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
Means for Memo Matching (MMM): A Study of Legal Informatics and Language Technology
Stockholm University, Faculty of Law, Department of Law, The Swedish Law and Informatics Research Institute.ORCID iD: 0000-0002-6795-9510
2022 (English)In: Law, AI and Digitalisation / [ed] Katja de Vries; Mattias Dahlberg, Uppsala: Iustus förlag, 2022, 1:1, p. 357-378Chapter in book (Other academic)
Place, publisher, year, edition, pages
Uppsala: Iustus förlag, 2022, 1:1. p. 357-378
Series
De Lege, ISSN 1102-3317 ; 2021
National Category
Law (excluding Law and Society)
Identifiers
URN: urn:nbn:se:su:diva-234164DOI: 10.33063/dl.vi.430ISBN: 978-91-7737-167-0 (print)OAI: oai:DiVA.org:su-234164DiVA, id: diva2:1904526
Available from: 2024-10-09 Created: 2024-10-09 Last updated: 2024-10-09Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Magnusson Sjöberg, Cecilia

Search in DiVA

By author/editor
Magnusson Sjöberg, Cecilia
By organisation
The Swedish Law and Informatics Research Institute
Law (excluding Law and Society)

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 94 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
|
Stockholm University Library
|
DiVA portal
|
DiVA Contact
|
DiVA Log in