Hybrid curation of gene–mutation relations combining automated extraction and crowdsourcing

Background: This article describes capture of biological information using a hybrid approach that combines natural language processing to extract biological entities and crowdsourcing with annotators recruited via Amazon Mechanical Turk to judge correctness of candidate biological relations. These t...

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Detalles Bibliográficos
Autores principales: Burger, John D., Doughty, Emily, Khare, Ritu, Wei, Chih-Hsuan, Mishra, Rajashree, Aberdeen, John, Tresner-Kirsch, David, Wellner, Ben, Kann, Maricel G., Lu, Zhiyong, Hirschman, Lynette
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4170591/
https://www.ncbi.nlm.nih.gov/pubmed/25246425
http://dx.doi.org/10.1093/database/bau094

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4170591/
https://www.ncbi.nlm.nih.gov/pubmed/25246425
http://dx.doi.org/10.1093/database/bau094

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