Semantic role labelling of prepositional phrases

Authors:
Patrick Ye;Timothy Baldwin
Affiliations:
Department of Computer Science and Software Engineering, University of Melbourne, VIC, Australia;Department of Computer Science and Software Engineering, University of Melbourne, VIC, Australia
Venue:
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Year:
2005

Citing 5
Cited 0

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Abstract

We propose a method for labelling prepositional phrases according to two different semantic role classifications, as contained in the Penn treebank and the CoNLL 2004 Semantic Role Labelling data set. Our results illustrate the difficulties in determining preposition semantics, but also demonstrate the potential for PP semantic role labelling to improve the performance of a holistic semantic role labelling system.