Kilian Theil

Researcher

B6, 26, Room C1.05

E-mail: kilian (at) informatik.uni-mannheim.de

Focus group: Artificial intelligence

Research Interests

Natural Language Processing in behavioral economics
- Linguistic uncertainty detection in financial disclosures
- Risk explanation/prediction from text
Ethical implications of smart cities
- Agent-based traffic simulations

Theil, Kilian; Hovy, Dirk; Stuckenschmidt, Heiner: “Top-Down Influence? Predicting CEO Personality and Risk Impact from Speech Transcripts.” arXiv link.
Theil, Kilian; Daube, Jens; Stuckenschmidt, Heiner: “Causal Effects of Linguistic Uncertainty on Risk Perception and Investment Behavior.” SSRN link.

Theil, K., Hovy, D. and Stuckenschmidt, H. (2023). Top-down influence? Predicting CEO personality and risk impact from speech transcripts. In , Proceedings of the seventeenth International AAAI Conference on web and social media : June 5th – 8th 2023, Limassol, Cyprus (S. 832–841). International AAAI Conference on Web and Social Media, AAAI Press: Palo Alto, Calif..
Kappenberger, J., Theil, K. and Stuckenschmidt, H. (2022). Evaluating the impact of AI-based priced parking with social simulation. In , Social Informatics: 13th International Conference, SocInfo 2022, Glasgow, UK, October 19–21, 2022, proceedings (S. 54–75). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Theil, C. K. and Stuckenschmidt, H. (2020). Predicting modality in financial dialogue. In , FNP-FNS 2020 : Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation, December 2020, Barcelona, Spain (Online) (S. 226–234). ACL Anthology, Association for Computational Linguistics: Stroudsburg, PA.
Theil, C. K., Broscheit, S. and Stuckenschmidt, H. (2019). PRoFET: Predicting the risk of firms from event transcripts. In , Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10–16, 2019 (S. 5211-5217). , IJCAI/AAAI Press: Menlo Park, CA.

Theil, C. K., Štajner, S. and Stuckenschmidt, H. (2020). Explaining financial uncertainty through specialized word embeddings. ACM/IMS Transactions on Data Science : TDS, 1, Article 6, 1–19.

Gerdon, F., Theil, C. K., Kern, C., Bach, R. L., Kreuter, F., Stuckenschmidt, H. and Eckert, K. (2020). Exploring impacts of artificial intelligence on urban societies with social simulations. 40. Kongress der Deutschen Gesellschaft für Soziologie, Online.

Jonathan Baumert (2022, M.Sc.): Measuring Corporate Alignment with the Sustainable Development Goals
Jakob Gutmann (2021, M.Sc.): Modelling Dynamic Pricing Schemes for Parking in Inner Cities
Paul Exner (2021, B.Sc.): Simulating Socio-Economic Effects of Parking Violation Detection
Jens Daube (2020, M.Sc.): Experimental Evaluation of Uncertainty Perception in Financial Disclosures
Eni Papuciu (2019, M.Sc.): Detecting Linguistic Uncertainty in Finance and Measuring Its Perception

Code and data of our 2020 COLING FNP paper “Predicting Modality in Financial Dialogue”
Code and data of our 2020 ACM-TDS paper “Explaining Financial Uncertainty Through Specialized Word Embeddings”
Code, data and embedding models of our 2019 IJCAI paper “PRoFET: Predicting the Risk of Firms from Event Transcripts”
Appendix and embedding model of our 2018 ACL ECONLP paper “Word Embeddings-Based Uncertainty Detection in Financial Disclosures”
Dataset of our 2017 CICLing paper; sentences and labels (“c” = certain, “u” = uncertain) are comma-separated