Looking through glass: Knowledge discovery from materials science literature using natural language processing

Most of the knowledge in materials science literature is in the form of unstructured data such as text and images. Here, we present a framework employing natural language processing, which automates text and image comprehension and precision knowledge extraction from inorganic glasses’ literature. T...

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Detalles Bibliográficos
Autores principales: Venugopal, Vineeth, Sahoo, Sourav, Zaki, Mohd, Agarwal, Manish, Gosvami, Nitya Nand, Krishnan, N. M. Anoop
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8276010/
https://www.ncbi.nlm.nih.gov/pubmed/34286304
http://dx.doi.org/10.1016/j.patter.2021.100290

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8276010/
https://www.ncbi.nlm.nih.gov/pubmed/34286304
http://dx.doi.org/10.1016/j.patter.2021.100290

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