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<Paper uid="P96-1028">
  <Title>Evaluating the Portability of Revision Rules for Incremental Summary Generation</Title>
  <Section position="8" start_page="213" end_page="213" type="concl">
    <SectionTitle>
7 Conclusion
</SectionTitle>
    <Paragraph position="0"> In this paper, I presented a quantitative evaluation of the portability to the stock market domain of the revision rule hierarchy used by the system STREAK to incrementally generate newswire sports summaries.</Paragraph>
    <Paragraph position="1"> The evaluation procedure consists of searching a test corpus of stock market reports for sentence pairs whose (semantic and syntactic) structures respectively match the triggering condition and application result of each revision rule. The results show that at least 59% of all rule classes are fully portable, with at least another 7% partially portable.</Paragraph>
    <Paragraph position="2"> Since the sports domain is not closer to the financial domain than to other quantitative domains such as meteorology, demography, business auditing or computer surveillance, these results are very encouraging with respect to the general cross-domain re-usability potential of the knowledge structures used in revision-based generation. However, the present evaluation concerned only one type of such knowledge structures: revision rules. In future work, similar evaluations will be needed for the other types of knowledge structures: content selection rules, phrase planning rules and lexicalization rules.</Paragraph>
  </Section>
class="xml-element"></Paper>