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2020 – today
- 2023
[c9]Wietse de Vries, Martijn Wieling, Malvina Nissim:
DUMB: A Dutch Model Benchmark. EMNLP 2023: 7221-7241- [i6]Wietse de Vries, Martijn Wieling, Malvina Nissim:
DUMB: A Benchmark for Smart Evaluation of Dutch Models. CoRR abs/2305.13026 (2023) - 2022
- [j1]Martijn Bartelds
, Wietse de Vries, Faraz Sanal, Caitlin Richter, Mark Liberman, Martijn Wieling:
Neural representations for modeling variation in speech. J. Phonetics 92: 101137 (2022) - [c8]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: 7676-7685 - 2021
- [c7]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: 836-846 - [c6]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: 4901-4907 - [c5]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: 46-62 - [i5]Wietse de Vries, Martijn Bartelds, Malvina Nissim, Martijn Wieling:
Adapting Monolingual Models: Data can be Scarce when Language Similarity is High. CoRR abs/2105.02855 (2021) - 2020
- [c4]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: 4339-4350 - [i4]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 abs/2004.06499 (2020) - [i3]Martijn Bartelds, Wietse de Vries, Faraz Sanal, Caitlin Richter, Mark Liberman, Martijn Wieling:
Neural Representations for Modeling Variation in English Speech. CoRR abs/2011.12649 (2020) - [i2]Wietse de Vries, Malvina Nissim:
As good as new. How to successfully recycle English GPT-2 to make models for other languages. CoRR abs/2012.05628 (2020)
2010 – 2019
- 2019
- [c3]Wietse de Vries:
Explaining Lexical Processing Times with Cognitively Plausible Computational Models. BNAIC/BENELEARN 2019 - [c2]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: 51-69 - [c1]Martijn Bartelds, Wietse de Vries:
Improving Cross-domain Authorship Attribution by Combining Lexical and Syntactic Features. CLEF (Working Notes) 2019 - [i1]Wietse de Vries, Andreas van Cranenburgh, Arianna Bisazza, Tommaso Caselli, Gertjan van Noord, Malvina Nissim:
BERTje: A Dutch BERT Model. CoRR abs/1912.09582 (2019)
Coauthor Index
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