PAN18 Multi-Author Analysis: Style-Change-Detection

Published September 10, 2018 | Version v1

Dataset Open

Dataset for binary style change detection.

More information about the task: Link

Files

Name	Size	Download all
pan18-style-change-detection-meta-data-2018-06-21.zip md5:dc391f6353af115b2a096965caedd7df	103.1 kB	Preview Download
pan18-style-change-detection-test-dataset-2018-01-31.zip md5:3714919773eabdcd3d91281c21822c7d	3.3 MB	Preview Download
pan18-style-change-detection-training-dataset-2018-01-31.zip md5:410c9d0b30c460ec9434e0c923416b83	7.3 MB	Preview Download
pan18-style-change-detection-validation-dataset-2018-01-31.zip md5:fcbfb32da11487b1cda4cedd9780aec2	3.6 MB	Preview Download

Mike Kestemont, Michael Tschuggnall, Efstathios Stamatatos, Walter Daelemans, Günther Specht, Benno Stein, and Martin Potthast. Overview of the Author Identification Task at PAN-2018: Cross-domain Authorship Attribution and Style Change Detection. In Linda Cappellato, Nicola Ferro, Jian-Yun Nie, and Laure Soulier, editors, Working Notes Papers of the CLEF 2018 Evaluation Labs volume 2125 of CEUR Workshop Proceedings, September 2018. CEUR-WS.org. ISSN 1613-0073.