基于概念图知识表示的问题回答系统的研究.pdf

基于概念图知识表示的汉语问题回答系统的研究 摘要:问题回答的核心是自然语言理解基础上的有哪些信誉好的足球投注网站问题.因汉语的灵活性和复杂性,使汉语 的理解成为汉语问题回答研究的技术难点.现有汉语问题回答依靠关键字查询方法信息检索 和答案抽取.系统实质是关键字匹配,没有语法和语义分析,属于简单自然语言理解范畴,且答 案准确率低.本文以概念图知识表示为基础,按汉语语法和语义分析,形式化定义了问题回答, 提出了基于概念图知识表示的汉语问题回答的系统结构和研究方法,并归纳出汉语中常见疑 问句型,构造了疑问句概念图.经测试分析,疑问句概念图反映了现有疑问句基本情况,解决方 案切实可行.该课题的研究,对问题回答和自然语言理解的研究具有一定参考价值. 关键词:概念图;知识表示;问题回答; 自然语言理解 中图法分类号:TP391 文献标识码:A Research on the Questions Answering System in Chinese Based on Knowledge Represent of Conceptual Graphs 1 2 Peiqi Liu ,Zengzhi Li 1 ( School of information and control engineering, Xi’an university of architecture and technology, Xi’an 710055, 2 China, School of electronics and information engineering, Xi’an Jiaotong university, Xi’an 710049, China) Abstract: The core of questions answering is a searching based on natural language understanding. Because of the flexibility and complexity of Chinese,the study of the Chinese question answering has become very difficulty. The current Chinese questions answering relies on keywords to query and retrieve the answer. The nature of these systems is the keyword matching. It hasn’t any syntax and semantics analysis and belongs to simple natural language understanding. Its answering accuracy is low. In this paper, the research methods of the questions answering in Chinese syntax and semantic analysis, which based on the knowledge representation of the conceptual graphs, is proposed. According to the methods, the questions answering is formal definited,and the system structure is designed. The conceptual graphs of the interrogative sentences in Chinese are also constructed by common statement in Chinese interrogative sentences in this paper. After test, the conceptual graphs of the interrogative sentences reflect the basic sit