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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
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| Materias: | |
| 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 |