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Title: Natural language front-ends for expert systems

Abstract

The development and implementation of NL-front-ends for expert systems has become one of the major concerns for ai research. Although this paper aims at a general discussion of the issues involved, its main points are based on the author's work on the NL-front-end for MDX, a medical expert system developed at the Ohio State University, as well as from READ (reader for event analysis and detection) and the currently being developed NL-front-end for BASIS, both projects of Battelle Memorial Institute. Information extracted from linguistic structures is subject to conventional and conversational implicatures, whereas at a later processing stage, conceptually motivated rules take effect in the reasoning process that is the domain of the expert system proper. The following five criteria are proposed as part of a design procedure to ensure the effectiveness and future productivity of a system: (1) modularity; (2) transparency; (3) extendability; (4) transportability; and (5) robustness. 17 references.

Authors:
Publication Date:
OSTI Identifier:
5082378
Resource Type:
Conference
Resource Relation:
Conference: Sponsored by Online Rev, New York, NY, USA, 10 Apr 1984
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; EXPERT SYSTEMS; NATURAL LANGUAGE; ARTIFICIAL INTELLIGENCE; HUMAN FACTORS; MAN-MACHINE SYSTEMS; USES; PROGRAMMING LANGUAGES; 990200* - Mathematics & Computers

Citation Formats

Obermeier, K K. Natural language front-ends for expert systems. United States: N. p., 1984. Web.
Obermeier, K K. Natural language front-ends for expert systems. United States.
Obermeier, K K. 1984. "Natural language front-ends for expert systems". United States.
@article{osti_5082378,
title = {Natural language front-ends for expert systems},
author = {Obermeier, K K},
abstractNote = {The development and implementation of NL-front-ends for expert systems has become one of the major concerns for ai research. Although this paper aims at a general discussion of the issues involved, its main points are based on the author's work on the NL-front-end for MDX, a medical expert system developed at the Ohio State University, as well as from READ (reader for event analysis and detection) and the currently being developed NL-front-end for BASIS, both projects of Battelle Memorial Institute. Information extracted from linguistic structures is subject to conventional and conversational implicatures, whereas at a later processing stage, conceptually motivated rules take effect in the reasoning process that is the domain of the expert system proper. The following five criteria are proposed as part of a design procedure to ensure the effectiveness and future productivity of a system: (1) modularity; (2) transparency; (3) extendability; (4) transportability; and (5) robustness. 17 references.},
doi = {},
url = {https://www.osti.gov/biblio/5082378}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Jan 01 00:00:00 EST 1984},
month = {Sun Jan 01 00:00:00 EST 1984}
}

Conference:
Other availability
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