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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| 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 |