By Gail E. Kaiser
Communications of the ACM,
September 1981,
Vol. 24 No. 9, Pages 587-593
10.1145/358746.358765
Comments
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.
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