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Comparing neural models for nested and overlapping biomedical event detection
BACKGROUND: Nested and overlapping events are particularly frequent and informative structures in biomedical event extraction. However, state-of-the-art neural models either neglect those structures during learning or use syntactic features and external tools to detect them. To overcome these limita...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9161617/ https://www.ncbi.nlm.nih.gov/pubmed/35655127 http://dx.doi.org/10.1186/s12859-022-04746-3 |