My research interest is in Generative AI and Foundation Models on multiple modalities, with a focus on business data.
Talks
- Guest Lecture at TUM in Foundations and Application of Generative AI (CITHN2014), Heilbronn, Dec 2025
- Turning the Tables: The ChatGPT Moment for Tabular Data. Keynote at MMK Heilbronn, Heilbronn, Dec 2025
- Neural Relational Data: Tabular Foundation Models, LLMs… or both? Panel Discussion at VLDB 2025, London, Sep 2025
- Foundation Models on Linked Business Data. Keynote at WSDM 2025, Hannover, Mar 2025
- Foundation Models on Linked Business Data. Keynote at AutoML 24, Paris, Sep 2024
- Foundation Models x Linked Business Data. Invited talk at LMU Munich, May 2024
- Participated in panel discussion on Generative AI for companies: much attention, (too) many expectations? organised by PLS at Hannover Messe 2024, April 2024
- Foundation Models x Linked Business Data. Keynote at the Ellis Workshop on Semantic, Symbolic and Interpretable Machine Learning at MFO, February 2024
- How Large Language Models are impacting business applications today … and what’s still to come. Future of AI, May 2023
- Generative KI und ChatGPT – müssen wir nicht mehr (selbst) denken? Presentation in the series acatech am Dienstag, March 2023
- Rich Text, Lean Knowledge Bases: Knowledge Extraction from Financial Documents. Keynote at The AAAI-21 Workshop on Knowledge Discovery from Unstructured Data in Financial Services (AAAI-KDF), February 2021
- Executable Credit Agreements – Goldman Sachs R&D Core AI at the Virtual Heidelberg Laureate Forum.
vHLF 2020, Heidelberg, Germany, September 2020 - NLP in the Financial Domain: Extra Dimensions for Natural Language Processing.
SydneyNLP Meetup, Sydney, Australia, September 2020 - Natural Language Understanding and Knowledge Bases in Finance (and AI Research at Goldman Sachs).
NEC Labs Heidelberg, Heidelberg, Germany, January 2020 - Riesige Mengen von Dokumenten besser durchsuchen und analysieren.
Bundeszentralamt für Steuern, Bonn, Germany, February 2017 - Knowledge Bases for Web Content Analytics.
Tutorial at the 24th International World Wide Web Conference, Florence, Italy, WWW 2015 - Discovering and Disambiguating Named Entities in Text.
Fudan University, Shanghai, China. November 2014 - Discovering and Disambiguating Named Entities in Text.
HPC Lab at ISTI, CNR, Pisa, Italy. October 2014 - Constructing a Spatio-Temporal Knowledge Base and using it to Process and Understand Natural Language Text.
Seoul National University (invited by Saltlux), Seoul, South Korea. August 2013 - Robust Disambiguation of Named Entities in Text.
Google Zurich, Switzerland. August 2011
Publications
2025
Foundation Models for Tabular Data within Systemic Contexts Need Grounding Miscellaneous
2025.
2024
SALT: Sales Autocompletion Linked Business Tables Dataset Proceedings Article
In: 3rd Table Representation Learning Workshop @ NeurIPS 2024, 2024.
PORTAL: Scalable Tabular Foundation Models via Content-Specific Tokenization Proceedings Article
In: 3rd Table Representation Learning Workshop @ NeurIPS 2024, 2024.
2023
Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods? Proceedings Article
In: Proceedings of the ACM Web Conference 2023, pp. 2455–2466, 2023.
Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods? Proceedings Article
In: Proceedings of the ACM Web Conference 2023, pp. 2455–2466, 2023.
2021
KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction Proceedings Article
In: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pp. 535–548, 2021.
HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations Proceedings Article
In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management, CIKM 2021, pp. 89–99, 2021.
Unsupervised Multi-View Post-OCR Error Correction With Language Models Proceedings Article
In: Proceeedings of the 2021 Conference on Empirical Methods in Natural Language, Punta Cana, Dominican Republic, 2021, pp. 8647–8652, 2021.
CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata Proceedings Article
In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2021, pp. 504-514, 2021.
RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network Proceedings Article
In: Proceedings of the 30th The Web Conference, WWW 2021, 2021.
From Stock Prediction to Financial Relevance: Repurposing Attention Weights to Assess News Relevance Without Manual Annotations Proceedings Article
In: Economics and Natural Language Processing (ECONLP), Workshop at the 2021 Conference on Empirical Methods in Natural Language, Punta Cana, Dominican Republic, 2021, 2021.
KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction Proceedings Article
In: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pp. 535–548, 2021.
HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations Proceedings Article
In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management, CIKM 2021, pp. 89–99, 2021.
Unsupervised Multi-View Post-OCR Error Correction With Language Models Proceedings Article
In: Proceeedings of the 2021 Conference on Empirical Methods in Natural Language, Punta Cana, Dominican Republic, 2021, pp. 8647–8652, 2021.
CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata Proceedings Article
In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2021, pp. 504-514, 2021.
RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network Proceedings Article
In: Proceedings of the 30th The Web Conference, WWW 2021, 2021.
From Stock Prediction to Financial Relevance: Repurposing Attention Weights to Assess News Relevance Without Manual Annotations Proceedings Article
In: Economics and Natural Language Processing (ECONLP), Workshop at the 2021 Conference on Empirical Methods in Natural Language, Punta Cana, Dominican Republic, 2021, 2021.
2020
Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models Proceedings Article
In: Proceedings of the 29th ACM International Conference on Information and Knowledge Management, CIKM 2020, pp. 2157–2160, 2020.
Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models Proceedings Article
In: Proceedings of the 29th ACM International Conference on Information and Knowledge Management, CIKM 2020, pp. 2157–2160, 2020.
2019
Knowledge Harvesting: Achievements and Challenges Journal Article
In: Computing and Software Science, vol. 10000, no. 1, pp. 217–235, 2019.

