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Thesaurus-based word embeddings for automated biomedical literature classification
The special nature, volume and broadness of biomedical literature pose barriers for automated classification methods. On the other hand, manually indexing is time-consuming, costly and error prone. We argue that current word embedding algorithms can be efficiently used to support the task of biomedi...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer London
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8111057/ https://www.ncbi.nlm.nih.gov/pubmed/33994670 http://dx.doi.org/10.1007/s00521-021-06053-z |