Paper Title:
Text Summarization Using Hybrid Parallel Genetic Algorithm
  Abstract

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, X. R. Wang, "Text Summarization Using Hybrid Parallel Genetic Algorithm", Advanced Materials Research, Vols. 271-273, pp. 154-157, 2011
Online since
July 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Dong Wang, Shi Huan Xiong
Chapter 8: Nanomaterials and Nanomanufacturing
Abstract:The learning sequence is an important factor of affecting the study effect about incremental Bayesian classifier. Reasonable learning...
1455
Authors: Da Wang, Hong Yu Bian
Chapter 1: Mechatronics
Abstract:In order to further improve the accuracy of the sonar image registration, a novel hybrid algorithm was proposed. It proposed the normalized...
1811
Authors: Xue Feng Wu, Yu Fan
Chapter 6: Mechatronics
Abstract:A new algorithms for parameters of an image irregular boundary circle parameters is presented, which is based on “Curve-Approximate Method”...
639
Authors: Rui Ni Li, Xiao Yi Wang, Zai Wen Liu, Ji Ping Xu, Ling Bin Wang
Chapter 4: Waste Disposal and Recycling
Abstract:Various unusual conditions are likely to occur during sewage treatment process, which would lead to some consequences such as the decrease of...
622
Authors: Yen Che Chang, Kuei Ting Kuo, Zih Yi Wang, Chuin Mu Wang
Chapter 4: Mathematical Analysis, Computer Science, Communication and Information Technologies
Abstract:In the past, doctors judged images based on their own medical knowledge. Nowadays, the digital image processing technology can alleviate the...
872