Text Summarization Using Hybrid Parallel Genetic Algorithm

Abstract:

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This paper proposes a special Chinese automatic summarization method based on Concept-Obtained and Improved K-means Algorithm. The idea of our approach is to obtain concepts of words based on HowNet, and use concept as feature, instead of word. We use conceptual vector space model and Improved K-means Algorithm to form a summarization. Experimental results indicate a clear superiority of the proposed method over the traditional method under the proposed evaluation scheme.

Info:

Periodical:

Advanced Materials Research (Volumes 271-273)

Edited by:

Junqiao Xiong

Pages:

154-157

DOI:

10.4028/www.scientific.net/AMR.271-273.154

Citation:

X. L. Tang and X. R. Wang, "Text Summarization Using Hybrid Parallel Genetic Algorithm", Advanced Materials Research, Vols. 271-273, pp. 154-157, 2011

Online since:

July 2011

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Price:

$35.00

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