Improving long COVID-related text classification: a novel end-to-end domain-adaptive paraphrasing framework
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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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
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Somayajula, Sai Ashish
Litake, Onkar
Liang, Youwei
Hosseini, Ramtin
Nemati, Shamim
Wilson, David O.
Weinreb, Robert N.
Malhotra, Atul
Xie, Pengtao
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41598-023-48594-4
- URN
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urn:nbn:de:101:1-2024031409134361087401
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 11:04 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
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)