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An active learning-enabled annotation system for clinical named entity recognition
BACKGROUND: Active learning (AL) has shown the promising potential to minimize the annotation cost while maximizing the performance in building statistical natural language processing (NLP) models. However, very few studies have investigated AL in a real-life setting in medical domain. METHODS: In t...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | BMC Med Inform Decis Mak |
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| Κύριοι συγγραφείς: | , , , , , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
BioMed Central
2017
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5506567/ https://ncbi.nlm.nih.gov/pubmed/28699546 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-017-0466-9 |
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