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

Author:

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

Publisher

Springer Nature Switzerland

Reference81 articles.

1. Lecture Notes in Computer Science;J Bevendorff,2021

2. Lecture Notes in Computer Science;J Bevendorff,2020

3. Bobicev, V., Sokolova, M.: Inter-annotator agreement in sentiment analysis: machine learning perspective. In: Proceedings of the International Conference Recent Advances in Natural Language Processing (2017)

4. Cao, G., et al.: A dual-model classification method based on RoBERTa for trigger detection. In: Aliannejadi, M., Faggioli, G., Ferro, N., Vlachos, M. (eds.) Working Notes of CLEF 2023 - Conference and Labs of the Evaluation Forum, CEUR-WS.org (2023)

5. Cao, H., et al.: Trigger warning labeling with RoBERTa and resampling for distressing content detection. In: Aliannejadi, M., Faggioli, G., Ferro, N., Vlachos, M. (eds.) Working Notes of CLEF 2023 - Conference and Labs of the Evaluation Forum, CEUR-WS.org (2023)

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