Marco Kuhlmann

Associate Professor of Computer Science

• 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

• 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

• Language and Computers (729G49)
• Language Technology (729G17, 729G86, TDP030)

Master’s courses

• Natural Language Processing (729A27, TDDE09)
• Text Mining (732A92, TDDE16)

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