Analyzing Similarity in Mathematical Content To Enhance the Detection of Academic Plagiarism

Preprint English OPEN
Isele, Maurice-Roman;
(2018)
  • Subject: Computer Science - Information Retrieval

Despite the effort put into the detection of academic plagiarism, it continues to be a ubiquitous problem spanning all disciplines. Various tools have been developed to assist human inspectors by automatically identifying suspicious documents. However, to our knowledge ... View more
  • References (16)
    16 references, page 1 of 2

    [1] Bela Gipp. Citation-based plagiarism detection. In Citation-based Plagiarism Detection, pages 57{88. Springer, 2014.

    [2] Norman Meuschke, Moritz Schubotz, Felix Hamborg, Tomas Skopal, and Bela Gipp. Analyzing mathematical content to detect academic plagiarism. In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM '17, pages 2211{2214, New York, NY, USA, 2017. ACM.

    [3] Keisuke Yokoi and Akiko Aizawa. An approach to similarity search for mathematical expressions using mathml. Towards a Digital Mathematics Library. Grand Bend, Ontario, Canada, July 8-9th, 2009, pages 27{35, 2009.

    [4] Michael Kohlhase and Ioan Sucan. A search engine for mathematical formulae. In International Conference on Arti cial Intelligence and Symbolic Computation, pages 241{253. Springer, 2006.

    [5] Qun Zhang and Abdou Youssef. An approach to math-similarity search. In International Conference on Intelligent Computer Mathematics, pages 404{418. Springer, 2014.

    [6] Bruce R Miller and Abdou Youssef. Technical aspects of the digital library of mathematical functions. Annals of Mathematics and Arti cial Intelligence, 38(1-3):121{136, 2003.

    [7] Robert Miner and Rajesh Munavalli. An approach to mathematical search through query formulation and data normalization. In Towards Mechanized Mathematical Assistants, pages 342{355. Springer, 2007.

    [8] Paul Libbrecht and Erica Melis. Methods to access and retrieve mathematical content in activemath. In International Congress on Mathematical Software, pages 331{342. Springer, 2006.

    [9] Hiroshi Ichikawa, Taiichi Hashimoto, Takenobu Tokunaga, and Hozumi Tanaka. New methods of retrieve sentences based on syntactic similarity. Information Processing Society of Japan SIGNL Note, 2005.

    [10] Moritz Schubotz, Abdou Youssef, Volker Markl, Howard S Cohl, and Jimmy J Li. Evaluation of similarity-measure factors for formulae based on the ntcir-11 math task. In NTCIR, 2014.

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