公开(公告)号：US11132516B2

公开(公告)日：2021-09-28

申请号：US16396172

申请日：2019-04-26

Applicant: Huawei Technologies Co., Ltd.

Inventor： Zhaopeng Tu ,  Lifeng Shang ,  Xiaohua Liu ,  Hang Li

IPC: G06F40/58 ,  G06N3/08 ,  G06N3/02 ,  G06F16/34 ,  G06F40/35 ,  G06F40/44 ,  G06F40/51 ,  G10L15/26

Abstract: A sequence conversion method includes receiving a source sequence, converting the source sequence into a source vector representation sequence, obtaining at least two candidate target sequences and a translation probability value of each of the at least two candidate target sequences according to the source vector representation sequence, adjusting the translation probability value of each candidate target sequence, selecting an output target sequence from the at least two candidate target sequences according to an adjusted translation probability value of each candidate target sequence, and outputting the output target sequence. Hence, loyalty of a target sequence to a source sequence can be improved during sequence conversion.

公开(公告)号：US11025768B2

公开(公告)日：2021-06-01

申请号：US16993426

申请日：2020-08-14

Applicant: Huawei Technologies Co., Ltd.

Inventor： Simon Ekstrand ,  Hang Li ,  Zhiming Fan ,  Xueyan Huang ,  Zewen Li ,  Sha Qian ,  Shouyu Wang

IPC: H04M1/72442 ,  G06F3/0481 ,  H04M1/72469

Abstract: An information displaying method and a terminal are provided. The method includes: obtaining audio data to be played in a chronological order; determining, based on attribute information at any moment of a sound represented by the audio data, a shape of a graph corresponding to the any moment, where the graph corresponding to the any moment including a closed curve with a bump, and a maximum distance in distances from points on the bump to a center of the graph is positively correlated to a value indicated by the attribute information at the any moment; and displaying the graph corresponding to the any moment. The bump in the graph changes with the value indicated by the attribute information of the sound, and such graph is presented to a user, to enhance perception of the user on the attribute information of the audio data and improve user experience.

公开(公告)号：US20200065388A1

公开(公告)日：2020-02-27

申请号：US16672092

申请日：2019-11-01

Applicant: Huawei Technologies Co., Ltd.

Inventor： Zhengdong Lu ,  Hang Li

IPC: G06F17/27 ,  G06F16/36 ,  G06N3/04

Abstract: A method and an apparatus for determining a semantic matching degree, where the method includes acquiring a first sentence and a second sentence, dividing the first sentence and the second sentence into x and y sentence fragments, respectively, performing a convolution operation on word vectors in each sentence fragment of the first sentence and word vectors in each sentence fragment of the second sentence to obtain a three-dimensional tensor, performing integration or screening on adjacent vectors in the one-dimensional vectors of x rows and y columns, until the three-dimensional tensor is combined into a one-dimensional target vector, and determining a semantic matching degree between the first sentence and the second sentence according to the target vector.

公开(公告)号：US10255129B2

公开(公告)日：2019-04-09

申请号：US15292561

申请日：2016-10-13

Applicant: Huawei Technologies Co., Ltd.

Inventor： Xin Jiang ,  Hang Li

IPC: G06F11/00 ,  G06F11/07 ,  G05B23/02 ,  H04L12/24

Abstract: A fault diagnosis method for a big-data network system includes extracting fault information from historical data in the network system, to form training sample data, which is trained to obtain a deep sum product network model that can be used to perform fault diagnosis; and diagnosing a fault of the network system based on the deep sum product network model. The embodiments of the present application resolve a problem that it is difficult to diagnose a fault of a big-data network system.

公开(公告)号：US20190018836A1

公开(公告)日：2019-01-17

申请号：US16134393

申请日：2018-09-18

Applicant: Huawei Technologies Co., Ltd.

Inventor： Xiao Chen ,  Hang Li

IPC: G06F17/27

Abstract: A word segmentation method and system for a language text, where in the method, a word segmentation is performed on the first language text in a first word segmentation manner to obtain a first word boundary set, the first word boundary set is divided into a trusted second word boundary set and an untrusted third word boundary set according to a confidence level threshold, a second language text is selected from the first language text according to the third word boundary set, and a word segmentation is performed on the second language text in a second word segmentation manner to obtain a fourth word boundary set. Word segmentation precision of the first language text can be flexibly adjusted by adjusting the confidence level threshold.

公开(公告)号：US20180276525A1

公开(公告)日：2018-09-27

申请号：US15993619

申请日：2018-05-31

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Xin Jiang ,  Zhengdong Lu ,  Hang Li

IPC: G06N3/00 ,  G06N3/04 ,  G06F17/27

CPC classification number: G06N3/006 ,  G06F16/3329 ,  G06F17/2715 ,  G06F17/2785 ,  G06N3/0427 ,  G06N3/0445 ,  G06N3/0454 ,  G06N3/084

Abstract: A method and neural network system for human-computer interaction, and user equipment are disclosed. According to the method for human-computer interaction, a natural language question and a knowledge base are vectorized, and an intermediate result vector that is based on the knowledge base and that represents a similarity between a natural language question and a knowledge base answer is obtained by means of vector calculation, and then a fact-based correct natural language answer is obtained by means of calculation according to the question vector and the intermediate result vector. By means of this method, a dialog and knowledge base-based question-answering are combined by means of vector calculation, so that natural language interaction can be performed with a user, and a fact-based correct natural language answer can be given according to the knowledge base.

公开(公告)号：US20170177155A1

公开(公告)日：2017-06-22

申请号：US15447952

申请日：2017-03-02

Applicant: Huawei Technologies Co., Ltd.

Inventor： Jin Zhou ,  Hang Li ,  Bing Liu ,  Yifei Wang

IPC: G06F3/041 ,  G06F3/044

CPC classification number: G06F3/0416 ,  G06F3/0227 ,  G06F3/044 ,  H04M1/02

Abstract: A system comprises a touchscreen, at least one touch control unit, a first controller, and a second controller, where the touch control unit includes a detection electrode, an induction electrode, and a conducting wire that connects the detection electrode and the induction electrode, where the detection electrode is located outside a touch control area of the touchscreen, the induction electrode is located in the touch control area of the touchscreen, and the induction electrode is coupled to at least one capacitance node in the touchscreen, and the first controller is separately connected to the touchscreen and the second controller. A touch control operation performed by a user on the detection electrode disposed outside the touchscreen is identified using an existing capacitance node in the touchscreen, and the terminal is controlled according to the touch control operation.

公开(公告)号：US20170102984A1

公开(公告)日：2017-04-13

申请号：US15292561

申请日：2016-10-13

Applicant: Huawei Technologies Co., Ltd.

Inventor： Xin Jiang ,  Hang Li

IPC: G06F11/07

CPC classification number: G06F11/079 ,  G05B23/02 ,  G06F11/0709 ,  G06F11/0751 ,  G06F11/0787 ,  H04L41/0631 ,  H04L41/142

Abstract: A fault diagnosis method for a big-data network system includes extracting fault information from historical data in the network system, to form training sample data, which is trained to obtain a deep sum product network model that can be used to perform fault diagnosis; and diagnosing a fault of the network system based on the deep sum product network model. The embodiments of the present application resolve a problem that it is difficult to diagnose a fault of a big-data network system.