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1
Inférence des relations sémantiques dans un réseau lexico-sémantique multilingue
In: 26e Conférence sur le Traitement Automatique des Langues Naturelles ; TALN: Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-02269113 ; TALN: Traitement Automatique des Langues Naturelles, Jul 2019, Toulouse, France ; https://www.irit.fr/pfia2019/taln-recital/taln-recital-2019-articles-acceptes/ (2019)
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2
Multilingual Knowledge Base Completion by Cross-lingual Semantic Relation Inference
In: 4th International Workshop on Language Technologies and Applications ; LTA: Language Technologies and Applications ; https://hal.archives-ouvertes.fr/hal-02269121 ; LTA: Language Technologies and Applications, Sep 2019, Leipzig, Germany ; https://fedcsis.org/2019/lta (2019)
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3
Towards the Automatic Detection of Nutritional Incompatibilities Based on Recipe Titles
In: 1st International Cross-Domain Conference for Machine Learning and Knowledge Extraction co-located with ARES 2017 ; CD-MAKE: Cross-Domain Conference for Machine Learning and Knowledge Extraction ; https://hal.inria.fr/hal-01677134 ; CD-MAKE: Cross-Domain Conference for Machine Learning and Knowledge Extraction, Aug 2017, Reggio, Italy. pp.346-366, ⟨10.1007/978-3-319-66808-6_23⟩ ; https://cd-make.net/archive2017/ (2017)
Abstract: Part 6: MAKE Semantics ; International audience ; The present paper reports experimental work on the automatic detection of nutritional incompatibilities of cooking recipes based on their titles. Such incompatibilities viewed as medical or cultural issues became a major concern in western societies. The gastronomy language represents an important challenge because of its elusiveness, its metaphors, and sometimes its catchy style. The recipe title processing brings together the analysis of short and domain-specific texts. We tackle these issues by building our algorithm on the basis of a common knowledge lexical semantic network. The experiment is reproducible. It uses freely available resources.
Keyword: [INFO]Computer Science [cs]; [SHS.INFO]Humanities and Social Sciences/Library and information sciences
URL: https://hal.inria.fr/hal-01677134
https://hal.inria.fr/hal-01677134/file/456304_1_En_23_Chapter.pdf
https://hal.inria.fr/hal-01677134/document
https://doi.org/10.1007/978-3-319-66808-6_23
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4
Découverte des patrons de connaissance grâce à la modélisation sémantique des phrases d'instructions
In: 10ème édition de la Conférence TOTh ; TOTh: Terminology and Ontology - Theories and applications ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01471726 ; TOTh: Terminology and Ontology - Theories and applications, Jun 2016, Chambéry, France ; http://porphyre.org/toth/toth-2016 (2016)
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5
Using Constraints on a general Knowledge lexical networK for domain-specific semantic relation extraction and modeling
In: 22nd International Conference on Computational Linguistics and Intellectual Technologies ; DIALOGUE ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01471663 ; DIALOGUE, Jun 2016, Moscou, Russia ; http://www.dialog-21.ru/en/dialogue2016/results/ (2016)
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