Abstract
We present a prototype of the Italian version of WordNet, a general computational lexical resource. Some relevant extensions are discussed to make it usable for parsing: in particular we add verbal selectional restrictions to make lexical discrimination effective. Italian WordNet has been coupled with a parser and a number of experiments have been performed to individuate the methodology with the best trade-off between disambiguation rate and precision. Results confirm intuitive hypothesis on the role of selectional restrictions and show evidences for a WordNet-like organization of lexical senses.
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© 1997 Springer-Verlag Berlin Heidelberg
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Artale, A., Magnini, B., Strapparava, C. (1997). WordNet for Italian and its use for lexical discrimination. In: Lenzerini, M. (eds) AI*IA 97: Advances in Artificial Intelligence. AI*IA 1997. Lecture Notes in Computer Science, vol 1321. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63576-9_121
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DOI: https://doi.org/10.1007/3-540-63576-9_121
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