Marco Kuhlmann
Associate Professor of Computer Science
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
- Relation Extraction with Deep Neural Language Models (ELLIIT, 2020–2022)
- Interpreting and Grounding Pre-Trained Representations for Natural Language Processing (WASP, 2020–2025)
- Semantic Parsing for Text Analytics (CENIIT, 2015–2020)
Doctoral Students
- Riley Capshaw (assistant supervisor)
- Lovisa Hagström (assistant supervisor)
- Jenny Kunz (principal supervisor)
- Tobias Norlund (assistant supervisor)
- Emanuel Sanchez Aimar (assistant supervisor)
Teaching
I teach in the Faculty of Science and Engineering and the Faculty of Arts and Sciences. I am examiner for the following courses:
Undergraduate courses
Master’s courses
PhD courses
- Deep Learning for Natural Language Processing
- Natural Language Processing
- Neural Networks and Deep Learning
Page responsible: Marco Kuhlmann
Last updated: 2020-10-09