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<Paper uid="E06-1050">
  <Title>A Probabilistic Answer Type Model</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> All questions are implicitly associated with an expected answer type. Unlike previous approaches that require a predefined set of question types, we present a method for dynamically constructing a probability-based answer type model for each different question. Our model evaluates the appropriateness of a potential answer by the probability that it fits into the question contexts. Evaluation is performed against manual and semi-automatic methods using a fixed set of answer labels. Results show our approach to be superior for those questions classified as having a miscellaneous answer type.</Paragraph>
  </Section>
class="xml-element"></Paper>