摘要
文章描述了一种基于子主题划分和查询相结合的多文档自动摘要系统的设计:首先利用同义词词林计算句子语义相似度,通过对句子的聚类得到子主题,然后根据用户的查询对子主题进行重要度排序,在此基础上,采用一种动态的句子打分策略从各个主题中抽取句子生成摘要。实验结果表明生成的摘要冗余少,信息全面。
A multi-document summarization method based on sub topic partition and user＇s query is described in this paper.The similarity of sentences is measured by a thesaurus dictionary.Sub topics are found by sentence clustering and sorted by user＇s query.Then sentences from all sub topics are selected by using a dynamic strategy of scoring the sentences.The experiment result indicates that the summarization has less redundancy and more information.
出处
《计算机系统应用》
2011年第3期112-115,共4页
Computer Systems & Applications
关键词
多文档自动文摘
子主题
句子相似度
用户查询
multi-document summarization
sub topic
sentence similarity
user＇s query
