About me

I am a fourth-year PhD candidate in NLP under the supervision of prof. Ekaterina Shutova at the Institute for Logic, Language and Computation (ILLC) at the University of Amsterdam (UvA). In 2021 I was awarded a Google PhD fellowship which supports my research and connected me to my co-supervisor at Google, dr. Dan Garrette. Before my PhD I graduated with a bachelor’s and master’s degree in AI from the UvA and worked as a research assistant for prof. Jelle Zuidema at the ILLC.

My main research interests include multilingual NLP, modular deep learning, interpretability and social biases in LMs.

Note: I am submitting my thesis this summer and am looking for job opportunities starting in fall 2024.

Highlighted publications

Visit my Google Scholar Page for a full list of my publications.

Examining Modularity in Multilingual LMs via Language-Specialized Subnetworks.
Rochelle Choenni, Ekaterina Shutova, Dan Garrette.
In Findings of NAACL 2024. [pdf]

How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning.
Rochelle Choenni, Dan Garrette, Ekaterina Shutova.
In Proceedings of EMNLP 2023. [pdf]

Cross-lingual Transfer with Language-specific Subnetworks for Low-resource Dependency Parsing.
Rochelle Choenni, Dan Garrette, Ekaterina Shutova.
Computational Linguistics 1-37, 2023. [pdf]

Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you?
Rochelle Choenni, Ekaterina Shutova, Robert van Rooij.
In Proceedings of EMNLP 2021. [pdf]

Investigating Language Relationships in Multilingual Sentence Encoders through the Lens of Linguistic Typology.
Rochelle Choenni, Ekaterina Shutova.
Computational Linguistics 48(2), 2022. [pdf]