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On the cross-lingual transferability of multilingual prototypical models across NLU tasks ; Sur la transférabilité interlingue des modèles prototypiques multilingues à travers les tâches NLU
In: ACL workshop on Meta Learning and Its Applications to Natural Language Processing (MetaNLP) ; https://hal.archives-ouvertes.fr/hal-03298026 ; ACL workshop on Meta Learning and Its Applications to Natural Language Processing (MetaNLP), 2021, Bangkok, Thailand ; https://meta-nlp-2021.github.io (2021)
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On the cross-lingual transferability of multilingual prototypical models across NLU tasks ; Sur la transférabilité interlinguistique des modèles prototypiques multilingues à travers les tâches NLU
In: ACL-IJCNLP 2021 ; https://hal.archives-ouvertes.fr/hal-03298408 ; ACL-IJCNLP 2021, Aug 2021, Bangkok, Thailand (2021)
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Neural Networks approaches focused on French Spoken Language Understanding: application to the MEDIA Evaluation Task
In: In Proceedings of The 28th International Conference on Computational Linguistics (COLING’2020), 2020 ; https://hal.archives-ouvertes.fr/hal-03007482 ; In Proceedings of The 28th International Conference on Computational Linguistics (COLING’2020), 2020, Dec 2020, Barcelona (online), Spain (2020)
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Using Whole Document Context in Neural Machine Translation
In: 16th International Workshop on Spoken Language Translation 2019 ; https://hal.archives-ouvertes.fr/hal-02316397 ; 16th International Workshop on Spoken Language Translation 2019, Nov 2019, Hong-Kong, China (2019)
Abstract: International audience ; In Machine Translation, considering the document as a whole can help to resolve ambiguities and inconsistencies. In this paper, we propose a simple yet promising approach to add contextual information in Neural Machine Translation. We present a method to add source context that capture the whole document with accurate boundaries, taking every word into account. We provide this additional information to a Transformer model and study the impact of our method on three language pairs. The proposed approach obtains promising results in the English-German, English-French and French-English document-level translation tasks. We observe interesting cross-sentential behaviors where the model learns to use document-level information to improve translation coherence.
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing
URL: https://hal.archives-ouvertes.fr/hal-02316397/document
https://hal.archives-ouvertes.fr/hal-02316397/file/Mace_IWSLT2019.pdf
https://hal.archives-ouvertes.fr/hal-02316397
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Image search using multilingual texts: a cross-modal learning approach between image and text
In: https://hal.archives-ouvertes.fr/hal-02077556 ; [Research Report] qwant research. 2019 (2019)
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Representation and parsing of multiword expressions: Current trends
Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019
In: Language Science Press; (2019)
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Representation and parsing of multiword expressions: Current trends
Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019
In: Language Science Press; (2019)
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Representation and parsing of multiword expressions: Current trends
Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019
In: Language Science Press; (2019)
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9
Representation and parsing of multiword expressions: Current trends
Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019
In: Language Science Press; (2019)
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10
Representation and parsing of multiword expressions: Current trends
Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019
In: Language Science Press; (2019)
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11
Representation and parsing of multiword expressions: Current trends
Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019
In: Language Science Press; (2019)
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12
Representation and parsing of multiword expressions: Current trends
Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019
In: Language Science Press; (2019)
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13
Representation and parsing of multiword expressions: Current trends
Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019
In: Language Science Press; (2019)
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14
Representation and parsing of multiword expressions: Current trends
Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019
In: Language Science Press; (2019)
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Representation and parsing of multiword expressions: Current trends
Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019
In: Language Science Press; (2019)
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16
Representation and parsing of multiword expressions: Current trends
Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019
In: Language Science Press; (2019)
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17
Representation and parsing of multiword expressions: Current trends
Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019
In: Language Science Press; (2019)
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Representation and parsing of multiword expressions: Current trends
Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019
In: Language Science Press; (2019)
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19
Representation and parsing of multiword expressions: Current trends
Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019
In: Language Science Press; (2019)
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Representation and parsing of multiword expressions: Current trends
Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019
In: Language Science Press; (2019)
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