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A hybrid system for temporal information extraction from clinical text

OBJECTIVE: To develop a comprehensive temporal information extraction system that can identify events, temporal expressions, and their temporal relations in clinical text. This project was part of the 2012 i2b2 clinical natural language processing (NLP) challenge on temporal information extraction....

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Détails bibliographiques
Auteurs principaux: Tang, Buzhou, Wu, Yonghui, Jiang, Min, Chen, Yukun, Denny, Joshua C, Xu, Hua
Format: Artigo
Langue:Inglês
Publié: BMJ Publishing Group 2013
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC3756274/
https://ncbi.nlm.nih.gov/pubmed/23571849
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2013-001635
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