Second, in many approaches the models for every slot are different.
the user utterance may also have its corresponding mbest ASR hypotheses with the normalized confidence scores (Chen et al., 2017) In this case, we can calculate the weighted word vectors, u i , where u i,j represents the word vector u i presented at the j-th ASR hypothesis, and the zero vectors are padded at the end of all the hypotheses that are shorter than the longest one to have a same length of the utterance.