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bert-base-gl-SLI-NER

Token Classification
Transformers
PyTorch
Galician
Portuguese
bert
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bert-base-gl-SLI-NER / README.md
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metadata
language:
  - gl
  - pt
  - multilingual
license: gpl-3.0
widget:
  - text: >-
      A mi�a amiga Rosa, de Lisboa, estudou en Montreal. Agora traballa en Nova
      Pescanova.

Named Entity Recognition (NER) model for Galician

This is a NER model for Galician (ILG/RAG spelling) which uses the standard 'enamex' classes: LOC (geographical locations); PER (people); ORG (organizations); MISC (other entities).

The model is based on BERT-base-gl-cased, which has been fine-tuned using custom splits of the SLI_NERC dataset. On the test split of this dataset (not used for training), the model obtained the following results (Precision/Recall/F-score): 87.69 / 89.7 / 88.68.