paper-conference

Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification - Extended Abstract

Janek Bevendorff, Xavier Bonet Casals, Berta Chulvi, Daryna Dementieva, Ashaf Elnagar, Dayne Freitag, Maik Fröbe, Damir Korencic, Maximilian Mayerl, Animesh Mukherjee, Alexander Panchenko, Martin Potthast, Francisco Rangel, Paolo Rosso, Alisa Smirnova, Efstathios Stamatatos, Benno Stein, Mariona Taulé, Dmitry Ustalov, Matti Wiegmann, Eva Zangerle

Overview of the Multi-Author Writing Style Analysis Task at PAN 2023

Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein

Detection of Generated Text Reviews by Leveraging Methods from Authorship Attribution: Predictive Performance vs. Resourcefulness

Manfred Moosleitner, Günther Specht, Eva Zangerle

Overview of PAN 2023: Authorship Verification, Multi-author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection

Janek Bevendorff, Mara Chinea-Ríos, Marc Franco-Salvador, Annina Heini, Erik Körner, Krzysztof Kredens, Maximilian Mayerl, Piotr Pezik, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle

Overview of PAN 2023: Authorship Verification, Multi-Author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection

The paper gives a brief overview of three shared tasks which have been organized at the PAN 2023 lab on digital text forensics and …

Janek Bevendorff, Ian Borrego-Obrador, Mara Chinea-Ríos, Marc Franco-Salvador, Maik Fröbe, Annina Heini, Krzysztof Kredens, Maximilian Mayerl, Piotr Pezik, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle

Pairwise Learning to Rank for Hit Song Prediction

Maximilian Mayerl, Michael Vötter, Günther Specht, Eva Zangerle

Michael Vötter, Maximilian Mayerl, Eva Zangerle, Günther Specht

SPARE: Shortest Path Global Item Relations for Efficient Session-based Recommendation

Andreas Peintner, Amir Reza Mohammadi, Eva Zangerle

Third Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023)

Alan Said, Eva Zangerle, Christine Bauer

Music4All-Onion -- A Large-Scale Multi-Faceted Content-Centric Music Recommendation Dataset

Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle, Markus Schedl