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

Label generation method and device, storage medium and computer equipment

A label and target label technology, applied in the information field, can solve the problems of low label accuracy and inability to extract words in multiple categories, and achieve the effect of improving accuracy

Inactive Publication Date: 2022-07-08
PING AN TECH (SHENZHEN) CO LTD
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method can only recognize words of a single category in the text as labels, and cannot extract words of multi-category combinations as labels in the text. For example, only the label "vaccine" can be extracted, but "children's vaccines" cannot be extracted. labels, thus, resulting in lower accuracy for label generation in the text

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
  • Label generation method and device, storage medium and computer equipment
  • Label generation method and device, storage medium and computer equipment
  • Label generation method and device, storage medium and computer equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] Hereinafter, the present invention will be described in detail with reference to the accompanying drawings and in conjunction with embodiments. It should be noted that the embodiments in the present application and the features of the embodiments may be combined with each other in the case of no conflict.

[0033] At present, only a neural network model is used to identify entities in the text, and the entity is used to determine the label in the text, only part of the label in the text can be identified, but the corresponding entity in the text cannot be identified. labels, reducing the accuracy of label generation in the text.

[0034] In order to solve the above problem, an embodiment of the present invention provides a method for generating a label, such as figure 1 As shown, the method includes:

[0035] 101. Obtain the label text to be generated.

[0036] Wherein, the label text to be generated may be one or more texts, or may be one or more paragraphs of sente...

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 discloses a label generation method and device, a storage medium and computer equipment, relates to the technical field of information, and mainly aims to improve the label generation precision. The method comprises the steps of obtaining a to-be-generated label text; inputting the to-be-generated tag text into a preset entity recognition model for entity recognition to obtain an entity contained in the to-be-generated tag text; inputting the to-be-generated tag text and the entity into a preset tag generation model for tag identification to obtain each tag contained in the to-be-generated tag text; and based on each tag, determining a target tag in the to-be-generated tag text. The method and the device are suitable for generating labels.

Description

technical field [0001] The present invention relates to the field of information technology, and in particular, to a method, device, storage medium and computer equipment for generating a label. Background technique [0002] The tags in the text are keywords abstracted from the language description, which can summarize the main information of the text, and can provide the basis for subsequent natural language processing by generating tags in the text. Handling is important. [0003] At present, only neural network models are usually employed to identify words in text and assign the words to labels in the text. However, this method can only identify a single category of words in the text as tags, and cannot extract words in multiple categories as tags in the text. For example, only the "vaccine" tag can be extracted, but "children's vaccine" cannot be extracted. labels, therefore, lead to lower precision in label generation in the text. SUMMARY OF THE INVENTION [0004] ...

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): G06F40/295G06F40/30G06N3/04
CPCG06F40/295G06F40/30G06N3/044
Inventor 胡兴郝碧波李春宇
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