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<?xml version="1.0" standalone="yes"?> <Paper uid="W03-1022"> <Title>Supersense Tagging of Unknown Nouns in WordNeta0</Title> <Section position="1" start_page="0" end_page="0" type="abstr"> <SectionTitle> Abstract </SectionTitle> <Paragraph position="0"> We present a new framework for classifying common nouns that extends named-entity classification. We used a fixed set of 26 semantic labels, which we called supersenses. These are the labels used by lexicographers developing WordNet. This framework has a number of practical advantages. We show how information contained in the dictionary can be used as additional training data that improves accuracy in learning new nouns. We also define a more realistic evaluation procedure than cross-validation.</Paragraph> </Section> class="xml-element"></Paper>