Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김영민 | - |
dc.date.accessioned | 2016-09-22T00:19:39Z | - |
dc.date.available | 2016-09-22T00:19:39Z | - |
dc.date.issued | 2015-01 | - |
dc.identifier.citation | Lecture Notes in Electrical Engineering, v. 330, page. 1101-1107 | - |
dc.identifier.issn | 1876-1100 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/23277 | - |
dc.identifier.uri | https://link.springer.com/chapter/10.1007/978-3-662-45402-2_156 | - |
dc.description.abstract | While training set design has received less attention from academia compared to its significance, it becomes crucial in big data environments. We propose a novel way to construct a training set for information extraction. An effective data collection considering the trade-off between system quality and annotation difficulty is the core of the proposed approach. Instead of a random collection of data like usual systems, well-defined key expressions are used as sampling queries. This work is a part of an on-going R&D project and now in process of manual annotation that would be evaluated via final system quality. | - |
dc.language.iso | en | - |
dc.publisher | Springer | - |
dc.subject | Training set | - |
dc.subject | Information Extraction | - |
dc.subject | Relation & Event Extraction | - |
dc.title | On Designing an Effective Training Set for Information Extraction | - |
dc.type | Article | - |
dc.identifier.doi | 10.1007/978-3-662-45402-2_156 | - |
dc.relation.journal | Lecture Notes in Electrical Engineering | - |
dc.contributor.googleauthor | Kim, Young-Min | - |
dc.contributor.googleauthor | Song, Sa-Kwang | - |
dc.contributor.googleauthor | Shin, Sungho | - |
dc.contributor.googleauthor | Seon, Choong-Nyoung | - |
dc.contributor.googleauthor | Hong,Seunggyun | - |
dc.contributor.googleauthor | Jung, Hanmin | - |
dc.relation.code | 2015031767 | - |
dc.sector.campus | S | - |
dc.sector.daehak | GRADUATE SCHOOL OF TECHNOLOGY & INNOVATION MANAGEMENT[S] | - |
dc.identifier.pid | yngmnkim | - |
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