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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...
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| Main Authors: | , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
BioMed Central
2008
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2586753/ https://ncbi.nlm.nih.gov/pubmed/19025690 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-9-S11-S4 |
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