The paper gives a brief overview of the three shared tasks to be organized at the PAN 2021 lab on digital text forensics and stylometry hosted at the CLEF conference. The tasks include authorship verification across domains, author profiling for hate speech spreaders, and style change detection for multi-author documents. In part the tasks are new and in part they continue and advance past shared tasks, with the overall goal of advancing the state of the art, providing for an objective evaluation on newly developed benchmark datasets.
CITATION STYLE
Bevendorff, J., Chulvi, Bert. E. R. T., Sarracén, G. L. D. L. P., Kestemont, M., Manjavacas, E., Markov, I., … Zangerle, E. (2021). Overview of PAN 2021: Authorship Verification, Profiling Hate Speech Spreaders on Twitter, and Style Change Detection: Extended Abstract. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12657 LNCS, pp. 567–573). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-72240-1_66
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