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http://dx.doi.org/10.5392/JKCA.2012.12.06.041

Word Sense Disambiguation using Korean Word Space Model  

Park, Yong-Min (충북대학교 디지털정보융합학과/컴퓨터정보통신연구소)
Lee, Jae-Sung (충북대학교 디지털정보융합학과/컴퓨터정보통신연구소)
Publication Information
The Journal of the Korea Contents Association / v.12, no.6, 2012 , pp. 41-47 More about this Journal
Abstract
Various Korean word sense disambiguation methods have been proposed using small scale of sense-tagged corpra and dictionary definitions to calculate entropy information, conditional probability, mutual information and etc. for each method. This paper proposes a method using Korean Word Space model which builds word vectors from a large scale of sense-tagged corpus and disambiguates word senses with the similarity calculation between the word vectors. Experiment with Sejong morph sense-tagged corpus showed 94% precision for 200 sentences(583 word types), which is much superior to the other known methods.
Keywords
Word Sense Disambiguation; Word Space Model; Word Vector; Homograph;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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