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A Study of Active Learning Methods for Named Entity Recognition in Clinical Text
OBJECTIVES: Named entity recognition (NER), a sequential labeling task, is one of the fundamental tasks for building clinical natural language processing (NLP) systems. Machine learning (ML) based approaches can achieve good performance, but they often require large amounts of annotated samples, whi...
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| Vydáno v: | J Biomed Inform |
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| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2015
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4934373/ https://ncbi.nlm.nih.gov/pubmed/26385377 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2015.09.010 |
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