Integrating heterogeneous knowledge graphs into drug–drug interaction extraction from the literature

MOTIVATION: Most of the conventional deep neural network-based methods for drug–drug interaction (DDI) extraction consider only context information around drug mentions in the text. However, human experts use heterogeneous background knowledge about drugs to comprehend pharmaceutical papers and extr...

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Detalles Bibliográficos
Autores principales: Asada, Masaki, Miwa, Makoto, Sasaki, Yutaka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805562/
https://www.ncbi.nlm.nih.gov/pubmed/36416141
http://dx.doi.org/10.1093/bioinformatics/btac754

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805562/
https://www.ncbi.nlm.nih.gov/pubmed/36416141
http://dx.doi.org/10.1093/bioinformatics/btac754

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