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New Technology of Library and Information Service  2012, Vol. 28 Issue (7): 82-89    DOI: 10.11925/infotech.1003-3513.2012.07.13
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Survey of the State of the Art in Word Similarity
Liu Ping, Chen Ye
Center for the Studies of Information Resources, Wuhan University, Wuhan 430072, China
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Abstract  This paper provides a comprehensive review on word similarity measuring methods in two categories, with background knowledge and without background knowledge. The statistical method without background knowledge cannot reveal the semantic relations between words, and the thesaurus provides limited scope of words. Wikipedia, as a large corpus comprising semantic knowledgebase, becomes the new sources for measuring semantic similarity between words. Three new Wiki-based methods, WikiWalk, conceptual graph, and temporal semantic analysis are described in details. The future directions of this field continue to combine Wikipedia and other background information as complementary semantic resources. In addition, characterizing relatedness between words by performing a complex network analysis is also a future challenge.
Key wordsWord similarity      Semantic relatedness      Similarity measures     
Received: 27 May 2012      Published: 11 October 2012
: 

TP391

 

Cite this article:

Liu Ping, Chen Ye. Survey of the State of the Art in Word Similarity. New Technology of Library and Information Service, 2012, 28(7): 82-89.

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https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2012.07.13     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2012/V28/I7/82

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