Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-27210-3_32
DC FieldValue
dc.titleA comparison of classifiers for detecting hedges
dc.contributor.authorKang, S.-J.
dc.contributor.authorKang, I.-S.
dc.contributor.authorNa, S.-H.
dc.date.accessioned2013-07-04T08:09:38Z
dc.date.available2013-07-04T08:09:38Z
dc.date.issued2011
dc.identifier.citationKang, S.-J.,Kang, I.-S.,Na, S.-H. (2011). A comparison of classifiers for detecting hedges. Communications in Computer and Information Science 264 CCIS : 251-257. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/978-3-642-27210-3_32" target="_blank">https://doi.org/10.1007/978-3-642-27210-3_32</a>
dc.identifier.isbn9783642272097
dc.identifier.issn18650929
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/40669
dc.description.abstractA hedge is a linguistic device used to avoid using a categorical sentence. Hedges can be used to determine whether a sentence is factual by merely regarding a sentence containing hedges as non-factual. In this paper, we perform a comparative experiment of various classification methods for hedge detection. Among four different classification methods, we observe that SVM shows the best performance and that the SVM-based method finally outperforms the best system in the CoNLL2010-ST task. © 2011 Springer-Verlag.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/978-3-642-27210-3_32
dc.sourceScopus
dc.subjectHedge Detection
dc.subjectInformation Extraction
dc.subjectMachine Learning
dc.subjectNatural Language Processing
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1007/978-3-642-27210-3_32
dc.description.sourcetitleCommunications in Computer and Information Science
dc.description.volume264 CCIS
dc.description.page251-257
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

2
checked on Aug 18, 2019

Page view(s)

92
checked on Aug 19, 2019

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.