In this paper, we describe our approach to native language identification and discuss the results we submitted as participants to the First NLI Shared Task. By resorting to a wide set of general-purpose features qualifying the lexical and grammatical structure of a text, rather than to ad hoc features specifically selected for the NLI task, we achieved encouraging results, which show that the proposed approach is general-purpose and portable across different tasks, domains and languages.

Linguistic Profiling based on General-purpose Features and Native Language Identification

Andrea Cimino;Felice Dell'Orletta;Giulia Venturi;Simonetta Montemagni
2013

Abstract

In this paper, we describe our approach to native language identification and discuss the results we submitted as participants to the First NLI Shared Task. By resorting to a wide set of general-purpose features qualifying the lexical and grammatical structure of a text, rather than to ad hoc features specifically selected for the NLI task, we achieved encouraging results, which show that the proposed approach is general-purpose and portable across different tasks, domains and languages.
Campo DC Valore Lingua
dc.authority.orgunit Istituto di linguistica computazionale "Antonio Zampolli" - ILC -
dc.authority.people Andrea Cimino it
dc.authority.people Felice Dell'Orletta it
dc.authority.people Giulia Venturi it
dc.authority.people Simonetta Montemagni 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 2024/02/19 16:30:50 -
dc.date.available 2024/02/19 16:30:50 -
dc.date.issued 2013 -
dc.description.abstracteng In this paper, we describe our approach to native language identification and discuss the results we submitted as participants to the First NLI Shared Task. By resorting to a wide set of general-purpose features qualifying the lexical and grammatical structure of a text, rather than to ad hoc features specifically selected for the NLI task, we achieved encouraging results, which show that the proposed approach is general-purpose and portable across different tasks, domains and languages. -
dc.description.affiliations ILC - Istituto di linguistica computazionale "Antonio Zampolli" -
dc.description.allpeople Cimino, Andrea; Dell'Orletta, Felice; Venturi, Giulia; Montemagni, Simonetta -
dc.description.allpeopleoriginal Andrea Cimino, Felice Dell'Orletta, Giulia Venturi and Simonetta Montemagni -
dc.description.fulltext none en
dc.description.numberofauthors 4 -
dc.identifier.isbn 978-1-937284-47-3 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/227043 -
dc.identifier.url http://www.aclweb.org/anthology/W13-1727 -
dc.language.iso eng -
dc.relation.conferencedate 13 giugno 2013 -
dc.relation.conferencename 8th workshop on "Innovative Use of NLP for Building Educational Applications" -
dc.relation.conferenceplace Atlanta (Georgia) -
dc.relation.firstpage 207 -
dc.relation.lastpage 215 -
dc.subject.keywords Native Language Identification -
dc.subject.keywords Linguistic Profiling -
dc.subject.singlekeyword Native Language Identification *
dc.subject.singlekeyword Linguistic Profiling *
dc.title Linguistic Profiling based on General-purpose Features and Native Language Identification 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 285772 -
iris.orcid.lastModifiedDate 2024/04/04 14:03:44 *
iris.orcid.lastModifiedMillisecond 1712232224578 *
iris.scopus.extIssued 2013 -
iris.scopus.extTitle Linguistic Profiling based on General–purpose Features and Native Language Identification -
iris.sitodocente.maxattempts 1 -
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.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/227043
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact