The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 32-360
Full Name: Gang Lu
Position: Associate Professor
Age: ON
Sex: Male
Address: 18 Xueyuan Street, Xiasha, Hangzhou
Country: CHINA
Tel: 86-571-87557123
Tel prefix:
Fax:
E-mail address: hz_lugang@163.com
Other E-mails:
Title of the Paper: a new semantic similarity measuring method based on web search engines
Authors as they appear in the Paper:
Email addresses of all the authors: GANG LU, PENG HUANG, LIJUN HE, CHANGYONG CU AND XIAOBO LIU
Number of paper pages: 10
Abstract: Word semantic similarity measurement is a basic research area in the fields of natural language processing, intelligent retrieval, document clustering, document classification, automatic question answering, word sense disambiguation, machine translation, etc.. To address the issues existing in current approaches to word semantic similarity measurement, such as the low term coverage and difficult update, a novel word semantic similarity measurement method based on web search engines is proposed, which exploits the information, including page count and snippets, in retrieved results to do calculation. The proposed method can resolve the issues mentioned above due to the huge volumes of information in the Web. The experimental results demonstrate the effectiveness of the proposed methods.
Keywords: Web search engine,Semantic similarity,Intelligent retrieval,Word semantics,WordNet
EXTENSION of the file: .doc
Special (Invited) Session:
Organizer of the Session:
How Did you learn about congress: Soukai Zhang, 18 Xueyuan Street, Xiasha, Hangzhou, China 310018, library@zufe.edu.cn
IP ADDRESS: 122.234.66.41
