Neural Architecture for Temporal Relation Extraction: A Bi-LSTM Approach for Detecting Narrative Containers
2017-07-01ACL 2017Unverified0· sign in to hype
Julien Tourille, Olivier Ferret, Aur{\'e}lie N{\'e}v{\'e}ol, Xavier Tannier
Unverified — Be the first to reproduce this paper.
ReproduceAbstract
We present a neural architecture for containment relation identification between medical events and/or temporal expressions. We experiment on a corpus of de-identified clinical notes in English from the Mayo Clinic, namely the THYME corpus. Our model achieves an F-measure of 0.613 and outperforms the best result reported on this corpus to date.