However, whereas we explicitly use a ranking-based loss function, LASO uses a binary classification loss function that labels each candidate structure as correct or incorrect.
each LASO training example contains all candidate predictions, whereas our training examples contain only the highest scoring incorrect prediction and the highest scoring correct prediction.