  The aerospace industry relies on massive collections of complex and technical
documents covering system descriptions, manuals or procedures. This paper
presents a question answering (QA) system that would help aircraft pilots
access information in this documentation by naturally interacting with the
system and asking questions in natural language. After describing each module
of the dialog system, we present a multi-task based approach for the QA module
which enables performance improvement on a Flight Crew Operating Manual (FCOM)
dataset. A method to combine scores from the retriever and the QA modules is
also presented.
