SrpCNNeL: Serbian Model for Named Entity Linking

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-01
DOI
https://doi.org/10.5281/zenodo.13996141
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
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article

SrpCNNeL: Serbian Model for Named Entity Linking

Zenodo (CERN European Organization for Nuclear Research)
Topic Modeling
article

SrpCNNeL: Serbian Model for Named Entity Linking

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
University of Belgrade (RS), University of Belgrade – Faculty of Philology, University of Belgrade - Faculty of Mining and Geology
Quality Education
Openalex Percentile: Top 68%
Topic Modeling
DOIOpen Access PDFOpenAlex
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SrpCNNeL: Serbian Model for Named Entity Linking · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS