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<Paper uid="J86-3002">
  <Title>DISCOVERY PROCEDURES FOR SUBLANGUAGE SELECTIONAL PATTERNS: INITIAL EXPERIMENTS</Title>
  <Section position="2" start_page="0" end_page="0" type="intro">
    <SectionTitle>
1 INTRODUCTION:
THE NEED FOR DISCOVERY PROCEDURES
</SectionTitle>
    <Paragraph position="0"> In order to analyze natural language texts reliably, a computer system requires a great deal of information about the syntax of the language, about the structure of the discourse, and about the subject matter with which the text deals. Because of the need for detailed knowledge of the subject matter, natural language systems at present are limited to handling texts within very limited domains of discourse. Once such a system has been developed, the question of portability naturally arises: can the system be readily moved to a new domain? Portability involves two separate issues. The first issue is whether a large portion of the natural language system is domain-independent, so that this &amp;quot;core&amp;quot; can be used in the new application without modification. The second issue is whether the domain-dependent information required by the system can be gathered in a methodical and efficient fashion. Our paper addresses the latter Copyright1986 by the Association for Computational Linguistics. Permission to copy without fee all or part of this material is granted provided that the copies are not made for direct commercial advantage and the CL reference and this copyright notice are included on the first page. To copy otherwise, or to republish, requires a fee and/or specific permission.</Paragraph>
    <Paragraph position="1"> 0362-613X/86/030205-215503.00 Computational Linguistics, Volume 12, Number 3, July-September 1986 205 Ralph Grishman, Lynette Hirschman, Ngo Thanh Nhan Discovery Procedures for Sublanguage Selectional Patterns issue. Specifically, we report on some experiments aimed at developing a semi-automated procedure for discovering selectional patterns (the local semantic constraints of language in a particular domain) from the analysis of a sample of text in that domain.</Paragraph>
  </Section>
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