I saw that some people had used the trained spacy model recursively for improving the accuracy of the NER tagging.
I trained an entity that is "SPORT" by using the spacy's train_new_entity_type.py with an existing "en_core_web_lg" model, and saved the output model for re-using it in the ner.make-gold. But when I run this command:
prodigy ner.make-gold sport_terms_2 /../prodigy/spaCy/examples/training/model_SPORT/ner/model ../raw_data_8_8_2019.jsonl --label "SPORT, ORG, GPE”
it did not start the API for annotation. May be I try to import wrong output of the spacy.
Could you please tell me how can I import the spacy_model that I obtained in order to use it for making gold data again?