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1
Code-switched inspired losses for generic spoken dialog representations
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ; 2021 Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-03574595 ; 2021 Conference on Empirical Methods in Natural Language Processing, Nov 2021, Punta Cana, Dominican Republic (2021)
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Improving Multimodal fusion via Mutual Dependency Maximisation
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-03574609 ; Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Nov 2021, Online and Punta Cana, France. pp.231-245, ⟨10.18653/v1/2021.emnlp-main.21⟩ (2021)
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Code-switched inspired losses for generic spoken dialog representations ...
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Automatic Text Evaluation through the Lens of Wasserstein Barycenters ...
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5
Improving Multimodal fusion via Mutual Dependency Maximisation ...
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Improving Multimodal fusion via Mutual Dependency Maximisation ...
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7
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations ...
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8
The importance of fillers for text representations of speech transcripts
In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) ; https://hal.archives-ouvertes.fr/hal-03134854 ; Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Association for Computational Linguistics, Nov 2020, Online, Dominican Republic. pp.7985-7993, ⟨10.18653/v1/2020.emnlp-main.641⟩ (2020)
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9
Hierarchical Pre-training for Sequence Labelling in Spoken Dialog
In: Findings of the Association for Computational Linguistics: EMNLP 2020 ; https://hal.archives-ouvertes.fr/hal-03134851 ; Findings of the Association for Computational Linguistics: EMNLP 2020, Nov 2020, Online, France. pp.2636-2648, ⟨10.18653/v1/2020.findings-emnlp.239⟩ (2020)
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