Xavier Tannier

How is Artificial Intelligence Changing Science?

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LIMICS (Laboratoire d’Informatique Médicale et d’Ingénierie des Connaissances en e-Santé)
Sorbonne University

Esc. D, 2ème étage.
15, rue de l’école de médecine
Campus des Cordeliers
75006 Paris
France

Education

2014: Habilitation
2003-2006: PhD, École Nationale Supérieure des Mines de Saint-Etienne, France – Extraction et recherche d’information en langage naturel dans les documents semi-structurés
2003: Master Thesis, Institut de Recherche de Informatique de Toulouse (IRIT), France

Research Experience

Since 2017: Professor at Sorbonne Université and LIMICS – teaching at Polytech Paris-Sorbonne, France
2017-2018: Principal investigator of the Google Digital News Initiative project on interactive annotation and machine learning for data journalists
2015-2020: Principal investigator of the ANR project ASRAEL (Acquisition de Schémas pour la Reconnaissance et l’Annotation d’Événements Liés)
2015-2020: Scientific leader for LIMSI in the ANR project ContentCheck: Models, Algorithms and Tools for Data Journalism and Journalistic Fact-Checking
2015-2016: Principal investigator of a Google Award for Computational Journalism
2007-2017: Assistant Professor at University Paris-Sud and LIMSI-CNRS, France
2006-2007: PostDoc researcher, Xerox Research Center Europe, France – temporal processing and semantic representation in texts

Relevant Publications

Lerner, I., Paris, N., & Tannier, X. (2020). Terminologies augmented recurrent neural network model for clinical named entity recognition. Journal of Biomedical Informatics, 102, 103356. https://doi.org/10.1016/j.jbi.2019.103356
Nabet, C., Acherar, A., Huguenin, A., Tannier, X., & Piarroux, R. (2020). Artificial Intelligence and Malaria. In N. Lidströmer & H. Ashrafian (Eds.), Artificial Intelligence in Medicine (pp. 1–17). Springer International Publishing.
Nabet, C., Chaline, A., Franetich, J.-F., Brossas, J.-Y., Shahmirian, N., Silvie, O., Tannier, X., & Piarroux, R. (2020). Prediction of malaria transmission drivers in Anopheles mosquitoes using artificial intelligence coupled to MALDI-TOF mass spectrometry. Scientific Reports, 10(1), 11379. https://doi.org/10.1038/s41598-020-68272-z
Pontiki, M., Galanis, D., Papageorgiou, H., Androutsopoulos, I., Manandhar, S., AL-Smadi, M., Al-Ayyoub, M., Zhao, Y., Qin, B., De Clercq, O., Hoste, V., Apidianaki, M., Tannier, X., Loukachevitch, N., Kotelnikov, E., Bel, N., Jiménez-Zafra, S. M., & Eryiğit, G. (2016). SemEval-2016 Task 5: Aspect Based Sentiment Analysis. International Workshop on Semantic Evaluation, 19–30. https://doi.org/10.18653/v1/S16-1002
Wajsbürt, P., Sarfati, A., & Tannier, X. (2021). Medical concept normalization in French using multilingual terminologies and contextual embeddings. Journal of Biomedical Informatics, 114, 103684. https://doi.org/10.1016/j.jbi.2021.103684