DocumentCode
2296000
Title
Query-focused Summarization Based on Genetic Algorithm
Author
Zhao, Xiaojuan ; Tang, Jun
Author_Institution
Dept. of Inf. Eng., Hunan Urban Constr. Coll., Xiangtan, China
Volume
2
fYear
2010
fDate
13-14 March 2010
Firstpage
968
Lastpage
971
Abstract
This paper proposed a new method of query-focused multi-documents summarization based on genetic algorithm, genetic algorithm is used to extract the sentences to form a summary, and it is based on a fitness function formed by three factors. Experimental result shows that the proposed summarization method can improve the performance of summary, genetic algorithm is efficient.
Keywords
document handling; genetic algorithms; query formulation; fitness function; genetic algorithm; query-focused multidocuments summarization; Algorithm design and analysis; Ant colony optimization; Automation; Character generation; Clustering algorithms; Frequency; Genetic algorithms; Mechatronics; Proposals; Steady-state; genetic algorithm; sentence similarity; summarization;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location
Changsha City
Print_ISBN
978-1-4244-5001-5
Electronic_ISBN
978-1-4244-5739-7
Type
conf
DOI
10.1109/ICMTMA.2010.429
Filename
5459613
Link To Document