Evaluation method of automatic summarization calculating the similarity of text based on HowNet

Author

Suo, Hong-Guang ; Zhang, Jing-Jing

Author_Institution

Coll. of Comput. & Commun. Eng., China Univ. of Pet. (East China), Dongying, China

Volume

3

fYear

2010

fDate

29-31 Oct. 2010

Firstpage

534

Lastpage

537

Abstract

In order to do automatic evaluation for summarization much more accurately and efficiently, this paper analyzed the present evaluation methods of automatic summarization concretely, and pointed out the shortcoming of these evaluation methods. Based on the method of vector space model, it presents an evaluation method of automatic summarization calculating the similarity of text based on HowNet. It analyzes the meaning of words concretely using HowNet in the vector space model, considering the effect of part of speech serving as role in the sentences when calculating the weight of feature item and improving the formula of weight of feature item. The experiment shows that evaluation result of this method is better than that of P/R and the method based on the similarity of text.

Keywords

text analysis; vectors; HowNet; automatic summarization method; feature item weight; part-of-speech effect; text similarity; vector space model; Computational modeling; Information filters; Lead; automatic summarization; evaluation measure; similarity; vector space model;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on

Conference_Location

Xiamen

Print_ISBN

978-1-4244-6582-8

Type

conf

DOI

10.1109/ICICISYS.2010.5658292

Filename

5658292