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dc.contributor.author Prelevikj, Marko
dc.contributor.author Žitnik, Slavko
dc.contributor.author Knez, Timotej
dc.date.accessioned 2023-01-30T09:23:44Z
dc.date.available 2023-01-30T09:23:44Z
dc.date.issued 2023-01-27
dc.identifier.uri http://hdl.handle.net/11356/1758
dc.description The SloNER is a model for Slovenian Named Entity Recognition. It is is a PyTorch neural network model, intended for usage with the HuggingFace transformers library (https://github.com/huggingface/transformers). The model is based on the Slovenian RoBERTa contextual embeddings model SloBERTa 2.0 (http://hdl.handle.net/11356/1397). The model was trained on the SUK 1.0 training corpus (http://hdl.handle.net/11356/1747).The source code of the model is available on GitHub repository https://github.com/clarinsi/SloNER.
dc.language.iso slv
dc.publisher Faculty of Computer and Information Science, University of Ljubljana
dc.rights Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
dc.rights.uri https://creativecommons.org/licenses/by-sa/4.0/
dc.rights.label PUB
dc.source.uri https://rsdo.slovenscina.eu/en/semantic-resources-and-technologies
dc.subject named entity recognition
dc.subject RoBERTa
dc.title PyTorch model for Slovenian Named Entity Recognition SloNER 1.0
dc.type toolService
metashare.ResourceInfo#ContentInfo.detailedType tool
metashare.ResourceInfo#ResourceComponentType#ToolServiceInfo.languageDependent true
has.files yes
branding CLARIN.SI data & tools
demo.uri https://slovenscina.eu/prepoznavanje-imenskih-entitet
contact.person Timotej Knez timotej.knez@fri.uni-lj.si Faculty of Computer and Information Science, University of Ljubljana
sponsor Ministry of Culture C3340-20-278001 Development of Slovene in a Digital Environment Other
files.count 1
files.size 406261618


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SloNER PyTorch Transformers model
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