Improving long COVID-related text classification: a novel end-to-end domain-adaptive paraphrasing framework

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
1 Online-Ressource.
Language
Englisch

Bibliographic citation
Improving long COVID-related text classification: a novel end-to-end domain-adaptive paraphrasing framework ; volume:14 ; number:1 ; day:2 ; month:1 ; year:2024 ; pages:1-14 ; date:12.2024
Scientific reports ; 14, Heft 1 (2.1.2024), 1-14, 12.2024

Creator
Somayajula, Sai Ashish
Litake, Onkar
Liang, Youwei
Hosseini, Ramtin
Nemati, Shamim
Wilson, David O.
Weinreb, Robert N.
Malhotra, Atul
Xie, Pengtao
Contributor
SpringerLink (Online service)

DOI
10.1038/s41598-023-48594-4
URN
urn:nbn:de:101:1-2024031409134361087401
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 11:04 AM CEST

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Associated

  • Somayajula, Sai Ashish
  • Litake, Onkar
  • Liang, Youwei
  • Hosseini, Ramtin
  • Nemati, Shamim
  • Wilson, David O.
  • Weinreb, Robert N.
  • Malhotra, Atul
  • Xie, Pengtao
  • SpringerLink (Online service)

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