公开(公告)号：US12277397B2

公开(公告)日：2025-04-15

申请号：US17564369

申请日：2021-12-29

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Chao Ma ,  Jingshuai Zhang ,  Qifan Huang ,  Kaichun Yao ,  Peng Wang ,  Hengshu Zhu

IPC: G06F40/40 ,  G06F40/30 ,  G06N7/01

Abstract: A method of training a model, a method of determining a word vector, a device, a medium, and a product are provided, which may be applied to fields of natural language processing, information processing, etc. The method includes: acquiring a first word vector set corresponding to a first word set; and generating a reduced-dimensional word vector for each word vector in the first word vector set based on a word embedding model, generating, for other word vector in the first word vector set, a first probability distribution in the first word vector set based on the reduced-dimensional word vector, and adjusting a parameter of the word embedding model so as to minimize a difference between the first probability distribution and a second probability distribution for the other word vector determined by a number of word vector in the first word vector set.

公开(公告)号：US12265950B2

公开(公告)日：2025-04-01

申请号：US17564363

申请日：2021-12-29

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Jingshuai Zhang ,  Qifan Huang ,  Chao Ma ,  Hengshu Zhu ,  Peng Wang ,  Kaichun Yao ,  Jing Wang

IPC: G06Q10/1053 ,  G06N3/08

Abstract: The present disclosure provides a method and an apparatus of matching data, a device and a computer-readable storage medium, which are related to the field of artificial intelligence technology, and in particularly to the field of intelligent search and deep learning. The specific implementation solution includes: obtaining a first instance of a resume and a second instance of a job profile; determining, for a meta path, a resume feature data of the first instance and a profile feature data of the second instance, the meta path is a knowledge graph path from the resume to the job profile; and applying a classification model to the resume feature data of the first instance and the profile feature data of the second instance to determine a matching result between the first instance and the second instance.

公开(公告)号：US11989962B2

公开(公告)日：2024-05-21

申请号：US17559643

申请日：2021-12-22

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Chao Ma ,  Jingshuai Zhang ,  Qifan Huang ,  Kaichun Yao ,  Peng Wang ,  Hengshu Zhu

IPC: G06V30/00 ,  G06V30/148 ,  G06V30/18 ,  G06V30/262 ,  G06V30/41

CPC classification number: G06V30/153 ,  G06V30/18181 ,  G06V30/274 ,  G06V30/41

Abstract: A method, an apparatus, a device, a storage medium and a program product of performing a text matching are provided, which relate to a field of a computer technology, and in particular to natural language processing and deep learning technologies. The method includes: determining a word set and a plurality of semantic units from a text set, the word set is associated with a first predetermined attribute, and the text set contains a plurality of first texts indicating an object information and a plurality of second texts indicating an object demand information; generating a graph; and generating a final feature representation associated with the text set and the word set based on the graph and a graph convolution model, so as to perform the text matching.

公开(公告)号：USD1040073S1

公开(公告)日：2024-08-27

申请号：US29856467

申请日：2022-10-13

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Designer： He Liu ,  Kuang Hu ,  Jing Zhao ,  Chao Ma ,  Xitong Wang

Abstract: FIG. 1 is a first front perspective view of an integrated mounted frame for an unmanned vehicle, showing our new design;
FIG. 2 is a second front perspective view of an integrated mounted frame for an unmanned vehicle, showing our new design;
FIG. 3 is a third front perspective view of an integrated mounted frame for an unmanned vehicle, showing our new design;
FIG. 4 is a front elevation view of the integrated mounted frame for an unmanned vehicle shown in FIG. 1;
FIG. 5 is a rear elevation view of the integrated mounted frame for an unmanned vehicle shown in FIG. 1;
FIG. 6 is a left side elevation view of the integrated mounted frame for an unmanned vehicle shown in FIG. 1;
FIG. 7 is a right side elevation view of the integrated mounted frame for an unmanned vehicle shown in FIG. 1;
FIG. 8 is a top plan view of the integrated mounted frame for an unmanned vehicle shown in FIG. 1; and,
FIG. 9 is a bottom plan view of the integrated mounted frame for an unmanned vehicle shown in FIG. 1.
The broken lines represent portions of the integrated mounted frame for an unmanned vehicle and form no part of the claimed design.

公开(公告)号：US11899699B2

公开(公告)日：2024-02-13

申请号：US17347448

申请日：2021-06-14

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Kaichun Yao ,  Chuan Qin ,  Hengshu Zhu ,  Chao Ma ,  Jingshuai Zhang

IPC: G06F40/289 ,  G06F40/40 ,  G06F16/332 ,  G06F16/335 ,  G06F40/20

CPC classification number: G06F16/3329 ,  G06F16/335 ,  G06F40/20

Abstract: This application discloses a keyword generating method, an apparatus, a device and a storage medium, which relate to the field of natural language processing in the field of artificial intelligence. A specific implementation scheme includes: inputting a target text into a text processing model, obtaining a word sequence corresponding to the target text, and generating a semantic representation sequence corresponding to the word sequence; making prediction about each semantic representation vector in the semantic representation sequence respectively to obtain a prediction result; and if the prediction result indicates that a word corresponding to the semantic representation vector is capable of triggering a generation of a keyword, outputting the keyword based on the semantic representation vector and the prediction result. This method improves the accuracy of generating keywords.