Marco Kuhlmann

Associate Professor of Computer Science

• Natural Language Processing Lab
• Machine Learning Research 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

• Adaptive Algorithms for Semantic Dependency Parsing (Google Faculty Research Award, 2016)
• Semantic Parsing for Text Analytics (CENIIT, 2015–)
• Accurate and Efficient Non-Projective Dependency Parsing (VR, 2008–2010)

Doctoral Students

• Riley Capshaw (co-supervisor)
• Jenny Kunz
• Robin Kurtz
• Fredrik Sand (co-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:

• Language and Computers (729G49)
• Language Technology (729G17, 729G34, TDP030)
• Natural Language Processing (729A27, TDDE09, PhD course)
• Neural Networks and Deep Learning (6FIDA02)
• Text Mining (732A92, TDDE16)

Page responsible: Marco Kuhlmann
Last updated: 2019-06-19