Wietse de Vries

According to our database, Wietse de Vries authored at least 13 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

DUMB: A Benchmark for Smart Evaluation of Dutch Models.

Wietse de Vries, Martijn Wieling, Malvina Nissim

CoRR, 2023

DUMB: A Dutch Model Benchmark.

Wietse de Vries, Martijn Wieling, Malvina Nissim

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Neural representations for modeling variation in speech.

Martijn Bartelds, Wietse de Vries, Faraz Sanal, Caitlin Richter, Mark Y. Liberman, Martijn Wieling

J. Phonetics, 2022

Make the Best of Cross-lingual Transfer: Evidence from POS Tagging with over 100 Languages.

Wietse de Vries, Martijn Wieling, Malvina Nissim

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

As Good as New. How to Successfully Recycle English GPT-2 to Make Models for Other Languages.

Wietse de Vries, Malvina Nissim

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Adapting Monolingual Models: Data can be Scarce when Language Similarity is High.

Wietse de Vries, Martijn Bartelds, Malvina Nissim, Martijn Wieling

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

A Multilingual Approach to Identify and Classify Exceptional Measures against COVID-19.

Georgios Tziafas, Eugenie de Saint-Phalle, Wietse de Vries, Clara Egger, Tommaso Caselli

Proceedings of the Natural Legal Language Processing Workshop 2021, 2021

2020

Neural Representations for Modeling Variation in English Speech.

Martijn Bartelds, Wietse de Vries, Faraz Sanal, Caitlin Richter, Mark Y. Liberman, Martijn Wieling

CoRR, 2020

What's so special about BERT's layers? A closer look at the NLP pipeline in monolingual and multilingual models.

Wietse de Vries, Andreas van Cranenburgh, Malvina Nissim

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

BERTje: A Dutch BERT Model.

Wietse de Vries, Andreas van Cranenburgh, Arianna Bisazza, Tommaso Caselli, Gertjan van Noord, Malvina Nissim

CoRR, 2019

Improving Cross-domain Authorship Attribution by Combining Lexical and Syntactic Features.

Martijn Bartelds, Wietse de Vries

Proceedings of the Working Notes of CLEF 2019, 2019

Cognitively Plausible Computational Models of Lexical Processing Can Explain Variance in Human Word Predictions and Reading Times.

Wietse de Vries

Proceedings of the Artificial Intelligence and Machine Learning, 2019

Explaining Lexical Processing Times with Cognitively Plausible Computational Models.

Wietse de Vries

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019