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<?xml version="1.0" standalone="yes"?>
<Paper uid="P03-1001">
  <Title>Offline Strategies for Online Question Answering: Answering Questions Before They Are Asked</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> Recent work in Question Answering has focused on web-based systems that extract answers using simple lexico-syntactic patterns. We present an alternative strategy in which patterns are used to extract highly precise relational information offline, creating a data repository that is used to efficiently answer questions. We evaluate our strategy on a challenging subset of questions, i.e. &amp;quot;Who is ...&amp;quot; questions, against a state of the art web-based Question Answering system. Results indicate that the extracted relations answer 25% more questions correctly and do so three orders of magnitude faster than the state of the art system.</Paragraph>
  </Section>
class="xml-element"></Paper>
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