公开(公告)号：US20230133717A1

公开(公告)日：2023-05-04

申请号：US17954900

申请日：2022-09-28

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

Inventor： Jiandong SUN ,  Yabing SHI ,  Ye JIANG ,  Chunguang CHAI

IPC: G06F40/289 ,  G06F40/30

Abstract: Disclosed are an information extraction method, an electronic device and a readable storage medium, which relate to the field of artificial intelligence technologies, and particularly to the field of knowledge graph technologies. The information extraction method includes: acquiring to-be-processed text to obtain a semantic vector of each token in the to-be-processed text; generating a relationship prediction matrix, an entity prediction matrix and an alignment matrix according to each token in the to-be-processed text and the semantic vector of each token; and extracting a target triplet in the to-be-processed text using the relationship prediction matrix, the entity prediction matrix and the alignment matrix, and taking the target triplet as an information extraction result of the to-be-processed text.

公开(公告)号：US20220358110A1

公开(公告)日：2022-11-10

申请号：US17871666

申请日：2022-07-22

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

Inventor： Yue ZHANG ,  Yabing SHI ,  Ye JIANG ,  Chunguang CHAI

IPC: G06F16/22 ,  G06F16/242

Abstract: A method and apparatus for processing a table, a device, a storage medium and a product. An implementation of the method comprise: receiving a content query request for a target table; acquiring a target tree structure of the target table according to the content query request; where, the target tree structure is obtained by performing absorbing processing and merging processing on at least one target cell in the target table; acquiring to-be-queried content in the content query request; and querying target content matching the to-be-queried content from the target tree structure.

公开(公告)号：US20230038091A1

公开(公告)日：2023-02-09

申请号：US17957188

申请日：2022-09-30

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

Inventor： Yue ZHANG ,  Zhou FANG ,  Yabing SHI ,  Ye JIANG ,  Chunguang CHAI

IPC: G06F16/906 ,  G06F16/22 ,  G06F40/177 ,  G06F40/20

Abstract: A method of extracting a table information, an electronic device, and a storage medium are provided, which relate to fields of artificial intelligence and big data, in particular to fields of machine learning, knowledge graph, intelligent search and intelligent recommendation, and may be used for an intelligent extraction of an information in a table and other scenarios. The method includes: performing a clustering based on features of a plurality of rows of cells and/or features of a plurality of columns of cells in a table, so as to determine candidate header cells in the table; and performing an information extraction on the table based on the candidate header cells, so as to extract attribute-attribute value pairs in the table.

公开(公告)号：US20210263974A1

公开(公告)日：2021-08-26

申请号：US17173318

申请日：2021-02-11

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

Inventor： Qian LI ,  Yabing SHI ,  Ye JIANG ,  Chunguang CHAI ,  Yong ZHU

IPC: G06F16/9032 ,  G06N3/04 ,  G06F16/906 ,  G06F16/903 ,  G06F40/30

Abstract: Provided by the present disclosure is a new category tag mining method, involving the field of knowledge graph technology, and including: obtaining a plurality of queries during a current preset time period; labeling a category tag on each query of the plurality of queries, by using a pre-trained sequence labeling model, to extract the category tag currently corresponding to the query from the query; and removing a category tag already existing in a preset current category tag library from category tags currently corresponding to all the queries, and determining a remaining category tag as a new category tag. The present disclosure also provides an electronic device and a non-transitory computer-readable storage medium.

公开(公告)号：US20240411979A1

公开(公告)日：2024-12-12

申请号：US18749479

申请日：2024-06-20

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

Inventor： Minlong PENG ,  Mingming SUN ,  Yabing SHI

IPC: G06F40/10 ,  G06N3/08

Abstract: A method, apparatus, device, and medium for determining the similarity of text processing tasks is provided. The method includes: determining a first task, a second task, and a neural network, the neural network includes a plurality of network modules and a plurality of importance coefficients corresponding to the plurality of network modules, and the importance coefficients are used to scale output values of a corresponding network module; respectively performing a target operation using the first task and the second task as a target task to obtain an embedding feature of the first task and an embedding feature of the second task; and determining the task similarity between the first task and the second task based on the embedding features. The target operation includes: training using text samples and obtaining a plurality of trained importance coefficients; and determining an embedding feature of the target task based on trained importance coefficients.

公开(公告)号：US20230016403A1

公开(公告)日：2023-01-19

申请号：US17934876

申请日：2022-09-23

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

Inventor： Zhaoji WANG ,  Fang HUANG ,  Ye JIANG ,  Yabing SHI ,  Chunguang CHAI ,  Yong ZHU

IPC: G06F16/9537 ,  G06F40/226 ,  G06F40/30

Abstract: The present disclosure provides a method of processing triple data, a method of training a triple data processing model, an electronic device, and a storage medium. A specific implementation solution includes: performing a triple data extraction on text data to obtain a plurality of field data; normalizing the plurality of field data to determine target triple data, wherein the target triple data contains entity data, entity relationship data, and association entity data; and verifying a confidence level of the target triple data to obtain a verification result.