Login
EN
[EN] English
[FR] Français
Login
EN
[EN] English
[FR] Français
Give us feedback
Search and explore
Search
Explore ORBilu
Open Science
Open Science
Open Access
Research Data Management
Definitions
OS Working group
Webinars
Statistics
Help
User Guide
FAQ
Publication list
Document types
Reporting
Training
ORCID
About
About ORBilu
Deposit Mandate
ORBilu team
Impact and visibility
About statistics
About metrics
OAI-PMH
Project history
Legal Information
Data protection
Legal notices
Back
Home
Detailed Reference
No full text
Software (Computer developments)
DeXTER (DeepTextMiner): A deep learning, critical workflow to contextually enrich digital collections and visualise them
VIOLA, Lorella
;
Fiscarelli, Antonio M.
2021
Permalink
https://hdl.handle.net/10993/49585
DOI
10.5281/zenodo.4633404
Files (0)
Send to
Details
Statistics
Bibliography
Similar publications
Files
Full Text
No document available.
Send to
RIS
BibTex
APA
Chicago
Permalink
X
Linkedin
copy to clipboard
copied
Details
Keywords :
Digital humanities; Transparency; Deep learning
Research center :
- Luxembourg Centre for Contemporary and Digital History (C2DH) > Digital History & Historiography (DHI)
Disciplines :
Computer science
Author, co-author :
VIOLA, Lorella
;
University of Luxembourg > Luxembourg Centre for Contemporary and Digital History (C2DH) > DHARPA
Fiscarelli, Antonio M.
Language :
English
Title :
DeXTER (DeepTextMiner): A deep learning, critical workflow to contextually enrich digital collections and visualise them
Publication date :
2021
Creation date :
2021
Publisher :
Zenodo
Additional URL :
https://doi.org/10.5281/zenodo.4633404
FnR Project :
FNR13307816 - Digital History Advanced Research Projects Accelerator, 2019 (01/10/2019-30/09/2024) - Sean Takats
Funders :
FNR - Fonds National de la Recherche
Available on ORBilu :
since 13 January 2022
Statistics
Number of views
113 (8 by Unilu)
Number of downloads
0 (0 by Unilu)
More statistics
Bibliography
Similar publications
Contact ORBilu