Toward Machine-learning-based Metastudies: Applications to Cosmological Parameters

Toward Machine-learning-based Metastudies: Applications to Cosmological Parameters

We develop a new model for automatic extraction of reported measurement values from the astrophysical literature, utilizing modern natural language processing techniques. We use this model to extract measurements present in the abstracts of the approximately 248,000 astrophysics articles from the ar...

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Bibliographic Details
Main Authors: Tom Crossland, Pontus Stenetorp, Daisuke Kawata, Sebastian Riedel, Thomas D. Kitching, Anurag Deshpande, Tom Kimpson, Choong Ling Liew-Cain, Christian Pedersen, Davide Piras, Monu Sharma
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:The Astrophysical Journal Supplement Series
Subjects:
Astronomy data analysis
Cosmological parameters
Astronomy databases
Online Access:https://doi.org/10.3847/1538-4365/acf76a

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