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Cascaded classifiers for confidence-based chemical named entity recognition
BACKGROUND: Chemical named entities represent an important facet of biomedical text. RESULTS: We have developed a system to use character-based n-grams, Maximum Entropy Markov Models and rescoring to recognise chemical names and other such entities, and to make confidence estimates for the extracted...
| 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/PMC2586753/ https://www.ncbi.nlm.nih.gov/pubmed/19025690 http://dx.doi.org/10.1186/1471-2105-9-S11-S4 |