UTCS Artificial Intelligence
Dan's research focuses on Natural Language Processing and Machine Learning.
dhg [at] cs utexas edu
Weakly-Supervised Grammar-Informed Bayesian CCG Parser Learning
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
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
Dan Garrette, Katrin Erk, Raymond J. Mooney, In
, 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
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
Islam 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
Dan Garrette, Jason Mielens, and Jason Baldridge , To Appear
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
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
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
Natural Language Learning
Natural Language Processing
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