Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-27210-3_32
Title: A comparison of classifiers for detecting hedges
Authors: Kang, S.-J.
Kang, I.-S.
Na, S.-H. 
Keywords: Hedge Detection
Information Extraction
Machine Learning
Natural Language Processing
Issue Date: 2011
Source: 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
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