A Sequential Model for Multi-Class Classification. EMNLP ’01 (2001)
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BibTeX
@MISC{Even-zohar01asequential,
author = {Yair Even-zohar and Dan Roth},
title = {A Sequential Model for Multi-Class Classification. EMNLP ’01},
year = {2001}
}
Years of Citing Articles
OpenURL
Abstract
Many classification problems require decisions among a large number of competing classes. These tasks, however, are not handled well by general purpose learning methods and are usually addressed in an ad-hoc fashion. We suggest a general approach – a sequential learning model that utilizes classifiers to sequentially restrict the number of competing classes while maintaining, with high probability, the presence of the true outcome in the candidates set. Some theoretical and computational properties of the model are discussed and we argue that these are important in NLP-like domains. The advantages of the model are illustrated in an experiment in partof-speech tagging. 1







