基于查询模板的特定领域中文问答系统的研究与实现

摘要

With the blast of information available on the web, the relevant documents set returned by search engineer can not meet the user's needs, and the question answer system research is promoted. Based on searching template, the structure of QA system is introduced. Moreover, the structure of the dictionary of keywords and searching template, the word segmentation algorithm based on the dictionary of keyword, the storage of searching template and the algorithm of template matching are defined. On the foundation, the QA system is implemented based on railway domain. The experimental result shows that the system has very high accuracy and recognition rate.%随着网络信息的爆炸性增长,传统的搜索引擎已经不能满足人们的需求,从而促使对问答系统(Question Arnswering System,QAS)的研究.文中介绍了基于查询模板的问答系统框架结构,定义了关键词词典和查询模板的结构,并且介绍了基于关键词词典的分词算法、查询模板存储结构以及模板匹配算法.在此基础上实现了基于铁路领域的问答系统,实验结果表明该系统具有很高的准确率和识别率.