LIMSI-COT at SemEval-2017 Task 12: Neural Architecture for Temporal Information Extraction from Clinical Narratives

Julien Tourille, Olivier Ferret, Xavier Tannier, Aurélie Névéol


Abstract
In this paper we present our participation to SemEval 2017 Task 12. We used a neural network based approach for entity and temporal relation extraction, and experimented with two domain adaptation strategies. We achieved competitive performance for both tasks.
Anthology ID:
S17-2098
Volume:
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
Month:
August
Year:
2017
Address:
Vancouver, Canada
Editors:
Steven Bethard, Marine Carpuat, Marianna Apidianaki, Saif M. Mohammad, Daniel Cer, David Jurgens
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
597–602
Language:
URL:
https://aclanthology.org/S17-2098
DOI:
10.18653/v1/S17-2098
Bibkey:
Cite (ACL):
Julien Tourille, Olivier Ferret, Xavier Tannier, and Aurélie Névéol. 2017. LIMSI-COT at SemEval-2017 Task 12: Neural Architecture for Temporal Information Extraction from Clinical Narratives. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pages 597–602, Vancouver, Canada. Association for Computational Linguistics.
Cite (Informal):
LIMSI-COT at SemEval-2017 Task 12: Neural Architecture for Temporal Information Extraction from Clinical Narratives (Tourille et al., SemEval 2017)
Copy Citation:
PDF:
https://aclanthology.org/S17-2098.pdf