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

• 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:

• Computers in Linguistics (729G09)
• Introduction to Language Technology (TDDE17)
• Language Technology (TDP030, 729G17)
• Mathematics (TDP015)
• Natural Language Processing (TDDE09, 729A27)
• Text Mining (TDDE16, 732A92)

Page responsible: Marco Kuhlmann
Last updated: 2018-09-04