Lauriane Aufrant - applied researcher at Inria Defence & Security

I am currently the lead NLP researcher of Inria Defence & Security (Natural Language Processing, which is a subfield of Artificial Intelligence). I am mostly interested in information extraction in all its flavours (from named entity recognition to automatic knowledge graph construction), yet I believe that any research topic that would improve NLP's usefulness for our end-users is worth exploring. I am also a strong advocate for rationalizing good practices across the field (evaluation methodology, corpus annotation...) and for pursuing more consistency and clarity in NLP terms and concepts. In particular I am involved in ISO standardization and have Project Editor responsibilities at CEN-CENELEC, in relation with the upcoming AI Act.

Before coming to Inria I have spent 4 years at the DGA, the French government agency for defence procurement and defence-applied research funding. There I have worked on multiple topics in NLP (machine translation, information extraction, knowledge graphs, automatic summarization, speech recognition, language varieties & dialects...) and more generally AI (AI interpretability & explainability, attacks and defenses on AI (adversarial, poisoning, membership inference), data and model biases...).

Before going to the DGA I was a PhD student at LIMSI-CNRS, under the direction of François Yvon and Guillaume Wisniewski. My main research topics at the time were cross-lingual transfer, dependency parsing, and processing of the Romanian language.

Current research objectives

Various positions can be opened along those lines of research. If interested, contact me at

Professional activities





Non-academic position (no publication).




Technical reports