Please use this identifier to cite or link to this item:
|Title:||A comparison of classifiers for detecting hedges||Authors:||Kang, S.-J.
Natural Language Processing
|Issue Date:||2011||Citation:||Kang, 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. https://doi.org/10.1007/978-3-642-27210-3_32||Abstract:||A 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.||Source Title:||Communications in Computer and Information Science||URI:||http://scholarbank.nus.edu.sg/handle/10635/40669||ISBN:||9783642272097||ISSN:||18650929||DOI:||10.1007/978-3-642-27210-3_32|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Aug 18, 2019
checked on Aug 19, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.