For example, an order-1 model assigns a very low probability to the uni-label "I" of the t-th word, which means the order-1 model is confident that the t-th word can hardly be labeled as "I".
it is unnecessary to take account of the bi-gram labels "I-B", "I-I", and "I-O" at the next time step.