metadata
tags:
- spacy
- token-classification
language:
- sr
license: cc-by-sa-3.0
model-index:
- name: sr_ner_tesla_bbmc
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9463341916
- name: NER Recall
type: recall
value: 0.944797727
- name: NER F Score
type: f_score
value: 0.9455653351
sr_ner_tesla_bbmc is a spaCy model meticulously fine-tuned for Named Entity Recognition in Serbian language texts. This advanced model incorporates a transformer layer based on bert-base-multilingual-cased, enhancing its analytical capabilities. It is proficient in identifying 7 distinct categories of entities: PERS (persons), ROLE (professions), DEMO (demonyms), ORG (organizations), LOC (locations), WORK (artworks), and EVENT (events). Detailed information about these categories is available in the accompanying table. The development of this model has been made possible through the support of the Science Fund of the Republic of Serbia, under grant #7276, for the project 'Text Embeddings - Serbian Language Applications - TESLA'.
