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<Paper uid="C92-3133">
  <Title>AN INTEGRATED SYNTACTIC AND SEMANTIC SYSTEM FOR NATURAL LANGUAGE UNDERSTANDING UN SYSTEME SYNTAXIQUE ET SEMANT|QUE INTEGRE POUR LA COMPREHENSION DU LANGAGE NATUREL</Title>
  <Section position="6" start_page="0" end_page="0" type="concl">
    <SectionTitle>
3. Conclusion
</SectionTitle>
    <Paragraph position="0"> We hope to have made two substantial contributions in this paper: (1) to suggest a novel method l~r computing argument structures in a post-processor, in order to simplify the derivation of logical fonas for sentences; (2) to show the birth of a concept grammar, which receives syntactic and semantic information from earlier stages of the systtnn, and autoamtically provides a grammatical foundation for the next stage, discourse. We dealt with some linguistic problems, including different kinds of paraphrases. We also suggested methods for handling logical properties of natured language, such as the spatial properties of prepositions.</Paragraph>
    <Paragraph position="1"> (See Sego~ld and Jensen 1991 for additional constructions handled by the concept grammar.) Dealing with locative prepositions is not the same as dealing with the whole of natural language, llowever, we have tried to avoid specific or ad hoc solutions. The rules of the concept grammar are generic in nature. &amp;quot;lhey express semantic facts about English (and, in some cases, about language in general), just as a moqtho-syntactic grammar expresses syntactic facts about English. Thereh~re they are in no way restricted to a semantic subdomain.</Paragraph>
    <Paragraph position="2"> This structure of very general relations is one of the steps leading to an ideal semautic representation of sentences. It provides a universal representation, independent front the surface structure but without losing the information contained in the surface structure.</Paragraph>
    <Paragraph position="3"> Another contribution of the paper is to illustrate how this approach leads to an anticulated architecture for a uatural language anderstanding system. The architecture provides both modularity and integration of NLP tasks, and allows for a smooth flow from syntax through semantics to discourse. Starting with an initial syntactic sketch, we obtain a conceptual graph step by step, without adding a lot of hand-coded semantic infommtion in the dictionary.</Paragraph>
  </Section>
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