DocumentCode :
493621
Title :
Research on Automatic Abstracting of WebPages Based on User-Demand
Author :
Xu, Xiaodan
Author_Institution :
Math., Phys. & Inf. Eng. Coll., Zhejiang Normal Univ., Jinhua
Volume :
2
fYear :
2009
fDate :
7-8 March 2009
Firstpage :
142
Lastpage :
145
Abstract :
Automatic abstracting is a practical and difficult branch in natural language processing, which becomes an important problem in some domains such as Internet information retrieval. This paper presents a new automatic abstracting method on the basis of traditional method, which adds the sentence weight based on user-demand into the sentence importance. The user-demand consists of the keywords that user queried. The experimental results show that this method can improve the accuracy of searching information.
Keywords :
Internet; abstracting; information retrieval; Internet information retrieval; Web pages; automatic abstracting; natural language processing; user-demand; Cleaning; Computer science education; Educational technology; HTML; Information retrieval; Internet; Pattern matching; Physics education; Statistical analysis; Web pages; automatic abstracting; information retrieval; the sentence weight;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
Type :
conf
DOI :
10.1109/ETCS.2009.293
Filename :
4959007
Link To Document :
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