Use this url to cite publication: https://cris.mruni.eu/cris/handle/007/48029
Self-Evaluation of Generative AI Prompts for Linguistic Linked Open Data Modelling in Diachronic Analysis
Type of publication
Straipsnis konferencijos medžiagoje Scopus duomenų bazėje / Article in conference proceedings in Scopus database (P1a2)
Author(s)
Author(s) | ||
---|---|---|
Armaselu, Florentina | University of Luxembourg | LU |
Liebeskind, Chaya | Jerusalem College of Technology | IL |
Title [en]
Self-Evaluation of Generative AI Prompts for Linguistic Linked Open Data Modelling in Diachronic Analysis
Publisher
Language Resources Association (ELRA), 2024
Date Issued
Date Issued |
---|
2024 |
Extent
p. 86-91.
Series/Report no.
LREC-COLING; 2024
Field of Science
Is Referenced by
Part Of
DLnLD: Deep Learning and Linked Data (DLnLD) @ LREC-COLING 2024 : Workshop Proceedings, 21 May, 2024 Torino, Italia / editors Gilles Sérasset, Hugo Gonçalo Oliveira and Giedre Valunaite Oleskeviciene.
Type of document
text::conference output::conference proceedings::conference paper
ISBN (of the container)
9782493814166
ISSN (of the container)
2951-2093
2522-2686
SCOPUS
2-s2.0-85195220486
eLABa
198363416
Coverage Spatial
Italija / Italy (IT)
Language
Anglų / English (en)
Bibliographic Details
18
Date Reporting
2024
Creative Commons License
Access Rights
Atviroji prieiga / Open Access
File(s)