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
Editors:
Mirella Lapata, Phil Blunsom, Alexander Koller
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
739–745
Language:
URL:
https://aclanthology.org/E17-2117
DOI:
Bibkey:
Cite (ACL):
Julien Tourille, Olivier Ferret, Xavier Tannier, and Aurélie Névéol. 2017. Temporal information extraction from clinical text. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 739–745, Valencia, Spain. Association for Computational Linguistics.
Cite (Informal):
Temporal information extraction from clinical text (Tourille et al., EACL 2017)
Copy Citation:
PDF:
https://aclanthology.org/E17-2117.pdf