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Do syntactic trees enhance Bidirectional Encoder Representations from Transformers (BERT) models for chemical–drug relation extraction?
Collecting relations between chemicals and drugs is crucial in biomedical research. The pre-trained transformer model, e.g. Bidirectional Encoder Representations from Transformers (BERT), is shown to have limitations on biomedical texts; more specifically, the lack of annotated data makes relation e...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9408061/ https://www.ncbi.nlm.nih.gov/pubmed/36006843 http://dx.doi.org/10.1093/database/baac070 |