Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Factors that affect scientific publication in Africa—A gender perspective
por: Beaudry, Catherine, et al.
Publicado: (2023) -
From Tokenization to Self-Supervision: Building a High-Performance Information Extraction System for Chemical Reactions in Patents
por: Wang, Jingqi, et al.
Publicado: (2021) -
Weakly Supervised Learning for Categorization of Medical Inquiries for Customer Service Effectiveness
por: Singhal, Shikha, et al.
Publicado: (2021) -
The Essence and Transcendence of Scientific Publishing
por: Medina-Franco, José L., et al.
Publicado: (2022) -
The Scientific Impact Derived From the Disciplinary Profiles
por: Allik, Jüri, et al.
Publicado: (2020)