Team

Maria Druselmann is conducting doctoral research in computational linguistics, focusing on identifying the most effective language modeling techniques for generating embedding-based representations of multiword terms. These representations are intended to support the integration of complex terms into domain-specific taxonomies. This research lays the foundation for the development of advanced taxonomy expansion systems that efficiently process multiword terms. Such systems have applications in semantic search, domain-specific AI assistants, and automated knowledge base construction — all increasingly important in both academia and industry. The work involves large-scale experiments with various state-of-the-art language models and is based on the EEMWT dataset, a curated collection of semantically related multiword terms developed within the scope of this project.