BAOBAB, a parser for a rule-based system using a semantic grammar

Add Circle Remove Circle Resize Small Custom Fullscreen
Available Online:
https://purl.stanford.edu/cf002kc6681
Title:
BAOBAB, a parser for a rule-based system using a semantic grammar
Relation:
Stanford University. Libraries. Department of Special Collections and University Archives3840/2https://purl.stanford.edu/cf002kc6681, Stanford University, Department of Computer Science, Technical Reports, and Stanford Artificial Intelligence Laboratory records, 1963-2009
PublishDate:
2021-02-05T23:19:27Z
Description:
Until a recent knowledge-based system is able to learn by itself, it must acquire new knowledge and new heuristics from human experts. This is traditionally done with the aid of a computer programmer acting as intermediary. The direct transfer of knowledge from an expert to the system requires a natural-language processor capable of handling a substantial subset of English. The development of such a natural-language processor is a long-term goal of automating knowledge acquisition; facilitating the interface between the expert and the system is a first step toward this goal. This paper descrtbes BAOBAB, a program designed and implemented for MYCIN (Shortliffe 1974), a medical consultation system for infectious disease diagnosis and therapy selection. BAOBAB is concerned with the problem of parsing - recognizing natural language sentences and encoding them into MYClN's internal representation. For this purpose, it uses a semantic grammar in which the non-terminal symbols denote semantic categories (e.g., infections and symptoms), or conceptual categorles whlch are common tools of knowledge representation in artificial intelligence (e.g., attributes, objects, values and predicate functions). This differs from a syntactic grammar in which non-terminal symbols are syntactic elements such as nouns or verbs.
Identifier:
CS-TR-1978-668
Contributor:
Bonnet, Alain (autAuthor)
Type:
Text and technical reports
Date:
1978-09-01
Language:
engEnglish
Format:
1 text file, technical reports, and image/jpeg
Subject:
Stanford University. Computer Science Department and Computer science
Thumbnail:
{data={format=image/jpeg, width=309, @id=https://stacks.stanford.edu/image/iiif/cf002kc6681%2Fcf002kc6681_01/full/!400,400/0/default.jpg, @type=dctypes:Image, service={data={@context=http://iiif.io/api/image/2/context.json, @id=https://stacks.stanford.edu/image/iiif/cf002kc6681%2Fcf002kc6681_01, profile=http://iiif.io/api/image/2/level2.json}}, height=400}}
Exhibit Tags:
Technical Report