Measure Semantic Similarity between English Words

Author

HU, Jinwu ; DAI, Liuling ; Liu, Bin

Author_Institution

Sch. of Manage. & Econ., Beijing Inst. of Technol., Beijing

fYear

2008

fDate

18-21 Nov. 2008

Firstpage

1689

Lastpage

1694

Abstract

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.

Keywords

computational linguistics; knowledge based systems; natural language processing; Chinese-English bilingual knowledge base; English word; HowNet utility; natural language processing application; semantic similarity measure; Computer science; Conference management; Humans; Information retrieval; Joining processes; Knowledge management; Natural language processing; Solid modeling; Taxonomy; Technology management; Semantic similarity; bilingual knowledge base; hownet;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Hunan

Print_ISBN

978-0-7695-3398-8

Electronic_ISBN

978-0-7695-3398-8

Type

conf

DOI

10.1109/ICYCS.2008.92

Filename

4709227