Verb selection preferences: a computational approach

Abstract

The present article aims at providing a representation of verb selection preferences for the Italian language. The experiment connects methods based on corpora, and it has been carried on in two steps: first, topic mining from the selected corpora; then, the generalization of verb selection preferences using a lexical ontology.

The resources used for the experiment are the following: LexIt, a lexicon for Italian verbs as a lexical resource, and MultiWordNet as an ontology.

The aim of the study is provinding a detailed representation level of the verbal behaviour and selection through the semantic network, highlighting specific behaviours in preferences of verb selection.