Semantic role labeling via consensus in pattern-matching

Authors:
Chi-San (Althon) Lin;Tony C. Smith
Affiliations:
Waikato University, Hamilton, New Zealand;Waikato University, Hamilton, New Zealand
Venue:
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Year:
2005

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Introduction to the CoNLL-2005 shared task: semantic role labeling

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Abstract

This paper describes a system for semantic role labeling for the CoNLL2005 Shared task. We divide the task into two sub-tasks: boundary recognition by a general tree-based predicate-argument recognition algorithm to convert a parse tree into a flat representation of all predicates and their related boundaries, and role labeling by a consensus model using a pattern-matching framework to find suitable roles for core constituents and adjuncts. We describe the system architecture and report results for the CoNLL2005 development dataset.