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1 Trento Rise ITALY 2 IRIT - Institut de recherche en informatique de Toulouse 3 Human Language Technology FBK - Fondazione Bruno Kessler Trento, Italy 4 IBM Centers for Advanced Studies - CAS ITALY

Abstract : This work describes the evaluations of three different approaches, Lexical Match, Sense Similarity based on Personalized Page Rank, and Semantic Match based on Shallow Frame Structures, for word sense alignment of verbs between two Italian lexical-semantic resources, MultiWordNet and the Senso Comune Lexicon. The results obtained are quite satisfying with a final F1 score of 0.47 when merging together Lexical Match and Sense Similarity.

Keywords : Lexical match Sense Similarity Personalized page rank Semantic match Shallow frame structures Italian lexical-semantic resources MultiWordNet Senso comune cexicon

Autor: Tommaso Caselli - Laure Vieu - Carlo Strapparava - Guido Vetere -



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