Lea Frermann

Dr. Lea Frermann is an active researcher in computational linguistics and natural language processing, with a focus on media framing analysis, fairness in AI, and Bayesian modeling of semantic categories. Her work bridges machine learning with social science applications, particularly in political discourse and climate communication contexts.

• PhD in Bayesian models of category acquisition (University of Edinburgh, 2017)
• Key collaborations with University of Melbourne, ACL, EMNLP, and CoNLL communities

Research emphasizes:

• Media framing analysis across cultures
• Explainable AI for bias detection
• Bayesian approaches to language understanding
• Word association modeling for value systems
• Computational methods for political discourse analysis
• Applications in mental health support forums

Recent publications focus on large language models' limitations in hierarchical reasoning, multimodal categorization, and systematic fairness evaluation frameworks. Collaborations show strong connections with researchers like Timothy Baldwin, Trevor Cohn, and Omri Abend.