liu.seSearch for publications in DiVA
EnglishSvenskaNorsk
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Research on unsupervised named entity recognition based on a cross  language pretrained model
Linköping University, Department of Computer and Information Science.
2022 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2022. , p. 35
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:liu:diva-183800ISRN: LIU-IDA/LITH-EX-A--22/010--SEOAI: oai:DiVA.org:liu-183800DiVA, id: diva2:1646212
Available from: 2022-07-09 Created: 2022-03-21 Last updated: 2022-07-09Bibliographically approved

Open Access in DiVA

No full text in DiVA

By organisation
Department of Computer and Information Science
Other Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 155 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
v. 2.45.0
|
Accessibility
|
DiVA portal
|
DiVA Log in
|
Contact us
|
LiU University Library
|
SwePub
|
Uppsök