Marie‐Francine Moens

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About

Marie‐Francine Moens is a leading figure in artificial intelligence and natural language processing, with a distinguished focus on multimodal understanding and spatial reasoning. Her pioneering work bridges language and vision, particularly through the development of spatial role labeling—a framework that extracts and formalizes spatial relationships from text and images. Moens co-organized the CLEF 2017 Multimodal Spatial Role Labeling (mSpRL) task, which catalyzed research in grounding spatial language in visual contexts, garnering 21 citations for its foundational overview. Her accompanying annotation scheme, cited 18 times, provides a rigorous, structured methodology for labeling spatial roles like trajectors and landmarks, enabling more precise AI interpretation of human communication. Beyond these contributions, Moens has advanced information extraction, legal text analytics, and machine learning for low-resource languages, earning her recognition as a professor at KU Leuven and a recipient of prestigious grants. Her work has profoundly impacted how machines understand the interplay between language and the physical world, inspiring a generation of researchers in multimodal AI.