Pretrained-Language-Model-Enabled Active Learning

• Applicant: Professor Dr. Hinrich Schütze
• Subject Area: Applied Linguistics, Computational Linguistics ; Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing
• Term: since 2022
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 507660870

Lack of annotated training data is a key problem in supervised machine learning approaches to natural language processing. In this project, we want to combine active learning with recent developments in pretrained language models (or foundational models) for more effective training of machine learning models if no or only a few labeled training examples are available initially.

• DFG Programme: Research Grants