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<Paper uid="W06-3504">
  <Title>Increasing the coverage of a domain independent dialogue lexicon with VERBNET</Title>
  <Section position="10" start_page="30" end_page="31" type="concl">
    <SectionTitle>
6 Conclusion
</SectionTitle>
    <Paragraph position="0"> In this paper, we presented a methodology for merging lexicons including syntactic and lexical semantic  information. We developed a model based on crosscompilation ideas to provide an intermediate representation which could be used to generate entries for different parsing formalisms. Mapping semantic properties is the most difficult part of the process, and we evaluated two different techniques for establishing correspondence between classes and lexical entries, using TRIPS and VERBNET lexicons as a case study. We showed that a thresholding technique has a high precision, but low recall due to inconsistencies in semantic structure, and data sparsity. We can increase recall by partitioning class intersections more finely by filtering with syntactic structure. Further refining the mapping technique, and using it to add mappings to other lexical databases such as FRAMENET is part of our ongoing work.</Paragraph>
  </Section>
class="xml-element"></Paper>