Using predicate-argument structures for information extraction
Published 1 January 2003Open access
Mihai Surdeanu, Sanda M. Harabagiu, John Williams, Paul Aarseth
Citations370
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TL;DR
The experimental results prove the claim that accurate predicate-argument structures enable high quality IE results, and introduce a new way of automatically identifying predicate argument structures, which is central to the IE paradigm.
Abstract
In this paper we present a novel, customizable IE paradigm that takes advantage of predicate-argument structures. We also introduce a new way of automatically identifying predicate argument structures, which is central to our IE paradigm. It is based on: (1) an extended set of features; and (2) inductive decision tree learning. The experimental results prove our claim that accurate predicate-argument structures enable high quality IE results.
Keywords
Computer Science
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