uk_ner_web_trf_large is a fine-tuned
XLM-Roberta model that is ready to use for
Named Entity Recognition and achieves a
SoA performance for the NER task for Ukrainian language. It outperforms another SpaCy model,
uk_core_news_trf on a NER task.
It has been trained to recognize four types of entities: location (LOC), organizations (ORG), person (PERS) and Miscellaneous (MISC).
The model was fine-tuned on the
NER-UK dataset, released by the
lang-uk.
Smaller transformer based model for the SpaCy is available
here.
