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Improving Academic Plagiarism Detection for STEM Documents by Analyzing Mathematical Content and Citations
Overall, we show that analyzing the similarity of mathematical content and academic citations is a striking supplement for conventional text-based detection approaches for academic literature in the STEM disciplines.
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