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Dr. rer. nat. Christian Reul

University of Würzburg
Centre for Philology and Digitality
c/o Department for Artificial Intelligence
Am Hubland
D-97074 Würzburg 

Room:  BH008
Phone: +49 931 / 31 - 80722
Fax:    +49 931 / 31 - 86732
christian.reul@uni-wuerzburg.de

 

Projects

 

Education

 

Employment History

  • Since 08/2021: Head of the Digitization Unit of the Centre for Philology and Digitality (University of Würzburg)
  • 10/2018-07/2021: Provisional head of the Digitization Unit of the Centre for Philology and Digitality (University of Würzburg)
  • 10/2015-10/2018: Research assistant at the Chair for Artificial Intelligence and Knowledge Systems (University of Würzburg)

 

Awards

 

Academic Activities

  • Member of IAPR, DAGM, EADH, DHd
  • Founding chairman of DHd Working Group OCR
  • Joint Organizer of the Working Group "Digital Edition" at the University of Würzburg
  • Reviewer of research grants for several funding organziations in Germany and Austria
  • Reviewer for various journals and conferences in the area of Artificial Intelligence, Pattern Recognition, and Digital Humanities; among others DHQ, JLCL, ICPR, VISAPP, EADH, DATeCH, and LREC

 

Selected Publications

A (somewhat) complete list of publications I co-authored can be found here.

 

  • Open Source Handwritten T...
    Open Source Handwritten Text Recognition on Medieval Manuscripts using Mixed Models and Document-Specific Finetuning. Reul, Christian; Tomasek, Stefan; Langhanki, Florian; Springmann, Uwe in 2022 15th IAPR International Workshop on Document Analysis Systems (2022).
  • Mixed Model OCR Training ...
    Mixed Model OCR Training on Historical Latin Script for Out-of-the-Box Recognition and Finetuning. Reul, Christian; Wick, Christoph; Nöth, Maximilian; Büttner, Andreas; Wehner, Maximilian; Springmann, Uwe in 6th International Workshop on Historical Document Imaging and Processing (2021).
  • One-Model Ensemble-Learni...
    One-Model Ensemble-Learning for Text Recognition of Historical Printings. Wick, Christoph; Reul, Christian in Proceedings of the 16th International Conference on Document Analysis and Recognition ICDAR 2021 (2021).
  • Calamari - A High-Perform...
    Calamari - A High-Performance Tensorflow-based Deep Learning Package for Optical Character Recognition. Wick, Christoph; Reul, Christian; Puppe, Frank in Digital Humanities Quarterly (2020). 14(2)
  • OCR4all - An Open-Source ...
    OCR4all - An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings. Reul, Christian; Christ, Dennis; Hartelt, Alexander; Balbach, Nico; Wehner, Maximilian; Springmann, Uwe; Wick, Christoph; Grundig, Christine; Büttner, Andreas; Puppe, Frank in Applied Sciences (2019). 9(22)
  • Automatic Semantic Text T...
    Automatic Semantic Text Tagging on Historical Lexica by Combining OCR and Typography Classification. Reul, Christian; Göttel, Sebastian; Springmann, Uwe; Wick, Christoph; Würzner, Kay-Michael; Puppe, Frank in Proceedings of the 3rd International Conference on Digital Access to Textual Cultural Heritage (2019).
  • Improving OCR Accuracy on...
    Improving OCR Accuracy on Early Printed Books by combining Pretraining, Voting, and Active Learning. Reul, Christian; Springmann, Uwe; Wick, Christoph; Puppe, Frank in JLCL: Special Issue on Automatic Text and Layout Recognition (2018). 33(1) 3–24.
  • Improving OCR Accuracy on...
    Improving OCR Accuracy on Early Printed Books by Utilizing Cross Fold Training and Voting. Reul, Christian; Springmann, Uwe; Wick, Christoph; Puppe, Frank in 2018 13th IAPR International Workshop on Document Analysis Systems (2018).