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. 