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Construction of Natural Language Sentence Acceptors by a Supervised-Learning Technique

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2 Author(s)
D. Coulon ; Centre de Recherche en Informatique de Nancy, Ecole des Mines (INPL), Nancy, France. ; D. Kayser

The problem discussed here is to build automatically an acceptor for natural language sentences, a sample of sentences being given. We solve it in the context of computer-assisted instruction and database interrogation. This paper is focused toward the definition of a learning criterion, i.e., a quality measure on the set of the acceptors which are compatible with the sample.

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IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:PAMI-1 ,  Issue: 1 )