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SrpCNNeL: Serbian Model for Named Entity Linking

descriptionPublicationkeyboard_double_arrow_right Article , Presentation , Other literature type , Conference object 23 Oct 2024 Serbia Publisher:Polish Information Processing Society PTIJournal:Annals of Computer Science and Information Systems, volume 39, pages 465-473 (issn: 2300-5963, Copyright policy )
Authors: Ikonić Nešić, Milica; Petalinkar, Saša; Stanković, Ranka; Utvić, Miloš; Kitanović, Olivera;

doi: 10.15439/2024f8827 , 10.5281/zenodo.13996141 , 10.5281/zenodo.13996142

SrpCNNeL: Serbian Model for Named Entity Linking

Abstract

At the "19th Conference on Computer Science and Intelligence Systems, FedCSIS 2024 (IEEE #61123)" held in Belgrade, September 8–11, 2024, a paper titled SrpCNNeL: Serbian Model for Named Entity Linking by authors Milica Ikonić Nešić, Saša Petalinkar, Ranka Stanković, Miloš Utvić, and Olivera Kitanović was presented within the session Challenges for Natural Language Processing (CNLPS), showcasing the results of the TESLA project.

Country
Serbia
Related Organizations
Keywords

Electronic computers. Computer science, Information technology, QA75.5-76.95, T58.5-58.64

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    popularity
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    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Published in a Diamond OA journal