PyTorch model for Slovenian Named Entity Recognition SloNER 1.0

PyTorch model for Slovenian Named Entity Recognition SloNER 1.0

CLARIN.SI data & tools

Authors: Prelevikj, Marko ; Žitnik, Slavko and Knez, Timotej

Item identifier: http://hdl.handle.net/11356/1758

Project URL: https://rsdo.slovenscina.eu/en/semantic-resources-and-technologies

Demo URL: https://slovenscina.eu/prepoznavanje-imenskih-entitet

Date issued: 2023-01-27

Type: toolService

Language(s): Slovenian

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.

Publisher: Faculty of Computer and Information Science, University of Ljubljana

Subject(s): named entity recognition RoBERTa

Collection(s): CLARIN.SI data & tools

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Description: SloNER PyTorch Transformers model
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