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<Paper uid="H86-1009">
  <Title>Model-based Analysis of Messages about Equipment</Title>
  <Section position="3" start_page="73" end_page="73" type="intro">
    <SectionTitle>
2. Prior work
</SectionTitle>
    <Paragraph position="0"> New York University has been involved in the automated analysis and structuring of technical text for over a decade. Most of this work has been on medical records \[Sager 1978, Hirschman 1982\], but we have also been involved with the Naval Research Laboratory on a system for CASREP's \[Marsh 1984\]. These systems used domain-specific frame-like target structures, and employed selectional constraints to weed out bad parses, but did not incorporate detailed domain models. Our experience with these systems - in particular, the difficulty of obtaining success rates (% of sentences correctly analyzed) much above 75% led us to our work on PROTEUS.</Paragraph>
    <Paragraph position="1"> The use of detailed domain models in language processing systems is, of course, not new. Script-based systems, and some of the frame-based language analysis systems, have been motivated by a desire to incorporate detailed domain knowledge. The task we confront, however, differs in several regards from those of earlier systems. One is the matter of scale; our initial set of equipment - the starting air system for a gas turbine - includes several hundred separately nameable components (and many lesser components, such as bolts and</Paragraph>
  </Section>
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