After extracting candidates, reranking algorithms (e.g., LambdaMART (Burges, 2010)) with additional features are used to align final candidates.
we use the same model size for the character baseline and our variants for the fairness since our goal is proposing a new method and comparing between baseline and ours rather than achieving the best performance with the restriction of having a similar number of parameters.