Christian Gold

Christian Gold (PhD) Photo: Henrik Schipper

Christian Gold (PhD)

Researcher at the professorship Computational Linguistics


Universitätsstraße 27 – PRG / Gebäude 5
Raum B116 / 1. OG
58097 Hagen

What is my role within CATALPA?

As an academic researcher in image processing, I combine the image processing with computational linguistics to investigate the possibilities and limitations of automatic handwriting recognition in educational settings for learners and, in particular, improve image preprocessing using artificial intelligence.


With the well-organized, highly networked and creative work environment with modern workplace equipment, I feel supported and well taken care of at CATALPA in my goal of building a complete assessment pipeline from the submission of a handwritten exam to the automatic scoring.

    • Research Assistant at CATALPA FernUniversität Hagen (since 04/2022)
    • Research Assistant at Language Technology Lab University Duisburg-Essen (02/2019 - 04/2022)
    • PhD student at University Duisburg-Essen (since 2019)
    • Project-Engineer in computer vision (2015-2019)
    • MSc in Optotechnics and Image Processing at the university of applied science in Darmstadt (2014-2015)
    • BSc in Optotechnics and Image Processing at the university of applied science in Darmstadt (2010-2014)
    • Handwriting recognition, motivated by own ancestry research.
    • Neural Networks, a magic cure?
    • Image Processing, because we can read much more out of images than we are aware of.
  • I am currently working in different projects of the professorship "Computational Linguistics".

  • 2023


    • Gold, C., Laarmann-Quante, R., & Zesch, T. (2023a). Preserving the authenticity of handwritten learner language: Annotation guidelines for creating transcripts retaining orthographic features. 1st Computation and Written Language (CAWL) Workshop at ACL.
    • Gold, C., Laarmann-Quante, R., & Zesch, T. (2023b). Recognizing learner handwriting retaining orthographic errors for enabling fine-grained error feedback. Innovative Use of NLP for Building Educational Applications (BEA) Workshop at ACL.



    • Gold, C., & Zesch, T. (2022, December). CNN-based ruled line removal in handwritten documents. Proceedings of the 18th International Conference on Frontiers of Handwriting Recognition (ICFHR 2022).



    • Gold, C., Boom, D. van den, & Zesch, T. (2021). Personalizing Handwriting Recognition Systems with Limited User-Specific Samples. Proceedings of the 16th International Conference on Document Analysis and Recognition (ICDAR 2021).




  • Research Gate