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20152026
most citedIdentifying Machine-Paraphrased Plagiarism

40 citations · 149 across the 13 of their papers we have counts for

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5 papers · 1 filter

cs.DL2020★ 13 cited

Classification and Clustering of arXiv Documents, Sections, and Abstracts, Comparing Encodings of Natural and Mathematical Language

Philipp Scharpf, Moritz Schubotz, Abdou Youssef +3

In this paper, we show how selecting and combining encodings of natural and mathematical language affect classification and clustering of documents with mathematical content. We de…

cs.DL2020★ 2 cited

Mathematical Formulae in Wikimedia Projects 2020

Moritz Schubotz, André Greiner-Petter, Norman Meuschke +2

This poster summarizes our contributions to Wikimedia's processing pipeline for mathematical formulae. We describe how we have supported the transition from rendering formulae as c…

cs.DL2019★ 24 cited

Improving Academic Plagiarism Detection for STEM Documents by Analyzing Mathematical Content and Citations

Norman Meuschke, Vincent Stange, Moritz Schubotz +2

Identifying academic plagiarism is a pressing task for educational and research institutions, publishers, and funding agencies. Current plagiarism detection systems reliably find i…

cs.DL2019★ 3 cited

Forms of Plagiarism in Digital Mathematical Libraries

Moritz Schubotz, Olaf Teschke, Vincent Stange +2

We report on an exploratory analysis of the forms of plagiarism observable in mathematical publications, which we identified by investigating editorial notes from zbMATH. While mos…

cs.DL2018★ 21 cited

Improving the Representation and Conversion of Mathematical Formulae by Considering their Textual Context

Moritz Schubotz, Andre Greiner-Petter, Philipp Scharpf +3

Mathematical formulae represent complex semantic information in a concise form. Especially in Science, Technology, Engineering, and Mathematics, mathematical formulae are crucial t…