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{"references": ["Faisal Alvi, Mark Stevenson, and Paul Clough. The Short Stories Corpus\u2014Notebook for PAN at CLEF 2015. In Linda Cappellato, Nicola Ferro, Gareth Jones, and Eric San Juan, editors, CLEF 2015 Evaluation Labs and Workshop \u2013 Working Notes Papers, 8-11 September, Toulouse, France, September 2015. CEUR-WS.org. ISSN 1613-0073.", "Efstathios Stamatatos, Martin Potthast, Francisco Rangel, Paolo Rosso, and Benno Stein. Overview of the PAN/CLEF 2015 Evaluation Lab. In Josiane Mothe et al, editors, Experimental IR Meets Multilinguality, Multimodality, and Interaction. 6th International Conference of the CLEF Initiative (CLEF 2015), pages 518-538, Berlin Heidelberg New York, September 2015. Springer. ISBN 978-3-319-24026-8."]}
We provide you with a training corpus that consists of pairs of documents, one of which may contain passages of text reused from the other. The reused text is subject to various kinds of (automatic) obfuscation to hide the fact it has been reused. Enclosed in the evaluation corpora, a file named pairs is found, which lists all pairs of suspicious documents and source documents.
reused text, plagiarism, text alignment
reused text, plagiarism, text alignment
citations 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 | 411 | |
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