Shallow Parsing using Specialized HMMs.
On Using Extended Statistical Queries to Avoid Membership Queries.
Shallow Parsing using Noisy and Non-Stationary Training Material.
Machine Learning with Data Dependent Hypothesis Classes.
Learning Equivalence Classes of Bayesian-Network Structures.
Covering Number Bounds of Certain Regularized Linear Function Classes.
Text Chunking based on a Generalization of Winnow.
Text Classification using String Kernels.
Introduction to Special Issue on Machine Learning Approaches to Shallow Parsing.
Memory-Based Shallow Parsing.
Shallow Parsing with PoS Taggers and Linguistic Features.
The Learning-Curve Sampling Method Applied to Model-Based Clustering.
Stability and Generalization.
Learning Rules and Their Exceptions.
Recommender Systems Using Linear Classifier.
Round Robin Classification.