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:
- 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-3/E17-2117.pdf