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<Paper uid="W04-0913">
  <Title>Text Understanding with GETARUNS for Q/A and Summarization</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> Summarization and Question Answering need precise linguistic information with a much higher coverage than what is being offered by currently available statistically based systems. We assume that the starting point of any interesting application in these fields must necessarily be a good syntactic-semantic parser. In this paper we present the system for text understanding called GETARUNS, General Text and Reference Understanding System (Delmonte, 2003a). The heart of the system is a rule-based top-down DCG-style parser, which uses an LFG oriented grammar organization. The parser produces an f-structure as a DAG which is then used to create a Logical Form, the basis for all further semantic representation. GETARUNS, has a highly sophisticated linguistically based semantic module which is used to build up the Discourse Model. Semantic processing is strongly modularized and distributed amongst a number of different submodules which take care of Spatio-Temporal Reasoning, Discourse Level Anaphora Resolution.</Paragraph>
  </Section>
class="xml-element"></Paper>