Login| Sign Up| Help| Contact|

Patent Searching and Data


Title:
USER INTENTION RECOGNITION METHOD AND APPARATUS, DEVICE, AND COMPUTER-READABLE STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2022/141875
Kind Code:
A1
Abstract:
The present invention relates to the technical field of intelligent decision making. Provided are a user intention recognition method and apparatus, a device, and a computer-readable storage medium. The method comprises: obtaining text information corresponding to speech data input by a user, and inputting the text information into a preset intention classification model to obtain output probabilities of a plurality of preset intention labels for representing speech intentions (S101); determining a preset number of candidate intention labels from the plurality of preset intention labels according to the output probability of each preset intention label (S102); determining a dialogue success rate of each intention node in a preset intention knowledge graph; determining a dialogue success rate of each candidate intention label according to the dialogue success rate of each intention node (S104); and determining the candidate intention label having the highest dialogue success rate as an intention label of the speech data input by the user (S105). A target intention label of a user is determined by combining the preset intention classification model with the dialogue success rate of each intention node in the preset intention knowledge graph.

Inventors:
LI ZHITAO (CN)
WANG JIANZONG (CN)
CHENG NING (CN)
WU TIANBO (CN)
Application Number:
PCT/CN2021/084250
Publication Date:
July 07, 2022
Filing Date:
March 31, 2021
Export Citation:
Click for automatic bibliography generation   Help
Assignee:
PING AN TECH SHENZHEN CO LTD (CN)
International Classes:
G06F16/332
Foreign References:
CN110377911A2019-10-25
CN111897935A2020-11-06
CN111949787A2020-11-17
CN111695352A2020-09-22
US9720981B12017-08-01
Attorney, Agent or Firm:
SHENZHEN ZHONGYI UNION INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)
Download PDF: