Mostrar el registro sencillo del ítem
dc.contributor.author
Ferretti, Edgardo
dc.contributor.author
Cagnina, Leticia Cecilia
dc.contributor.author
Paiz, Viviana
dc.contributor.author
Delle Donne, Sebastián
dc.contributor.author
Zacagnini, Rodrigo
dc.contributor.author
Errecalde, Marcelo Luis
dc.date.available
2021-11-23T18:36:44Z
dc.date.issued
2018-11
dc.identifier.citation
Ferretti, Edgardo; Cagnina, Leticia Cecilia; Paiz, Viviana; Delle Donne, Sebastián; Zacagnini, Rodrigo; et al.; Quality flaw prediction in spanish Wikipedia: A case of study with verifiability flaws; Pergamon-Elsevier Science Ltd; Information Processing & Management; 54; 6; 11-2018; 1169-1181
dc.identifier.issn
0306-4573
dc.identifier.uri
http://hdl.handle.net/11336/147261
dc.description.abstract
In this work, we present the first quality flaw prediction study for articles containing the two most frequent verifiability flaws in Spanish Wikipedia: articles which do not cite any references or sources at all (denominated Unreferenced) and articles that need additional citations for verification (so-called Refimprove). Based on the underlying characteristics of each flaw, different state-of-the-art approaches were evaluated. For articles not citing any references, a well-established rule-based approach was evaluated and interesting findings show that some of them suffer from Refimprove flaw instead. Likewise, for articles that need additional citations for verification, the well-known PU learning and one-class classification approaches were evaluated. Besides, new methods were compared and a new feature was also proposed to model this latter flaw. The results showed that new methods such as under-bagged decision trees with sum or majority voting rules, biased-SVM, and centroid-based balanced SVM, perform best in comparison with the ones previously published.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Pergamon-Elsevier Science Ltd
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
INFORMATION QUALITY
dc.subject
QUALITY FLAW PREDICTION
dc.subject
SEMI-SUPERVISED LEARNING
dc.subject
SUPERVISED LEARNING
dc.subject
WIKIPEDIA
dc.subject.classification
Ciencias de la Computación
dc.subject.classification
Ciencias de la Computación e Información
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Quality flaw prediction in spanish Wikipedia: A case of study with verifiability flaws
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-05-11T19:18:02Z
dc.identifier.eissn
1873-5371
dc.journal.volume
54
dc.journal.number
6
dc.journal.pagination
1169-1181
dc.journal.pais
Reino Unido
dc.description.fil
Fil: Ferretti, Edgardo. Universidad Nacional de San Luis. Facultad de Ciencias Fisico Matematicas y Naturales. Departamento de Informatica; Argentina. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; Argentina
dc.description.fil
Fil: Cagnina, Leticia Cecilia. Universidad Nacional de San Luis. Facultad de Ciencias Fisico Matematicas y Naturales. Departamento de Informatica; Argentina. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis; Argentina
dc.description.fil
Fil: Paiz, Viviana. Universidad Nacional de San Luis. Facultad de Ciencias Fisico Matematicas y Naturales. Departamento de Informatica; Argentina
dc.description.fil
Fil: Delle Donne, Sebastián. Universidad Nacional de San Luis. Facultad de Ciencias Fisico Matematicas y Naturales. Departamento de Informatica; Argentina
dc.description.fil
Fil: Zacagnini, Rodrigo. Universidad Nacional de San Luis. Facultad de Ciencias Fisico Matematicas y Naturales. Departamento de Informatica; Argentina
dc.description.fil
Fil: Errecalde, Marcelo Luis. Universidad Nacional de San Luis. Facultad de Ciencias Fisico Matematicas y Naturales. Departamento de Informatica; Argentina. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; Argentina
dc.journal.title
Information Processing & Management
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0306457317309329?via%3Dihub
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1016/j.ipm.2018.08.003
Archivos asociados