Gregory Druck

According to our database, Gregory Druck authored at least 12 papers between 2006 and 2014.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2014

Overview of the NTCIR-11 Cooking Recipe Search Task.

Michiko Yasukawa, Fernando Diaz, Gregory Druck, Nobu Tsukada

Proceedings of the 11th NTCIR Conference on Evaluation of Information Access Technologies, 2014

2012

Spice it up? Mining Refinements to Online Instructions from User Generated Content.

Gregory Druck, Bo Pang

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011

Toward interactive training and evaluation.

Gregory Druck, Andrew McCallum

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Rich Prior Knowledge in Learning for Natural Language Processing.

Gregory Druck, Kuzman Ganchev, João Graça

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

2010

High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models.

Gregory Druck, Andrew McCallum

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

Alternating Projections for Learning with Expectation Constraints.

Kedar Bellare, Gregory Druck, Andrew McCallum

Proceedings of the UAI 2009, 2009

Active Learning by Labeling Features.

Gregory Druck, Burr Settles, Andrew McCallum

Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria.

Gregory Druck, Gideon S. Mann, Andrew McCallum

Proceedings of the ACL 2009, 2009

2008

Learning from labeled features using generalized expectation criteria.

Gregory Druck, Gideon S. Mann, Andrew McCallum

Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

2007

Learning A* underestimates: Using inference to guide inference.

Gregory Druck, Mukund Narasimhan, Paul A. Viola

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Semi-supervised classification with hybrid generative/discriminative methods.

Gregory Druck, Chris Pal, Andrew McCallum, Xiaojin Zhu

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

2006

Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification.

Andrew McCallum, Chris Pal, Gregory Druck, Xuerui Wang

Proceedings of the Proceedings, 2006