Associative learning of concepts

Viliam Rockai; Robert Kende

Viliam Rockai Technical University of Kosice
Robert Kende IMC

Abstract

Humans find it extremely easy to say if two words are related or if one word is more related to a given word than another one. For example, if we come across two words - 'car' and 'bicycle', we know they are related since both are means of transport. Also, we easily observe that 'bicycle' is more related to 'car' than 'fork' is. In the paper we describe our approach on quantifying the semantic relatedness of concepts based on the theory of associative learning of concepts.

Keywords

semantic surrounding, associative learning, concept similarity, grammar, relatedness,

References

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