<?xml version="1.0" standalone="yes"?>
<Paper uid="W00-1428">
  <Title>Integrating a Large-scale, Reusable Lexicon with a Natural Language Generator</Title>
  <Section position="6" start_page="214" end_page="214" type="concl">
    <SectionTitle>
6 Conclusion
</SectionTitle>
    <Paragraph position="0"> We have presented in this paper the integration of a large-scale, reusable lexicon for generation with FUF/SURGE, a unification-based natural language generator. This integration makes it possible to reuse major parts of a lexical chooser, which is tile component in a generation system that is responsible for mapping semantic inputs to surface generator inputs. We show that although the whole lexical &amp;quot; chooser can not be made domain-independent, it is possible to reuse a large amount of lexical, syntactic, and semantic knowledge across applications.</Paragraph>
    <Paragraph position="1"> In addition, tile lexicon other benefits to a generation system, inchiding the abilities to generate nlany lexical paraphrases automatically, generate syntactic paraphrases, av(fid n(m-grammatical output, and choose the most frequently used word when there is more than one candidate words. Since the lexical, syntactic, and semantic knowledge encoded in the lexicon is general and the lexicon has a wide coverage, it can be reused for different applications.</Paragraph>
    <Paragraph position="2"> In the future, we plan to validate the paraphrases the lexicon can generate by asking human subjects to read the generated paraphrases and judge whether they are acceptable. We would like to investigate ways that can systematically filter out paraphrases that are considered unacceptable. We are also interested in exploring the usage of this system in multi-lingual generation.</Paragraph>
  </Section>
class="xml-element"></Paper>