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<Paper uid="P97-1028">
  <Title>Applying Explanation-based Learning to Control and Speeding-up Natural Language Generation</Title>
  <Section position="10" start_page="219" end_page="219" type="concl">
    <SectionTitle>
7 Conclusion and Future Directions
</SectionTitle>
    <Paragraph position="0"> We have presented a method of automatic extraction of subgrammars for controlling and speeding up natural language generation (NLG). The method is based on explanation-based learning (EBL), which has already been successfully applied for parsing.</Paragraph>
    <Paragraph position="1"> We showed how the method can be used to train a system to a specific use of grammatical and lexical usage.</Paragraph>
    <Paragraph position="2"> We already have implemented a similar EBL method for parsing, which supports on-line learning as well as statistical-based management of extracted data. In the future we plan to combine EBL-based generation and parsing to one uniform EBL approach usable for high-level performance strategies which are based on a strict interleaving of parsing and generation (cf. (Neumann and van Noord, 1994; Neumann, 1994a)).</Paragraph>
  </Section>
class="xml-element"></Paper>