Plagiarism Detection Based on Citing Sentences

  • Sidik SolemanEmail author
  • Atsushi Fujii
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10450)


Plagiarism, which is one of the forms of academic misconducts, is problematic. It results in discouraging innovation, and losing trust in the academic community. We modeled the plagiarism for academic publications, by means of the similarity between textual contents, and citation relations. Furthermore, we adopted the model in our proposed method for plagiarism detection. We evaluate our method using two types of dataset, namely auto-simulated and manually judged dataset. Our experiment shows that our method outperforms the baseline, which only uses the similarity between textual contents, on the auto-simulated dataset and the manually judged one for the ACL sub-dataset.


Plagiarism detection Information retrieval Citation analysis 


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Tokyo Institute of TechnologyTokyoJapan

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