Conventional machine learning techniques, such as Hidden Markov Model (HMM) and Maximum Entropy Model (ME), normally require a careful feature selection in order to achieve high accuracy.
we employ the simple pairwise classifiers because of the following reasons: (1) In general, SVMs require training cost (where C is the size of training data).