Search Results for author:
Found 4 papers, 0 papers with code
Extraction d’informations de messages aéronautiques (NOTAMs) avec des modèles de langue appris de façon auto-supervisée (Information extraction from aeronautical messages )
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.
Knowledge extraction from aeronautical messages (NOTAMs) with self-supervised language models for aircraft pilots
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.
Zero-shot cross-modal transfer of Reinforcement Learning policies through a Global Workspace
First, we train a 'Global Workspace' to exploit information collected about the environment via two input modalities (a visual input, or an attribute vector representing the state of the agent and/or its environment).
A question-answering system for aircraft pilots' documentation
The aerospace industry relies on massive collections of complex and technical documents covering system descriptions, manuals or procedures.
