Combining labeled and unlabeled data with co-training
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Unsupervised word sense disambiguation rivaling supervised methods
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Weakly-supervised relation classification for information extraction
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Semisupervised learning from different information sources
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Named entity recognition for Catalan using Spanish resources
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Bootstrapping statistical parsers from small datasets
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Weakly supervised natural language learning without redundant views
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Example selection for bootstrapping statistical parsers
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AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
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This paper refines the analysis of co-training, defines and evaluates a new co-training algorithm that has theoretical justification, gives a theoretical justification for the Yarowsky algorithm, and shows that co-training and the Yarowsky algorithm are based on different independence assumptions.