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About:
Shared Tasks on Authorship Analysis at PAN 2020
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An Entity of Type :
schema:ScholarlyArticle
, within Data Space :
wasabi.inria.fr
associated with source
document(s)
Type:
Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
Shared Tasks on Authorship Analysis at PAN 2020
Creator
Ghanem, Bilal
Rosso, Paolo
Bevendorff, Janek
Giachanou, Anastasia
Kestemont, Mike
Manjavacas, Enrique
Potthast, Martin
Rangel, Francisco
Specht, Günther
Stamatatos, Efstathios
Stein, Benno
Wiegmann, Matti
Zangerle, Eva
Source
PMC
abstract
The paper gives a brief overview of the four shared tasks that are to be organized at the PAN 2020 lab on digital text forensics and stylometry, hosted at CLEF conference. The tasks include author profiling, celebrity profiling, cross-domain author verification, and style change detection, seeking to advance the state of the art and to evaluate it on new benchmark datasets.
has issue date
2020-03-24
(
xsd:dateTime
)
bibo:doi
10.1007/978-3-030-45442-5_66
has license
no-cc
sha1sum (hex)
ad537cec69ed3e95458e5e78f6fd4960e0cf5958
schema:url
https://doi.org/10.1007/978-3-030-45442-5_66
resource representing a document's title
Shared Tasks on Authorship Analysis at PAN 2020
has PubMed Central identifier
PMC7148014
schema:publication
Advances in Information Retrieval
resource representing a document's body
covid:ad537cec69ed3e95458e5e78f6fd4960e0cf5958#body_text
is
schema:about
of
named entity 'FORENSICS'
named entity 'stylometry'
named entity 'Tasks'
named entity 'style change'
named entity 'stylometry'
named entity 'benchmark'
named entity 'author profiling'
named entity 'authorship attribution'
named entity 'Dutch'
named entity 'author profiling'
named entity 'multi-author'
named entity 'Twitter'
named entity 'fanfiction'
named entity 'social media'
named entity 'Fake news'
named entity 'fake news'
named entity 'fake news'
named entity 'multi-author'
named entity 'pedophiles'
named entity 'fake news'
named entity 'domain-specific language'
named entity 'writing style'
named entity 'author profiling'
named entity 'metadata'
named entity 'Twitter'
named entity 'fanfiction.net'
named entity 'style change'
named entity 'stylometry'
named entity 'Harry Potter'
named entity 'style change'
named entity 'style change'
named entity 'author profiling'
named entity 'Arabic'
named entity 'social media'
named entity 'critical role'
named entity 'Twitter'
named entity 'Twitter'
named entity 'word embeddings'
named entity 'online users'
named entity 'Twitter'
named entity 'non-binary'
named entity 'information retrieval'
named entity 'semantic'
named entity 'Twitter'
named entity 'Twitter'
named entity 'fanfiction'
named entity 'author profiling'
named entity 'fanfiction.net'
named entity 'fake news'
named entity 'fake news'
named entity 'Trip Advisor'
named entity 'J.K. Rowling'
named entity 'forensic linguistics'
named entity 'blogs'
named entity 'Twitter'
named entity 'style change'
named entity 'CLEF'
named entity 'authorship analysis'
named entity 'social media'
named entity 'demographic'
named entity 'necessarily true'
named entity 'Twitter'
named entity 'Arabic'
named entity 'demographic'
named entity 'pedophiles'
named entity 'authorship attribution'
named entity 'multilingualism'
named entity 'Italian'
named entity 'multi-author'
named entity 'fake news'
named entity 'followership'
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