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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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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2013
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| Soggetti: | |
| Accesso online: | 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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