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Yarowsky algorithm

In computational linguistics the Yarowsky algorithm is an unsupervised learning algorithm for word sense disambiguation that uses the "one sense per… Expand
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Papers overview

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2015
2015
Word sense disambiguation (WSD) is the process of eliminating ambiguity that lies on some words by identifying the exact sense of… Expand
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2014
2014
김기현 교수님에 따르면, 의견 불일치 문제에 대해서 최근 토마스 켈리에 의해 발전된 전체증거 이론은 Bootstrapping… Expand
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2012
2012
Bootstrapping a classifier from a small set of seed rules can be viewed as the propagation of labels between examples via… Expand
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2009
2009
The Yarowsky bootstrapping algorithm resolves the homograph-level word sense disambiguation (WSD) problem, which is the sense… Expand
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2009
2009
The Yarowsky bootstrapping algorithm resolves the homograph-level word sense disambiguation (WSD) problem, which is the sense… Expand
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Highly Cited
2007
Highly Cited
2007
The Yarowsky algorithm is a rule-based semi-supervised learning algorithm that has been successfully applied to some problems in… Expand
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2007
2007
One may need to build a statistical parser for a new language, using only a very small labeled treebank together with raw text… Expand
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Highly Cited
2004
Highly Cited
2004
Many problems in computational linguistics are well suited for bootstrapping (semisupervised learning) techniques. The Yarowsky… Expand
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2004
2004
Many problems in computational linguistics are well suited for bootstrapping (semisupervised learning) techniques. The Yarowsky… Expand
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Highly Cited
2002
Highly Cited
2002
This paper refines the analysis of cotraining, defines and evaluates a new co-training algorithm that has theoretical… Expand
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