My main interest is in multilingual Natural Language Processing jointly with Deep Learning for Information Retrieval.
I focus on modeling context for several fields of NLP: semantic content analysis and modeling, machine translation, Intent Detection in real-life application at scale.
Since years I'm giving NLP courses to master or engineer students for instance:
- EPITA - International Programm (2019)
- Polytech Grenoble - MOSIG - International Programm (2016)
... and many other computer science courses such like programming, databases, etc.
I am Research Manager at Qwant, Deputy Director of the QWANT-INRIA lab, head of the NLP team at QWANT.
I'm also part of the 3IA Nice côte d'Azur board and member of the board of French scientific associations:
- ATALA (French NLP association)
- CORIA (French IR association)
NLP Research Scientist and Manager at QWANT since 2017. Deputy director of the INRIA-QWANT Lab since 2018.
Before joining Qwant, he was applied researcher at SYSTRAN to work on domain adaptation for NMT (2016-2017), member of the GETALP team at the University of Grenoble to develop Deep Learning approaches for SMT evaluation (2015-2016), part of the Xerox Research Centre Europe (XRCE) in the Machine Learning for Document Access and Translation (MLDAT) group (2013-2015), postdoc researcher in the Speech and Language Technology group at the laboratory of the University of Le Mans, France (LIUM), research engineer at the Vision & Content Engineering Laboratory at the CEA LIST (2009-2010).
He received a PhD in Computer Science from the University of Avignon, France in 2008.
- Valentin Macé and Christophe Servan. Using Whole Document Context in Neural Machine Translation. In the 16th International Workshop on Spoken Language Translation (IWSLT’19), Hong-Kong, China, November 2019.
- Estelle Maudet, Oralie Cattan, Maureen De Seyssel, and Christophe Servan. QWANT Research @DEFT 2019: Document matching and information retrieval using clinical cases. In Atelier Défi Fouilles de Texte 2019, TOULOUSE, France, July 2019.
- Maxime Portaz, Hicham Randrianarivo, Adrien Nivaggioli, Estelle Maudet, Christophe Servan, and Sylvain Peyronnet. Image search using multilingual texts: a cross-modal learning approach between image and text. In ArXiv, 2019.
Last updated on 2019-10-12