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ROMANSEVAL: Results for Italian by SENSE
Authors:Stefano Federici  Simonetta Montemagni and Vito Pirrelli
Affiliation:(1) Istituto di Linguistica Computazionale – CNR, Viadella Faggiola 32, Pisa, Italy;(2) Istituto di Linguistica Computazionale – CNR, Viadella Faggiola 32, Pisa, Italy
Abstract:The paper describes SENSE, a word sense disambiguation system thatmakes use of different types of cues to infer the most likelysense of a word given its context. Architecture and functioning ofthe system are briefly illustrated. Results are given for theROMANSEVAL Italian test corpus of verbs.
Keywords:analogy-based NLP  semantic similarity  word sense disambiguation
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