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Marco Kuhlmann is a Professor at Linköping University, where he leads the Natural Language Processing Group. His research focuses on various aspects of natural language processing (NLP), particularly the development of new algorithms for natural language understanding. Kuhlmann combines concepts from theoretical computer science and machine learning to address practical challenges in human language technology and text mining. He has contributed significantly to the understanding of semantic parsing and has developed fundamental algorithms that are widely used in the field. Among his recent projects, he collaborates with Chalmers University of Technology and Recorded Future to advance the interpretation and integration of contextualized language representations. Beyond research, Kuhlmann is passionate about teaching, believing in making complex subjects accessible and motivating students in their learning. He has taught courses related to NLP and machine learning across several academic programs at the University, is involved in community engagement through events like the European Researcher's Night, and actively contributes to discussions on the societal implications of advancements in AI and language models.
Requirements are standardized across the Faculty of Science and Engineering (Institute of Technology) for international Master's programs.