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<Paper uid="C96-1025">
  <Title>Processing Metonymy: a Domain-Model Heuristic Graph Traversal Approach*</Title>
  <Section position="7" start_page="241" end_page="241" type="concl">
    <SectionTitle>
6 Conclusion
</SectionTitle>
    <Paragraph position="0"> The overall goal of the MENELAS text understanding system was to build a normalised conceptual representation of the input text. The aim of semantic analysis, in this context, is to build a representation which conforms to a domain model. We therefore experimented how this domain model could help semantic analysis to go from the flexibility of natural language to a constrained conceptual representation, a typical problem encountered being metonymy. The approach presented here shows how this can be performed. It has been fully implemented, and used with a reasonable size knowledge base as a part of the MENELAS text understanding system.</Paragraph>
    <Paragraph position="1"> Metonymy processing is based on the domain model. Provided a new domain and task, with the corresponding domain model, this enables the generic method to adapt directly to this new domain and give results that are specific to it. Building such a domain model is generally feasible in sufficiently limited domains, typically, technical domains. Much of the strength of the method then hinges on the quality of the domain model: the concept type hierarchy and the attached reference models must be built in a principled way (Bouand et al., 1995).</Paragraph>
  </Section>
class="xml-element"></Paper>