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公开(公告)号:US20210200957A1
公开(公告)日:2021-07-01
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
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.