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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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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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Designing a virtual patient dialogue system based on terminology-rich resources: Challenges and evaluation
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Abstract:
This article has been published in a revised form in Natural Language Engineering [http://doi.org/10.1017/S1351324919000329]. ; Virtual patient software allows health professionals to practise their skills by interacting with tools simulating clinical scenarios. A natural language dialogue system can provide natural interaction for medical history-taking. However, the large number of concepts and terms in the medical domain makes the creation of such a system a demanding task. We designed a dialogue system that stands out from current research by its ability to handle a wide variety of medical specialties and clinical cases. To address the task, we designed a patient record model, a knowledge model for the task and a termino-ontological model that hosts structured thesauri with linguistic, terminological and ontological knowledge. We used a frame- and rule-based approach and terminology-rich resources to handle the medical dialogue. This work focuses on the termino-ontological model, the challenges involved and how the system manages resources for the French language. We adopted a comprehensive approach to collect terms and ontological knowledge, and dictionaries of affixes, synonyms and derivational variants. Resources include domain lists containing over 161,000 terms, and dictionaries with over 959,000 word/concept entries. We assessed our approach by having 71 participants (39medical doctors and 32 non-medical evaluators) interact with the system and use 35 cases from 18 specialities. We conducted a quantitative evaluation of all components by analysing interaction logs (11,834 turns). Natural language understanding achieved an F-measure of 95.8%. Dialogue management provided on average 74.3 (±9.5)% of correct answers. We performed a qualitative evaluation by collecting 171 five-point Likert scale questionnaires. All evaluated aspects obtained mean scores above the Likert mid-scale point. We analysed the vocabulary coverage with regard to unseen cases: the system covered 97.8% of their terms. Evaluations showed that the system achieved high vocabulary coverage on unseen cases and was assessed as relevant for the task. ; This work was funded by BPI through the FUI Project PatientGenesys (F1310002-P) and by SATT Paris Saclay through project PVDial.
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Keyword:
Dialogue system; Language resources; Terminology; Virtual patient
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URL: https://doi.org/10.1017/S1351324919000329
http://hdl.handle.net/10261/236639
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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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| 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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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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