Plagiarism Detection Based on Citing Sentences
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.
KeywordsPlagiarism detection Information retrieval Citation analysis
- 3.Potthast, M., Gollub, T., Hagen, M., Graßegger, J., Kiesel, J., Michel, M., Oberländer, A., Tippmann, M., Barrón-Cedeño, A., Gupta, P., Rosso, P., Stein, B.: Overview of the 4th international competition on plagiarism detection. In: Forner, P., Karlgren, J., Womser-Hacker, C. (eds.) Working Notes Papers of the CLEF 2012 Evaluation Labs (2012)Google Scholar
- 4.Gupta, P., Rosso, P.: Text reuse with ACL: (upward) trends. In: Proceedings of the ACL-2012 Special Workshop on Rediscovering 50 Years of Discoveries, pp. 76–82. ACL (2012)Google Scholar
- 6.HaCohen-Kerner, Y., Tayeb, A., Ben-Dror, N.: Detection of simple plagiarism in computer science papers. In: Proceedings of the 23rd International Conference on Computational Linguistics, pp. 421–429. ACL (2010)Google Scholar
- 7.Gipp, B., Meuschke, N.: Citation pattern matching algorithms for citation-based plagiarism detection: greedy citation tiling, citation chunking and longest common citation sequence. In: Proceedings of the 11th ACM Symposium on Document Engineering, pp. 249–258. ACM (2011). doi: 10.1145/2034691.2034741