Environmental due diligence data: A novel corpus for training environmental domain NLP models

This article takes a step in the direction of adapting existing Natural Language Processing (NLP) models to diverse and heterogeneous settings of Environmental Due Diligence (EDD). The approach we followed was to enrich the vocabulary of deep learning models with more data from environmental domain...

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Detalles Bibliográficos
Autores principales: Aman, Afreen, Reji, Deepak John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9486029/
https://www.ncbi.nlm.nih.gov/pubmed/36148216
http://dx.doi.org/10.1016/j.dib.2022.108579

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9486029/
https://www.ncbi.nlm.nih.gov/pubmed/36148216
http://dx.doi.org/10.1016/j.dib.2022.108579

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