-
公开(公告)号:US11537798B2
公开(公告)日:2022-12-27
申请号:US16895297
申请日:2020-06-08
Inventor: Siqi Bao , Huang He , Junkun Chen , Fan Wang , Hua Wu , Jingzhou He
IPC: G06F40/30 , G06F16/332
Abstract: Embodiments of the present disclosure relate to a method and apparatus for generating a dialogue model. The method may include: acquiring a corpus sample set, a corpus sample including input information and target response information; classifying corpus samples in the corpus sample set, setting discrete hidden variables for the corpus samples based on a classification result to generate a training sample set, a training sample including the input information, the target response information, and a discrete hidden variable; and training a preset neural network using the training sample set to obtain the dialogue model, the dialogue model being used to represent a corresponding relationship between inputted input information and outputted target response information.