tech,9-1-P03-1002,ak we present a novel , customizable <term> IE paradigm </term> that takes advantage of <term> predicate-argument
other,15-1-P03-1002,ak paradigm </term> that takes advantage of <term> predicate-argument structures </term> . We also introduce a new way of
other,9-2-P03-1002,ak new way of automatically identifying <term> predicate argument structures </term> , which is central to our <term> IE
tech,18-2-P03-1002,ak structures </term> , which is central to our <term> IE paradigm </term> . It is based on : ( 1 ) an extended
other,12-3-P03-1002,ak based on : ( 1 ) an extended set of <term> features </term> ; and ( 2 ) <term> inductive decision
tech,18-3-P03-1002,ak of <term> features </term> ; and ( 2 ) <term> inductive decision tree learning </term> . The experimental results prove
other,8-4-P03-1002,ak results prove our claim that accurate <term> predicate-argument structures </term> enable high quality <term> IE results
tech,13-4-P03-1002,ak structures </term> enable high quality <term> IE results </term> . This paper proposes the <term> Hierarchical
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