Recognizing clinical entities in hospital discharge summaries using Structural Support Vector Machines with word representation features

BACKGROUND: Named entity recognition (NER) is an important task in clinical natural language processing (NLP) research. Machine learning (ML) based NER methods have shown good performance in recognizing entities in clinical text. Algorithms and features are two important factors that largely affect...

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Hauptverfasser: Tang, Buzhou, Cao, Hongxin, Wu, Yonghui, Jiang, Min, Xu, Hua
Format: Artigo
Sprache:Inglês
Veröffentlicht: BioMed Central 2013
Schlagworte:
Proceedings
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3618243/
https://ncbi.nlm.nih.gov/pubmed/23566040
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1472-6947-13-S1-S1
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