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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{Adapting Coreference Algorithms to German Fairy Tales} in Proceedings of the DHd 2022, M. Geierhos, P. Trilcke, I. Börner, S. Seifert, A. Busch, P. Helling (reds.) (2022).
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The {F}airy{N}et Corpus - Character Networks for {G}erman Fairy Tales in Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (2021). 49–56.
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Integrating user-specified Knowledge for semi-automatic Coreference Resolution (2020).
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Detecting Character References in Literary Novels using a Two Stage Contextual Deep Learning approach (P. Sahle; P. Helling, reds.) (2019). Zenodo.