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Emotion-Based Music Recommendation from Quality Annotations and Large-Scale User-Generated Tags
Emotions constitute an important aspect when listening to music. While manual annotations from user studies grounded in psychological …
Marta Moscati, Hannah Strauß, Peer-Ole Jacobsen, Andreas Peintner, Eva Zangerle, Marcel Zentner, Markus Schedl
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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
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Overview of the Multi-Author Writing Style Analysis Task at PAN 2024
Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein
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Overview of the Multi-Author Writing Style Analysis Task at PAN 2023
Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein
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Detection of Generated Text Reviews by Leveraging Methods from Authorship Attribution: Predictive Performance vs. Resourcefulness
Manfred Moosleitner, Günther Specht, Eva Zangerle
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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
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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
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Pairwise Learning to Rank for Hit Song Prediction
Maximilian Mayerl, Michael Vötter, Günther Specht, Eva Zangerle
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Song Popularity Prediction using Ordinal Classification
Michael Vötter, Maximilian Mayerl, Eva Zangerle, Günther Specht
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SPARE: Shortest Path Global Item Relations for Efficient Session-based Recommendation
Andreas Peintner, Amir Reza Mohammadi, Eva Zangerle
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