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dc.contributor.author이건일-
dc.contributor.author이의현-
dc.contributor.author이종혁-
dc.date.accessioned2017-07-19T13:47:46Z-
dc.date.available2017-07-19T13:47:46Z-
dc.date.created2017-02-27-
dc.date.issued2017-01-
dc.identifier.issn2383-630X-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/37609-
dc.languageKorean-
dc.publisher한국정보과학회-
dc.relation.isPartOf정보과학회논문지-
dc.titleSequence-to-sequence 기반 한국어 형태소 분석 및 품사 태깅-
dc.typeArticle-
dc.type.rimsART-
dc.identifier.bibliographicCitation정보과학회논문지, v.44, no.1, pp.57 - 62-
dc.identifier.kciidART002191227-
dc.citation.endPage62-
dc.citation.number1-
dc.citation.startPage57-
dc.citation.title정보과학회논문지-
dc.citation.volume44-
dc.contributor.affiliatedAuthor이의현-
dc.contributor.affiliatedAuthor이종혁-
dc.description.journalClass2-
dc.description.journalClass2-
dc.subject.keywordAuthormorphological analysis-
dc.subject.keywordAuthorPOS Tagging-
dc.subject.keywordAuthorsequence-to-sequence model-
dc.subject.keywordAuthor형태소 분석-
dc.subject.keywordAuthor품사 태깅-
dc.subject.keywordAuthorsequence-to-sequence 모델-
dc.description.journalRegisteredClasskci-

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이종혁LEE, JONG HYEOK
Grad. School of AI
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