NERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding

Machine reading (MR) is essential for unlocking valuable knowledge contained in millions of existing biomedical documents. Over the last two decades(1,2), the most dramatic advances in MR have followed in the wake of critical corpus development(3). Large, well-annotated corpora have been associated...

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Detalles Bibliográficos
Autores principales: Wang, Kanix, Stevens, Robert, Alachram, Halima, Li, Yu, Soldatova, Larisa, King, Ross, Ananiadou, Sophia, Schoene, Annika M., Li, Maolin, Christopoulou, Fenia, Ambite, José Luis, Matthew, Joel, Garg, Sahil, Hermjakob, Ulf, Marcu, Daniel, Sheng, Emily, Beißbarth, Tim, Wingender, Edgar, Galstyan, Aram, Gao, Xin, Chambers, Brendan, Pan, Weidi, Khomtchouk, Bohdan B., Evans, James A., Rzhetsky, Andrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528865/
https://www.ncbi.nlm.nih.gov/pubmed/34671039
http://dx.doi.org/10.1038/s41540-021-00200-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528865/
https://www.ncbi.nlm.nih.gov/pubmed/34671039
http://dx.doi.org/10.1038/s41540-021-00200-x

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