Wietse de Vries

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 16

Top Topics

Processing Times

Computational Model

Top Venues

ACL/IJCNLP (Findings)

Publications

Wietse de Vries, Martijn Wieling, Malvina Nissim
DUMB: A Benchmark for Smart Evaluation of Dutch Models. CoRR (2023)
Wietse de Vries, Martijn Wieling, Malvina Nissim
DUMB: A Dutch Model Benchmark. EMNLP (2023)
Wietse de Vries, Martijn Wieling, Malvina Nissim
Make the Best of Cross-lingual Transfer: Evidence from POS Tagging with over 100 Languages. ACL (1) (2022)
Martijn Bartelds, Wietse de Vries, Faraz Sanal, Caitlin Richter, Mark Liberman, Martijn Wieling
Neural representations for modeling variation in speech. J. Phonetics 92 (2022)
Georgios Tziafas, Eugenie de Saint-Phalle, Wietse de Vries, Clara Egger, Tommaso Caselli
A Multilingual Approach to Identify and Classify Exceptional Measures against COVID-19. NLLP@EMNLP (2021)
Wietse de Vries, Malvina Nissim
As Good as New. How to Successfully Recycle English GPT-2 to Make Models for Other Languages. ACL/IJCNLP (Findings) (2021)
Wietse de Vries, Martijn Bartelds, Malvina Nissim, Martijn Wieling
Adapting Monolingual Models: Data can be Scarce when Language Similarity is High. ACL/IJCNLP (Findings) (2021)
Wietse de Vries, Martijn Bartelds, Malvina Nissim, Martijn Wieling
Adapting Monolingual Models: Data can be Scarce when Language Similarity is High. CoRR (2021)
Wietse de Vries, Andreas van Cranenburgh, Malvina Nissim
What's so special about BERT's layers? A closer look at the NLP pipeline in monolingual and multilingual models. CoRR (2020)
Wietse de Vries, Malvina Nissim
As good as new. How to successfully recycle English GPT-2 to make models for other languages. CoRR (2020)
Wietse de Vries, Andreas van Cranenburgh, Malvina Nissim
What's so special about BERT's layers? A closer look at the NLP pipeline in monolingual and multilingual models. EMNLP (Findings) (2020)
Martijn Bartelds, Wietse de Vries, Faraz Sanal, Caitlin Richter, Mark Liberman, Martijn Wieling
Neural Representations for Modeling Variation in English Speech. CoRR (2020)
Wietse de Vries
Explaining Lexical Processing Times with Cognitively Plausible Computational Models. BNAIC/BENELEARN (2019)
Martijn Bartelds, Wietse de Vries
Improving Cross-domain Authorship Attribution by Combining Lexical and Syntactic Features. CLEF (Working Notes) (2019)
Wietse de Vries, Andreas van Cranenburgh, Arianna Bisazza, Tommaso Caselli, Gertjan van Noord, Malvina Nissim
BERTje: A Dutch BERT Model. CoRR (2019)
Wietse de Vries
Cognitively Plausible Computational Models of Lexical Processing Can Explain Variance in Human Word Predictions and Reading Times. BNAIC/BENELEARN (Selected Papers) (2019)