Knowledge extraction from aeronautical messages (NOTAMs) with self-supervised language models for aircraft pilots

no code implementations • NAACL (ACL) 2022 • Alexandre Arnold, Fares Ernez, Catherine Kobus, Marion-Cécile Martin

During their pre-flight briefings, aircraft pilots must analyse a long list of NoTAMs (NOtice To AirMen) indicating potential hazards along the flight route, sometimes up to pages for long-haul flights.

named-entity-recognition Named Entity Recognition +1

Extraction d’informations de messages aéronautiques (NOTAMs) avec des modèles de langue appris de façon auto-supervisée (Information extraction from aeronautical messages )

no code implementations • JEP/TALN/RECITAL 2022 • Alexandre Arnold, Fares Ernez, Catherine Kobus, Marion-Cécile Martin

Avant un vol, les pilotes de ligne doivent lire une longue liste de messages appelés NOTAM (pour NOtice To AirMen) donnant des informations sur des aléas potentiels le long du vol.

Surrogate Neural Networks Local Stability for Aircraft Predictive Maintenance

no code implementations • 11 Jan 2024 • Mélanie Ducoffe, Guillaume Povéda, Audrey Galametz, Ryma Boumazouza, Marion-Cécile Martin, Julien Baris, Derk Daverschot, Eugene O'Higgins

Surrogate Neural Networks (NN) now routinely serve as substitutes for computationally demanding simulations (e. g., finite element).