Christopher Brückner

Main Research Interests

I am primarily exploring sequence and token classification with hierarchically ordered label taxonomies, and focusing on multilingual domain-specific texts that make people sad.

Projects

GAUK

• Disambiguation of Hierarchical Named Entities (2026-2027)

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

• 2022 - 2023: Mining Massive Datasets at Heidelberg University, Germany
  Based on the Stanford University course CS246 (slides)

Selected Bibliography

• Google Scholar
• ORCID: 0009-0003-1998-4097
• Scopus ID: 58948296200
• Researcher ID: LBR-5503-2024

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)