Processing free-text input to obtain a database of medical information

Authors:
Emile C. Chi;Carol Friedman;Naomi Sager;Margaret S. Lyman
Affiliations:
Linguistic String Project, Courant Institute of Mathematical Sciences, New York Universiiy, Mew York, NY;Linguistic String Project, Courant Institute of Mathematical Sciences, New York Universiiy, Mew York, NY;Linguistic String Project, Courant Institute of Mathematical Sciences, New York Universiiy, Mew York, NY;Department of Pediatrics, New York University Medical Center, 550 1st Avenue, New York, NY
Venue:
SIGIR '85 Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval
Year:
1985

Citing 2
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Abstract

The Linguistic String Project of New York University has developed computer programs that convert the information in free-text documents of a technical specialty into a structured form suitable for mapping into a relational database. The processing is based upon the restrictions on the use of language that are characteristic of the subject matter and the document type. These restrictions are summarized in a “sublanguage grammar” that provides a set of word classes and formulas corresponding to the objects and relations of interest in the domain. The programs are independent of the particular sublanguage grammar employed. The application to narrative patient records will be described and the applicability of the methods to other domains discussed.