We represent C ij by a maximum-entropy classifier over the binary variable S ij , which is true if and only if field set F i belongs to the same record as field set F j .
we model the conditional distribution where f k is a binary feature function that computes attributes over the field sets, and Λ = {λ k } is the set of real-valued weights that are the parameters of the maximum-entropy model.