Simulation and annotation of global acronyms

MOTIVATION: Global acronyms are used in written text without their formal definitions. This makes it difficult to automatically interpret their sense as acronyms tend to be ambiguous. Supervised machine learning approaches to sense disambiguation require large training datasets. In clinical applicat...

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Detalles Bibliográficos
Autores principales: Filimonov, Maxim, Chopard, Daphné, Spasić, Irena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9154234/
https://www.ncbi.nlm.nih.gov/pubmed/35482480
http://dx.doi.org/10.1093/bioinformatics/btac298

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9154234/
https://www.ncbi.nlm.nih.gov/pubmed/35482480
http://dx.doi.org/10.1093/bioinformatics/btac298

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