The training procedure learns a discriminative model mapping from the inputs x ∈ X to the outputs y ∈ Y , where X is the set of sentences in the training corpus and Y is the set of corresponding labeled results.
it is valuable to conduct experiments with more source-annotated training data, such as the SIGHAN dataset, to investigate the trend of improvement along with the increment of the additional annotated sentences.