Damien Nouvel

Damien Nouvel is an Associate Professor at INALCO (Institut National des Langues et Civilisations Orientales) in Paris, France, where he has been working since September 2014. He serves as the director of the ERTIM research team and holds the position of Deputy Director of the TIM Department (TAL Bachelor's and Master's programs). His academic focus lies within the Department of Natural Language Processing, where he teaches courses from L2 to M2 levels and supervises doctoral candidates and Master's dissertations.

• PhD from François Rabelais Tours University (defended November 2012)
• Postdoctoral fellow at LIMSI-CNRS (Université Paris-Sud 11), 2013/2014
• Research engineer at Alpage (INRIA), 2012/2013
• Doctoral student at François Rabelais Tours University, 2009-2012

Damien Nouvel's research centers on Natural Language Processing with particular emphasis on mathematical models and multilingualism, especially for under-resourced languages taught at INALCO including Quechua, Arabic, Bambara, and Chinese. His work spans multiple areas including named entity recognition, transliteration, lexical disambiguation, opinion analysis, and textometric analysis. He has developed specialized systems like mXS for automatic annotation using data mining techniques. His recent research has expanded to social media analysis, conspiracy discourse, and low-resource language processing, demonstrating both theoretical depth and practical application.

Analyzing his publication trends from 2022-2025 reveals a strong focus on multilingual NLP systems, particularly for low-resource languages. His work consistently bridges theoretical computational linguistics with practical applications, with increasing emphasis on transformer models, social media analysis, and cross-lingual resource development. The publications show progression from foundational NER work to more complex multilingual systems capable of handling diverse languages including Farsi, Chinese, Armenian, and Urdu.

Damien Nouvel actively supervises doctoral students and Master's dissertations while managing significant research projects. His team ERTIM participates in major evaluation campaigns like SemEval, demonstrating practical application of their research. His work spans multiple domains from speech processing to social media analysis, showing adaptability and relevance to contemporary language processing challenges.

As director of the ERTIM research team since 2020, Nouvel leads a group focused on natural language processing with special attention to under-resourced languages. The team works on diverse projects including language modeling, named entity recognition across multiple languages, social media analysis, and resource creation for languages with limited digital presence. Their work combines symbolic approaches with modern machine learning techniques to address the challenges of processing diverse linguistic systems.