kth.sePublications KTH
EnglishSvenskaNorsk
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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
Semantic re-tuning with contrastive tension
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Software and Computer systems, SCS.ORCID iD: 0000-0002-9162-6433
Show others and affiliations
2021 (English)In: International Conference on Learning Representations, 2021, 2021Conference paper, Poster (with or without abstract) (Refereed)
Place, publisher, year, edition, pages
2021.
National Category
Natural Language Processing
Identifiers
URN: urn:nbn:se:kth:diva-354948OAI: oai:DiVA.org:kth-354948DiVA, id: diva2:1906550
Conference
International Conference on Learning Representations, 2021, Vienna, Austria, May 04 2021
Note

QC 20241018

Available from: 2024-10-17 Created: 2024-10-17 Last updated: 2025-02-07Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records

Gogoulou, Evangelia

Search in DiVA

By author/editor
Gogoulou, Evangelia
By organisation
Software and Computer systems, SCS
Natural Language Processing

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 47 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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. 2.47.0
|
WCAG
|
KTH Library
|
DiVA support
|
Register in DiVA
|
Posting your thesis
|
SwePub
|
About Open Access