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- W2740781568 abstract "The Precision Medicine Track in BioCre-ative VI aims to bring together the Bi-oNLP community for a novel challenge focused on mining the biomedical litera-ture in search of mutations and protein-protein interactions (PPI). In order to support this track with an effective train-ing dataset with limited curator time, the track organizers carefully reviewed Pub-Med articles from two different sources: curated public PPI databases, and the re-sults of state-of-the-art public text mining tools. We detail here the data collection, manual review and annotation process and describe this training corpus charac-teristics. We also describe a corpus per-formance baseline. This analysis will provide useful information to developers and researchers for comparing and devel-oping innovative text mining approaches for the BioCreative VI challenge and other Precision Medicine related applica-tions." @default.
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- W2740781568 date "2017-01-01" @default.
- W2740781568 modified "2023-09-22" @default.
- W2740781568 title "BioCreative VI Precision Medicine Track: creating a training corpus for mining protein-protein interactions affected by mutations" @default.
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- W2740781568 doi "https://doi.org/10.18653/v1/w17-2321" @default.
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