40 citations · 149 across the 13 of their papers we have counts for
15 papers
Diverse Word Choices, Same Reference: Annotating Lexically-Rich Cross-Document Coreference
Anastasia Zhukova, Felix Hamborg, Karsten Donnay +2
Cross-document coreference resolution (CDCR) identifies and links mentions of the same entities and events across related documents, enabling content analysis that aggregates infor…
Recommending Research Papers to Chemists: A Specialized Interface for Chemical Entity Exploration
Corinna Breitinger, Kay Herklotz, Tim Flegelskamp +1
Researchers and scientists increasingly rely on specialized information retrieval (IR) or recommendation systems (RS) to support them in their daily research tasks. Paper recommend…
TASSY -- A Text Annotation Survey System
Timo Spinde, Kanishka Sinha, Norman Meuschke +1
We present a free and open-source tool for creating web-based surveys that include text annotation tasks. Existing tools offer either text annotation or survey functionality but no…
Analyzing Non-Textual Content Elements to Detect Academic Plagiarism
Norman Meuschke
Identifying academic plagiarism is a pressing problem, among others, for research institutions, publishers, and funding organizations. Detection approaches proposed so far analyze…
Incorporating Word Sense Disambiguation in Neural Language Models
Jan Philip Wahle, Terry Ruas, Norman Meuschke +1
We present two supervised (pre-)training methods to incorporate gloss definitions from lexical resources into neural language models (LMs). The training improves our models' perfor…
Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection
Jan Philip Wahle, Terry Ruas, Norman Meuschke +1
The rise of language models such as BERT allows for high-quality text paraphrasing. This is a problem to academic integrity, as it is difficult to differentiate between original an…
Identifying Machine-Paraphrased Plagiarism
Jan Philip Wahle, Terry Ruas, Tomáš Foltýnek +2
Employing paraphrasing tools to conceal plagiarized text is a severe threat to academic integrity. To enable the detection of machine-paraphrased text, we evaluate the effectivenes…
A First Step Towards Content Protecting Plagiarism Detection
Cornelius Ihle, Moritz Schubotz, Norman Meuschke +1
Plagiarism detection systems are essential tools for safeguarding academic and educational integrity. However, today's systems require disclosing the full content of the input docu…
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…
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…
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…
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…
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…
VMEXT: A Visualization Tool for Mathematical Expression Trees
Moritz Schubotz, Norman Meuschke, Thomas Hepp +2
Mathematical expressions can be represented as a tree consisting of terminal symbols, such as identifiers or numbers (leaf nodes), and functions or operators (non-leaf nodes). Expr…
Decentralized Trusted Timestamping using the Crypto Currency Bitcoin
Bela Gipp, Norman Meuschke, André Gernandt
Trusted timestamping is a process for proving that certain information existed at a given point in time. This paper presents a trusted timestamping concept and its implementation i…