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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 | 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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