Unsupervised Models for Named Entity Classification

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Unsupervised Models for Named Entity Classification (1999)

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by Michael Collins , Yoram Singer

Venue:	In Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora
Citations:	531 - 4 self

Citations

11681	Maximum likelihood from incomplete data via the EM algorithm - Dempster, Laird, et al. - 1977
3401	A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting - Freund, Schapire - 1997
1960	A theory of the learnable - Valiant - 1984
1598	T.: Combining labeled and unlabeled data with co-training - Blum, Mitchell - 1998
1234	Automatic acquisition of hyponyms from large text corpora - Hearst - 1992
926	Improved boosting algorithms using confidence-rated predictions - Schapire, Singer - 1999
849	The Strength of Weak Learnability - Schapire - 1990
486	A New Statistical Parser Based on Bigram Lexical Dependencies - Collins - 1996
459	Extracting Patterns and Relations from the World Wide Web - Brin - 1999
371	Learning Dictionaries for Information Extraction by Multi-level Bootstrapping - Riloff, Jones - 1999
323	Nymble: a HighPerformance Learning Name-finder - Bikel, Miller, et al. - 1997
272	Finding parts in very large corpora - Berland, Charniak - 1999
135	A corpus-based approach for building semantic lexicons - Riloff, Shepherd - 1997
128	Unsupervised learning of disambiguation rules for part of speech tagging - Brill - 1995
41	Additive models, boosting, and inference for generalized divergences - Lafferty - 1999
12	Thoughts on hypothesis boosting": Unpublished manuscript [Online] available: http://www.citeulike.org/user/seb1/article/5980850 - Kearns - 1988
4	A New Statistical Parser Based on Bigram - Collins - 1996
2	A decision-theoretic generalization of on-line learning and an application to boosting - Information, Computation - 1995