公开(公告)号：US20240273297A1

公开(公告)日：2024-08-15

申请号：US18642593

申请日：2024-04-22

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

Inventor： Yu LI ,  Jiawei ZHENG ,  Xinjiang LU ,  Hongwei XIE ,  Xuejiao LIN ,  Jingbo ZHOU

IPC: G06F40/295

CPC classification number: G06F40/295

Abstract: An entity recognition method, a model training method, an electronic device, and a medium, which relate to fields of artificial intelligence, information acquiring technologies. The entity recognition method includes: extracting specified entities from a text in a source file of a webpage to be recognized, and acquiring a text encoding result for each specified entity; determining a text block formed by each specified entity in the webpage, and encoding a relative layout information between each two text blocks, to obtain a position encoding result; constructing a triple by the position encoding result for each two text blocks and the text encoding results for respective specified entities of the two text blocks; and performing a graph convolution on each triple to obtain a relation recognition result for the webpage to be recognized, where the relation recognition result indicates whether an association exists between each two text blocks in the webpage.