About

Katia Shutova

Katia Shutova

Associate Professor

Ekaterina “Katia” Shutova is an Associate Professor at the ILLC, University of Amsterdam, where she leads the “Natural Language Understanding Lab” and the “Natural Language Processing & Digital Humanities” research unit. Katia received her PhD from the University of Cambridge, and subsequently worked as a research scientist at the University of California, Berkeley.

Her work focuses on applying machine learning techniques to linguistic and multimodal (e.g., language + vision) data. Currently she specifically works on multilingual language modeling, on making machine learning models more interpretable, generalizable, and robust.

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Research projects of the researcher

Below you can find a sample of the CERTAIN-related research projects of this researcher.

From Learning to Meaning

In this project we explore whether Language Model’s generic sentences can teach us something about how people express stereotypes.
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Ongoing

Papers by the researcher

Are LLMs classical or nonmonotonic reasoners? Lessons from generics
How robust and reliable can we expect language models to be?

Browse blogs written by the researcher

Discover our researchers’ blogs—icons by each post indicate its themes.

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Using Language Sciences for Social Good