PyTorch model for Slovenian Named Entity Recognition SloNER 1.0

PID

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.

Identifier
PID http://hdl.handle.net/11356/1758
Related Identifier https://rsdo.slovenscina.eu/en/semantic-resources-and-technologies
Metadata Access http://www.clarin.si/repository/oai/request?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:www.clarin.si:11356/1758
Provenance
Creator Prelevikj, Marko; Žitnik, Slavko; Knez, Timotej
Publisher Faculty of Computer and Information Science, University of Ljubljana
Publication Year 2023
Rights Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0); https://creativecommons.org/licenses/by-sa/4.0/; PUB
OpenAccess true
Contact info(at)clarin.si
Representation
Language Slovenian; Slovene
Resource Type toolService
Format text/plain; charset=utf-8; application/zip; downloadable_files_count: 1
Discipline Linguistics