摘要
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 AnsweringSystem,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.
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
出处
《江苏科技大学学报（自然科学版）》
CAS
北大核心
2011年第2期163-168,共6页
Journal of Jiangsu University of Science and Technology:Natural Science Edition
关键词
问答系统
查询模板
分词
句型解析树
模板匹配
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.Key words： question answering system
searching template
word segmentation
syntactic parsing tree
template matching
