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<Paper uid="W03-1205">
  <Title>An evolutionary approach for improving the quality of automatic summaries</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> Automatic text extraction techniques have proved robust, but very often their summaries are not coherent. In this paper, we propose a new extraction method which uses local coherence as a means to improve the overall quality of automatic summaries. Two algorithms for sentence selection are proposed and evaluated on scientific documents.</Paragraph>
    <Paragraph position="1"> Evaluation showed that the method ameliorates the quality of summaries, noticeable improvements being obtained for longer summaries produced by an algorithm which selects sentences using an evolutionary algorithm.</Paragraph>
  </Section>
class="xml-element"></Paper>