معرفی
Raquel Fernández is Full Professor of Computational Linguistics and Dialogue Systems at the University of Amsterdam, where she leads the Dialogue Modelling Group at the Institute for Logic, Language & Computation (ILLC). As Vice-Director for Research at ILLC and a Fellow of the ELLIS Society, she bridges computational linguistics, cognitive science, and artificial intelligence through her research on language use in multimodal and conversational contexts.
- PhD in Computational Linguistics from King's College London
- Prior research positions at University of Potsdam and Stanford University's CSLI
Her work explores how cognitive constraints, social interaction, and perception shape language use, with a focus on:
- Visually-grounded language processing
- Multimodal dialogue modeling
- Model uncertainty and calibration
- Language grounding in multimodal data
- Language learning and semantic change
- Dialogue reference resolution
Recent publications analyze multimodal reasoning limitations, cross-lingual knowledge consistency, and uncertainty modeling in dialogue systems. She has received multiple accolades including an ERC Consolidator Grant, NWO VENI/VIDI/Aspasia fellowships, and EMNLP/GenBench awards.
- Outstanding Paper Award (EMNLP 2023)
- Best Data Award (GenBench Workshop 2023)
- ELLIS Society Fellow
- ERC Consolidator Grant #819455 recipient
- NWO VENI/VIDI/Aspasia awardee
As a leader in academic service, she serves on the SIGDAT Executive Committee and chairs multiple conference committees. Her lab develops models for multimodal dialogue, visual storytelling, and grounded language understanding.
