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{"references": ["Martin Potthast, Tim Gollub, Matthias Hagen, Jan Gra\u00dfegger, Johannes Kiesel, Maximilian Michel, Arnd Oberl\u00e4nder, Martin Tippmann, Alberto Barr\u00f3n-Cede\u00f1o, Parth Gupta, Paolo Rosso, and Benno Stein. Overview of the 4th International Competition on Plagiarism Detection. In Pamela Forner, Jussi Karlgren, and Christa Womser-Hacker, editors, Working Notes Papers of the CLEF 2012 Evaluation Labs, September 2012. ISBN 978-88-904810-3-1. ISSN 2038-4963."]}
We provide you with a training corpus that consists of pairs of documents, one of which may contain passages of text resued from the other. The reused text is subject to various kinds of (automatic) obfuscation to hide the fact it has been reused.
pan, 2012, reused text, plagiarism, text alignment
pan, 2012, reused text, plagiarism, text alignment
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 45 | |
| downloads | 1 |

Views provided by UsageCounts
Downloads provided by UsageCounts