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<Paper uid="P99-1078">
  <Title>Using Linguistic Knowledge in Automatic Abstracting</Title>
  <Section position="6" start_page="600" end_page="600" type="concl">
    <SectionTitle>
5 Discussion
</SectionTitle>
    <Paragraph position="0"> In this paper, we have presented a new method of automatic abstracting based on the results obtained from the study of a corpus of professional abstracts and parent documents. In order to implement the model, we rely on techniques in finite state processing, instantiation of templates and re-generation techniques. Paice and Jones (1993) have already used templates representing specific information in a restricted domain in order to generate indicative abstracts. Instead, we aim at the generation of indicative-informative abstracts for domain independent texts. Radev and McKeown (1998) also used instantiated templates, but in order to produce summaries of multiple documents. They focus on the generation of the text while we are addressing the overall process of automatic abstracting. We are testing our method using long technical articles found on the &amp;quot;Web.&amp;quot; Some outstanding issues axe: the problem of co-reference, the problem of polysemy of the lexical items, the re-generation techniques and the evaluation of the methodology which will be based on the judgment of readers.</Paragraph>
  </Section>
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