Marco Kuhlmann
Professor of Computer Science
Natural Language Processing Group
Department of Computer and Information Science
Linköping University
(First contact? Please read my FAQ.)
Research
I design algorithms for the automated analysis of natural language. My focus is on methods for parsing sentences into formal representations of their syntax and semantics.
Projects
- Efficient Modularisation and Adaptation of Large Language Models (WASP, 2024–2029)
- Democratising Trustworthy and Efficient Large Language Model Technology for Europe (EU, 2023–2026)
- Synthesis and Analysis with Transducers and Invertible Neural Generators (WASP, 2022–2027)
- A Practical Theory of Computation for Modern Neural Network Architectures (WASP, 2022–2026)
- Interpreting and Grounding Pre-Trained Representations for Natural Language Processing (WASP, 2020–2025)
Doctoral Students
Principal Supervisor
Assistant Supervisor
Teaching
- AI för naturligt språk (ETE335)
- Natural Language Processing (TDDE09)
- Natural Language Processing (ETE387)
- Deep Learning for Natural Language Processing (WASP Graduate School)