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, 16-17 Aug 2008, Manchester, UK.

Abstract

In this paper we describe the system submitted to the closed challenge of the CoNLL-2008 shared task on joint parsing of syntactic and semantic dependencies. The system that we present extracts syntactic and semantic dependencies independently. Syntactic dependencies are processed with the MaltParser 0.4. Semantic dependencies are processed with a combination of memory-based classifiers. We focus on the memory-based semantic role labeler, which achieves 71,88 labeled F1.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:5694
Deposited By:Vincent Van Asch
Deposited On:08 March 2010