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Sense Discriminative Patterns for Word Sense Disambiguation

Given a target word wi to be disambiguated, we define a class of local contexts for wi such that the sense of wi is univocally determined. We call such local contexts sense discriminative and represent them with sense discriminative (SD) patterns of lexico-syntactic features. We describe an algorithm for the automatic acquisition of minimal SD patterns based on training data in SemCor. We have tested the effectiveness of the approach on a set of 30 highly ambiguous verbs. Results compare favourably with the ones produced by a SVM word sense disambiguation system based on bag of words.