The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 29, 2025

Filed:

Dec. 01, 2022
Applicant:

Tencent Technology (Shenzhen) Company Limited, Shenzhen, CN;

Inventors:

Zhiyuan Liu, Shenzhen, CN;

Hao Peng, Shenzhen, CN;

Tianyu Gao, Shenzhen, CN;

Xu Han, Shenzhen, CN;

Yankai Lin, Shenzhen, CN;

Peng Li, Shenzhen, CN;

Maosong Sun, Shenzhen, CN;

Jie Zhou, Shenzhen, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2018.12); G06F 40/166 (2019.12); G06F 40/279 (2019.12); G06F 40/30 (2019.12);
U.S. Cl.
CPC ...
G06F 40/279 (2019.12); G06F 40/166 (2019.12); G06F 40/30 (2019.12);
Abstract

Disclosed is a text sentence processing method performed by a computer device, including: acquiring sample text sentences including entity pairs and relationship labels of the entity pairs; extracting positive and negative example sentence pairs from the sample text sentences according to the relationship labels, and performing positive-negative example sampling, to obtain a training set; inputting the training set into a relationship extraction model to generate loss values; and adjusting parameters of the relationship extraction model according to the loss values, and repeating the step of extracting positive and negative example sentence pairs from the sample text sentences according to the relationship labels to perform iterative training of the relationship extraction model until a training end condition is met, to obtain an updated relationship extraction model, the relationship extraction model being configured to identify an entity relationship of an entity pair in an input text sentence.


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