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A dynamic approach to paradigm-driven analogy.

S. Federici, V. Pirrelli, и F. Yvon. Learning for Natural Language Processing, том 1040 из Lecture Notes in Computer Science, стр. 385-398. Springer, (1995)

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Laurence Victor Vito

Vito Giustiniani

Vito Pinto

Vito Stancanelli

Vito Roberto

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Where Opposites Meet. A Syntactic Meta-scheme for Corpus Annotation and Parsing Evaluation.A. Lenci, S. Montemagni, V. Pirrelli, и C. Soria. LREC, European Language Resources Association, (2000)Arabic Natural Language Processing: Models, systems and applications.V. Pirrelli, и A. Zarghili. J. King Saud Univ. Comput. Inf. Sci., 29 (2): 1- (2017)The PAISÀ Corpus of Italian Web Texts.V. Lyding, E. Stemle, C. Borghetti, M. Brunello, S. Castagnoli, F. Dell'Orletta, H. Dittmann, A. Lenci, и V. Pirrelli. WaC@EACL, стр. 36-43. Association for Computational Linguistics, (2014)NLP-based Ontology Learning from Legal Texts. A Case Study.A. Lenci, S. Montemagni, V. Pirrelli, и G. Venturi. LOAIT, том 321 из CEUR Workshop Proceedings, стр. 113-129. CEUR-WS.org, (2007)Creation and Use of Lexicons and Ontologies for NL Interfaces to Databases.R. Bartolini, C. Caracciolo, E. Giovannetti, A. Lenci, S. Marchi, V. Pirrelli, C. Renso, и L. Spinsanti. LREC, стр. 219-224. European Language Resources Association (ELRA), (2006)ROMANSEVAL: Results for Italian by SENSE.S. Federici, S. Montemagni, и V. Pirrelli. Comput. Humanit., 34 (1-2): 199-204 (2000)Topological Self-Organization and Prediction Learning Support Both Action and Lexical Chains in the Brain.F. Chersi, M. Ferro, G. Pezzulo, и V. Pirrelli. Top. Cogn. Sci., 6 (3): 476-491 (2014)Written Word Production and Lexical Self-Organisation: Evidence from English (Pseudo)Compounds.M. Ferro, F. Cardillo, V. Pirrelli, C. Gagné, и T. Spalding. CLiC-it/EVALITA, том 1749 из CEUR Workshop Proceedings, CEUR-WS.org, (2016)Non-locality all the way through: Emergent Global Constraints in the Italian Morphological Lexicon.V. Pirrelli, B. Calderone, I. Herreros, и M. Virgilio. SIGMORPHON@ACL, Association for Computational Linguistics, (2004)SENSE: an analogy-based Word Sense Disambiguation system.S. Federici, S. Montemagni, и V. Pirrelli. Nat. Lang. Eng., 5 (2): 207-218 (1999)