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?:abstract
  • The new pandemic disease caused by COVID-19 virus is the crucial event over the world in the beginning of 2020 Studies on corona viruses have been however carried since several decades ago, with recent research papers published on weekly basis We demonstrate a simple approach to explore CORD-19 dataset to provide a high level overview of important semantic changes that occurred over time Our method aims to support better understanding of large domain-specific collections of scholarly publications that span long time periods and could be regarded as complementary to frequencybased analysis © 2020 ACM ISBN
is ?:annotates of
?:creator
?:journal
  • 2020_ACM/IEEE-CS_Joint_Conference_on_Digital_Libraries,_JCDL_2020
?:license
  • unk
?:publication_isRelatedTo_Disease
is ?:relation_isRelatedTo_publication of
?:source
  • WHO
?:title
  • Temporal summarization of scholarly paper collections by semantic change estimation: Case study of cord-19 dataset
?:type
?:who_covidence_id
  • #916310
?:year
  • 2020

Metadata

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