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<Paper uid="C82-1052">
  <Title>FORMALIZATION OF ~ATION IN NEWSPAPER TEXTS Dietmar F.Roesner Math. Institut A</Title>
  <Section position="2" start_page="0" end_page="0" type="intro">
    <SectionTitle>
1. Introduction
</SectionTitle>
    <Paragraph position="0"> Reading newspapers may be seen as an &amp;quot;everyday cognitive task&amp;quot;. Therefore it is not astonishing that some work in Artificial Intelligence aims at the simulation of aspects of the understanding processes of newspaper readers \[Eisenstadt 1977; Rosenberg 1977\]. There have even been pioneering system~: the Script ~0plier Mechanism \[Cullingford 1978\] demonstrated careful reading of &amp;quot;event~--oriented news stories about earthquakes, vehicle accidents, plane crashes and so on, whereas FRUMP \[DeJong 1979\] si~Jlated skimming abilities using texts about the same themes.</Paragraph>
    <Paragraph position="1"> We are working with texts about jobmarket developments taken from West German newspapers \[Laubsch&amp;Roesner 1980\]. An important aspect of our texts is that they deal with argtm~ntations about reported data and their respective changes. In this paper we describe our (not yet implemented) conceptual approach for processing such structures.</Paragraph>
  </Section>
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