My research interest is in Generative AI and Foundation Models on multiple modalities, with a focus on business data.
Talks
- 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
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.
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.
2018
Digitalisierung gestalten mit dem Periodensystem der Künstlichen Intelligenz Technical Report
2018.
diaNED: Time-Aware Named Entity Disambiguation for Diachronic Corpora Proceedings Article
In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Australia, ACL 2018, pp. 686–693, 2018.
A Study of the Importance of External Knowledge in the Named Entity Recognition Task Proceedings Article
In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, pp. 241–246, 2018.
2017
KnowNER - Incremental Multilingual Knowledge in Named Entity Recognition Journal Article
In: CoRR, vol. cs.CL, 2017.
2016
The Knowledge Awakens: Keeping Knowledge Bases Fresh with Emerging Entities Proceedings Article
In: Proceedings of the 25th International Conference Companion on World Wide Web, WWW 2016, Montreal, Canada, pp. 203–206, International World Wide Web Conferences Steering Committee, 2016.
YAGO - A Multilingual Knowledge Base from Wikipedia, Wordnet, and Geonames. Proceedings Article
In: Proceedings of the 15th International Semantic Web Conference, ISWC 2016, pp. 177–185, Springer International Publishing, Cham, 2016.
Ten Years of Knowledge Harvesting: Lessons and Challenges Journal Article
In: IEEE Data Eng. Bull., vol. 39, no. 3, pp. 41–50, 2016.
Context-Sensitive Auto-Completion for Searching with Entities and Categories Proceedings Article
In: Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval - Systems Demonstrations, pp. 1097–1100, ACM Press, 2016.
DeepLife: An Entity-aware Search, Analytics and Exploration Platform for Health and Life Sciences Proceedings Article
In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics - System Demonstrations, pp. 19–24, 2016.
Discovering Entities with Just a Little Help from You Proceedings Article
In: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, USA, pp. 1331–1340, ACM Press, 2016.
2015
Discovering and Disambiguating Named Entities in Text PhD Thesis
2015.

