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The struggle with academic plagiarism: Approaches based on semantic similarity

Vrbanec, Tedo, Mestrovic, Ana·2017·2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)

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Research works printed but not linked: 33

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  15. osman, 2010, Plagiarism detection using graph-based representation, J Comput, 2
  16. baždari?, 2009, Plagiarism as a violation of scientific and academic integrity
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  18. lampret, 2012, Ra?unalni programi i programske usluge za otkrivanje plagiranja u znanosti i obrazovanju, MEDIX, 18
  19. birki?, 2016, Izvještaj: Analiza softvera za otkrivanje plagiranja u znanosti i obrazovanju, Zagreb
  20. chong, 2010, Using natural language processing for automatic detection of plagiarism
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  23. vukovi?, 2016, Plagiranje - Svcu?ilište u Zarebu još nije uvelo sustav provjere radova, Globalizations, 21, 24
  24. 2016, Plagiarism in a DigitalWorld series, Turnitin�
  25. shea, 2008, A Comparative Study of Two Short Text Semantic Similarity Measures, Artif In tell, 4953, 172
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  27. fernando, 2008, A semantic similarity approach to paraphrase detection, Proceedings of the 11th Annual ResearchColloquium of the UK Special Interest Group for Computational Linguistics, 45
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  29. shenoy, 2012, Semantic Plagiarism Detection System Using Ontology Mapping, Advanced Computing: An International Journal, 3, 59
  30. marsi, 2010, Automatic analysis of semantic similarity in comparable text through syntactic tree matching, 752
  31. alzahrani, 2010, Fuzzy semantic-based string similarity for extrinsic plagiarism detection, Braschler and Harman
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  33. czerski, 2015, Fast plagiarism detection in large scale data

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Metadata

Authors
Vrbanec, T., & Mestrovic, A.
Venue
2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
Publisher
IEEE
Published
2017-05
Pages
870-875
Cited by
12
References
0

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