Labeling quality detection method and device, computer equipment and storage medium

A detection method and detection device technology, applied in the field of text processing, can solve problems such as labeling errors, and achieve the effects of saving manpower, improving detection efficiency, and reducing the number of

Inactive Publication Date: 2019-12-24
SHENZHEN ZHUIYI TECH CO LTD
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Annotators are engaged in repetitive and boring labeling work every day, which is prone to labeling errors

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
  • Labeling quality detection method and device, computer equipment and storage medium
  • Labeling quality detection method and device, computer equipment and storage medium
  • Labeling quality detection method and device, computer equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0052] The detection method of marking quality provided by this application can be applied to such as figure 1 shown in the application environment. Wherein, the application environment includes a terminal 01, and the terminal 01 receives the text data marked by the labeler for the target data. The terminal 01 can be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers and portable wearable devices.

[0053] In one embodiment, such as figure 2 As shown, a detection method for marking quality is provided, and this method is...

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 invention relates to an annotation quality detection method and device, computer equipment and a storage medium. The method comprises the steps of obtaining multiple parts of first text data obtained after a labeler labels multiple parts of target data separately; a neural network recognition model is adopted to recognize the multiple parts of target data, and multiple parts of second text data are obtained; screening out first text data to be subjected to full inspection and first text data to be subjected to casual inspection from the plurality of parts of first text data; wherein the first text data to be subjected to full inspection is first text data not matched with the second text data, and the first text data to be subjected to casual inspection is first text data matched withthe second text data. According to the embodiment of the invention, on the premise of ensuring the labeling quality, the number of full inspection is reduced, and the detection efficiency is improved.

Description

technical field [0001] The present application relates to the technical field of text processing, and in particular to a method, device, computer equipment and storage medium for detecting label quality. Background technique [0002] With the development of science and technology, artificial intelligence (AI) is gradually applied to various fields. For example, artificial intelligence is used for speech recognition, image recognition, etc. In the recognition process, a deep learning model is often used, and obtaining a deep learning model requires a large number of training samples. [0003] Usually, the training samples are obtained by labeling the voice data and image data, and establishing the corresponding relationship between audio data and text data, as well as image data and text data. [0004] Annotators are engaged in repetitive and boring labeling work every day, which is prone to labeling errors. In order to ensure the quality of labeling, reviewers will conduc...

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): G06F17/27G06F16/33G06N3/04
CPCG06F16/33G06N3/044
Inventor 付嘉懿石真涂臻
Owner SHENZHEN ZHUIYI TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap