The paper illustrates an effective and innovative method for detecting erroneously annotated arcs in gold dependency treebanks based on an algorithm originally developed to measure the reliability of automatically produced dependency relations. The method permits to significantly restrict the error search space and, more importantly, to reliably identify patterns of systematic recurrent errors which represent dangerous evidence to a parser which tendentially will replicate them. Achieved results demonstrate effectiveness and reliability of the method.

Dangerous Relations in Dependency Treebanks

Chiara Alzetta;Felice Dell'Orletta;Simonetta Montemagni;Giulia Venturi
2018

Abstract

The paper illustrates an effective and innovative method for detecting erroneously annotated arcs in gold dependency treebanks based on an algorithm originally developed to measure the reliability of automatically produced dependency relations. The method permits to significantly restrict the error search space and, more importantly, to reliably identify patterns of systematic recurrent errors which represent dangerous evidence to a parser which tendentially will replicate them. Achieved results demonstrate effectiveness and reliability of the method.
Campo DC Valore Lingua
dc.authority.orgunit Istituto di linguistica computazionale "Antonio Zampolli" - ILC en
dc.authority.people Chiara Alzetta en
dc.authority.people Felice Dell'Orletta en
dc.authority.people Simonetta Montemagni en
dc.authority.people Giulia Venturi en
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 13:14:59 -
dc.date.available 2024/02/20 13:14:59 -
dc.date.firstsubmission 2024/07/08 17:13:16 *
dc.date.issued 2018 -
dc.date.submission 2024/07/08 17:13:16 *
dc.description.abstracteng The paper illustrates an effective and innovative method for detecting erroneously annotated arcs in gold dependency treebanks based on an algorithm originally developed to measure the reliability of automatically produced dependency relations. The method permits to significantly restrict the error search space and, more importantly, to reliably identify patterns of systematic recurrent errors which represent dangerous evidence to a parser which tendentially will replicate them. Achieved results demonstrate effectiveness and reliability of the method. -
dc.description.affiliations Università di Genova, Istituto di Linguistica Computazionale "A. Zampolli" (ILC-CNR) -
dc.description.allpeople Alzetta, Chiara; Dell'Orletta, Felice; Montemagni, Simonetta; Venturi, Giulia -
dc.description.allpeopleoriginal Chiara Alzetta, Felice Dell'Orletta, Simonetta Montemagni, Giulia Venturi en
dc.description.fulltext none en
dc.description.numberofauthors 4 -
dc.identifier.isbn 978-80-88132-04-2 en
dc.identifier.uri https://hdl.handle.net/20.500.14243/334766 -
dc.identifier.url http://aclweb.org/anthology/W/W17/W17-7624.pdf en
dc.language.iso eng en
dc.miur.last.status.update 2024-07-11T11:05:59Z *
dc.relation.conferencedate 23-24 gennaio 2018 en
dc.relation.conferencename 16th International Workshop on Treebanks and Linguistic Theories en
dc.relation.conferenceplace Praga en
dc.relation.firstpage 201 en
dc.relation.ispartofbook Proceedings of the 16th International Workshop on Treebanks and Linguistic Theories en
dc.relation.lastpage 210 en
dc.relation.numberofpages 10 en
dc.subject.keywordseng Dependency treebanks -
dc.subject.keywordseng Error Detection -
dc.subject.keywordseng Linguistic Annotation -
dc.subject.singlekeyword Dependency treebanks *
dc.subject.singlekeyword Error Detection *
dc.subject.singlekeyword Linguistic Annotation *
dc.title Dangerous Relations in Dependency Treebanks 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 en
dc.ugov.descaux1 382333 -
iris.orcid.lastModifiedDate 2024/07/22 15:54:05 *
iris.orcid.lastModifiedMillisecond 1721656445438 *
iris.sitodocente.maxattempts 1 -
Appare nelle tipologie: 04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/334766
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