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Johannes Stegmüller 

Data & Knowledge Engineering Group
University of Wuppertal
School of Electrical,
Information and Media Engineering
Rainer-Gruenter-Str. 21
D-42119 Wuppertal
Office: FC 1.19

JStegmuellerThesis{at}googlemail.com

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Johannes Stegmüller

Doctoral Researcher

FC 1.19

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SHORT BIOGRAPHY

Johannes Stegmüller is a doctoral researcher in Natural Language Processing at the Data & Knowledge Engineering Group at the University of Wuppertal, Germany. 

After three years of working as a developer after his studies, he decided to start his scientific activity, fascinated by the available methods to computationally comprehend the rising amounts of textual data on the internet. 

From a technical point of view, he has climbed up to the OSI model since his studies until now: He started studying electrical engineering, then worked on embedded systems, then on P2P-Networking applications. Now he is creating software that processes human communication output in the form of written text.

Before Coronavirus, he spent time organizing Meetups in Mannheim. Nowadays, he is enjoying his free time camping in a tent or hitchhiking. 

RESEARCH INTERESTS

  • Event Detection and Extraction
  • Temporal and Causal Ordering of Events
  • Word Sense Inference and Disambiguation
  • Linked Data

PUBLICATIONS

  1. Automatisierte Optimierung und Strukturierung von OCR-Ergebnissen mit nachnutzbaren Werkzeugen
    Jan Kamlah, Johannes Stegmüller, Irene Schumm, Philipp Zumstein
    Conference Presentation, 108. Deutscher Bibliothekartag 2019, 2019 PDF
  2. Ocromore : Combining multiple OCR-engine results to improve character recognition accuracy
    J. Kamlah, J. Stegmüller
    Conference Presentation, 14. International Bibliotheca Baltica Symposium 2018, 2018 PDF
zuletzt bearbeitet am: 11.09.2020