Using Predicate-Argument Structures for Information Extraction

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.

• Type: Conference
• Year: 2003
• Where: ACL
• Authors: Mihai Surdeanu, Sanda M. Harabagiu, John Williams, Paul Aarseth
• Keywords: ACL 2003, ACL 2007, Customizable Ie Paradigm, IE Paradigm, Predicate-argument Structures