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<Paper uid="W96-0404">
  <Title>Approximate Generation from Non-Hierarchical Representations</Title>
  <Section position="11" start_page="38" end_page="39" type="ackno">
    <SectionTitle>
10 Conclusion
</SectionTitle>
    <Paragraph position="0"> We have presented a technique for sentence generation from conceptual graphs. The use of a non-hierarchical representation for the semantics and approximate semantic matching increases the paraphrasing power of the generator  and enables the production of sentences with radically different syntactic structure due to alternative ways of grouping concepts into words. This is particularly useful for multilingual generation and in practical generators which are fed input from non linguistic applications. The use of a syntactic theory (D-Tree Grammars) allows for the production of linguistically motivated syntactic structures which will pay off in terms of better coverage of the language and overall maintainability of the generator. The syntactic theory also affects the processing--we have augmented the syntactic operations to account for the integration of the semantics. The generation architecture makes explicit the decisions that have to be taken and allows for experiments with different generation strategies using the same declarative knowledge sources.</Paragraph>
  </Section>
class="xml-element"></Paper>