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:
Jan. 28, 2025

Filed:

Mar. 16, 2022
Applicant:

Fujitsu Limited, Kawasaki, JP;

Inventors:

Yiling Cao, Beijing, CN;

Zhongguang Zheng, Beijing, CN;

Jun Sun, Beijing, CN;

Assignee:

FUJITSU LIMITED, Kawasaki, JP;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 40/253 (2020.01); G06F 40/169 (2020.01); G06F 40/279 (2020.01); G06F 40/30 (2020.01); G06N 3/04 (2023.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G06F 40/279 (2020.01); G06F 40/253 (2020.01); G06F 40/30 (2020.01); G06N 3/04 (2013.01);
Abstract

A method of presenting prompt information by utilizing a neural network which includes a BERT model and a graph convolutional neural network (GCN), comprising: generating a first vector based on a combination of an entity, a context of the entity, a type of the entity and a part of speech of the context by using BERT model; generating a second vector based on each of predefined concepts by using BERT model; generating a third vector based on a graph which is generated based on the concepts and relationships thereamong, by using GCN; generating a fourth vector by concatenating the second and third vectors; calculating semantic similarity between the entity and each concept based on the first and fourth vectors; determining, based on the first vector and the semantic similarity, that the entity corresponds to one of the concepts; and generating the prompt information based on the determined concept.


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