Logo UK Logo MFF

Institute of Formal and Applied Linguistics


Charles University, Czech Republic
Faculty of Mathematics and Physics

ÚFAL
Christopher Brückner

Christopher Brückner

office
424
email
bruckner@ufal.mff.cuni.cz
address
Malostranské náměstí 25
118 00 Praha 1
Czech Republic

Main Research Interests

I am currently exploring graph neural networks for text classification with hierarchically ordered label taxonomies, as well as their applications in named entity disambiguation with hierarchical entity types and other graph-constrained NLP problems. I focus on multilingual domain-specific solutions and texts that make people sad.

If you want to learn more about how graphs are related to modern NLP, I recommend the following article: Transformers are Graph Neural Networks

"Učí se mluvit, psát a počítat. Mají totiž úžasnou paměť. Kdybyste jim přečetla dvaceti svazkový Naučný slovník, budou vám všechno opakovat po pořádku. Něco nového nikdy nevymyslí."
― Karel Čapek on LLMs. Or in R.U.R.—I forgot.

Projects

GAUK

Horizon Europe

  • MEMORISE: Virtualisation and Multimodal Exploration of Heritage on Nazi Persecution (2024-2026)
  • TWIN4DEM: Strengthening Democratic Resilience Through Digital Twins (2025-2026)

Curriculum Vitae

Academia

  • since 2023: Ph.D. in Computational Linguistics at ÚFAL MFF UK
    Topic: Information extraction from domain-specific data
    Supervisor: Pavel Pecina
  • 2020 - 2023: M.Sc. in Data and Computer Science at Heidelberg University, Germany
    Thesis: Multi-Feature Clustering of Search Results (pdf, slides)
    Minor: Computational Linguistics
  • 2016 - 2020: B.Sc. in Applied Computer Science at Heidelberg University, Germany
    Thesis: Structure-Centric Near-Duplicate Detection (pdf, slides)
    Minor: Physics

Industry

  • 2022 - 2023: Data Scientist at sovanta AG, Heidelberg, Germany
    Multilingual text classification and anomaly detection for imbalanced data in cloud environments

Teaching

Selected Bibliography

  1. Christopher Brückner, Jan Lehečka, Jan Švec, and Pavel Pecina. 2026. Modeling the Language of Holocaust Survivor's Testimony with Domain-Adapted Transformers. In Proceedings of the 2nd Workshop on Holocaust Testimonies as Language Resources (HTRes-2026), Palma de Mallorca, Spain. ELRA. (local pdf)
  2. Christopher Brückner, Karin Roginer Hofmeister, Jiří Kocián, and Pavel Pecina. 2026. From Oral History to Structure Data: The MalachNER Dataset. In Proceedings of the 2nd Workshop on Holocaust Testimonies as Language Resources (HTRes-2026), Palma de Mallorca, Spain. ELRA. (local pdf)
  3. Christopher Brückner and Pavel Pecina. 2025. Hierarchical Classification of Propaganda Techniques in Slavic Texts in Hyperbolic Space. In Proceedings of the 10th Workshop on Slavic Natural Language Processing (Slavic NLP 2025), pages 183–189, Vienna, Austria. Association for Computational Linguistics. (local pdf, poster, slides)
  4. Christopher Brückner and Pavel Pecina. 2025. Towards Semantic Tagging of Segmented Holocaust Narratives. In Compendium of Papers of the Prague Visual History and Digital Humanities Conference 2025, pages 177–192, Prague, Czechia. MatfyzPress. (local pdf, slides)
  5. Christopher Brückner, Leixin Zhang, and Pavel Pecina. 2024. Similarity-Based Cluster Merging for Semantic Change Modeling. In Proceedings of the 5th Workshop on Computational Approaches to Historical Language Change, pages 23–28, Bangkok, Thailand. Association for Computational Linguistics. (local pdf, poster)