Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Training corpus generation method of intention recognition model and related equipment thereof

A technology for training corpus and identifying models, which is applied in the field of big data, can solve problems such as low accuracy, inconsistent model prediction modes, and inability to judge the dependence of customers' AI inquiries, so as to achieve the effect of ensuring high efficiency and high accuracy

Active Publication Date: 2021-02-23
PING AN TECH (SHENZHEN) CO LTD
View PDF4 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, since it is impossible to judge the dependence of customer intentions on AI inquiries in the actual production process, the prediction parameters of the input model all contain AI inquiries.
This leads to inconsistency between the model training mode and the model prediction mode, which makes the accuracy of the intent recognition model in production lower than that in the training environment

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Training corpus generation method of intention recognition model and related equipment thereof
  • Training corpus generation method of intention recognition model and related equipment thereof
  • Training corpus generation method of intention recognition model and related equipment thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0054] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field of the application; the terms used herein in the description of the application are only to describe specific embodiments The purpose is not to limit the present application; the terms "comprising" and "having" and any variations thereof in the specification and claims of the present application and the description of the above drawings are intended to cover non-exclusive inclusion. The terms "first", "second" and the like in the description and claims of the present application or the above drawings are used to distinguish different objects, rather than to describe a specific order.

[0055] Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The occurrenc...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The embodiment of the invention belongs to the field of big data, is applied to the field of smart medical treatment, and relates to a training corpus generation method of an intention recognition model and related equipment of the training corpus generation method. Wherein the customer answer corpus comprises an inquiry related corpus and a non-inquiry related corpus; establishing an inquiry related corpus and a non-inquiry related corpus; adjusting the inquiry-related corpus and the non-inquiry-related corpus based on the similarity between the non-inquiry-related corpus and the inquiry-related corpus to obtain a target inquiry-related corpus and a target non-inquiry-related corpus; establishing a first training sample based on the target inquiry related corpus; establishing a second training sample based on the intention label and a non-inquiry related corpus; and taking the first training sample and the second training sample as training corpora and outputting the training corpora.Wherein the training corpus can be stored in a block chain. The quality of the training corpus is improved.

Description

technical field [0001] This application relates to the field of big data technology, and in particular to a training corpus generation method for an intent recognition model and related equipment. Background technique [0002] With the continuous change and development of computer technology, artificial intelligence has been gradually applied in various industries to improve people's lives. Human-computer dialogue is an important development field of artificial intelligence. The dialogue scenes are complex and diverse, requiring the computer to accurately identify the customer's intentions during the dialogue, so as to facilitate better dialogue. [0003] At present, most human-machine dialogues use intent recognition models to identify customer intentions. In some scenarios, customer intentions rely on AI (Artificial Intelligence, artificial intelligence) inquiries, and in some scenarios, customer intentions do not rely on AI inquiries. Therefore, in the training process o...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/33G06F16/332G06K9/62
CPCG06F16/3329G06F16/3344G06F18/214Y02D10/00
Inventor 孙向欣
Owner PING AN TECH (SHENZHEN) CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com