uk_ner_web_trf_best

Model description

uk_ner_web_trf_best is a fine-tuned Roberta Large Ukrainian model that is ready to use for Named Entity Recognition and achieves a new 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.

A smaller transformer-based model for the SpaCy is available here.

Copyright: Dmytro Chaplynskyi, lang-uk project, 2023