UTCS Artificial Intelligence
Dan's research focuses on Natural Language Processing and Machine Learning.
dhg [at] cs utexas edu
A Formal Approach to Linking Logical Form and Vector-Space Lexical Semantics
Dan Garrette, Katrin Erk, Raymond J. Mooney, %RefShort%
Learning a Part-of-Speech Tagger from Two Hours of Annotation
Dan Garrette, Jason Baldridge , In
Proceedings of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT-13)
, 138--147, Atlanta, GA, June 2013.
Montague Meets Markov: Deep Semantics with Probabilistic Logical Form
Islam Beltagy, Cuong Chau, Gemma Boleda, Dan Garrette, Katrin Erk, Raymond Mooney, In
Proceedings of the Second Joint Conference on Lexical and Computational Semantics (*Sem-2013)
, 11--21, Atlanta, GA, June 2013.
Real-World Semi-Supervised Learning of POS-Taggers for Low-Resource Languages
Dan Garrette, Jason Mielens, and Jason Baldridge , To Appear In
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL-2013)
, 583--592, Sofia, Bulgaria, August 2013.
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)
, 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
, 105--114, Oxford, England, January 2011.
Areas of Interest
Natural Language Learning
Natural Language Processing