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Philipp Scharpf

University of Konstanz
Dept. of Computer and Information Science
Building Z, Room 725
Box 76, 78457 Konstanz, Germany


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Philipp Scharpf

Doctoral Researcher

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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. 



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



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.


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

  1. 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
  2. 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
  3. 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
  4. Improving the Representation and Conversion of Mathematical Formulae by Considering their Textual Context
    Schubotz, M. Greiner-Petter, A. Scharpf, P. Meuschke, N. Cohl, H. Gipp, B.
    Full paper in Proceedings of the ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), Fort Worth, USA, 2018
  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
zuletzt bearbeitet am: 04.11.2020