In many NER problems, features are often constructed as a series of transformations of the input training data, performed in sequence.
if our task is to identify tokens as either being (O)utside or (I)nside person names, and we are given the labeled sample training sentence: (1) one such useful feature might be: Is the token one slot to the left of the current token Professor?