Automatic extension of an ATN knowledge base

Authors:
Gail E. Kaiser
Affiliations:
Carnegie-Mellon Univ., Pittsburgh, PA
Venue:
Communications of the ACM
Year:
1981

Citing 3
Cited 0

Artificial intelligence (3rd ed.)

Artificial intelligence (3rd ed.)
Transition network grammars for natural language analysis

Communications of the ACM
AUTOMATIC EXTENSION OF AN AUGMENTED TRANSITION NETWORK GRAMMAR FOR MORSE CODE CONVERSATION

AUTOMATIC EXTENSION OF AN AUGMENTED TRANSITION NETWORK GRAMMAR FOR MORSE CODE CONVERSATION

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Abstract

A computer program is described that acquires much of its knowledge from conversations among operators on Morse code radio networks. The system consists of a learning component and a language understander. The learning component extends a ‘core’ augmented transition network (ATN) knowledge base by generalizing from sentences taken from scripts of actual conversations. The extensions enable the understanding component to process a large number of sentences that are syntactically and semantically similar to the examples.