Query-Focused Multi-Documents Summarization Using Genetic Algorithm

Jun Tang; Ji Chu Li

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

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HomeKey Engineering MaterialsKey Engineering Materials Vols. 460-461Query-Focused Multi-Documents Summarization Using...

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.

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Periodical:

Key Engineering Materials (Volumes 460-461)

Pages:

48-53

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.460-461.48

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Online since:

January 2011

Authors:

Jun Tang, Ji Chu Li

Keywords:

Genetic Algorithm (GA), Sentence Similarity, Summarization

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