A final cost function to be maximized is as follows: (23) where λ is a weight-decay hyper-parameter for the LM and l2-norm, is the length of the input sequence, is the number of intents, and is all the parameters learned from training data.
the LM is used for stability and utility of character-based word representation and can be construed as a regularizer for the SFM and IDM.