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
- 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)
- Relation Extraction with Deep Neural Language Models (ELLIIT, 2021–2022)
- Interpreting and Grounding Pre-Trained Representations for Natural Language Processing (WASP, 2020–2025)
Doctoral Students
Principal Supervisor
Assistant Supervisor
Teaching
Bachelor’s and Master’s courses
- AI för naturligt språk (ETE335; in Swedish)
- Language Technology (729G17, 729G86, TDP030)
- Natural Language Processing (TDDE09)
- Text Mining (732A92, TDDE16)
PhD courses
- Deep Learning for Natural Language Processing (WASP Graduate School)
- Natural Language Processing (CUGS Graduate School in Computer Science)