• KIISE Transactions on Computing Practices
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• v.22 no.2
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• pp.107-112
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• 2016

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.

• KIISE Transactions on Computing Practices
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• v.21 no.7
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• pp.500-505
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• 2015

The Sejong Electronic(machine readable) Dictionary, which was developed by the 21 century Sejong Plan, contains a systematic of immanence information of Korean words. It helps in solving the problem of electronical presentation of a general text dictionary commonly used. Word sense disambiguation problems can also be solved using the specific information available in the Sejong Electronic Dictionary. However, the Sejong Electronic Dictionary has a limitation of suggesting structure of sentences and selection-restricted nouns. In this paper, we discuss limitations of word sense disambiguation by using subcategorization information as suggested by the Sejong Electronic Dictionary and generalize selection-restricted noun of argument using Korean Lexico-semantic network.

• Proceedings of the Korean Society for Cognitive Science Conference
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• 2005.05a
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• pp.267-272
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• 2005

최근 들어 온톨로지(ontology), 시소러스(thesaurus) 등과 함께 주목받고 있는 Princeton 대학의 워드넷(WordNet, 이하 PWN) 은 자연어 처리(NLP)와 관련하여 대안을 제시할 수 있는 어휘의미망(lexico-semantic network)이다. 또한 PWN을 기반으로 상이한 개별어 어휘의미망 구축이 여러 차례 시도되었고, 현재도 진행 중이다. 본 연구는 간접 구축 방식에 의한 어휘의미망 구축 시 요구되는 정제(refinement) 방식들을 검토하고, 이를 한국어 명사 어휘의미망(KL)에 적용하여 정확도 검증 방법의 한 대안으로 제시하였다. 또한 보다 정교한 정제 방법의 모색과 고찰은 향후 과제로 삼고자 한다.