Use of support vector learning for chunk identification
作者： Taku Kudoh , Yuji Matsumoto
关键词: Machine learning 、 Task (project management) 、 Pattern recognition 、 Identification (information) 、 Computer science 、 Large numbers 、 Support vector machine 、 Generalization 、 Artificial intelligence 、 Margin (machine learning)
摘要: 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 well-known as their good generalization performance. We investigate how with a very number features perform classification task labelling.
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