-
公开(公告)号:US20210216713A1
公开(公告)日:2021-07-15
申请号:US17213061
申请日:2021-03-25
Inventor: Xiaojun ZHAO , Xie HE , Xuefeng LUO , Lianghuang FAN , Changfu BAI
IPC: G06F40/289 , G06F40/30
Abstract: A method, an apparatus, a device and a storage medium for intelligent response are provided. The method may include: acquiring a current to-be-responded sentence, and determining a current to-be-collected entity corresponding to an intention of the current to-be-responded sentence; acquiring, if a pre-set entity clarification condition is met according to the current to-be-responded sentence, an entity clarification sentence corresponding to the current to-be-collected entity, where the entity clarification sentence is used to clarify an entity value of the current to-be-collected entity; and outputting the entity clarification sentence as a reply sentence of the current to-be-responded sentence.
-
公开(公告)号:US20210365444A1
公开(公告)日:2021-11-25
申请号:US17133869
申请日:2020-12-24
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
Inventor: Jianfei WANG , Cheng PENG , Xuefeng LUO , Weiwei WANG
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.
-
公开(公告)号:US20210216594A1
公开(公告)日:2021-07-15
申请号:US17216134
申请日:2021-03-29
Inventor: Lianghuang FAN , Xuefeng LUO , Xiaojun Zhao , Xie HE , Changfu BAI
IPC: G06F16/9032 , G06F40/30 , G06F9/451 , G06F16/9035
Abstract: A method and an apparatus are provided. The method may include: determining a service scenario based on a query sentence; entering the service scenario, and entering a first dialog node tree corresponding to the service scenario; storing, in response to determining that a common scenario needs to be entered based on a verification of a related parameter by the each parameter verification dialog node, the each parameter verification dialog node and jumping to the common scenario, and entering a second dialog node tree; collecting user information using the second dialog node tree, and in response to determining that the user information is collected successfully, determining whether a processing result of the second dialog node tree meets a backtracking condition; and returning to the service scenario based on the stored parameter verification dialog node and continuing to execute other dialog logic processing of the service scenario.
-
-
-