Regular biography
Dr Lea Frermann is a Senior Lecturer and ARC DECRA Fellow at The University of Melbourne's Department of CS. Her contact details include an email address of lea.frermann@unimelb.edu.au and a profile page accessible at https://findanexpert.unimelb.edu.au/profile/835002. Specific research interests and existing biographical information are not provided in the available data.
Scholar-generated biography
Lea Frermann is a computational linguist at the University of Melbourne, specializing in computational cognitive modeling, natural language processing (NLP) for narratives, and bias and fairness in AI. Her research explores how computational models can capture meaning change over time, document structure for summarization, and fair representation in machine learning. She develops frameworks for assessing and improving fairness, such as FairLib, and investigates narrative structures in media and political discourse. Her work also includes Bayesian modeling for unsupervised learning and contrastive learning for fair representations. Frermann’s research bridges linguistics, cognitive science, and machine learning to address challenges in NLP and fairness.