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BioVAE: a pre-trained latent variable language model for biomedical text mining
SUMMARY: Large-scale pre-trained language models (PLMs) have advanced state-of-the-art (SOTA) performance on various biomedical text mining tasks. The power of such PLMs can be combined with the advantages of deep generative models. These are examples of these combinations. However, they are trained...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756089/ https://www.ncbi.nlm.nih.gov/pubmed/34636886 http://dx.doi.org/10.1093/bioinformatics/btab702 |