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
- 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/S17-2098.pdf