To evaluate the confusion sets' qualities, we examine how they impact the performance of an end-to-end grammar error correction (GEC) system.
we train a separate classifier for each preposition using only training examples that are covered by the confusion set, a setup similar to the NegL1 system as described in (Rozovskaya & Roth, 2010a).