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.
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Kang, SJ., Kang, IS., Na, SH. (2011). A Comparison of Classifiers for Detecting Hedges. In: Kim, Th., et al. U- and E-Service, Science and Technology. UNESST 2011. Communications in Computer and Information Science, vol 264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27210-3_32
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DOI: https://doi.org/10.1007/978-3-642-27210-3_32
Publisher Name: Springer, Berlin, Heidelberg
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