David Schmidt

David Schmidt is a Researcher at the Chair of Computer Science VI (Artificial Intelligence and Knowledge Systems) within the Institute of Computer Science at the University of Würzburg's Faculty of Mathematics and Computer Science. He has contributed to NLP research and teaching since joining the chair in April 2018 following his Master's completion.

His educational background includes:

• Master of Science in Computer Science, University of Würzburg (2018)

Schmidt specializes in Natural Language Processing with focused expertise in Information Extraction, Coreference Resolution, and Relation Extraction. His research applies these techniques to literary analysis, particularly generating character networks from German fairy tales and novels, bridging computational linguistics and digital humanities to automate structural analysis of narrative texts.

His publication on semi-automatic coreference resolution highlights a research trajectory emphasizing human-AI collaboration, where user-specified knowledge enhances system accuracy. This work reflects broader trends in adaptable NLP tools for specialized domains like literary scholarship.

As part of the Center for Artificial Intelligence and Data Science (CAIDAS) and the Chair of Artificial Intelligence and Knowledge Systems, Schmidt contributes to open-source tool development including ATHEN and CaseTrain, supporting information extraction and knowledge management initiatives across university projects.