Visual Summary Identification From Scientific Publications via Self-Supervised Learning

The exponential growth of scientific literature yields the need to support users to both effectively and efficiently analyze and understand the some body of research work. This exploratory process can be facilitated by providing graphical abstracts–a visual summary of a scientific publication. Accor...

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Detalles Bibliográficos
Autores principales: Yamamoto, Shintaro, Lauscher, Anne, Ponzetto, Simone Paolo, Glavaš, Goran, Morishima, Shigeo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Research Metrics and Analytics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8418328/
https://www.ncbi.nlm.nih.gov/pubmed/34490413
http://dx.doi.org/10.3389/frma.2021.719004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8418328/
https://www.ncbi.nlm.nih.gov/pubmed/34490413
http://dx.doi.org/10.3389/frma.2021.719004

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