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European Language Equality - Report on the French Language
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In: https://hal.archives-ouvertes.fr/hal-03637776 ; [Research Report] CNRS - LISN. 2022 (2022)
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A computationally-based approach to the understanding of child's phonological development
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In: 50th Poznan Linguistic Meeting http://wa.amu.edu.pl/plm/2020/files/posters/Briglia_PLM2021_Poster.pdf ; https://hal.archives-ouvertes.fr/hal-03445409 ; 50th Poznan Linguistic Meeting http://wa.amu.edu.pl/plm/2020/files/posters/Briglia_PLM2021_Poster.pdf, Sep 2021, Poznan, Poland (2021)
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Model-based clustering and first language acquisition ; Clustering basé sur des modèles et acquisition du langage
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In: Book of Short Papers of the 5th international workshop onModels and Learning for Clustering and Classification MBC2 2020, Catania, Italy ; https://hal.archives-ouvertes.fr/hal-03444191 ; Book of Short Papers of the 5th international workshop on Models and Learning for Clustering and Classification MBC2 2020, Catania, Italy, 2021 (2021)
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Des robots de téléprésence dans un séminaire doctoral : comment étudier les interactions à l’intérieur du groupe ?
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In: Drôles d'objets : un nouvel art de faire ; https://hal.archives-ouvertes.fr/hal-03618818 ; Drôles d'objets : un nouvel art de faire, Oct 2021, La Rochelle, France (2021)
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The first report of the International Cartilage Regeneration and Joint Preservation Society’s Global Registry
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SinNer@Clef-Hipe2020 : Sinful adaptation of SotA models for Named Entity Recognition in French and German
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In: CLEF 2020 Working Notes. Working Notes of CLEF 2020 - Conference and Labs of the Evaluation Forum ; https://hal.inria.fr/hal-02984746 ; CLEF 2020 Working Notes. Working Notes of CLEF 2020 - Conference and Labs of the Evaluation Forum, Sep 2020, Thessaloniki / Virtual, Greece ; https://impresso.github.io/CLEF-HIPE-2020/ (2020)
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Relating Performance on Written Assessments to Features of Mathematics Discussion
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In: International Journal of Science and Mathematics Education, vol 18, iss 7 (2020)
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A Dataset for Multi-lingual Epidemiological Event Extraction
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In: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) ; https://hal.archives-ouvertes.fr/hal-02732848 ; Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), May 2020, Marseille, France. pp.4139-4144 (2020)
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Multilingual Epidemiological Text Classification: A Comparative Study
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In: Proceedings of the 28th International Conference on Computational Linguistics ; COLING, International Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03089807 ; COLING, International Conference on Computational Linguistics, Dec 2020, Barcelone, Spain. pp.6172-6183, ⟨10.18653/v1/2020.coling-main.543⟩ (2020)
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Out-of-the-Box and Into the Ditch? Multilingual Evaluation of Generic Text Extraction Tools
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In: Language Resources and Evaluation Conference (LREC 2020) ; https://hal.archives-ouvertes.fr/hal-02732851 ; Language Resources and Evaluation Conference (LREC 2020), 2020, pp.5-13 (2020)
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Voting Classifier vs Deep learning method in Arabic Dialect Identification
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In: Proceedings of the Fifth Arabic Natural Language Processing Workshop, COLING 2020 ; : Proceedings of the Fifth Arabic Natural Language Processing Workshop, COLING 2020 ; https://hal.archives-ouvertes.fr/hal-03089957 ; : Proceedings of the Fifth Arabic Natural Language Processing Workshop, COLING 2020, Dec 2020, Barcelone, Spain (2020)
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Digital ou Numérique : un phénomène d'emprunt au cœur de la start-up nation ?
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In: Journées de Linguistique de Corpus (JLC) 2019 ; https://hal.archives-ouvertes.fr/hal-02571641 ; Journées de Linguistique de Corpus (JLC) 2019, Nov 2019, Grenoble, France (2019)
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Analyse stylistique automatique : à la recherche d'indices efficaces et pertinents pour caractériser le style de Dumas
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In: Phraséologie et stylistique de la langue littéraire ; https://hal.archives-ouvertes.fr/hal-02939782 ; Phraséologie et stylistique de la langue littéraire, Mar 2019, Erlangen, Allemagne (2019)
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MICHAEL: Mining Character-level Patterns for Arabic Dialect Identification (MADAR Challenge)
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In: Proceedings of the Fourth Arabic Natural Language Processing Workshop ; https://hal.archives-ouvertes.fr/hal-02467486 ; Proceedings of the Fourth Arabic Natural Language Processing Workshop, Aug 2019, Florence, France. pp.229-233, ⟨10.18653/v1/W19-4627⟩ (2019)
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The Role of Exporters’ Emotional Intelligence in Building Foreign Customer Relationships
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Black holes, gravitational waves and fundamental physics: a roadmap
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Survey of knowledge, attitudes and practice regarding adverse drug reaction (ADR) reporting among community pharmacists in Selangor, Malaysia
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Neural-symbolic computing: An effective methodology for principled integration of machine learning and reasoning
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Abstract:
Current advances in Artificial Intelligence and machine learning in general, and deep learning in particular have reached unprecedented impact not only across research communities, but also over popular media channels. However, concerns about interpretability and accountability of AI have been raised by influential thinkers. In spite of the recent impact of AI, several works have identified the need for principled knowledge representation and reasoning mechanisms integrated with deep learning-based systems to provide sound and explainable models for such systems. Neural-symbolic computing aims at integrating, as foreseen by Valiant, two most fundamental cognitive abilities: the ability to learn from the environment, and the ability to reason from what has been learned. Neural-symbolic computing has been an active topic of research for many years, reconciling the advantages of robust learning in neural networks and reasoning and interpretability of symbolic representation. In this paper, we survey recent accomplishments of neural-symbolic computing as a principled methodology for integrated machine learning and reasoning. We illustrate the effectiveness of the approach by outlining the main characteristics of the methodology: principled integration of neural learning with symbolic knowledge representation and reasoning allowing for the construction of explainable AI systems. The insights provided by neural-symbolic computing shed new light on the increasingly prominent need for interpretable and accountable AI systems.
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Keyword:
Adaptive Agents and Intelligent Robotics; Artificial Intelligence and Image Processing; Information and Computing Sciences
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URL: http://ecite.utas.edu.au/138157 https://www.collegepublications.co.uk/ifcolog/?00033
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Modèles en Caractères pour la Détection de Polarité dans les Tweets
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In: DEFT 2018 ; Atelier DEFT 2018 ; https://hal.archives-ouvertes.fr/hal-01988907 ; Atelier DEFT 2018, May 2018, Rennes, France ; https://deft.limsi.fr/2018/# (2018)
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A New Proposal for Evaluating Web Page Cleaning Tools
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In: ISSN: 1405-5546 ; EISSN: 2007-9737 ; Computación y sistemas ; https://hal.archives-ouvertes.fr/hal-02467732 ; Computación y sistemas, Instituto Politécnico Nacional IPN Centro de Investigación en Computación, 2018, ⟨10.13053/CyS-22-4-3062⟩ (2018)
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