Query-Focused Multi-Documents Summarization Using Genetic Algorithm

Abstract:

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For the explosion of information in the World Wide Web, this paper proposed a new method of query-focused multi-documents summarization using genetic algorithm, search engine are used to extract relevant documents, genetic algorithm is used to extract the sentences to form a summary, and it is based on a fitness function formed by three factors: query-focused feature, importance feature, and non-redundancy feature. Experimental result shows that the proposed summarization method can improve the performance of summary, genetic algorithm is efficient.

Info:

Periodical:

Key Engineering Materials (Volumes 460-461)

Edited by:

Yanwen Wu

Pages:

48-53

DOI:

10.4028/www.scientific.net/KEM.460-461.48

Citation:

J. Tang and J. C. Li, "Query-Focused Multi-Documents Summarization Using Genetic Algorithm", Key Engineering Materials, Vols. 460-461, pp. 48-53, 2011

Online since:

January 2011

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Price:

$35.00

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