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Lessons Learned from the Usability Evaluation of a Simulated Patient Dialogue System
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In: ISSN: 0148-5598 ; EISSN: 1573-689X ; Journal of Medical Systems ; https://hal.archives-ouvertes.fr/hal-03452553 ; Journal of Medical Systems, Springer Verlag (Germany), 2021, 45 (7), ⟨10.1007/s10916-021-01737-4⟩ (2021)
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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
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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
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In: ACL-IJCNLP 2021 ; https://hal.archives-ouvertes.fr/hal-03298408 ; ACL-IJCNLP 2021, Aug 2021, Bangkok, Thailand (2021)
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LIMSI_UPV at SemEval-2020 Task 9: Recurrent Convolutional Neural Network for Code-mixed Sentiment Analysis
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In: https://hal.archives-ouvertes.fr/hal-03294371 ; 2021 (2021)
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Where are we in Named Entity Recognition from Speech?
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In: 12th International Conference on Language Resources and Evaluation (LREC) ; https://hal.archives-ouvertes.fr/hal-02475026 ; 12th International Conference on Language Resources and Evaluation (LREC), May 2020, Marseille, France ; https://aclanthology.org/2020.lrec-1.556/ (2020)
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What is best for Spoken Language Understanding: Small but Task-dependant Embeddings or Huge but Out-of-domain Embeddings?
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In: IEEE International Conference on Acoustics, Speech, and Signal Processing ; https://hal.archives-ouvertes.fr/hal-02503694 ; IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2020, Barcelone, Spain (2020)
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The Impact of Specialized Corpora for Word Embeddings in Natural Langage Understanding.
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In: ISSN: 0926-9630 ; EISSN: 1879-8365 ; Studies in Health Technology and Informatics ; https://hal.inria.fr/hal-03476839 ; Studies in Health Technology and Informatics, IOS Press, 2020, 270, pp.432-436. ⟨10.3233/SHTI200197⟩ (2020)
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Evaluation of Embeddings in Medication Domain for Spanish Language Using Joint Natural Language Understanding
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In: IFMBE Proceedings ; https://hal.archives-ouvertes.fr/hal-03294349 ; IFMBE Proceedings, 2020, 8th European Medical and Biological Engineering Conference, 80, pp.510 - 517. ⟨10.1007/978-3-030-64610-3_58⟩ (2020)
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| 10 |
DiaBLa: A Corpus of Bilingual Spontaneous Written Dialogues for Machine Translation
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In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.inria.fr/hal-03021633 ; Language Resources and Evaluation, Springer Verlag, 2020, ⟨10.1007/s10579-020-09514-4⟩ (2020)
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| 11 |
Designing a virtual patient dialogue system based on terminology-rich resources: Challenges and evaluation
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A Metric Learning Approach to Misogyny Categorization
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In: Proceedings of the 5th Workshop on Representation Learning for NLP ; Workshop on Representation Learning for NLP ; https://hal.archives-ouvertes.fr/hal-02989293 ; Workshop on Representation Learning for NLP, Jul 2020, Online, France. pp.89-94, ⟨10.18653/v1/2020.repl4nlp-1.12⟩ (2020)
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Neural Networks approaches focused on French Spoken Language Understanding: application to the MEDIA Evaluation Task
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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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Abstract:
International audience ; In this paper, we present a study on a French Spoken Language Understanding (SLU) task: the MEDIA task. Many works and studies have been proposed for many tasks, but most of them are focused on English language and tasks. The exploration of a richer language like French within the framework of a SLU task implies to recent approaches to handle this difficulty. Since the MEDIA task seems to be one of the most difficult, according to several previous studies, we propose to explore Neural Networks approaches focusing of three aspects: firstly, the Neu-ral Network inputs and more specifically the word embeddings; secondly, we compared French version of BERT against the best setup through different ways; Finally, the comparison against State-of-the-Art approaches. Results show that the word embeddings trained on a small corpus need to be updated during SLU model training. Furthermore, the French BERT fine-tuned approaches outperform the classical Neural Network Architectures and achieves state of the art results. However, the contextual embeddings extracted from one of the French BERT approaches achieve comparable results in comparison to word embedding, when integrated into the proposed neural architecture.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing
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URL: https://hal.archives-ouvertes.fr/hal-03007482/file/Coling2020%283%29.pdf
https://hal.archives-ouvertes.fr/hal-03007482
https://hal.archives-ouvertes.fr/hal-03007482/document
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| 14 |
LIMSI_UPV at SemEval-2020 Task 9: Recurrent Convolutional Neural Network for Code-mixed Sentiment Analysis ...
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Exploiting languages proximity for part-of-speech tagging of three French regional languages
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In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-02358020 ; Language Resources and Evaluation, Springer Verlag, 2019, pp.1-26 (2019)
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Demonette2 \textendash A large scale derivational database for French: first results ; Demonette2 - Une base de données dérivationnelle du français à grande échelle : premiers résultats
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In: Conférence sur le Traitement Automatique des Langues Naturelles (TALN) - PFIA ; https://hal.archives-ouvertes.fr/hal-02567772 ; Conférence sur le Traitement Automatique des Langues Naturelles (TALN) - PFIA, Jul 2019, Toulouse, France. pp.233-244 (2019)
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Apprentissage de plongements de mots dynamiques avec régularisation de la dérive
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In: Actes de la Conférence sur le Traitement Automatique des Langues Naturelles (TALN) PFIA 2019. Volume I : Articles longs ; 26e Conférence sur le Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-02566346 ; 26e Conférence sur le Traitement Automatique des Langues Naturelles, 2019, Toulouse, France. pp.13-26 (2019)
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| 19 |
PolylexFLE : une base de données d'expressions polylexicales pour le FLE
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In: Actes de la Conférence sur le Traitement Automatique des Langues Naturelles (TALN) PFIA 2019. Volume I : Articles longs ; 26e Conférence sur le Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-02566348 ; 26e Conférence sur le Traitement Automatique des Langues Naturelles, 2019, Toulouse, France. pp.143-156 (2019)
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Exploration de l'apprentissage par transfert pour l'analyse de textes des réseaux sociaux
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In: 26e Conférence sur le Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-02567773 ; 26e Conférence sur le Traitement Automatique des Langues Naturelles, 2019, Toulouse, France. pp.293-302 (2019)
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