Class Meeting for 10-710 11-22-2011
From Cohen Courses
Revision as of 16:11, 21 November 2011 by Wcohen (talk | contribs) (→Regularization and Unlabeled Data)
This is one of the class meetings on the schedule for the course Syllabus for Structured Prediction 10-210 in Fall 2011.
Regularization and Unlabeled Data
Required Readings
- Semi-supervised conditional random fields for improved sequence segmentation and labeling, Jiao et al, ACl 2006.
Optional Readings
- Efficient computation of entropy gradient for semi-supervised conditional random fields, Mann and McCallum, NAACL 2007.
- Learning from Labeled Features using Generalized Expectation Criteria, Druck, Mann, McCallum, SIGIR 2008.
- Adaptation of Maximum Entropy Capitalizer: Little Data Can Help a Lot. Chelba and Acero, EMNLP 2004: 285-292
