Thus, in this paper, we focus on semi-supervised language learning, where we can make use of both labeled and unlabeled data.
we investigate a semi-supervised approach for structured large margin training, where the objective is a combination of two convex functions, the structured large margin loss on labeled data and the least squares loss on unlabeled data.