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author = Collins, Michael (21 entries)  Select: All None   Action: Show BibTeX

David Weiss, Chris Alberti, Michael Collins and Slav Petrov. 2015. Structured Training for Neural Network Transition-Based Parsing. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp 323--333, Beijing, China, July. Association for Computational Linguistics. [dparse] url annote google scholar
Michael Collins. 2013. The Naive Bayes Model, Maximum-Likelihood Estimation, and the EM Algorithm. (Lecture notes). [comp542] pdf pdf google scholar
Michael Collins. 2013. Tagging Problems, and Hidden Markov Models. (Lecture notes). [comp542] pdf pdf google scholar
Terry Koo and Michael Collins. 2010. Efficient Third-Order Dependency Parsers. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp 1--11, Uppsala, Sweden, July. Association for Computational Linguistics. [dparse, dparse.graph] url pdf google scholar
Jun Suzuki, Hideki Isozaki, Xavier Carreras and Michael Collins. 2009. An Empirical Study of Semi-supervised Structured Conditional Models for Dependency Parsing. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, pp 551--560, Singapore, August. Association for Computational Linguistics. [dparse, dparse.graph] pdf google scholar
Luke S Zettlemoyer and Michael Collins. 2009. Learning context-dependent mappings from sentences to logical form. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2-Volume 2, pp 976--984. Association for Computational Linguistics. cit 71. [semparse, d=atis] pdf pdf google scholar
Terry Koo, Xavier Carreras and Michael Collins. 2008. Simple Semi-supervised Dependency Parsing. In Proceedings of ACL-08: HLT, pp 595--603, Columbus, Ohio, June. Association for Computational Linguistics. [dparse, dparse.graph] pdf google scholar
Luke S Zettlemoyer and Michael Collins. 2007. Online learning of relaxed CCG grammars for parsing to logical form. In In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL-2007. Citeseer. cit 121. [semparse, d=atis, spf, d=geo, afz] pdf abstract annote google scholar
Michael Collins and Terry Koo. 2005. Discriminative reranking for natural language parsing. Computational Linguistics, vol 31, no 1, pp 25--70. MIT Press. [parsing] google scholar
Luke S Zettlemoyer and Michael Collins. 2005. Learning to map sentences to logical form: Structured classification with probabilistic categorial grammars. In Proceedings of the Twenty First Conference on Uncertainty in Artificial Intelligence (UAI). cit 214. [semparse, d=geo, d=jobs, spf, afz] pdf pdf annote google scholar
Brian Roark, Murat Saraclar, Michael Collins and Mark Johnson. 2004. Discriminative language modeling with conditional random fields and the perceptron algorithm. In Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics, pp 47. Association for Computational Linguistics. cit 125. [perceptron] google scholar
Michael Collins and Brian Roark. 2004. Incremental parsing with the perceptron algorithm. In Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics, pp 111. Association for Computational Linguistics. cit 214. [perceptron] google scholar
Michael Collins. 2002. Ranking algorithms for named-entity extraction: Boosting and the voted perceptron. In Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, pp 489--496. Association for Computational Linguistics. cit 231. [perceptron] google scholar
Michael Collins and Nigel Duffy. 2002. New ranking algorithms for parsing and tagging: Kernels over discrete structures, and the voted perceptron. In Proceedings of the 40th annual meeting on association for computational linguistics, pp 263--270. Association for Computational Linguistics. cit 480. [perceptron] google scholar
Michael Collins. 2002. Discriminative training methods for hidden markov models: Theory and experiments with perceptron algorithms. In Proceedings of the ACL-02 conference on Empirical methods in natural language processing-Volume 10, pp 1--8. Association for Computational Linguistics. cit 1308. [comp542, perceptron] pdf annote google scholar
Michael Collins and Nigel Duffy. 2001. Convolution Kernels for Natural Language. In NIPS. [parsing] ps google scholar
Michael Collins, Nigel Duffy, et al. 2001. Convolution kernels for natural language. In NIPS, vol 2001, pp 625--632. cit 706. [perceptron] google scholar
Michael Collins. 1997. Three generative, lexicalised models for statistical parsing. In Proceedings of the 35th Annual Meeting of the ACL. [NLP] google scholar
Michael Collins. 1997. The EM algorithm. A review of three papers: (Dempster, Laird and Rubin 1977), (Wu 1983), and (Jamshidian and Jennrich 1993).. [comp542] ps pdf google scholar
Michael Collins. 1996. A new statistical parser based on bigram lexical dependencies. In Proceedings of the 34th Annual Meeting of the ACL. [NLP] google scholar
Michael Collins and James Brooks. 1995. Prepositional phrase attachment through a backed-off model. In Proceedings of the Third Workshop on Very Large Corpora. [NLP] google scholar

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