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公开(公告)号：US20190130249A1
公开(公告)日：2019-05-02
申请号：US15885576
申请日：2018-01-31
Applicant: salesforce.com, inc.
Inventor： James Edward Khan Bradbury , Jiatao Gu
Abstract: A method for sequence-to-sequence prediction using a neural network model includes A method for sequence-to-sequence prediction using a neural network model, generating an encoded representation based on an input sequence using an encoder of the neural network model, predicting a fertility sequence based on the input sequence, generating an output template based on the input sequence and the fertility sequence, and predicting an output sequence based on the encoded representation and the output template using a decoder of the neural network model. The neural network model includes a plurality of model parameters learned according to a machine learning process. Each item of the fertility sequence includes a fertility count associated with a corresponding item of the input sequence.
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公开(公告)号：US11604956B2
公开(公告)日：2023-03-14
申请号：US15885576
申请日：2018-01-31
Applicant: salesforce.com, inc.
Inventor： James Edward Khan Bradbury , Jiatao Gu
Abstract: A method for sequence-to-sequence prediction using a neural network model includes A method for sequence-to-sequence prediction using a neural network model, generating an encoded representation based on an input sequence using an encoder of the neural network model, predicting a fertility sequence based on the input sequence, generating an output template based on the input sequence and the fertility sequence, and predicting an output sequence based on the encoded representation and the output template using a decoder of the neural network model. The neural network model includes a plurality of model parameters learned according to a machine learning process. Each item of the fertility sequence includes a fertility count associated with a corresponding item of the input sequence.
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