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BatteryBERT: A Pretrained Language Model for Battery Database Enhancement

[Image: see text] A great number of scientific papers are published every year in the field of battery research, which forms a huge textual data source. However, it is difficult to explore and retrieve useful information efficiently from these large unstructured sets of text. The Bidirectional Encod...

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Detalles Bibliográficos
Autores principales: Huang, Shu, Cole, Jacqueline M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795558/
https://www.ncbi.nlm.nih.gov/pubmed/35533012
http://dx.doi.org/10.1021/acs.jcim.2c00035