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<Paper uid="P04-3018">
  <Title>Resource Analysis for Question Answering</Title>
  <Section position="2" start_page="0" end_page="0" type="intro">
    <SectionTitle>
1 Introduction
</SectionTitle>
    <Paragraph position="0"> During recent years the Question Answering (QA) field has undergone considerable changes: question types have diversified, question complexity has increased, and evaluations have become more standardized - as reflected by the TREC QA track (Voorhees, 2003). Some recent approaches have tapped into external data sources such as the Web, encyclopedias, databases in order to find answer candidates, which may then be located in the specific corpus being searched (Dumais et al., 2002; Xu et al., 2003). As systems improve, the availability of rich resources will be increasingly critical to QA performance. While on-line resources such as the Web, WordNet, gazetteers, and encyclopedias are becoming more prevalent, no system-independent study has quantified their impact on the QA task.</Paragraph>
    <Paragraph position="1"> This paper focuses on several resources and their inherent potential to provide answers, without concentrating on a particular QA system or component.</Paragraph>
    <Paragraph position="2"> The goal is to quantify and bound the potential impact of these resources on the QA process.</Paragraph>
  </Section>
class="xml-element"></Paper>