I have trained the model “de_core_news_sm” with two entities (ORG and MONEY) in the dataset “ds_1” and as a result I got a new model “de_core_news_sm_blp”. Now I have more data and I want to improve “de_core_news_sm_blp”. What is the best way to do so?
- ner.teach with the new data stored in “ds_1” and using the “de_core_news_sm_blp” model
- ner.batch-train using the new expanded dataset “ds_1” and again from scratch using “de_core_news_sm”
What would be an alternative or better approach?