DocumentCode
2040343
Title
Multi-Document Summarization Using Clustering Algorithm
Author
Ma, Xiao-Chen ; Yu, Gui-Bin ; Ma, Liang
Author_Institution
Sch. of Mech. Eng., Tianjin Univ., Tianjin
fYear
2009
fDate
23-24 May 2009
Firstpage
1
Lastpage
4
Abstract
This paper treat the query sentence as common sentence segmented from multi-documents set for multi-document summarization, and mixed it into sentences set, then this paper create efficient cluster algorithm to cluster all the sentences, The clusters which contain the query sentence will be merged to one cluster, and modified MMR will be used to extract summary sentences. Experimental result shows that the proposed cluster algorithm is efficient.
Keywords
document handling; pattern clustering; clustering algorithm; multidocument summarization; query sentence; Clustering algorithms; Computer science; Data mining; Educational institutions; Filters; Flowcharts; Iterative algorithms; Kernel; Mechanical engineering; Petroleum;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-3893-8
Electronic_ISBN
978-1-4244-3894-5
Type
conf
DOI
10.1109/IWISA.2009.5072965
Filename
5072965
Link To Document