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<Paper uid="W06-1417">
  <Title>Sydney, July 2006. c(c)2006 Association for Computational Linguistics Generation of Biomedical Arguments for Lay Readers</Title>
  <Section position="11" start_page="119" end_page="119" type="concl">
    <SectionTitle>
9 Conclusions
</SectionTitle>
    <Paragraph position="0"> This paper presents the design of a discourse generator that plans the content and organization of genetic counseling letters containing arguments. A preliminary evaluation of the arguments was promising. The most important contribution of this work is the design of a non-domain-specific normative argument generator that creates an intentional-level representation of an argument. From the corpus, we formulated argument strategies that map formal properties of qualitative causal probabilistic models to components of Toulmin's model. Due to the separation of domain, argument and genre-specific concerns and the methodology used for acquiring the domain model, this approach should be applicable to lay-oriented normative argument generation in other domains.</Paragraph>
  </Section>
class="xml-element"></Paper>