Update search
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
NARROW
Format
Journal
Type
Date
Availability
1-1 of 1
Keywords: Article segmentation
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Journal Articles
Computer vision and machine learning approaches for metadata enrichment to improve searchability of historical newspaper collections
Available to PurchaseDilawar Ali, Kenzo Milleville, Steven Verstockt, Nico Van de Weghe, Sally Chambers, Julie M. Birkholz
Journal:
Journal of Documentation
Journal of Documentation (2024) 80 (5): 1031–1056.
Published: 27 February 2023
... and archives Information extraction Document layout analysis Article segmentation Named entity recognition Digitized historical newspapers Feuilleton extraction Machine learning approaches have also been used to extract information from historical documents (Meier et al., 2017 ; Paaβ...
