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Psychiatry on Twitter: Content Analysis of the Use of Psychiatric Terms in French
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In: ISSN: 2561-326X ; JMIR Formative Research ; https://hal.archives-ouvertes.fr/hal-03614832 ; JMIR Formative Research, JMIR Publications 2022, 6 (2), pp.e18539. ⟨10.2196/18539⟩ ; https://formative.jmir.org/2022/2/e18539 (2022)
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Emotionally Informed Hate Speech Detection: A Multi-target Perspective
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In: ISSN: 1866-9956 ; EISSN: 1866-9964 ; Cognitive Computation ; https://hal.archives-ouvertes.fr/hal-03275549 ; Cognitive Computation, Springer, 2021, 13 (4), ⟨10.1007/s12559-021-09862-5⟩ ; https://link.springer.com/article/10.1007%2Fs12559-021-09862-5 (2021)
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Weak supervision for learning discourse structure in multi-party dialogues ; Supervision distante pour l'apprentissage de structures discursives dans les conversations multi-locuteurs
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In: https://tel.archives-ouvertes.fr/tel-03622653 ; Artificial Intelligence [cs.AI]. Université Paul Sabatier - Toulouse III, 2021. English. ⟨NNT : 2021TOU30138⟩ (2021)
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“Be nice to your wife! The restaurants are closed”: Can Gender Stereotype Detection Improve Sexism Classification?
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In: Findings of the Association for Computational Linguistics: EMNLP 2021 ; Conference on Findings of the Association for Computational Linguistics (EMNLP 2021) ; https://hal.archives-ouvertes.fr/hal-03468351 ; Conference on Findings of the Association for Computational Linguistics (EMNLP 2021), ACL: Association for Computational Linguistics, Nov 2021, Punta Cana, Dominican Republic. pp.2833-2844 ; https://aclanthology.org/2021.findings-emnlp.242/ (2021)
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Approaching Roles with Affordances
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In: JOWO 2020. The Joint Ontology Workshops. Proceedings of the Joint Ontology Workshops co-located with the Bolzano Summer of Knowledge (BOSK 2020) ; Workshop on Foundational Ontology (FOUST IV). The Joint Ontology Workshops 2020 (JOWO 2020) ; https://hal.archives-ouvertes.fr/hal-03039638 ; Workshop on Foundational Ontology (FOUST IV). The Joint Ontology Workshops 2020 (JOWO 2020), Sep 2020, Bolzano, Italy ; http://ceur-ws.org/Vol-2708/ (2020)
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An Algerian Corpus and an Annotation Platform for Opinion and Emotion Analysis
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In: Proceedings of the 12th Language Resources and Evaluation Conference ; 12th Language Resources and Evaluation Conference, LREC 2020 ; https://hal.archives-ouvertes.fr/hal-03102495 ; 12th Language Resources and Evaluation Conference, LREC 2020, May 2020, Marseille, France. pp.1202-1210 ; https://www.aclweb.org/anthology/2020.lrec-1.151/ (2020)
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Multilingual Irony Detection with Dependency Syntax and Neural Models
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In: Proceedings of the 28th International Conference on Computational Linguistics ; 28th International Conference on Computational Linguistics (COLING 2020) ; https://hal.archives-ouvertes.fr/hal-03102480 ; 28th International Conference on Computational Linguistics (COLING 2020), Dec 2020, Barcelona (Online), Spain. pp.1346-1358 ; https://www.aclweb.org/anthology/2020.coling-main.116/ (2020)
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Irony Detection in a Multilingual Context
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In: ECIR ; https://hal.archives-ouvertes.fr/hal-02889008 ; ECIR, Apr 2020, online, Portugal (2020)
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Pluralities, Collectives, and Composites
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In: Formal Ontology in Information Systems, Proceedings of the 11th International Conference (FOIS 2020) ; https://hal.archives-ouvertes.fr/hal-03082789 ; Boyan Brodaric; Fabian Neuhaus. Formal Ontology in Information Systems, Proceedings of the 11th International Conference (FOIS 2020), 330, IOS Press, pp.186-200, 2020, Frontiers in Artificial Intelligence and Applications, 0922-6389. ⟨10.3233/FAIA200671⟩ ; http://www.loa.istc.cnr.it/wp-content/uploads/2020/12/FAIA-330-FAIA200671.pdf (2020)
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Graph-Based Approaches to Structural Universals and Complex States of Affairs
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In: Frontiers in Artificial Intelligence and Applications, vol. 306 ; 10th International Conference on Formal Ontology in Information Systems (FOIS 2018) ; https://hal.archives-ouvertes.fr/hal-02089294 ; 10th International Conference on Formal Ontology in Information Systems (FOIS 2018), Sep 2018, Cape Town, South Africa. pp.69-82 (2018)
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Complex matching based on competency questions for alignment: a first sketch (short paper)
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In: International Workshop on Ontology Matching co-located with the 17th International Semantic Web Conference (OM@ISWC'18 2018), Monterey, 08/10/18 ; https://hal.archives-ouvertes.fr/hal-02102382 ; International Workshop on Ontology Matching co-located with the 17th International Semantic Web Conference (OM@ISWC'18 2018), Monterey, 08/10/18, Oct 2018, Monterey, United States. pp.(on line) (2018)
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Unsupervised relation extraction from scientific texts using self-organizing maps
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In: Actes du 1er Atelier sur l' Extraction et la Modélisation de Connaissances à partir de textes scientifiques, plateforme PFIA 2017 ; 1er Atelier sur l' Extraction et la Modélisation de Connaissances à partir de textes scientifiques, associé à PFIA 2017 (EMC-Sci 2017) ; https://hal.archives-ouvertes.fr/hal-01913664 ; 1er Atelier sur l' Extraction et la Modélisation de Connaissances à partir de textes scientifiques, associé à PFIA 2017 (EMC-Sci 2017), Jul 2017, Caen, France. pp.25-32 (2017)
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A Distant Learning Approach for Extracting Hypernym Relations from Wikipedia Disambiguation Pages
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In: Procedia Computer Science - Vol. 112 - 2017 ; 21st International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2017) ; https://hal.archives-ouvertes.fr/hal-01919073 ; 21st International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2017), Sep 2017, Marseille, France. pp.1764-1773 (2017)
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Extraction de relations : combiner les techniques pour s'adapter à la diversité du texte.
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In: 28es Journées francophones d'Ingénierie des Connaissances IC 2017 ; https://hal.archives-ouvertes.fr/hal-01570070 ; 28es Journées francophones d'Ingénierie des Connaissances IC 2017, AFIA, Jul 2017, Caen, France. pp.86-97 ; https://pfia2017.greyc.fr/ic/presentation (2017)
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Automatic Irony Detection in Users Generated Content ; Détection automatique de l'ironie dans les contenus générés par les utilisateurs
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In: https://hal.archives-ouvertes.fr/tel-01615868 ; Intelligence artificielle [cs.AI]. Université de Toulouse 3 Paul Sabatier; Faculté des Sciences Economiques et de Gestion, Université de Sfax (Tunisie), 2017. Français (2017)
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Exploring the Impact of Pragmatic Phenomena on Irony Detection in Tweets: A Multilingual Corpus Study
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In: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1 ; 15th Conference of the European Chapter of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01686475 ; 15th Conference of the European Chapter of the Association for Computational Linguistics, Apr 2017, Valencia, Spain. pp.262 - 272 (2017)
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SOUKHRIA: Towards an Irony Detection System for Arabic in Social Media
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In: 3rd International Conference on Arabic Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01686504 ; 3rd International Conference on Arabic Computational Linguistics, Nov 2017, Dubaï, United Arab Emirates. pp.161 - 168, ⟨10.1016/j.procs.2017.10.105⟩ (2017)
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Extraction de relations d'hyperonymie à partir de Wikipédia
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In: Actes de la conférence conjointe JEP-TALN-RECITAL 2016 : volume3 RECITAL ; 18èmes Rencontres des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues, partie de la conférence conjointe JEP-TALN-RECITAL 2016 ; https://hal.archives-ouvertes.fr/hal-01873749 ; 18èmes Rencontres des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues, partie de la conférence conjointe JEP-TALN-RECITAL 2016, Jul 2016, Paris, France. pp. 40-51 (2016)
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A Supervised Approach for Enriching the Relational Structure of Frame Semantics in FrameNet
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In: Proceedings of COLING 2016 ; 26th International Conference on Computational Linguistics (COLING 2016) ; https://hal.archives-ouvertes.fr/hal-01709130 ; 26th International Conference on Computational Linguistics (COLING 2016), Dec 2016, Osaka, Japan. pp. 3542-3552 (2016)
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The OntoEnrich platform: using workflows for quality assurance and axiomatic enrichment of ontologies
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In: Uk Ontology network meeting (UKON 2016) ; https://hal.archives-ouvertes.fr/hal-03155057 ; Uk Ontology network meeting (UKON 2016), Apr 2016, Newcastle, Royaume-Uni (2016)
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Abstract:
International audience ; Ontologies are rich in natural language content, because it facilitates the understanding of the ontology to humans. Biomedical ontologies contain more human-facing content than that which is machine-processable—not all the natural language content in definitions is mirrored as logical axioms, which is how machines can understand ontologies. Consequently, the development of methods and tools able to convert the natural language into logical axioms would be helpful to increase the usefulness of ontologies. Some ontologies have lexical regularities (LRs) and, when they exist, the OntoEnrich platform can be used to exploited them from the analysis of the labels. Methods and tools about how these LRs can be ordered, filtered and prioritised with the aim of generating logical axioms are provided. OntoEnrich contains a series of pre-defined workflows to help the user in the inspection of LRs, and help him in deciding whether an LR is there to be exploited or not. For example, one workflow permits to check the "lexically suggest, logically define" principle. Its application to the biomedical ontology SNOMED CT reveals some potentially suboptimal design in the axioms associated with the LR `Congenital stenosis'. Another workflow exploits the POS-Tagging of the words associated with the LR to design templates for generating new axioms. Those two workflows will be the ones selected for this demonstration, although OntoEnrich offers other workflows, such as aligning LRs with terms from other ontologies to suggest matches, calculating the semantic distance between classes that exhibit an LR, or calculating the modularity of an LR in an ontology. In summary, OntoEnrich contributes to the systematic analysis of LRs in ontologies. The transformation of LRs into patterns that enrich the ontology has not been completely automated, but OntoEnrich supports domain experts in ontology quality assurance and enrichment tasks.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
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URL: https://hal.archives-ouvertes.fr/hal-03155057
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