roberta-large-ner-uk
A transformer-based NER model for Ukrainian, trained on a combination of human-annotated data (NER-UK 2.0) and high-quality silver-standard annotations (UberText-NER-Silver). Based on roberta-large-NER, this model achieves state-of-the-art performance on a wide range of named entities in Ukrainian.
Model Details
- Model type: Transformer-based encoder (spaCy pipeline)
- Language (NLP): Ukrainian
- License: Apache 2.0
- Finetuned from model:
51la5/roberta-large-NER - Entity Types (13):
PERS,ORG,LOC,DATE,TIME,JOB,MON,PCT,PERIOD,DOC,QUANT,ART,MISC
Usage
import spacy
nlp = spacy.load("roberta-large-ner-uk")
doc = nlp("Президент України Володимир Зеленський виступив у Брюсселі.")
print([(ent.text, ent.label_) for ent in doc.ents])