Christoph Kilian Theil


B6, 26, Room C1.05

Phone: +49 621 181 2663

E-mail: christoph (at)

LinkedIn Profile

PhD Project

Automatic content analysis in accounting and finance

Research Interests

  • Text analysis of financial disclosures
  • Uncertainty detection
  • Readability/complexity analysis


  • Appendix of our 2018 ECONLP paper "Word Embeddings-Based Uncertainty Detection in Financial Disclosures"
  • Domain-specific embedding model of our 2018 ECONLP paper
  • Preprint of our 2017 CICLing paper "Automatic Detection of Uncertain Statements in the Financial Domain"
  • Dataset of our 2017 CICLing paper; sentences and labels ("c" = certain, "u" = uncertain) are comma-separated

 If you use any of this data in your research, please cite the corresponding paper.



  • Christoph Kilian Theil, Sanja Štajner and Heiner Stuckenschmidt Word embeddings-based uncertainty detection in financial disclosures. In: ACL 2018 Workshop on Economics and Natural Language Processing (ECONLP); tba. Association for Computational Linguistics, Stroudsburg, PA, 2018.
  • Christoph Kilian Theil, Sanja Štajner, Heiner Stuckenschmidt and Simone Paolo Ponzetto Automatic detection of uncertain statements in the financial domain. In: Lecture Notes in Computer ScienceComputational Linguistics and Intelligent Text Processing : 18th International Conference, CICLing 2017, Budapest, Hungary, April 17–23, 2017, Revised Selected Papers, Part I / II; tba. Springer International Publishing, Cham, 2018.