计算机技术与发展2018,Vol.28Issue(3):26-31,6.DOI:10.3969/j.issn.1673-629X.2018.03.006
动态流形方法在多文档文摘模型上的应用
Application of Dynamic Manifold Method in Multi Document Summarization Model
摘要
Abstract
The identification and analysis of evolutionary information on the internet is an efficient means to get useful information,which has become a critic issue urgent to work out.Based on time information,starting from network dynamic evolution,the dynamic multi document summarization analyzes the document sets of different period about a same topic.On the basis of identifying the difference of information content,a summarization model can be built.Based on the classic manifold ranking model,we propose a dynamic manifold ranking model which not only adds some significant features,but also introduces some historical redundancy features and some time infor-mation feature,which make the information contained by abstract dynamic.An evaluation based on this model is conducted on the update task corpus of TAXT ANYNASIS CONFERENCE 2008 and a good testing result is obtained.关键词
动态多文档文摘/动态演化性/差异性分析/相似度/质心整体选优Key words
dynamic multi document summarization/dynamic evolution/difference analysis/similarity/overall centroid optimized分类
信息技术与安全科学引用本文复制引用
刘美玲,郑德权,王慧强,于洋..动态流形方法在多文档文摘模型上的应用[J].计算机技术与发展,2018,28(3):26-31,6.基金项目
中央高校基本科研业务费专项资金(2572014CB26) (2572014CB26)
黑龙江省自然科学基金(F2015037) (F2015037)