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Meta-Analysis of the Functional Neuroimaging Literature with Probabilistic Logic Programming
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In: https://hal.archives-ouvertes.fr/hal-03590714 ; 2022 (2022)
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An Ontology based Smart Management of Linguistic Knowledge
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In: EISSN: 2416-5999 ; Journal of Data Mining and Digital Humanities ; https://hal.archives-ouvertes.fr/hal-03618012 ; Journal of Data Mining and Digital Humanities, Episciences.org, In press (2022)
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The Conceptual Metaphor of "Blue" in Vietnamese Language ...
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The Conceptual Metaphor of "Blue" in Vietnamese Language ...
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A New Ontology-Based Method for Arabic Sentiment Analysis
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In: Big Data and Cognitive Computing; Volume 6; Issue 2; Pages: 48 (2022)
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A Comparison of Hybrid and End-to-End ASR Systems for the IberSpeech-RTVE 2020 Speech-to-Text Transcription Challenge
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In: Applied Sciences; Volume 12; Issue 2; Pages: 903 (2022)
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A Domain Adaptation-Based Method for Classification of Motor Imagery EEG
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In: Mathematics; Volume 10; Issue 9; Pages: 1588 (2022)
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Copyright Basics for OERs
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In: Open Educational Resources for Social Sciences (2022)
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The Domain Mismatch Problem in the Broadcast Speaker Attribution Task
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In: ISSN: 2076-3417 ; Applied Sciences ; https://hal.archives-ouvertes.fr/hal-03448852 ; Applied Sciences, MDPI, 2021, 11 (18), pp.8521. ⟨10.3390/app11188521⟩ (2021)
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A case-study of language-specific executive disorder
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In: ISSN: 0264-3294 ; EISSN: 1464-0627 ; Cognitive Neuropsychology ; https://hal.archives-ouvertes.fr/hal-03372987 ; Cognitive Neuropsychology, Taylor & Francis (Routledge), 2021, 38 (2), pp.125 - 137. ⟨10.1080/02643294.2021.1941828⟩ (2021)
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| 13 |
Simplification automatique de textes biomédicaux en français : les données précises de petite taille aident
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In: Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale ; TALN - Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-03509735 ; TALN - Traitement Automatique des Langues Naturelles, Jul 2021, Lille, France (2021)
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| 14 |
Disambiguation of Medical Abbreviations in French with Supervised Methods
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In: Studies in Health Technology and Informatics ; https://hal.archives-ouvertes.fr/hal-03335532 ; Studies in Health Technology and Informatics, 2021, ⟨10.3233/shti210171⟩ (2021)
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| 15 |
The diachronic study of genres in architecture: towards a better understanding of recent evolutions in this professional domain
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In: 15th Conference of the European Society for the Study of English ; https://hal.archives-ouvertes.fr/hal-03453068 ; 15th Conference of the European Society for the Study of English, Aug 2021, Lyon, France (2021)
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| 16 |
WEIR-P: An Information Extraction Pipeline for the Wastewater Domain
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In: RCIS 2021 - 5th International Conference on Research Challenges in Information Science ; https://hal.archives-ouvertes.fr/hal-03211461 ; RCIS 2021 - 5th International Conference on Research Challenges in Information Science, May 2021, Virtual, Cyprus (2021)
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| 17 |
Models of diachronic semantic change using word embeddings ; Modèles diachroniques à base de plongements de mot pour l'analyse du changement sémantique
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In: https://tel.archives-ouvertes.fr/tel-03199801 ; Document and Text Processing. Université Paris-Saclay, 2021. English. ⟨NNT : 2021UPASG006⟩ (2021)
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Knowledge engineering in the sourcing domain for the recommendation of providers ; Ingénierie des connaissances dans le domaine du sourcing pour la recommandation de prestataires
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In: https://tel.archives-ouvertes.fr/tel-03336353 ; Information Retrieval [cs.IR]. Université Côte d'Azur, 2021. English. ⟨NNT : 2021COAZ4024⟩ (2021)
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Abstract:
This CIFRE doctoral thesis is part of a collaborative research project between the I3S laboratory of the University of Côte d'Azur and the Silex company, and addresses the field of recommendation systems. Silex is a start-up that develops a Software-as-a-Service sourcing tool that allows companies to provide a description of their professional activities, their offers and/or the services they are looking for in natural language (currently French).In this context, the objective of this thesis is to propose a decision support system by exploiting the semantic knowledge that are extracted from the textual descriptions of requests for services and providers, in order to recommend relevant providers for a service request.The contributions of this thesis are the following. First, we proposed a vocabulary for the sourcing field by reusing and integrating existing vocabularies, in order to semantically annotate the textual descriptions of providers and requests for services. Second, we proposed an automatic alignment method to establish the correspondence between different concepts of the considered vocabularies. This approach is based on rules exploiting embedding space and measurements on groups of labels to discover the relationships between concepts. Third, we proposed an algorithm for extracting named entities from the textual descriptions of service requests and providers, and an algorithm for semantic annotation of these descriptions, based on the linking of the extracted entities with the concepts of the defined vocabulary.Fourth, we proposed a provider recommendation algorithm that exploits these knowledges extracted.Finally, we studied the contribution of using ontological knowledge to improve our decision support system for the sourcing domain in order to recommend relevant providers for a service request.The contributions of this thesis are the following. First, we proposed a vocabulary for the sourcing field in order to semantically annotate the textual descriptions of providers and requests for services. This vocabulary was built by reusing and integrating existing vocabularies. Second, we proposed an automatic alignment method to establish the correspondence between different concepts of the considered vocabularies. This approach is based on rules exploiting embedding space and measurements on groups of labels to discover the relationships between concepts. Third, we proposed an algorithm for extracting named entities from the textual descriptions of service requests and providers, and an algorithm for semantic annotation of these descriptions, based on the linking of the extracted entities with the concepts of the defined vocabulary.Fourth, we proposed a provider recommendation algorithm that exploits these knowledge extracted.Finally, we studied the contribution of using ontological knowledge to improve our decision support system for the sourcing domain. ; Cette thèse de doctorat CIFRE s'inscrit dans le cadre d'un projet de recherche collaboratif entre le laboratoire I3S de l'Université Côte d'Azur et la société Silex et aborde le domaine des systèmes de recommandation. Silex est une start-up qui développe un outil de sourcing Software-as-a-Service permettant aux entreprises de fournir une description de leurs activités professionnelles, de leurs offres et/ou des services qu'elles recherchent en langue naturelle (actuellement le français).Dans ce contexte, l'objectif de cette thèse est de proposer un système d'aide à la décision en exploitant les connaissances sémantiques extraites à partir des descriptions textuelles des demandes de prestation et des prestataires, afin de recommander des prestataires pertinents pour une demande de prestation.Les contributions de cette thèse sont les suivantes. Premièrement, nous avons proposé un vocabulaire pour le domaine du sourcing en réutilisant et en intégrant des vocabulaires existants, afin d'annoter sémantiquement les descriptions textuelles des prestataires et des demandes de prestation. Deuxièmement, nous avons proposé une méthode d’alignement automatique afin d'établir la correspondance entre différents concepts des vocabulaires considérés. Cette approche se base sur des règles exploitant l'espace des plongements lexicaux et des mesures sur des groupes d'étiquettes pour découvrir les relations entre concepts. Troisièmement, nous avons proposé un algorithme d'extraction des entités nommées à partir des descriptions textuelles des demandes de prestation et des prestataires et un algorithme d'annotation sémantique de ces descriptions, basé sur le liage des entités extraites avec les concepts du vocabulaire défini.Quatrièmement, nous avons proposé un algorithme de recommandation de prestataires qui exploite ces annotations sémantiques.Finalement, nous avons étudié l'apport de l'utilisation de connaissances ontologiques afin d'améliorer notre système d'aide à décision pour le domaine du sourcing.
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Keyword:
[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]; Alignement d'ontologies; Ontologie; Ontology; Ontology alignment; Recommender system; Sourcing; Sourcing domain; Système de recommandation
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URL: https://tel.archives-ouvertes.fr/tel-03336353/document
https://tel.archives-ouvertes.fr/tel-03336353
https://tel.archives-ouvertes.fr/tel-03336353/file/2021COAZ4024.pdf
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| 19 |
Robustness of language recognition system to transmission channel ; Robustesse au canal des systèmes de reconnaissance de la langue
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In: https://hal.archives-ouvertes.fr/tel-03546267 ; Computer Science [cs]. Université de Lorraine, 2021. English. ⟨NNT : 2021LORR0250⟩ (2021)
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Multi-domain Neural Machine Translation ; Traduction automatique neuronale multidomaine
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In: https://tel.archives-ouvertes.fr/tel-03546910 ; Artificial Intelligence [cs.AI]. Université Paris-Saclay, 2021. English. ⟨NNT : 2021UPASG109⟩ (2021)
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