Professor CS at @Sorbonne_Univ_. Research at LIMICS. Teaches at @PolytechSorbonn

Joined August 2010
Xavier Tannier retweeted
Our paper on extracting both explicit and implicit cause-effect relationships in patient-reported diabetes tweets using deep learning has been published. Check it out 👇👇
New JMIR MedInform: Extraction of Explicit and Implicit Cause-Effect Relationships in #patient-Reported Diabetes-Related Tweets From 2017 to 2021: Deep Learning Approach dlvr.it/SV8jYP
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BLOOM is here. The largest open-access multilingual language model ever. Read more about it or get it at bigscience.huggingface.co/bl… hf.co/bigscience/bloom
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"Multilabel classification of medical concepts for patient clinical profile identification", our new paper in journal of Artificial Intelligence in Medicine, Christel Gérardin et al. #NLProc sciencedirect.com/science/ar…
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"Privacy-Preserving Mimic Models for clinical Named Entity Recognition in French" A new @J_Biomed_Info paper with N. Bannour, P. Wajsbürt, @bastien_rance & A. Névéol @AlmostAisling authors.elsevier.com/c/1ezcb… #NLProc
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Plus qu'une semaine avant la Journée Portes Ouvertes de @PolytechSorbonn le 12 février. Toutes les informations sur polytech.sorbonne-universite…
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Xavier Tannier retweeted
Yesterday I successfully defended my thesis after three exciting and intense years🥳🥳 I would like to particularly thank my thesis director @GFaghe for his constant support, the freedom he gave me and outstanding supervision. What a journey!!
Allow me to introduce Dr Ahne @Adrahne, former PhD student, now doctor in digital epidemiology, who successfully defended his PhD thesis on the use of #AI methods for the analysis of online data. Thanks to @Cesp_Inserm @EtudeE4N @Epiconcept @LIH_Luxembourg @UnivParisSaclay 🙏
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Xavier Tannier retweeted
New paper alert!! 🥳🥳 We proposed a methodology and developed a prototype for a clinical decision support systems to explore unstructured clinical text data and target topics of interest for health professionals without programming skills.
New in JMIR: Improving #Diabetes-Related Bio##Medical Literature Exploration in the Clinical Decision-making Process via Interactive Classification and Topic Discovery: Methodology Development #Study dlvr.it/SHLgZW
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Bonjour, J'ai le plaisir de vous annoncer que toute l'équipe de journalistes qui a récemment quitté Science & Vie, et dont je fais partie, rend public aujourd'hui même la création d'un nouveau magazine scientifique. Il s'appelle Epsiloon (prononcer epsilon).
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Imagine a search engine for news backed by structured data for events. Search and filter for event types and dimensions of newsworthiness. It exists here: asrael.eurecom.fr/search-eng… via @rtroncy
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Xavier Tannier retweeted
The LHC involves 10.000 researchers from 100 countries In many scientific fields, worldwide research collaborations create tools useful for the entire research community: LHC, ITER, ISS.. Maybe it's time to build similar large, diverse, open research collab in AI/NLP as well 👇
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"Medical concept normalization in French using multilingual terminologies and contextual embeddings", with P. Wajsbürt and A. Sarfati, now published in JBI #NLProc authors.elsevier.com/a/1cTWe… 1/6
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On two corpora from the Quaero FrenchMed benchmark (@AlmostAisling et al.), we show that our approach can lead to good results even with no labeled data at all. 5/6
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Congrats to Perceval Wajsbürt for this first paper! 6/6
Xavier Tannier retweeted
📄[DigitalEpidemiology] Do you want to find out how #socialmedia (#Twitter) can be leveraged to better understand the key concerns of people with #diabetes? Here is how, based on our new publication in #BMJOpenDiabetesResearchAndCare @bmj_latest drc.bmj.com/content/8/1/e001… [thread]👇
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Xavier Tannier retweeted
🔥🥳Excited to share my 1st paper : Insulin pricing and other major diabetes-related concerns in the USA: a study of 46 407 tweets between 2017 and 2019 published in @bmj_latest @BMJ_Open. Check it out ➡️ drc.bmj.com/cgi/content/full…
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Partage de simulations de modèles de diffusion qui illustrent bien problème & solution du #COVIDー19 . 1/5 : #diffusion libre - profil #exponentiel - avec #population en circulation libre & contact aléatoire non contrôlé, comme en #France avant jeudi 12/3. Src @washingtonpost
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