Cargando…
Question-driven summarization of answers to consumer health questions
Automatic summarization of natural language is a widely studied area in computer science, one that is broadly applicable to anyone who needs to understand large quantities of information. In the medical domain, automatic summarization has the potential to make health information more accessible to p...
Autores principales: | Savery, Max, Abacha, Asma Ben, Gayen, Soumya, Demner-Fushman, Dina |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7532186/ https://www.ncbi.nlm.nih.gov/pubmed/33009402 http://dx.doi.org/10.1038/s41597-020-00667-z |
Ejemplares similares
-
A dataset of clinically generated visual questions and answers about radiology images
por: Lau, Jason J., et al.
Publicado: (2018) -
A question-entailment approach to question answering
por: Ben Abacha, Asma, et al.
Publicado: (2019) -
Automatic question answering for multiple stakeholders, the epidemic question answering dataset
por: Goodwin, Travis R., et al.
Publicado: (2022) -
A dataset for medical instructional video classification and question answering
por: Gupta, Deepak, et al.
Publicado: (2023) -
CHQ- SocioEmo: Identifying Social and Emotional Support Needs in Consumer-Health Questions
por: Alasmari, Ashwag, et al.
Publicado: (2023)