SHORT BIOGRAPHY

I wrote my master’s thesis in physics on the topic “Simulation and Visualization of Gravitational Waves from Binary Black Holes” at the University of Konstanz. During my research as a physicist, I realized the current need for effective tools to process mathematical formulae in document analysis.

RESEARCH INTERESTS

• Mathematical Information Retrieval (MIR)
• Methods to improve accessing mathematical formulae in STEM documents for search-, recommender-, plagiarism and novelty detection systems

TEACHING & PROJECTS

The following list illustrates examples of the student projects (see pdf file here). Feel free to contact me if you have interest in any of these topics.

SELECTED PUBLICATIONS

For a list of my publications see also my profiles on Google Scholar and ResearchGate.

1. Fast Linking of Mathematical Wikidata Entities in Wikipedia Articles Using Annotation Recommendation
   P. Scharpf, M. Schubotz, and B. Gipp
   in Proceedings of the Web Conference (WWW) 2021, 2021.
   PDF
2. Classification and Clustering of arXiv Documents, Sections, and Abstracts, Comparing Encodings of Natural and Mathematical Language
   P. Scharpf, M. Schubotz, A. Youssef, F. Hamborg, N. Meuschke, and B. Gipp
   in Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2020
   PDF
3. Representing Mathematical Formulae in Content MathML using Wikidata
   Scharpf, P. Schubotz, M. Gipp, B.
   Workshop paper at the ACM SIGIR Conference on Research and Development in Information Retrieval, 2018
   PDF
4. Introducing MathQA – A Math-Aware Question Answering System
   Schubotz, M. Scharpf, P. Gipp, B.
   Workshop paper at the Joint Conference on Digital Libraries (JCDL), 2018
   PDF
5. Towards Formula Concept Discovery and Recognition
   Scharpf, P. Schubotz, M. Cohl, H. Gipp, B.
   Workshop paper at the ACM Conference on Research and Development in Information Retrieval (SIGIR), 2019
6. AnnoMathTeX – a Formula Identifier Annotation Recommender System for STEM Documents
   Scharpf, P. Mackerracher, I. Schubotz, M. Beel, J. Breitinger, C. Gipp, B.
   Demo paper at the ACM Conference on Recommender Systems (RecSys), 2019