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。
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 oaoer uets a very good effect.
出处
《计算机工程》
EI
CAS
CSCD
北大核心
2006年第3期183-185,共3页
Computer Engineering
基金
云南省信息技术基金资助项目(2002IT03)
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
Question-answering system
Answer extracting
Similarity
Vector space model
Minimal matching span
