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...

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Detalles Bibliográficos
Autores principales: Espinosa, Kurt, Georgiadis, Panagiotis, Christopoulou, Fenia, Ju, Meizhi, Miwa, Makoto, Ananiadou, Sophia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
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

Internet

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

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