Furthermore, the WSME model is easier to train than the conditional one, because in the WSME model we don't need to estimate the normalization constant Z during the training time.
in order to incorporate long-distance information into the ME framework in a language model, a Whole Sentence Maximum Entropy Language Model (WSME) could be used.