ILES

Selected recent papers

Journal papers

  1. Joseph-Jean Mariani, Gil Francopoulo and Patrick Paroubek.
    The NLP4NLP Corpus (I): 50 Years of Publication, Collaboration and Citation in Speech and Language Processing. Frontiers in Research Metrics and Analytics, 2019.

  2. Joseph-Jean Mariani, Gil Francopoulo, Patrick Paroubek and Frédéric Vernier.
    The NLP4NLP Corpus (II): 50 Years of Research in Speech and Language Processing. Frontiers in Research Metrics and Analytics, 2019.

  3. Natalia Grabar and Cyril Grouin.
    A Year of Papers Using Biomedical Texts: Findings from the Section on Clinical Natural Language Processing of the International Medical Informatics Association Yearbook. IMIA Yearbook of Medical Informatics, 2019.

  4. Yasmine Baghdadi, Alix Bourrée, Aude Robert, Grégoire Rey, Anne Gallay, Pierre Zweigenbaum, Cyril Grouin and Anne Fouillet.
    Automatic classification of free-text medical causes from death certificates for reactive mortality surveillance in France. International Journal of Medical Informatics, 2019.

  5. Leonardo Campillos-Llanos, Catherine Thomas, Eric Bilinski, Pierre Zweigenbaum and Sophie Rosset.
    Designing a virtual patient dialogue system based on terminology-rich resources: challenges and evaluation. Natural Language Engineering, 2019.
    URL

  6. Pierre Magistry, Anne-Laure Ligozat and Sophie Rosset.
    Exploiting languages proximity for part-of-speech tagging of three French regional languages. Language Resources and Evaluation, 2019.
    URL

  7. Yasmine Baghdadi, Alix Bourrée, Aude Robert, Grégoire Rey, Anne Gallay, Pierre Zweigenbaum, Cyril Grouin and Anne Fouillet.
    Performance of machine learning method to classify free-text medical causes of death. Online Journal of Public Health Informatics, 2019.

  8. Christopher Norman, Mariska Leeflang, Raphaël Porcher and Aurélie Névéol.
    Measuring the impact of screening automation on meta-analyses of diagnostic test accuracy. Systematic Reviews, 2019.

  9. Carole Deccache, Thierry Hamon, Maxime Morsa, Vincent De Andrade, Maria Grazia Albano and Rémi Gagnayre.
    Helping patients to learn : characteristics and types of users and uses of independent online forums on health problems and chronic conditions. Éducation thérapeutique du patient / Therapeutic patient education, 2019.

  10. Leonardo Campillos, Louise Deléger, Cyril Grouin, Thierry Hamon, Anne-Laure Ligozat and Aurélie Névéol.
    A French clinical corpus with comprehensive semantic annotations: development of the Medical Entity and Relation LIMSI annOtated Text corpus (MERLOT). Language Resources and Evaluation, 2018.
    URL

  11. Aurélie Névéol, Hercules Dalianis, Sumithra Velupillai, Guergana Savova and Pierre Zweigenbaum.
    Clinical Natural Language Processing in languages other than English: opportunities and challenges.. Journal of Biomedical Semantics, 2018.
    URL

  12. Pierre Karapetiantz, Florelle Bellet, Bissan Audeh, Jérémy Lardon, Damien Leprovost, Rim Aboukhamis, François Morlane-Hondère, Cyril Grouin, Anita Burgun, Sandrine Katsahian, Marie-Christine Jaulent, Marie-Noëlle Beyens, Agnès Lillo-Le Louët and Cédric Bousquet.
    Descriptions of Adverse Drug Reactions are Less Informative in Forums than in the French Pharmacovigilance Database but Provide More Unexpected Reactions. Frontiers in Pharmacology, 2018.
    URL

  13. Aurélie Névéol and Pierre Zweigenbaum.
    Expanding the Diversity of Texts and Applications: Findings from the Section on Clinical Natural Language Processing of the International Medical Informatics Association Yearbook.. IMIA Yearbook of Medical Informatics, 2018.
    URL

  14. Sidahmed Benabderrahmane, Nedra Mellouli, Myriam Lamolle and Patrick Paroubek.
    Smart4Job: A Big Data Framework for Intelligent Job Offers Broadcasting Using Time Series Forecasting and Semantic Classification. Big Data Research, 2017.

  15. Aurélie Névéol and Pierre Zweigenbaum.
    Making Sense of Big Textual Data for Health Care: Findings from the Section on Clinical Natural Language Processing. IMIA Yearbook of Medical Informatics, 2017.
    URL

  16. Louise Deléger, Leonardo Campillos, Anne-Laure Ligozat and Aurélie Névéol.
    Design of an extensive information representation scheme for clinical narratives. Journal of Biomedical Semantics, 2017.
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  17. Christopher Norman, Thu Van Nguyen and Aurélie Névéol.
    Contribution of Natural Language Processing in Predicting Rehospitalization Risk. Medical care, 2017.
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  18. Joseph-Jean Mariani, Gil Francopoulo and Patrick Paroubek.
    Reuse and Plagiarism in Speech and Natural Language Processing. International Journal on Digital Libraries, 2017.
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  19. Reinhard Rapp, Serge Sharoff and Pierre Zweigenbaum.
    Recent advances in machine translation using comparable corpora. Natural Language Engineering, 2016.

  20. Morgane Marchand, Romaric Besançon, Olivier Mesnard and Anne Vilnat.
    Domain Adaptation for Opinion Mining: A Study of Multipolarity Words. Journal for Language Technology and Computational Linguistics, 2014.

International conferences

  1. Hanna Pylieva, Artem Chernodub, Natalia Grabar and Thierry Hamon.
    Generalizability of readability models for medical terms. In International Congress on Medical Informatics. 2019.
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  2. Natalia Grabar and Thierry Hamon.
    WikiWars-UA : Ukrainian corpus annotated with temporal expressions. In Computational Linguistics and Intelligent Systems. 2019.
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  3. Hanna Pylieva, Artem Chernodub, Natalia Grabar and Thierry Hamon.
    RNN embeddings for identifying difficult to understand medical words. In ACL Workshop on Biomedical Natural Language Processing. 2019.
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  4. Georgeta Bordea, Tsanta Randriatsitohaina, Natalia Grabar, Fleur Mougin and Thierry Hamon.
    Query selection methods for automated corpora construction with a use case in food-drug interactions. In ACL Workshop on Biomedical Natural Language Processing. 2019.
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  5. Georgeta Bordea, Franck Thiessard, Thierry Hamon and Fleur Mougin.
    Automatic query selection for acquisition and discovery of food-drug interactions. In Conference and Labs of the Evaluation Forum. 2018.
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PhD Thesis

  1. Wafa Neifar.
    Méthodes d'acquisition terminologique en arabe : application au domaine médical. 2019.

  2. Rashedur Rahman.
    Knowledge Base Population based on Entity Graph Analysis. 2018.

  3. Emanuela Boros.
    Neural Methods for Event Extraction. 2018.

  4. Dialekti Valsamou.
    Extraction d’Information pour les réseaux de régulation de la graine chez Arabidopsis Thaliana. 2017.

  5. Mohamed-el-Fatah Benchiheub.
    Contribution à l'analyse des mouvements 3D de la Langue des Signes Française (LSF) en Action et en Perception. 2017.

  6. Mohamed Hadjadj.
    Modélisation de la Langue des Signes Française : Proposition d'un système à compositionalité sémantique. 2017.

  7. Martin Gleize.
    Textual Inference for Machine Comprehension. 2016.

  8. Benjamin Marie.
    Exploitation d’informations riches pour guider la traduction automatique statistique. 2016.

  9. Van-Minh Pho.
    Génération automatique de questionnaires à choix multiples pédagogiques : évaluation de l'homogénéité des options. 2015.

  10. Wei Wang.
    Unsupervised Information Extraction From Text – Extraction and Clustering of Relations Between Entities. 2013.

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