2019
Towards Better Confidence Estimation for Neural Models
ICASSP 2019accepted
In this work we focus on confidence modeling for neural network based text classification and sequence to sequence models in the context of Natural Language Understanding (NLU) tasks. For most applications, the confidence of a neural network model in it's output is computed as a function of the post…