Marco Kuhlmann

Professor of Computer Science, Deputy Head of Department

• Natural Language Processing Group
• Machine Learning Group

Contact information

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.

Publications

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, 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)
• Ehsan Doostmohammadi (principal supervisor)
• Lovisa Hagström (assistant supervisor)
• Oskar Holmström (principal supervisor)
• Jenny Kunz (principal supervisor)
• Tobias Norlund (assistant supervisor)
• Emanuel Sanchez Aimar (assistant supervisor)

Teaching

Bacher’s and Master’s courses

• AI för naturligt språk (ETE335; in Swedish)
• Language Technology (729G17, TDP030)
• Natural Language Processing (729A27, 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)

Page responsible: Marco Kuhlmann
Last updated: 2021-11-13