Using predicate-argument structures for information extraction
Mihai Surdeanu, Sanda M. Harabagiu, John Williams, Paul Aarseth · 2003
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.