Imitating Manual Curation of Text-Mined Facts in Biomedicine
Imitating Manual Curation of Text-Mined Facts in Biomedicine
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United States: Public Library of Science
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English
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United States: Public Library of Science
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Contents
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 inconsistencies. Using a large set of almost 100,000...
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Imitating Manual Curation of Text-Mined Facts in Biomedicine
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TN_cdi_plos_journals_1314502805
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1314502805
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ISSN
1553-7358,1553-734X
E-ISSN
1553-7358
DOI
10.1371/journal.pcbi.0020118