Recognition of protein/gene names from text using an ensemble of classifiers
This paper proposes an ensemble of classifiers for biomedical name recognition in which three classifiers, one Support Vector Machine and two discriminative Hidden Markov Models, are combined effectively using a simple majority voting strategy. In addition, we incorporate three post-processing modul...
| Main Authors: | , , , , |
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| Format: | Online |
| Language: | English |
| Published: |
BioMed Central
2005
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1869021/ |