A Natural Language Processing Pipeline to extract phenotypic data from formal taxonomic descriptions with a focus on flagellate plants
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 enhanced...
| Main Authors: | , , , , |
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| Format: | Conference Paper |
| Language: | Inglés |
| Published: |
2018
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/100813 |
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