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Analyse automatique d’arguments et apprentissage multi-tâches : un cas d’étude
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In: Revue Ouverte d'Intelligence Artificielle ; https://hal.mines-ales.fr/hal-03638222 ; Revue Ouverte d'Intelligence Artificielle, Association pour la diffusion de la recherche francophone en intelligence artificielle, 2022, 3 (3-4), pp.201-222. ⟨10.5802/roia.29⟩ (2022)
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Development of a method to evaluate odour quality based on non-expert analysis
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In: CEST2017 Proceedings ; 15th International Conference on Environmental Science And Technology (CEST 2017) ; https://hal.archives-ouvertes.fr/hal-01663972 ; 15th International Conference on Environmental Science And Technology (CEST 2017), Aug 2017, Rhodes, Greece (2017)
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Detecting sections and entities in court decisions using HMM and CRF graphical models
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In: Conférence Extraction et Gestion des Connaissances ; https://hal.archives-ouvertes.fr/hal-02101479 ; Conférence Extraction et Gestion des Connaissances, Université Grenoble alpes (UGA), Jan 2017, Grenoble, France ; http://egc2017.imag.fr/ (2017)
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Semantic Measures for the Comparison of Units of Language, Concepts or Entities from Text and Knowledge Base Analysis
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In: https://hal.archives-ouvertes.fr/hal-01485038 ; 2017 (2017)
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Towards a non-oriented approach for the evaluation of odor quality
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In: International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU 2016 ; https://hal.archives-ouvertes.fr/hal-01485002 ; International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU 2016, Jun 2016, Eindhoven, Netherlands. ⟨10.1007/978-3-319-40596-4_21⟩ (2016)
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Uncertainty detection in natural language: a probabilistic model
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In: WIMS '16 Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics ; https://hal.archives-ouvertes.fr/hal-01484994 ; WIMS '16 Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics, Jun 2016, Nîmes, France. ⟨10.1145/2912845.2912873⟩ (2016)
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Un modèle probabiliste pour la détection de l'incertitude dans le langage naturel. ...
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Semantic Similarity from Natural Language and Ontology Analysis
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In: https://hal.archives-ouvertes.fr/hal-01288380 ; Morgan & Claypool publishers, 8 (1), pp.254, 2015, Synthesis Lectures on Human Language Technologies, Graeme Hirst, 978-1-62705-446-1. ⟨10.2200/S00639ED1V01Y201504HLT027⟩ ; http://www.morganclaypool.com/doi/10.2200/S00639ED1V01Y201504HLT027 (2015)
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A framework for unifying ontology-based semantic similarity measures: A study in the biomedical domain
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In: ISSN: 1532-0464 ; EISSN: 1532-0480 ; Journal of Biomedical Informatics ; https://hal.archives-ouvertes.fr/hal-01059534 ; Journal of Biomedical Informatics, Elsevier, 2014, 48, pp.38-53. ⟨10.1016/j.jbi.2013.11.006⟩ (2014)
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Abstract:
International audience ; Ontologies are widely adopted in the biomedical domain to characterize various resources (e.g. diseases, drugs, scientific publications) with non-ambiguous meanings. By exploiting the structured knowledge that ontologies provide, a plethora of ad hoc and domain-specific semantic similarity measures have been defined over the last years. Nevertheless, some critical questions remain: which measure should be defined/chosen for a concrete application? Are some of the, a priori different, measures indeed equivalent? In order to bring some light to these questions, we perform an in-depth analysis of existing ontology-based measures to identify the core elements of semantic similarity assessment. As a result, this paper presents a unifying framework that aims to improve the understanding of semantic measures, to highlight their equivalences and to propose bridges between their theoretical bases. By demonstrating that groups of measures are just particular instantiations of parameterized functions, we unify a large number of state-of-the-art semantic similarity measures through common expressions. The application of the proposed framework and its practical usefulness is underlined by an empirical analysis of hundreds of semantic measures in a biomedical context.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; Biomedical ontologies; Ontologies; Semantic similarity measures; SNOMED-CT; Unifying framework
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URL: https://doi.org/10.1016/j.jbi.2013.11.006
https://hal.archives-ouvertes.fr/hal-01059534/file/a-framework-for-unifying-ontology-based-semantic-similarity-measures.pdf
https://hal.archives-ouvertes.fr/hal-01059534
https://hal.archives-ouvertes.fr/hal-01059534/document
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| 10 |
The Semantic Measures Library: Assessing Semantic Similarity from Knowledge Representation Analysis
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In: Natural Language Processing and Information Systems ; NLDB 2014, the 19th International Conference on Application of Natural Language to Information Systems ; https://hal.archives-ouvertes.fr/hal-01059488 ; NLDB 2014, the 19th International Conference on Application of Natural Language to Information Systems, Jun 2014, Montpellier, France. pp.254-257 (2014)
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| 11 |
Sélection Robuste de Mesures de Similarité Sémantique à partir de Données Incertaines d'Expertise
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In: Rencontres francophones sur la Logique Floue et ses Applications - LFA 2014 ; Logique Floue et Applications - LFA 2014 ; https://hal.archives-ouvertes.fr/hal-01113309 ; Logique Floue et Applications - LFA 2014, Oct 2014, Cargèse, France (2014)
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How ontology based information retrieval systems may benefit from lexical text analysis
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In: New Trends of Research in Ontologies and Lexical Resources ; https://hal.archives-ouvertes.fr/hal-00797143 ; Oltramari, Alessandro; Vossen, Piek; Qin, Lu; Hovy, Eduard. New Trends of Research in Ontologies and Lexical Resources, 15, Springer, pp.209-230, 2013, Theory and Applications of Natural Language Processing, 978-3-642-31781-1 (2013)
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Opinion Extraction Applied to Criteria
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In: 23rd International Conference on Database and Expert Systems Applications ; DEXA: Database and Expert Systems Applications ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-00732663 ; DEXA: Database and Expert Systems Applications, Sep 2012, Vienna, Austria. pp.457-465, ⟨10.1007/978-3-642-32597-7_44⟩ ; http://www.dexa.org/ (2012)
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Towards an Automatic Characterization of Criteria
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In: 22nd International Conference on Database and Expert Systems Applications ; DEXA: Database and Expert Systems Applications ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-00723579 ; DEXA: Database and Expert Systems Applications, Aug 2011, Toulouse, France. pp.457-465, ⟨10.1007/978-3-642-23088-2_34⟩ ; http://www.dexa.org/previous/dexa2011/index.html (2011)
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Towards an Automatic Characterization of Criteria
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In: DEXA ; DEXA, 22nd International Conference on Database and Expert Systems Applications ; https://hal.archives-ouvertes.fr/hal-00804737 ; DEXA, 22nd International Conference on Database and Expert Systems Applications, Aug 2011, TOULOUSE, France. pp.1 (2011)
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