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Word Sense Disambiguation of Predicate using Semi-supervised Learning and Sejong Electronic Dictionary
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 Title & Authors
Word Sense Disambiguation of Predicate using Semi-supervised Learning and Sejong Electronic Dictionary
Kang, Sangwook; Kim, Minho; Kwon, Hyuk-chul; Oh, Jyhyun;
 
 Abstract
The Sejong Electronic(machine-readable) Dictionary, developed by the 21st century Sejong Plan, contains systematically organized information on Korean words. It helps to solve problems encountered in the electronic formatting of the still-commonly-used hard-copy dictionary. The Sejong Electronic Dictionary, however has a limitation relate to sentence structure and selection-restricted nouns. This paper discuses the limitations of word-sense disambiguation(WSD) that uses subcategorization information suggested by the Sejong Electronic Dictionary and generalized selection-restricted nouns from the Korean Lexico-semantic network. An alternative method that utilized semi-supervised learning, the chi-square test and some other means to make WSD decisions is presented herein.
 Keywords
word sense disambiguation;Sejong electronic dictionary;Korean WordNet;Korean lexico-semantic network;semi-supervised learning;
 Language
Korean
 Cited by
1.
지지벡터기계를 이용한 단어 의미 분류,박준혁;이성욱;

정보처리학회논문지:소프트웨어 및 데이터공학, 2016. vol.5. 11, pp.563-568 crossref(new window)
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