In this paper, a joint inference mechanism is introduced to incorporate various kinds of knowledge to resolve the inconsistencies in argument classification to ensure global legitimate predictions.
the joint inference mechanism is formalized as a constrained optimization problem, represented as an integer linear programming (ILP) task.