To train a large margin classifier, we train all the parameters such that the score of an utterance is bigger than a margin for its labels and less than the negative margin for all other labels.
the loss function is as follows: (2) where θ is all the parameters of the model, namely φ(w i ) (word embeddings), W word , W P arse , W previous , W next , W ih , and W ho .