Rezarta Islamaj Dogan

Also published as: Rezarta Islamaj Doğan


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BioCreative VI Precision Medicine Track: creating a training corpus for mining protein-protein interactions affected by mutations
Rezarta Islamaj Doğan | Andrew Chatr-aryamontri | Sun Kim | Chih-Hsuan Wei | Yifan Peng | Donald Comeau | Zhiyong Lu
BioNLP 2017

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.


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PubTermVariants: biomedical term variants and their use for PubMed search
Lana Yeganova | Won Kim | Sun Kim | Rezarta Islamaj Doğan | Wanli Liu | Donald C Comeau | Zhiyong Lu | W John Wilbur
Proceedings of the 15th Workshop on Biomedical Natural Language Processing


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BioNLP Shared Task 2013: Supporting Resources
Pontus Stenetorp | Wiktoria Golik | Thierry Hamon | Donald C. Comeau | Rezarta Islamaj Doğan | Haibin Liu | W. John Wilbur
Proceedings of the BioNLP Shared Task 2013 Workshop


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An improved corpus of disease mentions in PubMed citations
Rezarta Islamaj Doğan | Zhiyong Lu
BioNLP: Proceedings of the 2012 Workshop on Biomedical Natural Language Processing