Overview of PAN 2018. Author identification, author profiling, and author obfuscation

[EN] PAN 2018 explores several authorship analysis tasks enabling a systematic comparison of competitive approaches and advancing research in digital text forensics.More specifically, this edition of PAN introduces a shared task in cross-domain authorship attribution, where texts of known and unknow...

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Detalles Bibliográficos
Autores: Stamatatos, Efstathios, Rangel-Pardo, Francisco Manuel, Tschuggnall, Michael, Stein, Benno, Kestemont, Mike, Potthast, Martin, Rosso, Paolo
Tipo de recurso: artículo
Fecha de publicación:2018
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/120698
Acceso en línea:https://riunet.upv.es/handle/10251/120698
Access Level:acceso abierto
Palabra clave:Author identification
Author profiling
Author obfuscation
LENGUAJES Y SISTEMAS INFORMATICOS
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spelling Overview of PAN 2018. Author identification, author profiling, and author obfuscationStamatatos, EfstathiosRangel-Pardo, Francisco ManuelTschuggnall, MichaelStein, BennoKestemont, MikePotthast, MartinRosso, PaoloAuthor identificationAuthor profilingAuthor obfuscationLENGUAJES Y SISTEMAS INFORMATICOS[EN] PAN 2018 explores several authorship analysis tasks enabling a systematic comparison of competitive approaches and advancing research in digital text forensics.More specifically, this edition of PAN introduces a shared task in cross-domain authorship attribution, where texts of known and unknown authorship belong to distinct domains, and another task in style change detection that distinguishes between single author and multi-author texts. In addition, a shared task in multimodal author profiling examines, for the first time, a combination of information from both texts and images posted by social media users to estimate their gender. Finally, the author obfuscation task studies how a text by a certain author can be paraphrased so that existing author identification tools are confused and cannot recognize the similarity with other texts of the same author. New corpora have been built to support these shared tasks. A relatively large number of software submissions (41 in total) was received and evaluated. Best paradigms are highlighted while baselines indicate the pros and cons of submitted approaches.The work at the Universitat Polit`ecnica de Val`encia was funded by the MINECO research project SomEMBED (TIN2015-71147-C2-1-P)Springer-VerlagDepartamento de Sistemas Informáticos y ComputaciónEscuela Técnica Superior de Ingeniería InformáticaCentro de Investigación Pattern Recognition and Human Language TechnologyMinisterio de Economía y EmpresaRepositorio Institucional de la Universitat Politècnica de València Riunet20182018-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/120698reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengMinisterio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 TIN2015-71147-C2-1-P COMPRENSION DEL LENGUAJE EN LOS MEDIOS DE COMUNICACION SOCIAL - REPRESENTANDO CONTEXTOS DE FORMA CONTINUAopen accesshttp://purl.org/coar/access_right/c_abf2Reserva de todos los derechoshttp://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1206982026-06-13T07:49:27Z
dc.title.none.fl_str_mv Overview of PAN 2018. Author identification, author profiling, and author obfuscation
title Overview of PAN 2018. Author identification, author profiling, and author obfuscation
spellingShingle Overview of PAN 2018. Author identification, author profiling, and author obfuscation
Stamatatos, Efstathios
Author identification
Author profiling
Author obfuscation
LENGUAJES Y SISTEMAS INFORMATICOS
title_short Overview of PAN 2018. Author identification, author profiling, and author obfuscation
title_full Overview of PAN 2018. Author identification, author profiling, and author obfuscation
title_fullStr Overview of PAN 2018. Author identification, author profiling, and author obfuscation
title_full_unstemmed Overview of PAN 2018. Author identification, author profiling, and author obfuscation
title_sort Overview of PAN 2018. Author identification, author profiling, and author obfuscation
dc.creator.none.fl_str_mv Stamatatos, Efstathios
Rangel-Pardo, Francisco Manuel
Tschuggnall, Michael
Stein, Benno
Kestemont, Mike
Potthast, Martin
Rosso, Paolo
author Stamatatos, Efstathios
author_facet Stamatatos, Efstathios
Rangel-Pardo, Francisco Manuel
Tschuggnall, Michael
Stein, Benno
Kestemont, Mike
Potthast, Martin
Rosso, Paolo
author_role author
author2 Rangel-Pardo, Francisco Manuel
Tschuggnall, Michael
Stein, Benno
Kestemont, Mike
Potthast, Martin
Rosso, Paolo
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Sistemas Informáticos y Computación
Escuela Técnica Superior de Ingeniería Informática
Centro de Investigación Pattern Recognition and Human Language Technology
Ministerio de Economía y Empresa
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Author identification
Author profiling
Author obfuscation
LENGUAJES Y SISTEMAS INFORMATICOS
topic Author identification
Author profiling
Author obfuscation
LENGUAJES Y SISTEMAS INFORMATICOS
description [EN] PAN 2018 explores several authorship analysis tasks enabling a systematic comparison of competitive approaches and advancing research in digital text forensics.More specifically, this edition of PAN introduces a shared task in cross-domain authorship attribution, where texts of known and unknown authorship belong to distinct domains, and another task in style change detection that distinguishes between single author and multi-author texts. In addition, a shared task in multimodal author profiling examines, for the first time, a combination of information from both texts and images posted by social media users to estimate their gender. Finally, the author obfuscation task studies how a text by a certain author can be paraphrased so that existing author identification tools are confused and cannot recognize the similarity with other texts of the same author. New corpora have been built to support these shared tasks. A relatively large number of software submissions (41 in total) was received and evaluated. Best paradigms are highlighted while baselines indicate the pros and cons of submitted approaches.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/120698
url https://riunet.upv.es/handle/10251/120698
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 TIN2015-71147-C2-1-P COMPRENSION DEL LENGUAJE EN LOS MEDIOS DE COMUNICACION SOCIAL - REPRESENTANDO CONTEXTOS DE FORMA CONTINUA
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer-Verlag
publisher.none.fl_str_mv Springer-Verlag
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869416496268050432
score 15,198674

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