The paper describes an analogy-based measure of word-sense proximity grounded on distributional evidence in typical contexts, and illustrates a computational system which makes use of this measure for purposes of lexical disambiguation. Experimental results show that word sense-analogy based on contexts of use compares favourably with classical word-sense similarity defined in terms of thesaural proximity.
Inferring semantic similarity from distributional evidence: an analogy-based approach to word sense disambiguation
FEDERICI, STEFANO;
1997-01-01
Abstract
The paper describes an analogy-based measure of word-sense proximity grounded on distributional evidence in typical contexts, and illustrates a computational system which makes use of this measure for purposes of lexical disambiguation. Experimental results show that word sense-analogy based on contexts of use compares favourably with classical word-sense similarity defined in terms of thesaural proximity.
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