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Overview of PAN 2022 : authorship verification, profiling irony and stereotype spreaders, style change detection, and trigger detection

Authors :
Bevendorff, Janek
Chulvi, Berta
Fersini, Elisabetta
Heini, Annina
Kestemont, Mike
Kredens, Krzysztof
Mayerl, Maximilian
Ortega-Bueno, Reyner
Pezik, Piotr
Potthast, Martin
Rangel, Francisco
Rosso, Paolo
Stamatatos, Efstathios
Stein, Benno
Wiegmann, Matti
Wolska, Magdalena
Zangerle, Eva
Source :
Lecture notes in computer science
Publication Year :
2022

Abstract

The paper gives a brief overview of the four shared tasks to be organized at the PAN 2022 lab on digital text forensics and stylometry hosted at the CLEF 2022 conference. The tasks include authorship verification across discourse types, multi-author writing style analysis, author profiling, and content profiling. Some of the tasks continue and advance past editions (authorship verification and multi-author analysis) and some are new (profiling irony and stereotypes spreaders and trigger detection). The general goal of the PAN shared tasks is to advance the state of the art in text forensics and stylometry while ensuring objective evaluation on newly developed benchmark datasets.

Subjects

Subjects :
Computer. Automation

Details

Language :
English
ISSN :
03029743
Database :
OpenAIRE
Journal :
Lecture notes in computer science
Accession number :
edsair.od......2097..5b3547b187e9a3d6519626d44e75cf27