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.

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

Language modelling as a multi-task problem

Dieuwke Hupkes, Elia Bruni, Jaap Jumelet, Lucas Weber

January 28, 2021

January 28, 2021

Co-evolution of language and agents in referential games

Dieuwke Hupkes, Elia Bruni, Gautier Dagan

January 28, 2021