UTA DLNLP at SemEval-2016 Task 12: Deep Learning Based Natural Language Processing System for Clinical Information Identification from Clinical Notes and Pathology Reports

Peng Li, Heng Huang


Anthology ID:
S16-1197
Volume:
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
Month:
June
Year:
2016
Address:
San Diego, California
Editors:
Steven Bethard, Marine Carpuat, Daniel Cer, David Jurgens, Preslav Nakov, Torsten Zesch
Venue:
SemEval
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
1268–1273
Language:
URL:
https://aclanthology.org/S16-1197
DOI:
10.18653/v1/S16-1197
Bibkey:
Cite (ACL):
Peng Li and Heng Huang. 2016. UTA DLNLP at SemEval-2016 Task 12: Deep Learning Based Natural Language Processing System for Clinical Information Identification from Clinical Notes and Pathology Reports. In Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), pages 1268–1273, San Diego, California. Association for Computational Linguistics.
Cite (Informal):
UTA DLNLP at SemEval-2016 Task 12: Deep Learning Based Natural Language Processing System for Clinical Information Identification from Clinical Notes and Pathology Reports (Li & Huang, SemEval 2016)
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PDF:
https://aclanthology.org/S16-1197.pdf