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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