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:
Jun. 25, 2024

Filed:

Apr. 08, 2023
Applicant:

Zhejiang Lab, Hangzhou, CN;

Inventors:

Taihao Li, Hangzhou, CN;

Jiantao Huang, Hangzhou, CN;

Assignee:

ZHEJIANG LAB, Hangzhou, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/20 (2020.01); G06F 40/268 (2020.01); G06F 40/284 (2020.01); G06F 40/30 (2020.01); G06N 3/08 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 40/284 (2020.01); G06F 40/268 (2020.01); G06F 40/30 (2020.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01);
Abstract

An open domain dialog reply method and a system based on thematic enhancement are provided. The method includes: collecting and pre-processing text corpuses to obtain Chinese dialog corpus dataset, performing sentence breaking, word separation, and lexical annotation of dialogs and extracting noun words, performing enhancement of semantic and thematic information on each sentence, and learning vector representations of original sentences and enhanced sentences by a pre-trained sentence representation model, performing thematic aggregation enhancement by a graph convolutional neural network, and inputting the sentence vector after the thematic aggregation enhancement into a pre-trained generative model, generating a candidate set of dialog replies, and training a reply ranking selection model with a contrast learning manner to select the most suitable reply.


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