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|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|
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