Dan Garrette
Ph.D. Alumni
Dan's research focuses on Natural Language Processing and Machine Learning.
Homepage:
http://www.dhgarrette.com/
Publications
     [Expand to show all 11][Minimize]
A Supertag-Context Model for Weakly-Supervised CCG Parser Learning 2015
Dan Garrette, Chris Dyer, Jason Baldridge, and Noah A. Smith , In Proceedings of the 2015 Conference on Computational Natural Language Learning (CoNLL-2015), pp. 22--31, Beijing, China 2015.
Inducing Grammars from Linguistic Universals and Realistic Amounts of Supervision 2015
Dan Garrette, PhD Thesis, Department of Computer Science, The University of Texas at Austin.
Unsupervised Code-Switching for Multilingual Historical Document Transcription 2015
Dan Garrette, Hannah Alpert-Abrams, Taylor Berg-Kirkpatrick, and Dan Klein , In Proceedings the 2015 Conference of the North American Chapter of the Association for Computational Linguistics -- Human Language Technologies (NAACL HLT 2015), pp. 1036--1041, Denver, Colora...
Weakly-Supervised Grammar-Informed Bayesian CCG Parser Learning 2015
Dan Garrette, Chris Dyer, Jason Baldridge, Noah A. Smith, In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15), Austin, TX, January 2015.
Weakly-Supervised Bayesian Learning of a CCG Supertagger 2014
Dan Garrette, Chris Dyer, Jason Baldridge, and Noah A. Smith, In Proceedings of the Eighteenth Conference on Computational Natural Language Learning (CoNLL-2014), pp. 141--150, Baltimore, MD, June 2014.
A Formal Approach to Linking Logical Form and Vector-Space Lexical Semantics 2013
Dan Garrette, Katrin Erk, Raymond J. Mooney, In Computing Meaning, Harry Bunt, Johan Bos, and Stephen Pulman (Eds.), Vol. 4, pp. 27--48, Berlin 2013. Springer.
Learning a Part-of-Speech Tagger from Two Hours of Annotation 2013
Dan Garrette, Jason Baldridge , Proceedings of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT-13) (2013), pp. 138--147.
Montague Meets Markov: Deep Semantics with Probabilistic Logical Form 2013
I. Beltagy, Cuong Chau, Gemma Boleda, Dan Garrette, Katrin Erk, Raymond Mooney, Proceedings of the Second Joint Conference on Lexical and Computational Semantics (*Sem-2013) (2013), pp. 11--21.
Real-World Semi-Supervised Learning of POS-Taggers for Low-Resource Languages 2013
Dan Garrette, Jason Mielens, and Jason Baldridge , Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL-2013) (2013), pp. 583--592.
Type-Supervised Hidden Markov Models for Part-of-Speech Tagging with Incomplete Tag Dictionaries 2012
Dan Garrette and Jason Baldridge, In Proceedings of the Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL 2012), pp. 821--831, Jeju, Korea, July 2012.
Integrating Logical Representations with Probabilistic Information using Markov Logic 2011
Dan Garrette, Katrin Erk, Raymond Mooney, In Proceedings of the International Conference on Computational Semantics, pp. 105--114, Oxford, England, January 2011.
Areas of Interest
Machine Learning Natural Language Processing Semi-Supervised Learning
Labs
Formerly affiliated with Machine Learning