Session M6R: Machine Learning and Statistical Methods

Session chair: Hang Li

A Dynamic Bayesian Framework to Model Context and Memory in Edit Distance Learning: An Application to Pronunciation Classification
Karim Filali, Jeff Bilmes

Learning Stochastic OT Grammars: A Bayesian Approach Using Data Augmentation and Gibbs Sampling
Ying Lin

Contrastive Estimation: Training Log-Linear Models on Unlabeled Data
Noah A. Smith, Jason Eisner

Session M6M: Information Extraction

Session chair: Marti Hearst

Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling
Jenny Rose Finkel, Trond Grenager, Christopher D. Manning

Accurate Unsupervised Learning of Field Structure Models for Information Extraction
Trond Grenager, Dan Klein, Christopher D. Manning

A Semantic Approach to Unsupervised IE Pattern Induction
Mark Stevenson, Mark Greenwood