While one may train a single model across the union of all the datasets available, this training procedure assumes that all labels (from the union of the tag set) are correctly annotated in every training instance -which is incorrect.
until recently, feature engineered machine learning models were the highest performing approaches to NER (Ratinov and Roth, 2009;Passos et al., 2014).