Dagmar Gromann

Roles & Affiliations: Dagmar Gromann is an Associate Professor for Terminology Science and Translation Technology at the University of Vienna's Centre for Translation Studies. Previously, she served as a Research Associate at TU Dresden's International Center for Computational Logic (ICCL) and held postdoctoral roles in Barcelona within the ESSENCE Marie Curie Training Network. She completed her PhD at the University of Vienna under Prof. Gerhard Budin, focusing on ontology-terminology integration.

Education:

• PhD in Computer Science and Linguistics, University of Vienna (2015)
• Postdoctoral Research, Artificial Intelligence Research Institute (IIIA), Barcelona (2015–2017)
• Research Assistant, Vienna University of Economics and Business (until 2015)

Research Interests: Her work bridges computational linguistics, cognitive science, and terminology science. Key areas include:

• Ontology learning and neurosymbolic AI
• Image schemas in natural language processing
• Machine translation ethics and genderfair language
• Multilingual knowledge extraction and linked data
• Terminology modeling and semantic web applications

Publications & Awards: Over 60 peer-reviewed papers in journals such as Future Generation Computer Systems and Journal of Lexicography. Notable awards include the Best Paper Award at MuC 2021 (GenderFairMT team) and the ISWC 2019 Best PC Award. Her research has pioneered methods for extracting embodied cognition concepts like image schemas from text.

Grants & Leadership: PI of the European Language Grid (ELG) pilot project Text2TCS, member of the COST Action NexusLinguarum, and organizer of conferences like LDK 2023. Editorial board roles include the Semantic Web Journal and Applied Ontology.

Labs & Teams: Former member of TU Dresden's ICCL and currently part of the University of Vienna’s translation technology initiatives. Active in interdisciplinary collaborations spanning computational linguistics, AI ethics, and multilingual systems.