PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Ontology-based Distinction between Polysemy and Homonymy
Sebastian Pado and Jason Utt
In: IWCS 2011, Oxford, UK(2011).

Abstract

We consider the problem of distinguishing polysemous from homonymous nouns. This distinction is often taken for granted, but is seldom operationalized in the shape of an empirical model. We present a first step towards such a model, based on WordNet augmented with ontological classes provided by CoreLex. This model provides a polysemy index for each noun which (a), accurately distinguishes between polysemy and homonymy; (b), supports the analysis that polysemy can be grounded in the frequency of the meaning shifts shown by nouns; and (c), improves a regression model that predicts when the "one-sense-per-discourse" hypothesis fails.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:7321
Deposited By:Sebastian Pado
Deposited On:17 March 2011