Analyzing Semantic Concept Patterns to Detect Academic Plagiarism-Reference-Cited by-同舟云学术

Analyzing Semantic Concept Patterns to Detect Academic Plagiarism

Published:2017-12-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 6th International Workshop on Mining Scientific Publications
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Author:

Meuschke Norman¹,Siebeck Nicolas¹,Schubotz Moritz¹,Gipp Bela¹

Affiliation:

1. Department of Computer and Information Science, University of Konstanz, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3127526.3127535

Reference40 articles.

1. Salha Alzahrani Vasile Palade Naomie Salim and Ajith Abraham. 2011. Using Structural Information and Citation Evidence to Detect Significant Plagiarism Cases in Scientific Publications. JASIST 63

2. (2) (2011) 286--312. 10.1002/asi.21651 Salha Alzahrani Vasile Palade Naomie Salim and Ajith Abraham. 2011. Using Structural Information and Citation Evidence to Detect Significant Plagiarism Cases in Scientific Publications. JASIST 63

3. (2) (2011) 286--312. 10.1002/asi.21651

4. The ESA retrieval model revisited

5. Evaluating WordNet-based Measures of Lexical Semantic Relatedness

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