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http://dx.doi.org/10.5916/jkosme.2014.38.4.444

Word sense disambiguation using dynamic sized context and distance weighting  

Lee, Hyun Ah (Department of Computer Software Engineering, Kumoh National Institute of Technology)
Abstract
Most researches on word sense disambiguation have used static sized context regardless of sentence patterns. This paper proposes to use dynamic sized context considering sentence patterns and distance between words for word sense disambiguation. We evaluated our system 12 words in 32,735sentences with Sejong POS and sense tagged corpus, and dynamic sized context showed 92.2% average accuracy for predicates, which is better than accuracy of static sized context.
Keywords
Homograph; Sense disambiguation; Dynamic sized context; Distance weight; Sejong corpus;
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Times Cited By KSCI : 7  (Citation Analysis)
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