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Imitating Manual Curation of Text-Mined Facts in Biomedicine
Text-mining algorithms make mistakes in extracting facts from natural-language texts. In biomedical applications, which rely on use of text-mined data, it is critical to assess the quality (the probability that the message is correctly extracted) of individual facts—to resolve data conflicts and inc...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2006
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1560402/ https://www.ncbi.nlm.nih.gov/pubmed/16965176 http://dx.doi.org/10.1371/journal.pcbi.0020118 |