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1
Assessing the Syntactic Capabilities of Transformer-based Multilingual Language Models ...
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2
Assessing the Syntactic Capabilities of Transformer-based Multilingual Language Models ...
Abstract: Multilingual Transformer-based language models, usually pretrained on more than 100 languages, have been shown to achieve outstanding results in a wide range of cross-lingual transfer tasks. However, it remains unknown whether the optimization for different languages conditions the capacity of the models to generalize over syntactic structures, and how languages with syntactic phenomena of different complexity are affected. In this work, we explore the syntactic generalization capabilities of the monolingual and multilingual versions of BERT and RoBERTa. More specifically, we evaluate the syntactic generalization potential of the models on English and Spanish tests, comparing the syntactic abilities of monolingual and multilingual models on the same language (English), and of multilingual models on two different languages (English and Spanish). For English, we use the available SyntaxGym test suite; for Spanish, we introduce SyntaxGymES, a novel ensemble of targeted syntactic tests in Spanish, designed to ... : To be published in Findings of ACL 2021 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2105.04688
https://dx.doi.org/10.48550/arxiv.2105.04688
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3
The Third Multilingual Surface Realisation Shared Task (SR'20): Overview and Evaluation Results ...
Mille, Simon; Belz, Anya; Bohnet, Bernd. - : Zenodo, 2020
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4
The Third Multilingual Surface Realisation Shared Task (SR'20): Overview and Evaluation Results ...
Mille, Simon; Belz, Anya; Bohnet, Bernd. - : Zenodo, 2020
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5
The second multilingual surface realisation shared task (SR'19): Overview and evaluation results
In: Mille, Simon orcid:0000-0002-8852-2764 , Anja, Belz, Bohnet, Bernd, Graham, Yvette and Wanner, Leo orcid:0000-0002-9446-3748 (2019) The second multilingual surface realisation shared task (SR'19): Overview and evaluation results. In: 2nd Workshop on Multilingual Surface Realisation (MSR 2019), 3 Nov 2019, Hong Kong, China. (2019)
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6
Multilingual Surface Realization Using Universal Dependency Trees
Belz, Anja; Bohnet, Bernd; Wanner, Leo. - : Association for Computational Linguistics, 2017
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7
Deep stochastic sentence generation : resources and strategies
Mille, Simon. - : Universitat Pompeu Fabra, 2014
In: TDX (Tesis Doctorals en Xarxa) (2014)
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8
Towards a rich dependency annotation of Spanish corpora ; Hacia una anotación de dependencias enriquecida de corpus españoles
Mille, Simon; Burga, Alicia; Vidal Méndez, Vanesa. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2009
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9
Using genre-specific features for patent summaries
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10
Visualizing deep-syntactic parser output
Soler Company, Juan; Ballesteros, Miguel; Bohnet, Bernd. - : ACL (Association for Computational Linguistics)
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11
A Demo of FORGe: the Pompeu Fabra open rule-based generator
Mille, Simon; Wanner, Leo. - : ACL (Association for Computational Linguistics)
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12
Perspective-oriented generation of football match summaries: Old tasks, new challenges
Bouayad-Agha, Nadjet; Casamayor, Gerard; Mille, Simon. - : ACM Association for Computer Machinery
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13
Data-driven sentence generation with non-isomorphic trees
Ballesteros, Miguel; Bohnet, Bernd; Mille, Simon. - : ACL (Association for Computational Linguistics)
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14
UPF at EPE 2017: transduction-based deep analysis
Mille, Simon; Latorre, Iván; Wanner, Leo. - : ACL (Association for Computational Linguistics)
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15
FORGe at SemEval-2017 Task 9: deep sentence generation based on a sequence of graph transducers
Burga Díaz, Alicia; Carlini, Roberto; Wanner, Leo. - : ACL (Association for Computational Linguistics)
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16
Design of knowledge-based agent as a social companion
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17
KRISTINA: a knowledge-based virtual conversation agent
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18
Towards a multimedia knowledge-based agent with social competence and human interaction capabilities
Wanner, Leo; Blat, Josep; Dasiopoulou, Stamatia. - : ACM Association for Computer Machinery
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