Automatic labeling of semantic roles
Computational Linguistics
Sparse bayesian learning and the relevance vector machine
The Journal of Machine Learning Research
Support Vector Learning for Semantic Argument Classification
Machine Learning
Introduction to the CoNLL-2005 shared task: semantic role labeling
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Semantic parsing for high-precision semantic role labelling
CoNLL '08 Proceedings of the Twelfth Conference on Computational Natural Language Learning
Introduction to the CoNLL-2005 shared task: semantic role labeling
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Distributed text classification with an ensemble kernel-based learning approach
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Generating extractive summaries of scientific paradigms
Journal of Artificial Intelligence Research
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We present an application of Sparse Bayesian Learning to the task of semantic role labeling, and we demonstrate that this method produces smaller classifiers than the popular Support Vector approach. We describe the classification strategy and the features used by the classifier. In particular, the contribution of six parse tree path features is investigated.