Using only unigram features {f y,x } (y,x)∈Y ×X results in a model equivalent to a simple bag-of-tokens positionby-position logistic regression model.
bigram features {f y ,y,x } (y,x)∈Y 2 ×X are helpful in modelling dependencies between successive labels.