Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification. - Andrew McCallum; Chris Pal; Gregory Druck; Xuerui Wang (AAAI, 2006)

Semi-supervised classification with hybrid generative/discriminative methods. - Gregory Druck; Chris Pal; Andrew McCallum; Xiaojin Zhu 001 (KDD, 2007)

Learning A* underestimates: Using inference to guide inference. - Gregory Druck; Mukund Narasimhan; Paul A. Viola (AISTATS, 2007)

Learning from labeled features using generalized expectation criteria. - Gregory Druck; Gideon S. Mann; Andrew McCallum (SIGIR, 2008)

Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria. - Gregory Druck; Gideon S. Mann; Andrew McCallum (ACL/IJCNLP, 2009)

Active Learning by Labeling Features. - Gregory Druck; Burr Settles; Andrew McCallum (EMNLP, 2009)

Alternating Projections for Learning with Expectation Constraints. - Kedar Bellare; Gregory Druck; Andrew McCallum (UAI, 2009)

High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models. - Gregory Druck; Andrew McCallum (ICML, 2010)

Rich Prior Knowledge in Learning for Natural Language Processing. - Gregory Druck; Kuzman Ganchev; João Graça (ACL (Tutorial Abstracts), 2011)

Toward interactive training and evaluation. - Gregory Druck; Andrew McCallum (CIKM, 2011)

Spice it up? Mining Refinements to Online Instructions from User Generated Content. - Gregory Druck; Bo Pang (ACL (1), 2012)

Overview of the NTCIR-11 Cooking Recipe Search Task. - Michiko Yasukawa; Fernando Diaz 001; Gregory Druck; Nobu Tsukada (NTCIR, 2014)