Moreover, the division of the labeled training data and the feature set of the generative models were derived in the same manner as our NER experiments (see Section 4.1).
we divided the labeled training data into 4/5 for estimating Λ and 1/5 for estimating Γ; one feature type shown in    We evaluated the performance in terms of the F β=1 score, which is the evaluation measure used in CoNLL-2000 and, and sentence accuracy, since all the methods in our experiments optimize sequence loss.