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<Paper uid="W04-2611">
  <Title>Abstraction Summarization for Managing the Biomedical Research Literature</Title>
  <Section position="6" start_page="0" end_page="0" type="concl">
    <SectionTitle>
7 Conc
</SectionTitle>
    <Paragraph position="0"> propose a framework based on semantic abst disorder topics that are both indicative and informative. The approach uses a biomedical semantic processor as the source interpreter. After semantic interpretation, a series of transformations condense the predications produced, and a final condensate is displayed in graphical form.</Paragraph>
    <Paragraph position="1"> In the future, we would like to link the predications in the o plan to evaluate the effectiveness of this approach in retrieving useful articles for clinical researchers. Finally, we would like to investigate additional ways of visualizing the condensates.</Paragraph>
    <Paragraph position="2"> Acknowledgements The first author was supported by an appointment to the Nat search Participation Program administered by the Oak Ridge Institute for Science and Education through an inter-agency agreement between the U.S. Department of Energy and the National Library of Medicine.</Paragraph>
  </Section>
class="xml-element"></Paper>