  This paper reports on Qwant Research contribution to tasks 2 and 3 of the
DEFT 2019's challenge, focusing on French clinical cases analysis. Task 2 is a
task on semantic similarity between clinical cases and discussions. For this
task, we propose an approach based on language models and evaluate the impact
on the results of different preprocessings and matching techniques. For task 3,
we have developed an information extraction system yielding very encouraging
results accuracy-wise. We have experimented two different approaches, one based
on the exclusive use of neural networks, the other based on a linguistic
analysis.
