Dieuwke Hupkes
RESEARCH SCIENTIST | PARIS, FRANCE
Dieuwke's undergrad topic of study was (astro)physics, after which she transitioned to AI and natural language processing in during my MSc in Logic. Dieuwke holds a PhD in computational linguistic. In her research, she studies neural models of natural language processing, with a specific focus on interpretability, compositionality and the extent to which they can represent grammar and hierarchy.
Research Areas
Dieuwke's Work
Dieuwke's Publications
November 01, 2023
NLP
The validity of evaluation results: assessing concurrence across compositionality benchmarks
Kaiser Sun, Adina Williams, Dieuwke Hupkes
November 01, 2023
December 01, 2022
NLP
CORE MACHINE LEARNING
The Curious Case of Absolute Position Embeddings
Koustuv Sinha, Adina Williams, Dieuwke Hupkes, Joelle Pineau, Amirhossein Kazemnejad, Siva Reddy
December 01, 2022
September 23, 2021
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little
Koustuv Sinha, Adina Williams, Dieuwke Hupkes, Douwe Kiela, Joelle Pineau, Robin Jia
September 23, 2021
September 19, 2021
Generalising to German Plural Noun Classes, from the Perspective of a Recurrent Neural Network
Dieuwke Hupkes, Adina Williams, Anna Langedijk, Kate McCurdy, Verna Dankers
September 19, 2021
January 28, 2021
January 28, 2021
January 28, 2021
January 28, 2021
Foundational models
Latest news
Foundational models
Meta © 2024