How can I train a CRF on two datasets with CRF++?

Question

I have two datasets: dataset A and dataset B. I want to use CRF++ (mirror) to train a conditional random field (CRF) on dataset A, then train the CRF on dataset B. Is it possible to achieve that with CRF++?

I do not want to train the CRF on two datasets at the same time.

Answer 1

I think its absolutely possible to train 2 individual models ( one on dataset A and another on dataset B ).

In case you want only 1 model , then you can combine both datasets and train 1 model.

If I was unable to answer your question, then I'm not sure what you are trying to do. Could you please elaborate your doubt?