Temporal information extraction from clinical text

Julien Tourille, Olivier Ferret, Xavier Tannier, Aurélie Névéol


Abstract
In this paper, we present a method for temporal relation extraction from clinical narratives in French and in English. We experiment on two comparable corpora, the MERLOT corpus and the THYME corpus, and show that a common approach can be used for both languages.
Anthology ID:
E17-2117
Volume:
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
Month:
April
Year:
2017
Address:
Valencia, Spain
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
739–745
Language:
URL:
https://www.aclweb.org/anthology/E17-2117
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/E17-2117.pdf