For the model depicted in Figure 3(d), for instance, the posterior probability is given by: In this model, P(FR i,j | HL i,j , θ) is a global distribution parameterized by θ, and FT is a feature type variable from the set X = HL, POS, FR .
one limitation of this particular model is that it requires domain knowledge in order to establish the dependencies between the feature type variables.