The paper describes the automatic extraction of domain knowledge from Italian document collections and presents a fully-implemented ontology learning system (T2K, Text-2-Knowledge) that includes a battery of tools for Natural Language Processing, statistical text analysis and machine learning. Evaluated results show the considerable potential of systems like T2K, exploiting an incremental interleaving of NLP and machine learning techniques for accurate large-scale semi-automatic extraction and structuring of domain-specific knowledge.

Text-2-Knowledge:una piattaforma linguistico-computazionale per l'estrazione di conoscenza da testi

Dell'Orletta F;Marchi S;Montemagni S;Pirrelli V
2009

Abstract

The paper describes the automatic extraction of domain knowledge from Italian document collections and presents a fully-implemented ontology learning system (T2K, Text-2-Knowledge) that includes a battery of tools for Natural Language Processing, statistical text analysis and machine learning. Evaluated results show the considerable potential of systems like T2K, exploiting an incremental interleaving of NLP and machine learning techniques for accurate large-scale semi-automatic extraction and structuring of domain-specific knowledge.
2009
Istituto di linguistica computazionale "Antonio Zampolli" - ILC
Italiano
Giacomo Ferrari, Ruben Benatti, Monica Mosca
285
300
16
978-88-7870-469-5
Bulzoni
Roma
ITALIA
Sì, ma tipo non specificato
Term extraction
Ontology Learning
Linguistica e modelli tecnologici della ricerca. Atti del XL Congresso SLI - Vercelli, settembre 2006 A cura di Giacomo Ferrari, Ruben Benatti, Monica Mosca
4
02 Contributo in Volume::02.01 Contributo in volume (Capitolo o Saggio)
268
none
Dell'Orletta F.; Lenci A.; Marchi S.; Montemagni S.; Pirrelli V.
info:eu-repo/semantics/bookPart
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/233257
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