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<?xml version="1.0" standalone="yes"?> <Paper uid="W02-1113"> <Title>Generating extraction patterns from a large semantic network and an untagged corpus Thierry POIBEAU Thales and LIPN Domaine de Corbeville</Title> <Section position="1" start_page="0" end_page="0" type="abstr"> <SectionTitle> Abstract </SectionTitle> <Paragraph position="0"> This paper presents a module dedicated to the elaboration of linguistic resources for a versatile Information Extraction system. In order to decrease the time spent on the elaboration of resources for the IE system and guide the end-user in a new domain, we suggest to use a machine learning system that helps defining new templates and associated resources. This knowledge is automatically derived from the text collection, in interaction with a large semantic network.</Paragraph> </Section> class="xml-element"></Paper>