Skip to main content
zenodoopen

PAN20 Authorship Analysis: Authorship Verification

<p><strong>Task</strong></p> <p>Authorship verification is the task of deciding whether two texts have been written by the same author based on comparing the texts&#39; writing styles.</p> <p>In the coming three years at PAN&nbsp;2020 to PAN&nbsp;2022, we develop a new experimental setup that addresses three key questions in authorship verification that have not been studied at scale to date:</p> <ul> <li> <p>Year 1 (PAN 2020): Closed-set verficiation.<br> Given a large training dataset comprising of known authors who have written about a given set of topics, the test dataset contains verification cases from a subset of the authors and topics found in the training data.</p> </li> <li> <p>Year 2 (PAN 2021): Open-set verification.<br> Given the training dataset of Year&nbsp;1, the test dataset contains verification cases from previously unseen authors and topics.</p> </li> <li> <p>Year 3 (PAN 2022):&nbsp;<em>Suprise task</em>.<br> The task of the last year of this evaluation cycle (to be announced at a later time) will be designed with an eye on realism and practical application.</p> </li> </ul> <p>This evaluation cycle on authorship verification provides for a renewed challenge of increasing difficulty within a large-scale evaluation. We invite you to plan ahead and participate in all three of these tasks.</p> <p>More information at:&nbsp;<a href="https://pan.webis.de/clef20/pan20-web/author-identification.html">PAN @ CLEF 2020 - Authorship Verification</a></p> <p>&nbsp;</p> <p><strong>Citing the Dataset</strong></p> <p>If you use this dataset for your research, please be sure to cite the following paper:<br> <br> Sebastian Bischoff, Niklas Deckers, Marcel Schliebs, Ben Thies, Matthias Hagen, Efstathios Stamatatos, Benno Stein, and Martin Potthast.&nbsp;The Importance of Suppressing Domain Style in Authorship Analysis.&nbsp;CoRR,&nbsp;abs/2005.14714,&nbsp;May&nbsp;2020.</p> <p>Bibtex:</p> <pre><code>@Article{stein:2020k, author = {Sebastian Bischoff and Niklas Deckers and Marcel Schliebs and Ben Thies and Matthias Hagen and Efstathios Stamatatos and Benno Stein and Martin Potthast}, journal = {CoRR}, month = may, title = {{The Importance of Suppressing Domain Style in Authorship Analysis}}, url = {https://arxiv.org/abs/2005.14714}, volume = {abs/2005.14714}, year = 2020 }</code></pre> <p>&nbsp;</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
8
Reuse readiness
8
Engagement
4

Topics