Supporting the curation of biological databases with reusable text mining.
Curators of biological databases transfer knowledge from scientific publications, a laborious and expensive manual process. Machine learning algorithms can reduce the workload of curators by filtering relevant biomedical literature, though their widespread adoption will depend on the availability of...
Main Authors: | , , |
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Format: | Journal article |
Language: | English |
Published: |
2005
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