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.| Campo DC | Valore | Lingua |
|---|---|---|
| dc.authority.orgunit | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | - |
| dc.authority.people | Dell'Orletta F | it |
| dc.authority.people | Lenci A | it |
| dc.authority.people | Marchi S | it |
| dc.authority.people | Montemagni S | it |
| dc.authority.people | Pirrelli V | it |
| dc.collection.id.s | 8c50ea44-be95-498f-946e-7bb5bd666b7c | * |
| dc.collection.name | 02.01 Contributo in volume (Capitolo o Saggio) | * |
| dc.contributor.appartenenza | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | * |
| dc.contributor.appartenenza.mi | 918 | * |
| dc.date.accessioned | 2024/02/15 17:41:23 | - |
| dc.date.available | 2024/02/15 17:41:23 | - |
| dc.date.issued | 2009 | - |
| dc.description.abstracteng | 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. | - |
| dc.description.affiliations | CNR, ILC; Università di Pisa | - |
| dc.description.allpeople | Dell'Orletta F.; Lenci A.; Marchi S.; Montemagni S.; Pirrelli V. | - |
| dc.description.allpeopleoriginal | Dell'Orletta F., Lenci A., Marchi S., Montemagni S., Pirrelli V. | - |
| dc.description.fulltext | none | en |
| dc.description.note | Linguistica e modelli tecnologici della ricerca. Atti del XL Congresso SLI - Vercelli, settembre 2006 A cura di Giacomo Ferrari, Ruben Benatti, Monica Mosca | - |
| dc.description.numberofauthors | 4 | - |
| dc.identifier.isbn | 978-88-7870-469-5 | - |
| dc.identifier.uri | https://hdl.handle.net/20.500.14243/233257 | - |
| dc.language.iso | ita | - |
| dc.miur.last.status.update | 2024-10-10T13:48:55Z | * |
| dc.publisher.country | ITA | - |
| dc.publisher.name | Bulzoni | - |
| dc.publisher.place | Roma | - |
| dc.relation.alleditors | Giacomo Ferrari, Ruben Benatti, Monica Mosca | - |
| dc.relation.firstpage | 285 | - |
| dc.relation.lastpage | 300 | - |
| dc.relation.numberofpages | 16 | - |
| dc.subject.keywords | Term extraction | - |
| dc.subject.keywords | Ontology Learning | - |
| dc.subject.singlekeyword | Term extraction | * |
| dc.subject.singlekeyword | Ontology Learning | * |
| dc.title | Text-2-Knowledge:una piattaforma linguistico-computazionale per l'estrazione di conoscenza da testi | en |
| dc.type.driver | info:eu-repo/semantics/bookPart | - |
| dc.type.full | 02 Contributo in Volume::02.01 Contributo in volume (Capitolo o Saggio) | it |
| dc.type.miur | 268 | - |
| dc.type.referee | Sì, ma tipo non specificato | - |
| dc.ugov.descaux1 | 184585 | - |
| iris.orcid.lastModifiedDate | 2024/03/01 16:02:47 | * |
| iris.orcid.lastModifiedMillisecond | 1709305367199 | * |
| iris.sitodocente.maxattempts | 10 | - |
| Appare nelle tipologie: | 02.01 Contributo in volume (Capitolo o Saggio) | |
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