LEARNING TO COMBINE EXPLICIT DIVERSITY CONDITIONS FOR EFFECTIVE QUESTION ANSWER GENERATION

    公开(公告)号:US20240256906A1

    公开(公告)日:2024-08-01

    申请号:US18401074

    申请日:2023-12-29

    CPC classification number: G06N5/02 G06F40/295

    Abstract: A method includes predicting, using the at least one processing device, a question type for each section of a document using a trained question type prediction model, each section including a different portion of the document. The method also includes generating, using the at least one processing device, multiple question-answer pairs using a trained question-answer generation model that receives the predicted question types and the document as input. Each question-answer pair includes (i) a question having a type corresponding to one of the predicted question types and being associated with content in the section corresponding to the type and (ii) an answer to the question. The method further includes outputting, using the at least one processing device, the question-answer pairs for use in training a question answering model.

    PDP estimation for bundle-based channel estimation via learning approach

    公开(公告)号:US11277284B2

    公开(公告)日:2022-03-15

    申请号:US17011741

    申请日:2020-09-03

    Inventor: Hyuk Joon Kwon

    Abstract: A method of channel estimation for a precoded channel includes generating an initial frequency autocorrelation of the precoded channel for a current bundle of a received data transmission, generating an expanded frequency autocorrelation based on the initial frequency autocorrelation of the precoded channel, providing the expanded frequency autocorrelation to a neural network, generating, by the neural network, an estimated frequency autocorrelation of an unprecoded channel based on the expanded frequency autocorrelation, and generating an estimated power distribution profile of the unprecoded channel based on the estimated frequency autocorrelation.

    PDP ESTIMATION FOR BUNDLE-BASED CHANNEL ESTIMATION VIA LEARNING APPROACH

    公开(公告)号:US20210314198A1

    公开(公告)日:2021-10-07

    申请号:US17011741

    申请日:2020-09-03

    Inventor: Hyuk Joon Kwon

    Abstract: A method of channel estimation for a precoded channel includes generating an initial frequency autocorrelation of the precoded channel for a current bundle of a received data transmission, generating an expanded frequency autocorrelation based on the initial frequency autocorrelation of the precoded channel, providing the expanded frequency autocorrelation to a neural network, generating, by the neural network, an estimated frequency autocorrelation of an unprecoded channel based on the expanded frequency autocorrelation, and generating an estimated power distribution profile of the unprecoded channel based on the estimated frequency autocorrelation.

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