Child-Sum EATree-LSTMs: enhanced attentive Child-Sum Tree-LSTMs for biomedical event extraction

BACKGROUND: Tree-structured neural networks have shown promise in extracting lexical representations of sentence syntactic structures, particularly in the detection of event triggers using recursive neural networks. METHODS: In this study, we introduce an attention mechanism into Child-Sum Tree-LSTM...

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Detalles Bibliográficos
Autores principales: Wang, Lei, Cao, Han, Yuan, Liu, Guo, Xiaoxu, Cui, Yachao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10268412/
https://www.ncbi.nlm.nih.gov/pubmed/37322443
http://dx.doi.org/10.1186/s12859-023-05336-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10268412/
https://www.ncbi.nlm.nih.gov/pubmed/37322443
http://dx.doi.org/10.1186/s12859-023-05336-7

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