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20132026
most citedImproving Academic Plagiarism Detection for STEM Documents by Analyzing Mathematical Content and Citations

24 citations · 126 across the 35 of their papers we have counts for

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12 papers · 1 filter

cs.IR2026

Syntax Meets Semantics: Understanding Scientific Formulae

Yuni Susanti, Moritz Schubotz

Scientific formulae are a fundamental component of scholarly communication, yet their dual nature -- as structured syntax and carriers of semantics -- remains underexplored in scho…

cs.IR2026

Aspect-Aware Content-Based Recommendations for Mathematical Research Papers

Ankit Satpute, André Greiner-Petter, Noah Gießing +4

Content-based research paper recommendation (CbRPR) has seen advances in computer science and biomedicine, but remains unexplored for mathematics, where paper relatedness is more c…

cs.IR2024★ 1 cited

Taxonomy of Mathematical Plagiarism

Ankit Satpute, Andre Greiner-Petter, Noah Gießing +5

Plagiarism is a pressing concern, even more so with the availability of large language models. Existing plagiarism detection systems reliably find copied and moderately reworded te…

cs.IR2023

TEIMMA: The First Content Reuse Annotator for Text, Images, and Math

Ankit Satpute, André Greiner-Petter, Moritz Schubotz +4

This demo paper presents the first tool to annotate the reuse of text, images, and mathematical formulae in a document pair -- TEIMMA. Annotating content reuse is particularly usef…

cs.IR2023★ 1 cited

Methods and Tools to Advance the Retrieval of Mathematical Knowledge from Digital Libraries for Search-, Recommendation-, and Assistance-Systems

Bela Gipp, André Greiner-Petter, Moritz Schubotz +1

This project investigated new approaches and technologies to enhance the accessibility of mathematical content and its semantic information for a broad range of information retriev…

cs.IR2023★ 1 cited

Discovery and Recognition of Formula Concepts using Machine Learning

Philipp Scharpf, Moritz Schubotz, Howard S. Cohl +2

Citation-based Information Retrieval (IR) methods for scientific documents have proven effective for IR applications, such as Plagiarism Detection or Literature Recommender Systems…