Abstract
In recent years, several methods and tools been developed together with test collections to aid in plagiarism detection. However, both methods and collections have focused on content analysis, overlooking citation analysis. In this paper, we aim at filling this gap and present a test collection with cases of plagiarism by missing and incorrect references. The collection contains automatically generated academic papers in which passages from other documents have been inserted. Such passages were either: adequately referenced (i.e., not plagiarized), not referenced, or incorrectly referenced. Annotation files identifying each passage enable the evaluation of plagiarism detection systems.
Keywords
- Citation Analysis
- Source Document
- Test Collection
- Bibliographic Reference
- Academic Paper
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 2012 Springer-Verlag Berlin Heidelberg
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de L. Pertile, S., Moreira, V.P. (2012). A Test Collection to Evaluate Plagiarism by Missing or Incorrect References. In: Catarci, T., Forner, P., Hiemstra, D., Peñas, A., Santucci, G. (eds) Information Access Evaluation. Multilinguality, Multimodality, and Visual Analytics. CLEF 2012. Lecture Notes in Computer Science, vol 7488. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33247-0_17
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DOI: https://doi.org/10.1007/978-3-642-33247-0_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33246-3
Online ISBN: 978-3-642-33247-0
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