Data processing method and device, target recognition model training method and device and target recognition method and device

A target recognition and data processing technology, applied in the computer field, can solve the problems of labeling information data noise, affecting the accuracy of the target recognition model, artificial missing labels, etc., and achieve the effect of removing data noise

Pending Publication Date: 2021-08-13
BEIJING KINGSOFT DIGITAL ENTERTAINMENT CO LTD
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The annotation information of the training text is generally annotated by humans. However, as the number of training texts in the training set increases, this inevitably leads to artificial omissions and mislabeling, which makes the training text in the training set There is a certain amount of data noise in the label information, which affects the accuracy of the target recognition model

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
  • Data processing method and device, target recognition model training method and device and target recognition method and device
  • Data processing method and device, target recognition model training method and device and target recognition method and device
  • Data processing method and device, target recognition model training method and device and target recognition method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the application. However, the present application can be implemented in many other ways different from those described here, and those skilled in the art can make similar promotions without violating the connotation of the present application. Therefore, the present application is not limited by the specific implementation disclosed below.

[0059] Terms used in one or more embodiments of the present application are for the purpose of describing specific embodiments only, and are not intended to limit the one or more embodiments of the present application. As used in one or more embodiments of this application and the appended claims, the singular forms "a", "the", and "the" are also intended to include the plural forms unless the context clearly dictates otherwise. It should also be understood that the term "and / or" used in one or more embodiments of th...

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 provides a data processing method and device, a target recognition model training method and device and a target recognition method and device, and the data processing method comprises the steps: training a plurality of different target recognition models based on an obtained training set, and then carrying out target recognition of each training text in the training set by each target recognition model obtained through training, acquiring the target recognition result of each training text, and if the target recognition result of the training text is inconsistent with the labeling information of the training text for any training text, indicating that the labeling information of the training text is inaccurate, so that labeling information of the training text in the training set is updated; therefore, the data noise of the annotation information of the training text in the training set is removed.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a data processing method and device, a target recognition model training method and device, a target recognition method and device, computing equipment, and a computer-readable storage medium. Background technique [0002] In natural language processing tasks, there are more and more demands for target recognition tasks, such as entity recognition. Entity recognition is also called "proper name recognition", which refers to the recognition of entities with specific meanings in texts, mainly including names of people, places, organizations, etc. names, proper nouns, etc. [0003] In the current target recognition task, the deep learning method is usually used, specifically, the target recognition model obtained by inputting the text to be recognized in advance. The target recognition model is an end-to-end neural network model, which can directly output the text to be ...

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): G06F40/295G06F16/33G06F16/35G06N3/04G06N3/08
CPCG06F40/295G06F16/3344G06F16/35G06N3/08G06N3/044
Inventor 王得贤李长亮毛璐
Owner BEIJING KINGSOFT DIGITAL ENTERTAINMENT 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