Articles | Volume 9, issue 1
https://doi.org/10.5194/soil-9-155-2023
https://doi.org/10.5194/soil-9-155-2023
Original research article
 | 
14 Mar 2023
Original research article |  | 14 Mar 2023

Potential of natural language processing for metadata extraction from environmental scientific publications

Guillaume Blanchy, Lukas Albrecht, John Koestel, and Sarah Garré

Related authors

Closing the phenotyping gap with non-invasive belowground field phenotyping
Guillaume Blanchy, Waldo Deroo, Tom De Swaef, Peter Lootens, Paul Quataert, Isabel Roldán-Ruíz, Roelof Versteeg, and Sarah Garré
SOIL, 11, 67–84, https://doi.org/10.5194/soil-11-67-2025,https://doi.org/10.5194/soil-11-67-2025, 2025
Short summary

Related subject area

Soils and water
The effect of groundwater depth on topsoil organic matter mineralization during a simulated dry summer in northwestern Europe
Astrid Françoys, Orly Mendoza, Junwei Hu, Pascal Boeckx, Wim Cornelis, Stefaan De Neve, and Steven Sleutel
SOIL, 11, 121–140, https://doi.org/10.5194/soil-11-121-2025,https://doi.org/10.5194/soil-11-121-2025, 2025
Short summary
Depth extrapolation of field-scale soil moisture time series derived with cosmic-ray neutron sensing (CRNS) using the soil moisture analytical relationship (SMAR) model
Daniel Rasche, Theresa Blume, and Andreas Güntner
SOIL, 10, 655–677, https://doi.org/10.5194/soil-10-655-2024,https://doi.org/10.5194/soil-10-655-2024, 2024
Short summary
Addressing soil data needs and data gaps in catchment-scale environmental modelling: the European perspective
Brigitta Szabó, Piroska Kassai, Svajunas Plunge, Attila Nemes, Péter Braun, Michael Strauch, Felix Witing, János Mészáros, and Natalja Čerkasova
SOIL, 10, 587–617, https://doi.org/10.5194/soil-10-587-2024,https://doi.org/10.5194/soil-10-587-2024, 2024
Short summary
Mapping near real-time soil moisture dynamics over Tasmania with transfer learning
Marliana Tri Widyastuti, José Padarian, Budiman Minasny, Mathew Webb, Muh Taufik, and Darren Kidd
EGUsphere, https://doi.org/10.5194/egusphere-2024-2253,https://doi.org/10.5194/egusphere-2024-2253, 2024
Short summary
Optimized fertilization using online soil nitrate data
Yonatan Yekutiel, Yuval Rotem, Shlomi Arnon, and Ofer Dahan
SOIL, 10, 335–347, https://doi.org/10.5194/soil-10-335-2024,https://doi.org/10.5194/soil-10-335-2024, 2024
Short summary

Cited articles

Angeli, G., Johnson Premkumar, M. J., and Manning, C. D.: Leveraging Linguistic Structure For Open Domain Information Extraction, in: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), Beijing, China, 344–354, https://doi.org/10.3115/v1/P15-1034, 2015. 
EJP SOIL – CLIMASOMA: CLIMASOMA – Final report Climate change adaptation through soil and crop management: Synthesis and ways forward, https://climasoma.curve.space/report (last access: 1 March 2023), 2022. 
Furey, J., Davis, A., and Seiter-Moser, J.: Natural language indexing for pedoinformatics, Geoderma, 334, 49–54, https://doi.org/10.1016/j.geoderma.2018.07.050, 2019. 
Haddaway, N. R., Callaghan, M. W., Collins, A. M., Lamb, W. F., Minx, J. C., Thomas, J., and John, D.: On the use of computer-assistance to facilitate systematic mapping, Campbell Systematic Reviews, 16, e1129, https://doi.org/10.1002/cl2.1129, 2020. 
Download
Short summary
Adapting agricultural practices to future climatic conditions requires us to synthesize the effects of management practices on soil properties with respect to local soil and climate. We showcase different automated text-processing methods to identify topics, extract metadata for building a database and summarize findings from publication abstracts. While human intervention remains essential, these methods show great potential to support evidence synthesis from large numbers of publications.
Share