(QA) system, feature exaction, syntactic structure, semantic information

中图分类号: 

• TP311.12