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Measure Semantic Similarity between English Words

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3 Author(s)
Jinwu Hu ; Sch. of Manage. & Econ., Beijing Inst. of Technol., Beijing ; Liuling Dai ; Bin Liu

Semantic similarity between two words is a fundamental issue for many natural language processing applications. The difficulty lies in that how to develop a computational method that is capable of generating satisfactory results close to what humans would perceive. In this paper, we proposed a novel approach to measure the semantic similarity between two English words by exploring the utility of HowNet, which is a valuable Chinese-English bilingual knowledge base. When compared with a benchmark set by human similarity judgment, the measures achieved by our algorithm are quite sound.

Published in:
Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for

Date of Conference: 18-21 Nov. 2008

Page(s):
1689 - 1694
E-ISBN :
978-0-7695-3398-8
Print ISBN:
978-0-7695-3398-8
INSPEC Accession Number:
10424023
Conference Location :
Hunan
Digital Object Identifier :
10.1109/ICYCS.2008.92
Product Type:
Conference Publications

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