Cargando…
BioADAPT-MRC: adversarial learning-based domain adaptation improves biomedical machine reading comprehension task
MOTIVATION: Biomedical machine reading comprehension (biomedical-MRC) aims to comprehend complex biomedical narratives and assist healthcare professionals in retrieving information from them. The high performance of modern neural network-based MRC systems depends on high-quality, large-scale, human-...
Autores principales: | Mahbub, Maria, Srinivasan, Sudarshan, Begoli, Edmon, Peterson, Gregory D |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9477526/ https://www.ncbi.nlm.nih.gov/pubmed/35876792 http://dx.doi.org/10.1093/bioinformatics/btac508 |
Ejemplares similares
-
Unstructured clinical notes within the 24 hours since admission predict short, mid & long-term mortality in adult ICU patients
por: Mahbub, Maria, et al.
Publicado: (2022) -
sciCAN: single-cell chromatin accessibility and gene expression data integration via cycle-consistent adversarial network
por: Xu, Yang, et al.
Publicado: (2022) -
ExpMRC: explainability evaluation for machine reading comprehension
por: Cui, Yiming, et al.
Publicado: (2022) -
Semi-supervised adversarial discriminative domain adaptation
por: Nguyen, Thai-Vu, et al.
Publicado: (2022) -
Simultaneously Improve Transferability and Discriminability for Adversarial Domain Adaptation
por: Xiao, Ting, et al.
Publicado: (2021)