Assembling large-scale phenotypic datasets for evolutionary and biodiversity studies of plants can be extremely difficult and time consuming. New semi-automated Natural Language Processing (NLP) pipelines can extract phenotypic data from taxonomic descriptions, and their performance can be enhanc...
Enlace original:
https://cgspace.cgiar.org/handle/10568/100813
Endara L.
,
Burleigh G.
,
Cooper L.
,
Jaiswal, P.
,
Laporte, M-A.
,
[A Natural Language Processing Pipeline to extract phenotypic data from formal taxonomic descriptions with a focus on flagellate plants]
,
A Natural Language Processing Pipeline to extract phenotypic data from formal taxonomic descriptions with a focus on flagellate plants
