BIB-VERSION:: CS-TR-v2.0
          ID:: STAN//CS-TR-79-759
       ENTRY:: June 19, 1995
ORGANIZATION:: Stanford University, Department of Computer Science
       TITLE:: Schema-shift strategies to understanding structured texts in
               natural language
        TYPE:: Technical Report
      AUTHOR:: Bonnet, Alain
        DATE:: August 1979
       PAGES:: 48
    ABSTRACT:: This report presents BAOBAB-2, a computer program built upon
               MYCIN [Shortliffe, 1974] that is used for understanding
               medical summaries describing the status of patients. Due both
               to the conventlonal way physicians present medical problems
               in these summaries and the constrained nature of medical
               jargon, these texts have a very strong structure. BAOBAB-2
               takes advantage of this structure by using a model of this
               organization as a set of related schemas that facilitate the
               interpretatlon of these texts. Structures of the schemas and
               their relatlon to the surface structure are described. Issues
               relating to selection and use of these schemas by the program
               during interpretation of the summaries are discussed.
       NOTES:: [Adminitrivia V1/Prg/19950619]
         END:: STAN//CS-TR-79-759