Syntactic kernels for natural language learning: the semantic role labeling case

Authors:
Alessandro Moschitti
Affiliations:
University of Rome "Tor Vergata", Rome, Italy
Venue:
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Year:
2006

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Abstract

In this paper, we use tree kernels to exploit deep syntactic parsing information for natural language applications. We study the properties of different kernels and we provide algorithms for their computation in linear average time. The experiments with SVMs on the task of predicate argument classification provide empirical data that validates our methods.