Paper Title:
Query-Focused Multi-Documents Summarization Using Genetic Algorithm
  Abstract

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, 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
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