IR-685: (2008) Wallach, H., Sutton, C. and McCallum, A., "Bayesian Modeling of Dependency Trees Using Hierarchical Pitman-Yor Priors," Proceedings of the Workshop on Prior Knowledge for Text and language (in conjunction with ICML/UAI/COLT), pp. 15-20. [View Abstract] [View bibtex]
IR-682: (2008) Hall, R., Sutton, C. and McCallum, A., "Unsupervised Deduplication Using Cross-Field Dependencies," Proceedings 14th International SIGKDD Conference on Knowledge Discovery and Data Mining, pp.310-317. [View Abstract] [View bibtex]
IR-641: (2008) Sutton, C., "Efficient Training Methods for Conditional Random Fields," Ph.D. Dissertation, University of Massachusetts. 2008. [View Abstract] [View bibtex]
IR-597: (2007) Sutton, C. and McCallum, A., "Improved Dynamic Schedules for Belief Propagation," in the Proceedings of the Conference on Uncertainty in Artificial Intelligence, pp.376-383. [View Abstract] [View bibtex]
IR-579: (2007) Sutton, C. and McCallum, A., "Piecewise Pseudolikelihood for Efficient CRF Training," Proceedings of the International Conference on Machine Learning (ICML), pp. 376-383. [View Abstract] [View bibtex]
IR-497: (2007) Sutton, C., McCallum, A. and Rohanimanesh, K., "Dynamic conditional random fields: Factorized probabilistic models for labeling and segmenting sequence data.," in the Journal of Machine Learning Research, JMLR 8(Mar):693-723, 2007. [View Abstract] [View bibtex]
IR-465: (2006) Sutton, C. and McCallum, A., "An Introduction to Conditional Random Fields for Relational Learning," Introduction to Statistical Relational Learning. Edited by Lise Getoor and Ben Taskar. MIT Press. 2006, chapter 4, pp. 93-128. [View bibtex]
IR-462: (2005) Sutton, C., Sindelar, M. and McCallum, A., "Reducing Weight Undertraining in Structured Discriminative Learning," in the Proceedings of HLT/NAACL 2006, New York City,pp.89-95. [View Abstract] [View bibtex]
IR-457: (2006) Sutton, C., Pal, C. and McCallum, A., "Sparse forward-backward using minimum divergence beams for fast training of conditional random fields," in the Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), v. 5 pp. 581-584. [View Abstract] [View bibtex]
IR-456: (2005) Sutton, C., Pal, C. and McCallum, A., "Sparse Forward-Backward for Fast Training of Conditional Random Fields," NIPS 2005 Workshop on Structured Learning for Text and Speech Processing. Vancouver, 2005. [View bibtex]
IR-433: (2005) Pal, C., Sutton, C. and McCallum, A., "Fast Inference and Learning With Sparse Belief Propagation," CIIR Technical Report. [View Abstract] [View bibtex]
IR-423: (2005) Sutton, C. and McCallum, A., "Joint Parsing and Semantic Role Labeling," the Proceedings of the Ninth Conference on Computational Natural Language Learning, pp. 225-228. [View Abstract] [View bibtex]
IR-415: (2005) Sutton, C. and McCallum, A., "Piecewise Training for Undirected Models," Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence (UAI 2005), pp. 568-575. [View Abstract] [View bibtex]
IR-413: (2005) Sutton, C. and McCallum, A., "Composition of Conditional Random Fields for Transfer Learning," Proceedings of HLT/EMNLP 2005, pp. 748-754. [View Abstract] [View bibtex]
IR-403: (2005) Sutton, C. and McCallum, A., "Fast, Piecewise Training for Discriminative Finite-state and Parsing Models," CIIR Technical Report [View Abstract] [View bibtex]
IR-402: (2005) Sutton, C., Sindelar, M. and McCallum, A., "Feature Bagging: Preventing Weight Undertraining in Structured Discriminative Learning," CIIR Technical Report. [View Abstract] [View bibtex]
IR-383: (2004) McCallum, A. and Sutton, C., "Piecewise Training with Parameter Independence Diagrams: Comparing Globally- and Locally-trained Linear-chain CRFs," CIIR Technical Report; presented at NIPS 2004 Workshop on Learning with Structured Outputs. [View bibtex]
IR-377: (2005) Welling, M. and Sutton, C., "Learning in Markov Random Fields with Contrastive Free Energies," the online proceedings of AISTATS 2005, January 6-8, Barbados. [View bibtex]
IR-376: (2004) Sutton, C. and McCallum, A., "Collective Segmentation and Labeling of Distant Entities in Information Extraction," CmpSci Technical Report TR # 04-49, University of Massachusetts, July 2004. Presented at ICML Workshop on Statistical Relational Learning and Its Connections to Other Fields. Banff, Canada. [View Abstract] [View bibtex]
IR-348: (2004) Sutton, C., Rohanimanesh, K. and McCallum, A., "Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data ," Proceedings of the Twenty-First International Conference on Machine Learning, pp. 783-790. [View Abstract] [View bibtex]