公开(公告)号：US20210365444A1

公开(公告)日：2021-11-25

申请号：US17133869

申请日：2020-12-24

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO LTD

Inventor： Zhe HU ,  Cheng PENG ,  Xuefeng LUO

IPC: G06F16/242 ,  G06F16/2455 ,  G06F16/22 ,  G06K9/62 ,  G06K9/00

Abstract: The present disclosure discloses a method and apparatus for processing a dataset. The method includes: obtaining a first text set meeting a preset similarity matching condition with a target text from multiple text blocks provided by a target user; obtaining a second text set from the first text set, in which each text in the second text set does not belong to a same text block as the target text; generating a negative sample set of the target text based on content of a candidate text block to which each text in the second text set belongs; generating a positive sample set of the target text based on content of a target text block to which the target text belongs; and generating a dataset of the target user based on the negative sample set and the positive sample set, and training a matching model based on the dataset.

公开(公告)号：US20210350228A1

公开(公告)日：2021-11-11

申请号：US17133949

申请日：2020-12-24

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO LTD

Inventor： Jianfei WANG ,  Cheng PENG ,  Xuefeng LUO ,  Weiwei WANG

IPC: G06N3/08 ,  G06N3/04 ,  G06F17/16

Abstract: The disclosure provides a processing method and an apparatus of a neural network model, and relates to a field of computer technologies. The method includes: obtaining and converting input data of the ith processing layer into a plurality of capsule nodes; performing affine transformation on the plurality of the capsule nodes to generate a plurality of affine nodes; determining an initial activation input value according to the plurality of the affine nodes, and inputting the initial activation input value into an activation function to generate an initial activation output value; re-determining the initial activation input value according to an affine node corresponding to the initial activation output value, and inputting the re-determined initial activation input value into the activation function to regenerate the initial activation output value; repeating the acts for a preset number of times to determine the latest initial activation output value as an activation output value.