Evaluation on PER, LOC, ORG tag scheme and BIOES tag sheme and how to use BERT emeddings

[alimghl]

Scenario: use My own RNN model (very simple model ) on my dataset by using (ORG, PER, LOC, O)tag scheme my model gives score about (F1 = 0.775) but when i use NCRFpp to train my model and it gives me F1 score = -1
and after debugging I changed my data format according to the requirement (BIOES tag sheme used)
and then it gives my very poor results (F1 = 0.554)
Q-1 how do you compute f1-Score replacing tag with original or just weighted average?
Q-2 if I want to use bert Embedding How can I use?

[baiziyuandyufei]

The tag Schema needs to be consistent with the format in the repository. For example:
Zine B-PER
al-Abidine I-PER
Ben I-PER
Ali E-PER