Paper: Syntactic Kernels For Natural Language Learning: The Semantic Role Labeling Case

ACL ID N06-2025
Title Syntactic Kernels For Natural Language Learning: The Semantic Role Labeling Case
Venue Human Language Technologies
Session Short Paper
Year 2006
Authors

In this paper, we use tree kernels to exploit deep syntactic parsing information for nat- ural language applications. We study the properties of different kernels and we pro- vide 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.