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<Paper uid="C96-2166">
  <Title>Fast Generation of Abstracts from General Domain Text Corpora by Extracting Relevant Sentences</Title>
  <Section position="6" start_page="987" end_page="987" type="concl">
    <SectionTitle>
6 Conclusions
</SectionTitle>
    <Paragraph position="0"> Ill this paper, we have shown that it is possible to implement a system for generating text abstracts which purely operates with word frequency statistics, without using either domain specific knowledge or text, sort specific heuristics.</Paragraph>
    <Paragraph position="1"> It was demonstrated that the resulting abstracts have the same quality in terms of precision/recall as the abstracts created by human subjects ill an experiment.</Paragraph>
    <Paragraph position="2"> While a simple lead-method is more likely to produce higher readability judgments, the advantage of the tf*idf-method for abstracting is its, superiority in terms of capturing content relevance.</Paragraph>
  </Section>
class="xml-element"></Paper>