Cargando…
A Pilot Study of Biomedical Text Comprehension using an Attention-Based Deep Neural Reader: Design and Experimental Analysis
BACKGROUND: With the development of artificial intelligence (AI) technology centered on deep-learning, the computer has evolved to a point where it can read a given text and answer a question based on the context of the text. Such a specific task is known as the task of machine comprehension. Existi...
Autores principales: | Kim, Seongsoon, Park, Donghyeon, Choi, Yonghwa, Lee, Kyubum, Kim, Byounggun, Jeon, Minji, Kim, Jihye, Tan, Aik Choon, Kang, Jaewoo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5783222/ https://www.ncbi.nlm.nih.gov/pubmed/29305341 http://dx.doi.org/10.2196/medinform.8751 |
Ejemplares similares
-
BEST: Next-Generation Biomedical Entity Search Tool for Knowledge Discovery from Biomedical Literature
por: Lee, Sunwon, et al.
Publicado: (2016) -
Deep learning of mutation-gene-drug relations from the literature
por: Lee, Kyubum, et al.
Publicado: (2018) -
BOSS: context-enhanced search for biomedical objects
por: Choi, Jaehoon, et al.
Publicado: (2012) -
BERN2: an advanced neural biomedical named entity recognition and normalization tool
por: Sung, Mujeen, et al.
Publicado: (2022) -
BRONCO: Biomedical entity Relation ONcology COrpus for extracting gene-variant-disease-drug relations
por: Lee, Kyubum, et al.
Publicado: (2016)