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학술지 Automatic Acronym Dictionary Construction Based on Acronym Generation Types
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저자
윤여찬, 박소영, 송영인, 임해창, 리대웅
발행일
200805
출처
IEICE Transactions on Information and Systems, v.E91-D no.5, pp.1584-1587
ISSN
0916-8532
출판사
일본, 전자정보통신학회 (IEICE)
DOI
https://dx.doi.org/10.1093/ietisy/e91-d.5.1584
협약과제
08MS3700, 웹 QA 기술개발, 장명길
초록
In this paper, we propose a new model of automatically constructing an acronym dictionary. The proposed model generates possible acronym candidates from a definition, and then verifies each acronymdefinition pair with a Naive Bayes classifier based on web documents. In order to achieve high dictionary quality, the proposed model utilizes the characteristics of acronym generation types: a syllable-based generation type, a word-based generation type, and a mixed generation type. Compared with a previous model recognizing an acronym-definition pair in a document, the proposed model verifying a pair in web documents improves approximately 50% recall on obtaining acronym-definition pairs from 314 Korean definitions. Also, the proposed model improves 7.25% F-measure on verifying acronym-definition candidate pairs by utilizing specialized classifiers with the characteristics of acronym generation types. Copyright © 2008 The Institute of Electronics, Information and Communication Engineers.
키워드
Acronym, Automatic dictionary construction
KSP 제안 키워드
Dictionary construction, F-measure, Information and communication, New model, Proposed model, Web Documents, Word-based, naive Bayes classifier