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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 Page: 1 2 Hits 1 – 20 of 37 1 Universal Dependencies 2.9 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 2 Universal Dependencies 2.8.1 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 3 Universal Dependencies 2.8 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 4 Semantic Search as Extractive Paraphrase Span Detection ... Kanerva, Jenna; Kitti, Hanna; Chang, Li-Hsin. - : arXiv, 2021 BASE Show details 5 Deep learning for sentence clustering in essay grading support ... Chang, Li-Hsin; Rastas, Iiro; Pyysalo, Sampo. - : arXiv, 2021 BASE Show details 6 Morpho-syntactically annotated corpora provided for the PARSEME Shared Task on Semi-Supervised Identification of Verbal Multiword Expressions (edition 1.2) Guillaume, Bruno; Ramisch, Carlos; Waszczuk, Jakub. - : PARSEME, 2020 BASE Show details 7 Universal Dependencies 2.7 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 8 Universal Dependencies 2.6 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 9 Towards Fully Bilingual Deep Language Modeling ... Chang, Li-Hsin; Pyysalo, Sampo; Kanerva, Jenna; Ginter, Filip. - : arXiv, 2020 Abstract: Language models based on deep neural networks have facilitated great advances in natural language processing and understanding tasks in recent years. While models covering a large number of languages have been introduced, their multilinguality has come at a cost in terms of monolingual performance, and the best-performing models at most tasks not involving cross-lingual transfer remain monolingual. In this paper, we consider the question of whether it is possible to pre-train a bilingual model for two remotely related languages without compromising performance at either language. We collect pre-training data, create a Finnish-English bilingual BERT model and evaluate its performance on datasets used to evaluate the corresponding monolingual models. Our bilingual model performs on par with Google's original English BERT on GLUE and nearly matches the performance of monolingual Finnish BERT on a range of Finnish NLP tasks, clearly outperforming multilingual BERT. We find that when the model vocabulary size is ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2010.11639 https://arxiv.org/abs/2010.11639 BASE Hide details 10 WikiBERT models: deep transfer learning for many languages ... Pyysalo, Sampo; Kanerva, Jenna; Virtanen, Antti. - : arXiv, 2020 BASE Show details 11 Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection ... Nivre, Joakim; de Marneffe, Marie-Catherine; Ginter, Filip. - : arXiv, 2020 BASE Show details 12 Dependency parsing of biomedical text with BERT Kanerva, Jenna; Ginter, Filip; Pyysalo, Sampo In: BMC Bioinformatics (2020) BASE Show details 13 Universal Dependencies 2.5 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019 BASE Show details 14 Universal Dependencies 2.4 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2019 BASE Show details 15 Is Multilingual BERT Fluent in Language Generation? ... Rönnqvist, Samuel; Kanerva, Jenna; Salakoski, Tapio. - : arXiv, 2019 BASE Show details 16 Multilingual is not enough: BERT for Finnish ... Virtanen, Antti; Kanerva, Jenna; Ilo, Rami. - : arXiv, 2019 BASE Show details 17 Universal Dependencies 2.2 Nivre, Joakim; Abrams, Mitchell; Agić, Željko... In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018) BASE Show details 18 Universal Dependencies 2.3 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018 BASE Show details 19 Universal Dependencies 2.2 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018 BASE Show details 20 Artificial Treebank with Ellipsis Droganova, Kira; Zeman, Daniel; Kanerva, Jenna. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2018 BASE Show details Page: 1 2

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