Use of support vector learning for chunk identification
2000Vol. 7, pp. 142–142
Citations Over TimeTop 1% of 2000 papers
Abstract
In this paper, we explore the use of Support Vector Machines (SVMs) for CoNLL-2000 shared task, chunk identification. SVMs are so-called large margin classifiers and are well-known as their good generalization performance. We investigate how SVMs with a very large number of features perform with the classification task of chunk labelling.
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