The paper investigates impact and role of different feature types for the specific task of Automatic Genre Classification with the final aim of identifying the most predictive ones. The goal was pursued by carrying out incremental feature selection through Grafting using different sets of linguistic features. Achieved results for discriminating among four traditional textual genres show the key role played by syntactic features, whose impact turned out to vary across genres.
Identifying predictive features for textual genre classification: The key role of syntax
Cimino A;Dell'Orletta F;Montemagni S;Venturi G
2017
Abstract
The paper investigates impact and role of different feature types for the specific task of Automatic Genre Classification with the final aim of identifying the most predictive ones. The goal was pursued by carrying out incremental feature selection through Grafting using different sets of linguistic features. Achieved results for discriminating among four traditional textual genres show the key role played by syntactic features, whose impact turned out to vary across genres.| Campo DC | Valore | Lingua |
|---|---|---|
| dc.authority.anceserie | CEUR WORKSHOP PROCEEDINGS | - |
| dc.authority.anceserie | CEUR Workshop Proceedings | - |
| dc.authority.orgunit | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | - |
| dc.authority.people | Cimino A | it |
| dc.authority.people | Wieling M | it |
| dc.authority.people | Dell'Orletta F | it |
| dc.authority.people | Montemagni S | it |
| dc.authority.people | Venturi G | it |
| dc.collection.id.s | 71c7200a-7c5f-4e83-8d57-d3d2ba88f40d | * |
| dc.collection.name | 04.01 Contributo in Atti di convegno | * |
| dc.contributor.appartenenza | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | * |
| dc.contributor.appartenenza.mi | 918 | * |
| dc.date.accessioned | 2024/02/20 07:14:59 | - |
| dc.date.available | 2024/02/20 07:14:59 | - |
| dc.date.issued | 2017 | - |
| dc.description.abstracteng | The paper investigates impact and role of different feature types for the specific task of Automatic Genre Classification with the final aim of identifying the most predictive ones. The goal was pursued by carrying out incremental feature selection through Grafting using different sets of linguistic features. Achieved results for discriminating among four traditional textual genres show the key role played by syntactic features, whose impact turned out to vary across genres. | - |
| dc.description.affiliations | University of Groningen, , Netherlands; Istituto di Linguistica Computazionale "Antonio Zampolli" (ILC-CNR), ItaliaNLP Lab, , Italy | - |
| dc.description.allpeople | Cimino, A; Wieling, M; Dell'Orletta, F; Montemagni, S; Venturi, G | - |
| dc.description.allpeopleoriginal | Cimino A.; Wieling M.; Dell'Orletta F.; Montemagni S.; Venturi G. | - |
| dc.description.fulltext | none | en |
| dc.description.numberofauthors | 5 | - |
| dc.identifier.scopus | 2-s2.0-85037370866 | - |
| dc.identifier.uri | https://hdl.handle.net/20.500.14243/342154 | - |
| dc.identifier.url | http://www.scopus.com/record/display.url?eid=2-s2.0-85037370866&origin=inward | - |
| dc.language.iso | eng | - |
| dc.relation.conferencedate | 11-12 dicembre 2017 | - |
| dc.relation.conferencename | Italian Conference on Computational Linguistics (CLiC-it) | - |
| dc.relation.conferenceplace | Roma | - |
| dc.relation.firstpage | 1 | - |
| dc.relation.lastpage | 6 | - |
| dc.relation.numberofpages | 7 | - |
| dc.relation.volume | 2006 | - |
| dc.subject.keywords | Textual Genre Classification | - |
| dc.subject.keywords | Feature Selection | - |
| dc.subject.keywords | Syntactic Features | - |
| dc.subject.singlekeyword | Textual Genre Classification | * |
| dc.subject.singlekeyword | Feature Selection | * |
| dc.subject.singlekeyword | Syntactic Features | * |
| dc.title | Identifying predictive features for textual genre classification: The key role of syntax | en |
| dc.type.driver | info:eu-repo/semantics/conferenceObject | - |
| dc.type.full | 04 Contributo in convegno::04.01 Contributo in Atti di convegno | it |
| dc.type.miur | 273 | - |
| dc.type.referee | Sì, ma tipo non specificato | - |
| dc.ugov.descaux1 | 382252 | - |
| iris.orcid.lastModifiedDate | 2024/04/04 16:13:10 | * |
| iris.orcid.lastModifiedMillisecond | 1712239990958 | * |
| iris.scopus.extIssued | 2017 | - |
| iris.scopus.extTitle | Identifying predictive features for textual genre classification: The key role of syntax | - |
| iris.sitodocente.maxattempts | 4 | - |
| scopus.authority.anceserie | CEUR WORKSHOP PROCEEDINGS###1613-0073 | * |
| scopus.category | 1700 | * |
| scopus.contributor.affiliation | ItaliaNLP Lab | - |
| scopus.contributor.affiliation | University of Groningen | - |
| scopus.contributor.affiliation | ItaliaNLP Lab | - |
| scopus.contributor.affiliation | ItaliaNLP Lab | - |
| scopus.contributor.affiliation | ItaliaNLP Lab | - |
| scopus.contributor.afid | 60008941 | - |
| scopus.contributor.afid | 60010023 | - |
| scopus.contributor.afid | 60008941 | - |
| scopus.contributor.afid | 60008941 | - |
| scopus.contributor.afid | 60008941 | - |
| scopus.contributor.auid | 57002803800 | - |
| scopus.contributor.auid | 21935581000 | - |
| scopus.contributor.auid | 57540567000 | - |
| scopus.contributor.auid | 15056781100 | - |
| scopus.contributor.auid | 27568199800 | - |
| scopus.contributor.country | Italy | - |
| scopus.contributor.country | Netherlands | - |
| scopus.contributor.country | Italy | - |
| scopus.contributor.country | Italy | - |
| scopus.contributor.country | Italy | - |
| scopus.contributor.dptid | 114087935 | - |
| scopus.contributor.dptid | - | |
| scopus.contributor.dptid | 114087935 | - |
| scopus.contributor.dptid | 114087935 | - |
| scopus.contributor.dptid | 114087935 | - |
| scopus.contributor.name | Andrea | - |
| scopus.contributor.name | Martijn | - |
| scopus.contributor.name | Felice | - |
| scopus.contributor.name | Simonetta | - |
| scopus.contributor.name | Giulia | - |
| scopus.contributor.subaffiliation | Istituto di Linguistica Computazionale “Antonio Zampolli” (ILC–CNR); | - |
| scopus.contributor.subaffiliation | - | |
| scopus.contributor.subaffiliation | Istituto di Linguistica Computazionale “Antonio Zampolli” (ILC–CNR); | - |
| scopus.contributor.subaffiliation | Istituto di Linguistica Computazionale “Antonio Zampolli” (ILC–CNR); | - |
| scopus.contributor.subaffiliation | Istituto di Linguistica Computazionale “Antonio Zampolli” (ILC–CNR); | - |
| scopus.contributor.surname | Cimino | - |
| scopus.contributor.surname | Wieling | - |
| scopus.contributor.surname | Dell’Orletta | - |
| scopus.contributor.surname | Montemagni | - |
| scopus.contributor.surname | Venturi | - |
| scopus.date.issued | 2017 | * |
| scopus.description.abstracteng | The paper investigates impact and role of different feature types for the specific task of Automatic Genre Classification with the final aim of identifying the most predictive ones. The goal was pursued by carrying out incremental feature selection through Grafting using different sets of linguistic features. Achieved results for discriminating among four traditional textual genres show the key role played by syntactic features, whose impact turned out to vary across genres. | * |
| scopus.description.allpeopleoriginal | Cimino A.; Wieling M.; Dell'Orletta F.; Montemagni S.; Venturi G. | * |
| scopus.differences | scopus.authority.anceserie | * |
| scopus.differences | scopus.publisher.name | * |
| scopus.differences | scopus.relation.conferencedate | * |
| scopus.differences | scopus.relation.conferencename | * |
| scopus.differences | scopus.identifier.doi | * |
| scopus.differences | scopus.relation.conferenceplace | * |
| scopus.document.type | cp | * |
| scopus.document.types | cp | * |
| scopus.funding.funders | 100004335 - Motorola; 501100000886 - Directorate-General for Regional Policy; 501100004462 - Consiglio Nazionale delle Ricerche; 501100009888 - Regione Toscana; | * |
| scopus.funding.ids | FAR-FAS 2014; | * |
| scopus.identifier.doi | 10.4000/books.aaccademia.2384 | * |
| scopus.identifier.pui | 619586272 | * |
| scopus.identifier.scopus | 2-s2.0-85037370866 | * |
| scopus.journal.sourceid | 21100218356 | * |
| scopus.language.iso | eng | * |
| scopus.publisher.name | CEUR-WS | * |
| scopus.relation.conferencedate | 2017 | * |
| scopus.relation.conferencename | 4th Italian Conference on Computational Linguistics, CLiC-it 2017 | * |
| scopus.relation.conferenceplace | ita | * |
| scopus.relation.volume | 2006 | * |
| scopus.title | Identifying predictive features for textual genre classification: The key role of syntax | * |
| scopus.titleeng | Identifying predictive features for textual genre classification: The key role of syntax | * |
| Appare nelle tipologie: | 04.01 Contributo in Atti di convegno | |
File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
