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<?xml version="1.0" standalone="yes"?> <Paper uid="P03-1002"> <Title>Using Predicate-Argument Structures for Information Extraction</Title> <Section position="1" start_page="0" end_page="0" type="abstr"> <SectionTitle> Abstract </SectionTitle> <Paragraph position="0"> 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.</Paragraph> <Paragraph position="1"> The experimental results prove our claim that accurate predicate-argument structures enable high quality IE results.</Paragraph> </Section> class="xml-element"></Paper>