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<Paper uid="W02-1111">
  <Title>Fine-Grained Proper Noun Ontologies for Question Answering</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> The WordNet lexical ontology, which is primarily composed of common nouns, has been widely used in retrieval tasks.</Paragraph>
    <Paragraph position="1"> Here, we explore the notion of a fine-grained proper noun ontology and argue for the utility of such an ontology in retrieval tasks. To support this claim, we build a fine-grained proper noun ontology from unrestricted news text and use this ontology to improve performance on a question answering task.</Paragraph>
  </Section>
class="xml-element"></Paper>