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

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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
Venues:: SemEval | *SEM
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-*SEM 2016)
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PDF:: https://preview.aclanthology.org/ingestion-script-update/S16-1197.pdf