首页 | 本学科首页   官方微博 | 高级检索  
     

一种基于词共现图的受限领域自动问答系统
引用本文:钱 强,庞林斌,高 尚. 一种基于词共现图的受限领域自动问答系统[J]. 计算机应用研究, 2013, 30(3): 841-843
作者姓名:钱 强  庞林斌  高 尚
作者单位:江苏科技大学 计算机科学与工程学院, 江苏 镇江 212003
摘    要:提出了一种基于高频词和共现词的文本主题词抽取方法。该方法充分考虑到文档的统计信息和语义信息, 通过对提问问题和答案库中答案的相似度计算排序, 输出候选答案。提出一种具体的应用模型, 分别从问题的分析、信息检索和答案抽取三个模块进行系统的设计, 具有一定的应用价值。

关 键 词:自动问答  主题词抽取  词共现图

System of automatic question-answering based on term co-occurrence
QIAN Qiang,PANG Lin-bin,GAO Shang. System of automatic question-answering based on term co-occurrence[J]. Application Research of Computers, 2013, 30(3): 841-843
Authors:QIAN Qiang  PANG Lin-bin  GAO Shang
Affiliation:School of Computer Science & Engineering, Jiangsu University of Science & Technology, Zhenjiang Jiangsu 212003, China
Abstract:This paper provided a text keyphrase extraction method based on term co-occurrence and high frequency words. The method utilized the statistical information and semantic information of the document, output the candidate answer sorted by the similarity of the question and the answer in the answer library. It presented a specific application model which had a certain value, designed analysis of the problem, information retrieval and answer extraction modules.
Keywords:automatic question-answering   keyprase extraction   term co-occurrence graphic
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《计算机应用研究》浏览原始摘要信息
点击此处可从《计算机应用研究》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号