DC Field | Value | Language |
---|---|---|
dc.contributor.author | 남상하 | ko |
dc.contributor.author | 최기선 | ko |
dc.date.accessioned | 2020-11-02T08:57:35Z | - |
dc.date.available | 2020-11-02T08:57:35Z | - |
dc.date.created | 2020-11-02 | - |
dc.date.created | 2020-11-02 | - |
dc.date.issued | 2019-12-18 | - |
dc.identifier.citation | 2019 한국소프트웨어종합학술대회 (KSC 2019) | - |
dc.identifier.uri | http://hdl.handle.net/10203/277063 | - |
dc.language | Korean | - |
dc.publisher | 한국정보과학회 | - |
dc.title | 크라우드소싱을 통한 원격 주석 학습 기반 관계 추출의 성능 개선 | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | 2019 한국소프트웨어종합학술대회 (KSC 2019) | - |
dc.identifier.conferencecountry | KO | - |
dc.identifier.conferencelocation | 평창 휘닉스파크 | - |
dc.contributor.localauthor | 최기선 | - |
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