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公开(公告)号:US20210406480A1
公开(公告)日:2021-12-30
申请号:US17475073
申请日:2021-09-14
Inventor: Fan WANG , Siqi BAO , Xinxian HUANG , Hua WU , Jingzhou HE
IPC: G06F40/40 , G06F16/33 , G06F16/332 , G06N7/00
Abstract: The disclosure discloses a method for generating a conversation, an electronic device, and a storage medium. The detailed implementation includes: obtaining a current conversation and historical conversations of the current conversation; selecting multiple reference historical conversations from the historical conversations and adding the multiple reference historical conversations to a temporary conversation set; and generating reply information of the current conversation based on the current conversation and the temporary conversation set.
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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.
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公开(公告)号:US20210383797A1
公开(公告)日:2021-12-09
申请号:US17411917
申请日:2021-08-25
Inventor: Fan WANG , Siqi BAO , Huang HE , Hua WU , Jingzhou HE , Haifeng WANG
Abstract: A method for dialogue processing, an electronic device and a storage medium are provided. The specific technical solution includes: obtaining a dialogue history; selecting a target machine from a plurality of machines; inputting the dialogue history into a trained dialogue model in the target machine to generate a response to the dialogue history, in which the dialogue model comprises a common parameter and a specific parameter, and different machines correspond to the same common parameter.
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