The best performing models of label sequence learning are MEMMs or PMMs (also known as Maximum Entropy models) whose features are carefully designed for the specific tasks (Ratnaparkhi, 1999;Toutanova and Manning, 2000).
maximum entropy models suffer from the so called label bias problem, the problem of making local decisions (Lafferty et al., 2001).