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Received:August 14, 2010 Revised:August 30, 2010
Received:August 14, 2010 Revised:August 30, 2010
中文摘要: 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。
Abstract: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.
文章编号： 中图分类号： 文献标志码：
基金项目:
| Author Name | Affiliation |
| XU Xiao-Dan | Physics and Information Engineering College, Zhejiang Normal University, 321004, China |
| Author Name | Affiliation |
| XU Xiao-Dan | Physics and Information Engineering College, Zhejiang Normal University, 321004, China |
引用文本：
徐晓丹.基于子主题和用户查询的多文档摘要系统.计算机系统应用,2011,20(3):112-115
XU Xiao-Dan.Multi-Document Summarization System Based on Sub Topic Partition and User’s Query.COMPUTER SYSTEMS APPLICATIONS,2011,20(3):112-115
徐晓丹.基于子主题和用户查询的多文档摘要系统.计算机系统应用,2011,20(3):112-115
XU Xiao-Dan.Multi-Document Summarization System Based on Sub Topic Partition and User’s Query.COMPUTER SYSTEMS APPLICATIONS,2011,20(3):112-115
