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Code-switched inspired losses for generic spoken dialog representations
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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
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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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| 4 |
Improving Multimodal fusion via Mutual Dependency Maximisation ...
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Improving Multimodal fusion via Mutual Dependency Maximisation ...
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Compositional Languages Emerge in a Neural Iterated Learning Model
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In: 8th International Conference on Learning Representations ; https://hal.archives-ouvertes.fr/hal-02914840 ; 8th International Conference on Learning Representations, Apr 2020, Addis Ababa, Ethiopia (2020)
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Abstract:
International audience ; The principle of compositionality, which enables natural language to represent complex concepts via a structured combination of simpler ones, allows us to convey an open-ended set of messages using a limited vocabulary. If compositionality is indeed a natural property of language, we may expect it to appear in communication protocols that are created by neural agents via grounded language learning. Inspired by the iterated learning framework, which simulates the process of language evolution, we propose an effective neural iterated learning algorithm that, when applied to interacting neural agents, facilitates the emergence of a more structured type of language. Indeed, these languages provide specific advantages to neural agents during training, which translates as a larger posterior probability, which is then incrementally amplified via the iterated learning procedure. Our experiments confirm our analysis, and also demonstrate that the emerged languages largely improve the generalization of the neural agent communication.
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Keyword:
[INFO]Computer Science [cs]; [STAT]Statistics [stat]
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URL: https://hal.archives-ouvertes.fr/hal-02914840/document
https://hal.archives-ouvertes.fr/hal-02914840
https://hal.archives-ouvertes.fr/hal-02914840/file/compositional_languages_emerge.pdf
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The importance of fillers for text representations of speech transcripts
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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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Hierarchical Pre-training for Sequence Labelling in Spoken Dialog
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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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Learning with Noise-Contrastive Estimation: Easing training by learning to scale
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In: 27th International Conference on Computational Linguistics (COLING 2018) ; https://hal.archives-ouvertes.fr/hal-02912385 ; 27th International Conference on Computational Linguistics (COLING 2018), Aug 2018, Santa Fe, NM, United States. pp.3090-3101 ; http://coling2018.org/ (2018)
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Algorithmes à base d'échantillonage pour l'entraînement de modèles de langue neuronaux
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In: Actes de la Conférence TALN. Volume 1 - Articles longs, articles courts de TALN ; 25e conférence sur le Traitement Automatique des Langues Naturelles (TALN) ; https://hal.archives-ouvertes.fr/hal-02912471 ; 25e conférence sur le Traitement Automatique des Langues Naturelles (TALN), May 2018, Rennes, France (2018)
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Adaptation au domaine pour l'analyse morpho-syntaxique
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In: Actes de TALN 2017 ; Conférence sur le Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-01620900 ; Conférence sur le Traitement Automatique des Langues Naturelles, Jun 2017, Orléans, France (2017)
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LIMSI@WMT'17
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In: Proceedings of the Conference on Machine Translation (WMT), ; Conference on Machine Translation ; https://hal.archives-ouvertes.fr/hal-01619897 ; Conference on Machine Translation, Association for Computational Linguistics, Jan 2017, Copenhagen, Denmark. pp.257 - 264 (2017)
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An experimental analysis of Noise-Contrastive Estimation: the noise distribution matters
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In: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers ; 15th Conference of the European Chapter of the Association for Computational Linguistics: ; https://hal.archives-ouvertes.fr/hal-02912384 ; 15th Conference of the European Chapter of the Association for Computational Linguistics:, Apr 2017, Valencia, Spain. pp.15 - 20 (2017)
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Character and Subword-Based Word Representation for Neural Language Modeling Prediction
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In: Proceedings of the First Workshop on Subword and Character Level Models in NLP ; https://hal.archives-ouvertes.fr/hal-02912377 ; Proceedings of the First Workshop on Subword and Character Level Models in NLP, Sep 2017, Copenhagen, Denmark. pp.1-13, ⟨10.18653/v1/W17-4101⟩ (2017)
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Non-lexical neural architecture for fine-grained POS Tagging
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In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-02912379 ; Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, Sep 2015, Lisbon, Portugal. pp.232-237, ⟨10.18653/v1/D15-1025⟩ (2015)
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LIMSI$@$WMT'15 : Translation Task
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In: Proceedings of the Tenth Workshop on Statistical Machine Translation ; https://hal.archives-ouvertes.fr/hal-02912383 ; Proceedings of the Tenth Workshop on Statistical Machine Translation, Sep 2015, Lisbon, Portugal. pp.145-151, ⟨10.18653/v1/W15-3016⟩ (2015)
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