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汉语问答系统答案提取方法研究
引用本文:余正涛,樊孝忠,宋丽哲,高盛祥. 汉语问答系统答案提取方法研究[J]. 计算机工程, 2006, 32(3): 183-185
作者姓名:余正涛  樊孝忠  宋丽哲  高盛祥
作者单位:昆明理工大学信息工程与自动化学院,昆明,650051;北京理工大学计算机科学工程系,北京,100081;昆明理工大学信息工程与自动化学院,昆明,650051;北京理工大学计算机科学工程系,北京,100081
摘    要:答案提取是问答系统的关键部分,文章介绍了汉语问答系统的基本结构及其实现过程,以问题和答案中关键词的词频统计特性为基础,进一步考虑问题和句子中关键词位置分布信息,提出了一种结合向量空间模型(VSM)和关键词最小匹配距离的问题和句子相似度的计算方法。并以相似度为基础,结合问题类别,对汉语基于事实的简单陈述问题进行了答案句子提取实验,结果表明该方法有较好的效果。

关 键 词:问答系统  答案提取  相似度  向量空间模型  最小匹配距离
文章编号:1000-3428(2006)03-0183-03
收稿时间:2005-01-12
修稿时间:2005-01-12

Research on Answer Extracting for Chinese Question-answering System
YU Zhengtao,FAN Xiaozhong,SONG Lizhe,GAO Shengxiang. Research on Answer Extracting for Chinese Question-answering System[J]. Computer Engineering, 2006, 32(3): 183-185
Authors:YU Zhengtao  FAN Xiaozhong  SONG Lizhe  GAO Shengxiang
Abstract:Answer extracting is the key part of question-answering system.The basic structure and realization of Chinese question-answering system are introduced.Based on the statistic feature of keyword frequency,the distribution of keywords in question and sentence is considered.And a similarity computation method between question and sentence,which combines vector space model(VSM) and keyword minimal matching span is proposed.According to question type and the similarity calculated above,answer-extracting experiment for Chinese factoid question is done.The experiment result shows that the method presented in this paper gets a very good effect.
Keywords:Question-answering system   Answer extracting   Similarity   Vector space model   Minimal matching span
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