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1. |
Record Nr. |
UNISALENTO991003487699707536 |
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Titolo |
Clero, economia e contabilità in Europa : tra Medioevo ed età contemporanea / a cura di Roberto Di Pietra e Fiorenzo Landi |
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Pubbl/distr/stampa |
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ISBN |
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Descrizione fisica |
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Collana |
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Studi storici Carocci ; 122 |
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Altri autori (Persone) |
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Landi, Fiorenzo |
Di Pietra, Roberto |
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Disciplina |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910437865503321 |
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Autore |
Hristea Florentina T |
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Titolo |
The Naive Bayes model for unsupervised word sense disambiguation : aspects concerning feature selection / / Florentina T. Hristea |
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Pubbl/distr/stampa |
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Heidelberg, : Springer, 2013 |
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ISBN |
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1-283-90825-5 |
3-642-33693-0 |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (78 p.) |
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Collana |
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SpringerBriefs in statistics, , 2191-544X |
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Disciplina |
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Soggetti |
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Semantics - Data processing |
Ambiguity |
Natural language processing (Computer science) |
Computational linguistics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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1.Preliminaries -- 2.The Naïve Bayes Model in the Context of Word Sense Disambiguation -- 3.Semantic WordNet-based Feature Selection -- 4.Syntactic Dependency-based Feature Selection -- 5.N-Gram Features for Unsupervised WSD with an Underlying Naïve Bayes Model References -- Index. . |
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Sommario/riassunto |
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This book presents recent advances (from 2008 to 2012) concerning use of the Naïve Bayes model in unsupervised word sense disambiguation (WSD). While WSD, in general, has a number of important applications in various fields of artificial intelligence (information retrieval, text processing, machine translation, message understanding, man-machine communication etc.), unsupervised WSD is considered important because it is language-independent and does not require previously annotated corpora. The Naïve Bayes model has been widely used in supervised WSD, but its use in unsupervised WSD has led to more modest disambiguation results and has been less frequent. It seems that the potential of this statistical model with respect to unsupervised WSD continues to remain insufficiently explored. The present book contends that the Naïve Bayes model needs to be fed knowledge in order to perform well as a clustering technique for unsupervised WSD and examines three entirely different sources of such knowledge for feature selection: WordNet, dependency relations and web N-grams. WSD with an underlying Naïve Bayes model is ultimately positioned on the border between unsupervised and knowledge-based techniques. The benefits of feeding knowledge (of various natures) to a knowledge-lean algorithm for unsupervised WSD that uses the Naïve Bayes model as clustering technique are clearly highlighted. The discussion shows that the Naïve Bayes model still holds promise for the open problem of unsupervised WSD. |
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3. |
Record Nr. |
UNIORUON00257234 |
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Autore |
CHABAL, Patrick |
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Titolo |
The history of postcolonial lusophone Africa / Patrick Chabal with David Birmingham ... [et al.] |
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Pubbl/distr/stampa |
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London, : Hurst & Company, 2002 |
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ISBN |
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Descrizione fisica |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Africa occidentale - Storia |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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