Given a sequence x and the expect type of tags T , the merged model iŝ where t(y) is a function to judge the type of output tags; ψ(y) represents the set T .
we redefine the score function as we rewrite the model into a unified formulaŷ = arg max Given an example (x, y),ŷ is denoted as the incorrect label sequence with the highest scorê The margin γ(w; (x, y)) is defined as we calculate the hinge loss ℓ (w; (x, y)), (abbreviated as ℓ w ) by (w; (x, y)), otherwise (13) In round k, the new weight vector w k+1 is calculated by where ξ is a non-negative slack variable, and C is a positive parameter which controls the influence of the slack term on the objective function.