Our model differs from standard linear-chain CRFs in that the score between adjacent hidden nodes is not calculated based on a transition matrix, but is learned from observations instead.
given a constituent sequence C, the probability of forming the structure sequence Y str is written as: where the u str t represents the unary potential score of structure node l t = y t , depending on constituents c t and c t+1 .