2025年04月15日 星期二

广西师范大学学报（自然科学版） ›› 2014, Vol. 32 ›› Issue (4): 52-58.

• • 上一篇    下一篇

基于依存语法及本体技术的问句分析

唐素勤, 黄运有, 王娜娜   

  1. 广西师范大学计算机科学与信息工程学院,广西桂林,541004
  • 收稿日期:2014-07-16 发布日期:2018-09-26
  • 通讯作者: 唐素勤(1972—),女(壮族),广西都安人,广西师范大学教授,博士。E-mail:sqtang@gxnu.edu.cn
  • 基金资助:
    国家自然科学基金青年基金资助项目(61103169);广西自然科学基金资助项目(2011GXNSFA018159);中国科学院计算技术研究所合作项目(国家自然科学基金(61173063)子课题) (合同编号:2014450004000001);广西研究生教育创新计划资助项目(YCSZ2014097);广西师范大学博士科研启动基金项目

The Analysis of Interrogative Sentence Based on Dependency Grammar and Ontology Technology

TANG Su-qin, HUANG Yun-you, WANG Na-na   

  1. College of Computer Science and Information Technology, Guangxi Normal University,Guilin Guangxi 541004, China
  • Received:2014-07-16 Published:2018-09-26

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摘要： 与传统的基于框架的问句分析方法不同,本文结合汉语语法对问句的依存关系进行分析,提取问句的语义及问句各成分间的限制关系,得到主要针对领域本体知识库的问句理解结果。本文把问句分析细化为如下几个过程:命名实体识别、问句分类、问句预处理(包括:分词、词性标注以及句子解析)、问句焦点提取和问句成分间的语义关系及限制提取。最后通过实验验证算法的有效性。

关键词: 问句分析, 依存关系, 本体

Abstract: Combined with Chinese grammar, this paper proposes a new method of analyzing the dependency relation ship of interrogative sentences, which is different from the traditional analysis method of the interrogative sentence based on the frame. With this method, the semantic of the sentence and the restrict between the word of the sentence is extracted and the comprehension of the interrogative sentence on the search query of domain ontology knowledge base is obtained. The method includes five parts: recognizing the named entity, classifying the interrogative sentence, preprocessing the interrogative sentence( including participle, speech tagging and parse), extracting the focus of the sentence, and extracting the semantic and restrict. Finally, the effectiveness of the algorithm is validated by the experiment.

Key words: analysis of interrogative sentence, dependency relation, ontology

中图分类号: 

  • TP182
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