PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

A combined memory-based semantic role labeler of English
Roser Morante, Walter Daelemans and Vincent Van Asch
In: 12th Conference on Computational Natural Language Learning, Manchester, UK(2008).

Abstract

We describe the system submitted to the closed challenge of the CoNLL-2008 shared task on joint parsing of syntactic and semantic dependencies. Syntactic dependencies are processed with the Malt- Parser 0.4. Semantic dependencies are processed with a combination of memorybased classifiers. The system achieves 78.43 labeled macro F1 for the complete problem, 86.07 labeled attachment score for syntactic dependencies, and 70.51 labeled F1 for semantic dependencies.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:4628
Deposited By:Walter Daelemans
Deposited On:13 March 2009