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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 6 of 6 1 Adapting Monolingual Models: Data can be Scarce when Language Similarity is High ... de Vries, Wietse; Bartelds, Martijn; Nissim, Malvina. - : arXiv, 2021 BASE Show details 2 Adapting Monolingual Models: Data can be Scarce when Language Similarity is High ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bartelds, Martijn; de Vries, Wietse. - : Underline Science Inc., 2021 BASE Show details 3 As Good as New. How to Successfully Recycle English GPT-2 to Make Models for Other Languages ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; de Vries, Wietse; Nissim, Malvina. - : Underline Science Inc., 2021 BASE Show details 4 What's so special about BERT's layers? A closer look at the NLP pipeline in monolingual and multilingual models ... de Vries, Wietse; van Cranenburgh, Andreas; Nissim, Malvina. - : arXiv, 2020 Abstract: Peeking into the inner workings of BERT has shown that its layers resemble the classical NLP pipeline, with progressively more complex tasks being concentrated in later layers. To investigate to what extent these results also hold for a language other than English, we probe a Dutch BERT-based model and the multilingual BERT model for Dutch NLP tasks. In addition, through a deeper analysis of part-of-speech tagging, we show that also within a given task, information is spread over different parts of the network and the pipeline might not be as neat as it seems. Each layer has different specialisations, so that it may be more useful to combine information from different layers, instead of selecting a single one based on the best overall performance. ... : Accepted at Findings of EMNLP 2020 (camera-ready) ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2004.06499 https://arxiv.org/abs/2004.06499 BASE Hide details 5 As Good as New. How to Successfully Recycle English GPT-2 to Make Models for Other Languages ... de Vries, Wietse; Nissim, Malvina. - : arXiv, 2020 BASE Show details 6 BERTje: A Dutch BERT Model ... de Vries, Wietse; van Cranenburgh, Andreas; Bisazza, Arianna. - : arXiv, 2019 BASE Show details

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