Is there a way to group tokens after token classification via HF? I see something similar in Rasa 1. However, I am not sure it is the best way to do it as they are giving group numbers to the model to train on. However, If a document contains more groups than the documents in the training data, the RASA implementation fails.
I think I am looking for a solution like (kinda supervised) clustering which is independent of the number of groups in the documents.