Since this model has roughly twice as many tag-tag features, the fact that it outperforms the unidirectional models is not by itself compelling evidence for using bidirectional networks.
it also outperforms model L+L 2 which adds the t 0 , t −2 secondprevious word features instead of next word features, which gives only 96.05% (and R+R 2 gives 95.25%).