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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
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 |
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