A general-purpose material property data extraction pipeline from large polymer corpora using natural language processing

The ever-increasing number of materials science articles makes it hard to infer chemistry-structure-property relations from literature. We used natural language processing methods to automatically extract material property data from the abstracts of polymer literature. As a component of our pipeline...

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Detalles Bibliográficos
Autores principales: Shetty, Pranav, Rajan, Arunkumar Chitteth, Kuenneth, Chris, Gupta, Sonakshi, Panchumarti, Lakshmi Prerana, Holm, Lauren, Zhang, Chao, Ramprasad, Rampi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10073792/
https://www.ncbi.nlm.nih.gov/pubmed/37033291
http://dx.doi.org/10.1038/s41524-023-01003-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10073792/
https://www.ncbi.nlm.nih.gov/pubmed/37033291
http://dx.doi.org/10.1038/s41524-023-01003-w

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