Example-based word sense disambiguation: a paradigm-driven approach

FEDERICI, STEFANO;Montemagni S;Pirrelli V.

1996-01-01

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Abstract

The paper describes an example-based approach to word sense disambiguation: words in a pre-processed text corpus are automatically linked to their corresponding senses in a machine readable dictionary (MRD) by using information automatically extracted from the MRD. For each word sense, typical contexts of use were acquired and structured as "paradigmatic structures" on the basis of distributional criteria. Word sense disambiguation is modelled as a process of "paradigm extension" grounded on the acquired paradigmatic structures. The technique, already applied with success to a number of Natural Language Processing (NLP) applications, is currently under extensive test for word sense disambiguation: preliminary results look promising.