DocumentCode :
2953167
Title :
A hybrid knowledge representation model in a natural language interface to MS-DOS
Author :
Michos, S.E. ; Magoulas, G.D. ; Fakotakis, N.
Author_Institution :
Dept. of Electr. & Comput. Eng., Patras Univ., Greece
fYear :
1995
fDate :
5-8 Nov 1995
Firstpage :
480
Lastpage :
483
Abstract :
A hybrid model for representing knowledge in a Greek natural language interface to MS-DOS is presented. This model employs semantic knowledge of the operating system domain to develop a hybrid architecture integrating symbolic and connectionist modules for recognizing the MS-DOS command labels of related or unrelated successive natural language user messages. This approach was deeply motivated by handling ellipsis, ambiguity and flexibility of sentence structure as well as possible. A comparative experimental evaluation of this approach to a symbolic one illustrating their pros and cons is also given. Finally, ways of extending this model are proposed with the view of making the natural language interface more user friendly and functional
Keywords :
knowledge representation; natural language interfaces; neural net architecture; operating systems (computers); symbol manipulation; Greek natural language interface; MS-DOS command label recognition; ambiguity; connectionist module; ellipsis; flexibility; functionality; hybrid architecture; hybrid knowledge representation model; natural language user messages; operating system domain; semantic knowledge; sentence structure; symbolic module; user friendliness; Artificial intelligence; Communication system control; Computer architecture; Control systems; Knowledge representation; Laboratories; Natural languages; Telecommunication computing; Telecommunication control; Wire;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 1995. Proceedings., Seventh International Conference on
Conference_Location :
Herndon, VA
ISSN :
1082-3409
Print_ISBN :
0-8186-7312-5
Type :
conf
DOI :
10.1109/TAI.1995.479844
Filename :
479844
Link To Document :
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