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<?xml version="1.0" standalone="yes"?> <Paper uid="C92-2082"> <Title>Automatic Acquisition of Hyponyms ~om Large Text Corpora</Title> <Section position="1" start_page="0" end_page="0" type="abstr"> <SectionTitle> Abstract </SectionTitle> <Paragraph position="0"> We describe a method for the automatic acquisition of the hyponymy lexical relation from unrestricted text. Two goals motivate the approach: (i) avoidance of the need for pre-encoded knowledge and (ii) applicability across a wide range of text. We identify a set of lexico-syntactic patterns that are easily recognizable, that occur iYequently and across text genre boundaries, and that indisputably indicate the lexical relation of interest. We describe a method for discovering these patterns and suggest that other lexical relations will also be acquirable in this way. A subset of the acquisition algorithm is implemented and the results are used to attgment and critique the structure of a large hand-built thesaurus. Extensions and applications to areas such as information retrieval are suggested.</Paragraph> </Section> class="xml-element"></Paper>