公开(公告)号：US20220114822A1

公开(公告)日：2022-04-14

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

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：US20220129856A1

公开(公告)日：2022-04-28

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: G06Q10/10 ,  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：US20220121826A1

公开(公告)日：2022-04-21

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 ,  G06N7/00

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.