David Schmidt, M. Sc.
Universität Würzburg
Lehrstuhl für künstliche Intelligenz
und Wissenssysteme
Am Hubland
D-97074 Würzburg
Room: B009
Phone: +49 931 / 31 - 86903
Fax: +49 931 / 31 - 86732
david.schmidt@informatik.uni-wuerzburg.de
About Me
I completed my masters degree in computer science at the University of Würzburg in February 2018 and have been working at the chair for artificial intelligence since april 2018. I research the automatic generation of character networks from fairy tales and novels.
Research Interests
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Natural language processing
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Information extraction
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Coreference resolution
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Relation extraction
Teaching
| SS22 | Software engineering (Coordinator of exercises) |
| SS21 | Medical informatics (Coordinator of exercises) |
| SS20 | Advanced Databases (Coordinator of exercises) |
| WS 19/20 | E-Learning (Coordinator of exercises) |
| SS19 | Software engineering (Coordinator of exercises) |
| WS18/19 | E-Learning (Coordinator of exercises |
| SS18 | Software engineering (Coordinator of exercises) |
Publications
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Schmidt, D., Krug, M., & Puppe, F. {Adapting Coreference Algorithms to German Fairy Tales}. In M. Geierhos, P. Trilcke, I. Börner, S. Seifert, A. Busch, & P. Helling (Reds), Proceedings of the DHd 2022. Zenodo. https://doi.org/10.5281/zenodo.6328165 -
Schmidt, D., Zehe, A., Lorenzen, J., Sergel, L., D{\"u}ker, S., Krug, M., & Puppe, F. The {F}airy{N}et Corpus - Character Networks for {G}erman Fairy Tales. Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, 49-56. https://doi.org/10.18653/v1/2021.latechclfl-1.6
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Schmidt, D., Krug, M., & Puppe, F. Integrating user-specified Knowledge for semi-automatic Coreference Resolution. https://doi.org/10.5281/zenodo.4621748
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Krug, M., Kempf, S., Schmidt, D., Weimer, L., & Puppe, F. Detecting Character References in Literary Novels using a Two Stage Contextual Deep Learning approach (P. Sahle & P. Helling, Reds). Zenodo. https://doi.org/10.5281/zenodo.4622060
