Analogical learning using dissimilarity between tree-structures

Authors:
Anouar Ben Hassena;Laurent Miclet
Affiliations:
ENSSAT / IRISA, Lannion, France, email: {benhasse, miclet}@enssat.fr;ENSSAT / IRISA, Lannion, France, email: {benhasse, miclet}@enssat.fr
Venue:
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Year:
2010

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Analogical Dissimilarity

Journal of Artificial Intelligence Research

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Abstract

In Artificial Intelligence, analogy is used as a non exact reasoning technique to solve problems, for natural language processing, for learning classification rules, etc. This paper is interested in the analogical proportion, a simple form of the reasoning by analogy, and described its use in artificial learning of the syntactic tree (parsing) of a sentence.