Sparse Bayesian Classification of Predicate Arguments

摘要

We present an application of SparseBayesian Learning to the task of semanticrole labeling, and we demonstrate that thismethod produces smaller classifiers thanthe popular Support Vector approach.We describe the classification strategy andthe features used by the classifier. In particular,the contribution of six parse treepath features is investigated.