The domain adaptation task was aimed at investigating techniques for adapting state-of-the-art dependency parsing systems to new domains. Both the language dealt with, i.e. Italian, and the target do- main, namely the legal domain, represent two main novelties of the task organised at Evalita 2011 with respect to previous domain adaptation ini- tiatives. In this paper, we define the task and describe how the datasets were created from different resources. In addition, we characterize the different approaches of the participating systems, report the test results, and provide a first analysis of these results.

Domain Adaptation for Dependency Parsing at EVALITA 2011

F Dell'Orletta;S Marchi;S Montemagni;G Venturi;T Agnoloni;E Francesconi
2013

Abstract

The domain adaptation task was aimed at investigating techniques for adapting state-of-the-art dependency parsing systems to new domains. Both the language dealt with, i.e. Italian, and the target do- main, namely the legal domain, represent two main novelties of the task organised at Evalita 2011 with respect to previous domain adaptation ini- tiatives. In this paper, we define the task and describe how the datasets were created from different resources. In addition, we characterize the different approaches of the participating systems, report the test results, and provide a first analysis of these results.
Campo DC Valore Lingua
dc.authority.orgunit Istituto di linguistica computazionale "Antonio Zampolli" - ILC -
dc.authority.orgunit Istituto di Teoria e Tecniche dell'Informazione Giuridica - ITTIG - Sede Firenze -
dc.authority.orgunit Istituto di Informatica Giuridica e Sistemi Giudiziari - IGSG -
dc.authority.people F Dell'Orletta it
dc.authority.people S Marchi it
dc.authority.people S Montemagni it
dc.authority.people G Venturi it
dc.authority.people T Agnoloni it
dc.authority.people E Francesconi 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 Informatica Giuridica e Sistemi Giudiziari - IGSG *
dc.contributor.appartenenza Istituto di linguistica computazionale "Antonio Zampolli" - ILC *
dc.contributor.appartenenza.mi 918 *
dc.contributor.appartenenza.mi 1108 *
dc.date.accessioned 2024/02/20 05:11:49 -
dc.date.available 2024/02/20 05:11:49 -
dc.date.issued 2013 -
dc.description.abstracteng The domain adaptation task was aimed at investigating techniques for adapting state-of-the-art dependency parsing systems to new domains. Both the language dealt with, i.e. Italian, and the target do- main, namely the legal domain, represent two main novelties of the task organised at Evalita 2011 with respect to previous domain adaptation ini- tiatives. In this paper, we define the task and describe how the datasets were created from different resources. In addition, we characterize the different approaches of the participating systems, report the test results, and provide a first analysis of these results. -
dc.description.affiliations ILC-CNR, ITTIG-CNR -
dc.description.allpeople F. Dell'Orletta;S. Marchi;S. Montemagni;G. Venturi;T. Agnoloni;E. Francesconi -
dc.description.allpeopleoriginal F. Dell'Orletta and S. Marchi and S. Montemagni and G. Venturi and T. Agnoloni and E. Francesconi -
dc.description.fulltext none en
dc.description.numberofauthors 6 -
dc.identifier.isbn 978-3-642-35827-2 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/220446 -
dc.language.iso eng -
dc.publisher.country DEU -
dc.publisher.name Springer -
dc.publisher.place Berlin Heidelberg -
dc.relation.alleditors Bernardo Magnini, Francesco Cutugno, Mauro Falcone, Emanuele Pianta -
dc.relation.firstpage 58 -
dc.relation.ispartofbook Evaluation of NLP and Speech Tools for Italian -
dc.relation.lastpage 69 -
dc.subject.keywords Dependency Parsing -
dc.subject.keywords Domain Adaptation -
dc.subject.keywords Self-training -
dc.subject.keywords Active Learning -
dc.subject.keywords Legal-NLP -
dc.subject.singlekeyword Dependency Parsing *
dc.subject.singlekeyword Domain Adaptation *
dc.subject.singlekeyword Self-training *
dc.subject.singlekeyword Active Learning *
dc.subject.singlekeyword Legal-NLP *
dc.title Domain Adaptation for Dependency Parsing at EVALITA 2011 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 266373 -
iris.orcid.lastModifiedDate 2024/03/02 02:35:08 *
iris.orcid.lastModifiedMillisecond 1709343308988 *
iris.scopus.extIssued 2013 -
iris.scopus.extTitle Domain adaptation for dependency parsing at Evalita 2011 -
iris.sitodocente.maxattempts 1 -
Appare nelle tipologie: 02.01 Contributo in volume (Capitolo o Saggio)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/220446
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