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Optimisation of Character n-gram Profiles Method for Intrinsic Plagiarism Detection

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Artificial Intelligence and Soft Computing (ICAISC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8468))

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Abstract

The focus of the paper is to improve intrinsic plagiarism detection. The paper investigates and improves performance of character n-grams profiles method proposed by Stamatatos by tuning its parameter settings and proposing new modifications and rich feature sets. We raised the overall plagdet score from 24.67% to 33.41% for the PAN-PC09 corpus and from 18.83% to 26.66% for the PAN-PC11 corpus. Results are reported on PAN-PC09 and PAN-PC11 corpora, which are especially well suited for this task and were previously used in Plagiarism Analysis, Authorship Identification, and Near-Duplicate Detection (PAN) competitions.

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References

  1. McCabe, D.: Levels of cheating and plagiarism remain high. Technical report, Duke University, Center for Academic Integrity (2005)

    Google Scholar 

  2. Sheard, J., Dick, M., Markham, S., MacDonald, I., Walsh, M.: Cheating and plagiarism: Perceptions and practices of first year IT students. In: Caspersen, M.E., Joyce, D., Goelman, D., Utting, I. (eds.) Seventh Annual Conference on Innovation and Technology in Computer Science Education, pp. 183–187 (2002)

    Google Scholar 

  3. Stein, B., Lipka, N., Prettenhofer, P.: Intrinsic plagiarism analysis. Language Resources and Evaluation 45(1), 63–82 (2011)

    Article  Google Scholar 

  4. Oberreuter, G., L’Huillier, G., Ríos, S.A., Velásquez, J.D.: Approaches for intrinsic and external plagiarism detection - Notebook for PAN at CLEF 2011. In: Petras, V., Forner, P., Clough, P.D. (eds.) Notebook Papers of CLEF 2011 LABs and Workshops (2011)

    Google Scholar 

  5. Potthast, M., Eiselt, A., Barrón-Cedeño, A., Stein, B., Rosso, P.: Overview of the 3rd international competition on plagiarism detection. In: Petras, V., Forner, P., Clough, P.D. (eds.) Notebook Papers of CLEF 2011 LABs and Workshops (2011)

    Google Scholar 

  6. Kestemont, M., Luyckx, K., Daelemans, W.: Intrinsic plagiarism detection using character trigram distance scores - Notebook for PAN at CLEF 2011. In: Petras, V., Forner, P., Clough, P.D. (eds.) Notebook Papers of CLEF 2011 LABs and Workshops (2011)

    Google Scholar 

  7. Stamatatos, E.: Intrinsic plagiarism detection using character n-gram profiles. In: Stein, B., Rosso, P., Stamatatos, E., Koppel, M., Agirre, E. (eds.) SEPLN 2009 Workshop on Uncovering Plagiarism, Authorship, and Social Software Misuse (PAN 2009), pp. 38–46 (2009)

    Google Scholar 

  8. Akiva, N.: Using clustering to identify outlier chunks of text - Notebook for PAN at CLEF 2011. In: Petras, V., Forner, P., Clough, P.D. (eds.) Notebook Papers of CLEF 2011 LABs and Workshops (2011)

    Google Scholar 

  9. Seaward, L., Matwin, S.: Intrinsic plagiarism detection using complexity analysis. In: Stein, B., Rosso, P., Stamatatos, E., Koppel, M., Agirre, E. (eds.) SEPLN 2009 Workshop on Uncovering Plagiarism, Authorship, and Social Software Misuse (PAN 2009), pp. 56–61 (2009)

    Google Scholar 

  10. Potthast, M., Eiselt, A., Stein, B., Barrón-Cedeño, A., Rosso, P.: Plagiarism Corpus PAN-PC 2009 (2009), http://www.webis.de/research/corpora

  11. Potthast, M., Stein, B., Barrón-Cedeño, A., Rosso, P.: An Evaluation Framework for Plagiarism Detection. In: Huang, C.R., Jurafsky, D. (eds.) 23rd International Conference on Computational Linguistics (COLING 2010), pp. 997–1005. Association for Computational Linguistics (2010)

    Google Scholar 

  12. Barrón-Cedeño, A., Potthast, M., Rosso, P., Stein, B., Eiselt, A.: Corpus and Evaluation Measures for Automatic Plagiarism Detection. In: Calzolari, N., Choukri, K., Maegaard, B., Mariani, J., Odijk, J., Piperidis, S., Rosner, M., Tapias, D. (eds.) 7th Conference on International Language Resources and Evaluation (LREC 2010). European Language Resources Association (ELRA) (2010)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science, Faculty of Computer Science, Electronics and Telecommunications, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Krakow, Poland

    Marcin Kuta & Jacek Kitowski

Authors
  1. Marcin Kuta
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  2. Jacek Kitowski
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Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Armii Krajowej 36, 42-200, Częstochowa, Poland

    Leszek Rutkowski  & Rafał Scherer  & 

  2. Częstochowa University of Technology, 42-200, Częstochowa, Poland

    Marcin Korytkowski

  3. AGH University of Science and Technology, Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Computer Science Division, Department of Electrical Engineering and Computer Sciences, University of California Berkeley, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  5. Computational Intelligence Laboratory, Electrical and Computer Engineering, University of Louisville, 405 Lutz Hall, 40292, Louisville, KY, USA

    Jacek M. Zurada

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© 2014 Springer International Publishing Switzerland

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Kuta, M., Kitowski, J. (2014). Optimisation of Character n-gram Profiles Method for Intrinsic Plagiarism Detection. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2014. Lecture Notes in Computer Science(), vol 8468. Springer, Cham. https://doi.org/10.1007/978-3-319-07176-3_44

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  • DOI: https://doi.org/10.1007/978-3-319-07176-3_44

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07175-6

  • Online ISBN: 978-3-319-07176-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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