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Nathalie Aussenac-Gilles - DR2 CNRS at IRIT, UMR 5505 , Toulouse, France


Nathalie Aussenac-Gilles is a CNRS senior researcher at IRIT, the laboratory in Computer Science of Université Paul Sabatier in Toulouse, since 1991. She is currently heading the IA department at IRIT together with P. Zaraté. Before, she headed the MELODI group (http://www.irit.fr/-Equipe-MELODI- ) jointly with P. Muller from 2011 to 2020 and from 2010 to 2019, she coordinated activities at IRIT related to Big Data, AI and Data processing.

Her research deals with knowledge engineering (KE) and semantic web technologies, methods and models for ontology engineering and population from human expertise, text and more recently from data. She contributes to information extraction from text, in particular relation extraction, and ontology-based integration of heterogeneous geospatial data. Her work is influenced by long term cross-disciplinary collaborations with linguists and researchers in human factors. She designed methods and platforms for ontology engineering and evolution, tools for semantic relation and concept extraction from text, as well as on knowledge representation to include lexical data.

She has been task manager in various French ANR and FUI projects with applications in areas as diverse as archaeology, car diagnosis, cartography, Earth observation or scholar paper analysis. She is an expert for the French ANR program, and was membre of the CNRS recruitment and evaluation committee from 2008 to 2012 and from 2016 to 2021. She chaired the GRACQ (1988-2005), a French working groups in KE, and later the TIA SIG (2005-2010) in NLP, KE and terminology. She was involved in the organization or chairing of conferences (EKAW, ESWC, TIA, IC, …) and she belongs to the editorial boards of scientific journals (formerly RevueI3 and IJHCS, currently Applied Ontology). She supervised 17 PhD. theses and published more than 90 papers in Journals, conferences and workshops related to semantic web and knowledge engineering.

Contact : nathalie.aussenac-gilles@irit.fr. https://www.irit.fr/~Nathalie.Aussenac-Gilles/


Farah Benamara   

Conference papers5 documents

  • Hadjer Khaldi, Amine Abdaoui, Farah Benamara, Grégoire Sigel, Nathalie Aussenac-Gilles. Classification de relations pour l'intelligence économique et concurrentielle. 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 2 : Traitement Automatique des Langues Naturelles, Jun 2020, Nancy, France. pp.27-39. ⟨hal-02784753v3⟩
  • Jihen Karoui, Farah Benamara, Veronique Moriceau, Viviana Patti, Cristina Bosco, et al.. Exploring the Impact of Pragmatic Phenomena on Irony Detection in Tweets: A Multilingual Corpus Study. 15th Conference of the European Chapter of the Association for Computational Linguistics, Apr 2017, Valencia, Spain. pp.262 - 272. ⟨hal-01686475⟩
  • Jihen Karoui, Farah Benamara, Véronique Moriceau, Nathalie Aussenac-Gilles, Lamia Hadrich Belguith. Détection automatique de l'ironie dans les tweets en français. 22eme Conference sur le Traitement Automatique des Langues Naturelles (TALN 2015), Jun 2015, Caen, France. pp. 1-6. ⟨hal-01334721⟩
  • Jihen Karoui, Farah Benamara, Véronique Moriceau, Nathalie Aussenac-Gilles, Lamia Hadrich Belguith. Towards a Contextual Pragmatic Model to Detect Irony in Tweets. 53rd Annual Meeting of the Association for Computational Linguistics (ACL 2015), Jul 2015, Beijing, China. pp.PP. 644-650, ⟨10.3115/v1/P15-2106⟩. ⟨hal-01334719⟩
  • Jihen Karoui, Nathalie Aussenac-Gilles, Farah Benamara, Lamia Belguith. Le langage figuratif dans le web social : cas de l'ironie et du sarcasme. Workshop Fouille d’opinion dans le Web social, Apr 2014, Lyon, France. ⟨hal-01686491⟩

Reports1 document

  • Nathalie Aussenac-Gilles, Farah Benamara. CRE-Orange : Lot1 - Etat de l'art sur les techniques d'extraction de relations n-aires autour de frame - A survey of extraction techniques for n-ary relations and their links with frames. [Contract] IRIT. 2019. ⟨hal-03012555⟩