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. 19, 2022

Filed:

Jul. 17, 2019
Applicant:

Huawei Technologies Co., Ltd., Shenzhen, CN;

Inventors:

Lifeng Shang, Hong Kong, CN;

Zhengdong Lu, Shenzhen, CN;

Hang Li, Shenzhen, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 5/04 (2006.01); G06F 16/332 (2019.01); G10L 13/08 (2013.01); G10L 15/22 (2006.01); G06F 40/35 (2020.01); G06F 16/33 (2019.01); H04L 12/58 (2006.01); H04L 51/02 (2022.01);
U.S. Cl.
CPC ...
G06N 5/043 (2013.01); G06F 16/3329 (2019.01); G06F 16/3344 (2019.01); G06F 40/35 (2020.01); G10L 13/08 (2013.01); G10L 15/22 (2013.01); H04L 51/02 (2013.01); G10L 2015/225 (2013.01); G10L 2015/228 (2013.01);
Abstract

An apparatus is pre-equipped with a plurality of dialogue robots, and each dialogue robot is configured to conduct a human-computer dialogue based on at least one topic. The method includes: obtaining a text entered by a user; determining at least one topic related to the text, and determining a target dialogue robot from the plurality of dialogue robots based on the at least one topic related to the text and a predefined mapping relationship between a dialogue robot and a topic, where a target topic corresponding to the target dialogue robot is some or all of the at least one topic related to the text; and allocating the text to the target dialogue robot and obtaining a reply for the text from the target dialogue robot, where the reply is generated by the target dialogue robot based on at least one semantic understanding of the text.


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