title: Construction of natural language sentence acceptors by a supervised-learning technique.
abstract: 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.
authors.affiliation: Centre de Recherche en Informatique de Nancy, Ecole des Mines (INPL), Nancy, France.
authors.forename: D
authors.initials: D
authors.lastname: Coulon
authors.forename: D
authors.initials: D
authors.lastname: Kayser