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Accelerating the annotation of sparse named entities by dynamic sentence selection
BACKGROUND: Previous studies of named entity recognition have shown that a reasonable level of recognition accuracy can be achieved by using machine learning models such as conditional random fields or support vector machines. However, the lack of training data (i.e. annotated corpora) makes it diff...
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| Main Authors: | , , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
BioMed Central
2008
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2586757/ https://ncbi.nlm.nih.gov/pubmed/19025694 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-9-S11-S8 |
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