Use of support vector learning for chunk identification

Authors:
Taku Kudoh;Yuji Matsumoto
Affiliations:
Nara Institute of Science and Technology;Nara Institute of Science and Technology
Venue:
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Year:
2000

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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.