Cluster of Excellence – Machine Learning for Science
General and Computational Linguistics
Prof. Dr. Lea Frermann
W3-Professor of General and Computational Linguistics at the University of Tübingen (Cognition and Communication Lab)
Research Interests
Lea Frermann's research sits at the intersection of natural language processing, machine learning, and cognitive science, studying how human mental structures shape communication. Using large text data sets, she builds computational models to explore these mechanisms.
Her work on mental spaces investigates how people categorize objects, learn new categories, and link concepts through word associations. This shows how the mind organizes and simplifies messy real-world information. Her work on media framing looks at how news outlets influence public interpretation. Because human brains naturally seek coherent structures to make sense of complexity, strategic media and political narratives shape how people form beliefs. This research helps identify misleading online narratives and builds AI systems that reflect human knowledge accurately and equitably.
