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Reducing Unintended bias in Text Classification using Multitask learning.
Blekinge Institute of Technology.
Blekinge Institute of Technology.
2021 (English)Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2021.
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-21174OAI: oai:DiVA.org:bth-21174DiVA, id: diva2:1534152
Subject / course
DV2572 Master´s Thesis in Computer Science
Educational program
DVADA Master Qualification Plan in Computer Science
Supervisors
Examiners
Available from: 2021-03-09 Created: 2021-03-04 Last updated: 2021-03-09Bibliographically approved

Open Access in DiVA

Reducing Unintended bias in Text Classification using Multitask learning.(711 kB)2230 downloads
File information
File name FULLTEXT02.pdfFile size 711 kBChecksum SHA-512
8a6306f2ff5f5f6a060c91d56f754aff57c9898d6e2a8667ecc0dc38e476c58a3d9c286f7c386967138e959dfd46305a8e97708bfdd2cccd854535ea5526e029
Type fulltextMimetype application/pdf

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Blekinge Institute of Technology
Computer Sciences

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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