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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...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2008
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2586757/ https://www.ncbi.nlm.nih.gov/pubmed/19025694 http://dx.doi.org/10.1186/1471-2105-9-S11-S8 |