DocumentCode
3256007
Title
NLUS-a Prolog based natural language understanding system
Author
Lee, M.C. ; Leong, H.V.
Author_Institution
Dept. of Comput. Sci., Chinese Univ. of Hong Kong, Shatin, Hong Kong
fYear
1992
fDate
28-30 May 1992
Firstpage
204
Lastpage
207
Abstract
NLUS is a Prolog-based natural language understanding system, which exploits multi-knowledge representation formalisms. Sentences input from the user are converted into semantic networks and/or production rules; whereas the grammar rules are represented in predicate logic. After processing a sentence, the software may initiate its inference engine to deduce a response. A question would also be parsed and converted into a semantic structure which may contain possibly some missing information. To find an answer to a question, the missing information may be extracted from another related semantic structure in the working memory. At present, the software can handle sentences with relatively simple syntactic structures and some restricted types of questions. However, intelligent man-machine dialogues can be realized. It is particularly good at handling the rule-oriented type of sentences and is considered a decent prototype for experimenting with natural language understanding
Keywords
PROLOG; grammars; knowledge representation; logic programming; natural language interfaces; natural languages; parallel programming; NLUS; Prolog based natural language understanding system; grammar rules; inference engine; intelligent man-machine dialogues; multi-knowledge representation; predicate logic; production rules; prototype; rule-oriented type; semantic networks; syntactic structures; Computer science; Data mining; Engines; Logic; Machine intelligence; Man machine systems; Mathematical model; Natural languages; Production; Software prototyping;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing and Information, 1992. Proceedings. ICCI '92., Fourth International Conference on
Conference_Location
Toronto, Ont.
Print_ISBN
0-8186-2812-X
Type
conf
DOI
10.1109/ICCI.1992.227673
Filename
227673
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