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:
Oct. 11, 2022

Filed:

Jan. 23, 2020
Applicants:

Liang Liang, Beijing, CN;

Lei Ding, Beijing, CN;

Bin Dong, Beijing, CN;

Shanshan Jiang, Beijing, CN;

Yixuan Tong, Beijing, CN;

Inventors:

Liang Liang, Beijing, CN;

Lei Ding, Beijing, CN;

Bin Dong, Beijing, CN;

Shanshan Jiang, Beijing, CN;

Yixuan Tong, Beijing, CN;

Assignee:

Ricoh Company, Ltd., Tokyo, JP;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 40/216 (2020.01); G06F 40/30 (2020.01); G06F 16/242 (2019.01); G06F 40/56 (2020.01); G06F 40/211 (2020.01);
U.S. Cl.
CPC ...
G06F 40/216 (2020.01); G06F 16/243 (2019.01); G06F 40/211 (2020.01); G06F 40/30 (2020.01); G06F 40/56 (2020.01);
Abstract

An intention identification method includes generating a heterogeneous text network based on a language material sample; using a graph embedding algorithm to perform learning with respect to the heterogeneous text network and obtain a vector representation of the language material sample and a word, and determining keywords of the language material sample based on a similarity in terms of a vector between the language material sample and the word in the language material sample; training an intention identification model until a predetermined training termination condition is satisfied, by using the keywords of the language material samples, and obtaining the trained intention identification model; and receiving a language material query, and using the trained intention identification model to identify an intention of the language material query.


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