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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Bibliographic Details
Main Authors: Shintaro Yamamoto, Anne Lauscher, Simone Paolo Ponzetto, Goran Glavaš, Shigeo Morishima
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Research Metrics and Analytics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frma.2021.719004/full