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Korean Word Sense Disambiguation using Parallel Corpus as Additional Resource

Title
Korean Word Sense Disambiguation using Parallel Corpus as Additional Resource
Authors
CHUNGEN, LI
Date Issued
2013
Publisher
포항공과대학교
Abstract
Most previous research on Korean Word Sense Disambiguation (WSD) were focusing on unsupervised corpus-based or knowledge-based approach because they suffered from lack of sense-tagged Korean corpora. Recently, along with great effort of constructing sense-tagged Korean corpus by government and researchers, finding appropriate features for supervised learning approach and improving its prediction accuracy became an issue. To achieve higher word-sense prediction accuracy, this paper aimed to find most appropriate features for Korean WSD based on Conditional Random Field (CRF) approach. Also, we utilized Korean-Japanese parallel corpus to enlarge size of sense-tagged corpus, and improved prediction accuracy with it. Experimental result reveals that our method can achieve 95.67\% of prediction accuracy.
URI
http://postech.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000001622516
http://oasis.postech.ac.kr/handle/2014.oak/1953
Article Type
Thesis
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