(2007) reduce the number of POS tags from 45 to 5 when training a factorial dynamic CRF on a small dataset (with only 209 sentences) in order to reduce training and inference time.
we propose a relatively simple model for jointly learning Bengali POS tagging and NER, by exploiting the limited dependencies between the two tasks.