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INTRINSIC EVALUATION OF TEXT MINING TOOLS MAY NOT PREDICT PERFORMANCE ON REALISTIC TASKS

Biomedical text mining and other automated techniques are beginning to achieve performance which suggests that they could be applied to aid database curators. However, few studies have evaluated how these systems might work in practice. In this article we focus on the problem of annotating mutations...

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Hlavní autoři: CAPORASO, J. GREGORY, DESHPANDE, NITA, FINK, J. LYNN, BOURNE, PHILIP E., COHEN, K. BRETONNEL, HUNTER, LAWRENCE
Médium: Artigo
Jazyk:Inglês
Vydáno: 2008
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC2517250/
https://ncbi.nlm.nih.gov/pubmed/18229722
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