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Precursor-induced conditional random fields: connecting separate entities by induction for improved clinical named entity recognition
BACKGROUND: This paper presents a conditional random fields (CRF) method that enables the capture of specific high-order label transition factors to improve clinical named entity recognition performance. Consecutive clinical entities in a sentence are usually separated from each other, and the textu...
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| Pubblicato in: | BMC Med Inform Decis Mak |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6632205/ https://ncbi.nlm.nih.gov/pubmed/31307440 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-019-0865-1 |
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