PAN Lab on Stylometry and Digital Text Forensics
PAN is a series of scientific events and shared tasks on digital text forensics and stylometry whose goal is to advance the state of the art and provide for an objective evaluation on newly developed benchmark datasets in those areas.
Tasks:
-
Task 1 - Generated Content Analysis
Given a document, decide if it was written by a human, an AI, or both.
-
Task 2 - Multilingual Text Detoxification
Given a toxic piece of text, re-write it in a non-toxic way while saving the main content as much as possible.
-
Task 3 - Multi-author Writing Style Analysis
Given a document, determine at which positions the author changes.
-
Task 4 - Generated Plagiarism Detection
Given a generated and a human-written source document, identify the passages of reused text between them.
Organizers
- Martin Potthast, Universität Kassel
- Efstathios Stamatatos, University of the Aegean
- Benno Stein, Bauhaus-Universität Weimar
- Janek Bevendorff, Leipzig University
- Preslav Nakov, Mohamed bin Zayed University of Artificial Intelligence
- Eva Zangerle, University of Innsbruck
- Daryna Dementieva, Technical University of Munich
- André Greiner-Petter, Georg-August-Universität Göttingen
Contact
