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<Paper uid="W04-0505">
  <Title>BioGrapher: Biography Questions as a Restricted Domain Question Answering Task</Title>
  <Section position="3" start_page="0" end_page="0" type="intro">
    <SectionTitle>
2 Related Work
</SectionTitle>
    <Paragraph position="0"> Two kinds of related work are relevant to this paper: question answering against external knowledge sources, and genre detection (using classifiers). We briefly discuss both.</Paragraph>
    <Paragraph position="1"> Many QA research groups employed External Knowledge Sources in order to improve performance. For instance, (Chu-Carroll and Prager, 2002) used WordNet to answer what is questions, using the isa hierarchy supported by WordNet.</Paragraph>
    <Paragraph position="2"> (Hovy et al., 2002; Lin, 2002) used dictionaries such as WordNet and web search results to re-rank answers. (Yang et al., 2003) preformed structure analysis of the knowledge obtained from WordNet and the Web in order to further improve performance. null We refer to (Sebastiani, 2002) for extensive review about machine learning in automated text classification. (Lewis, 1992) were among the first to use machine learning for genre detection trying to categorize Reuters articles to predefined categories. Probabilistic classifiers were used by many groups (Lewis, 1998). Much current text classification research is focused on Support Vector Machines, first used for genre detection by (Joachims, 1998).</Paragraph>
  </Section>
class="xml-element"></Paper>