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

Julien Tourille, Olivier Ferret, Xavier Tannier, Aurélie Névéol

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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)
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PDF:
https://preview.aclanthology.org/teach-a-man-to-fish/S17-2098.pdf
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