Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

English test paper structuring method and device

A structured and test paper technology, applied in the direction of structured data retrieval, database model, database management system, etc., to achieve the effect of reducing complicated work and improving work efficiency

Active Publication Date: 2022-05-24
江西风向标智能科技有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Based on natural language processing technology, combined with deep learning, under the condition of a large number of labeled samples, text segmentation and information extraction are realized, which is the technical trend of automatic processing of existing test papers. However, due to the particularity of English test papers, there is no particularly accurate treatment

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
  • English test paper structuring method and device
  • English test paper structuring method and device
  • English test paper structuring method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] In order to facilitate the understanding of the present invention, the related terms that may be involved are explained as follows:

[0018] Multi-stage text classification: A large task can be decomposed into multiple small tasks, and there is continuity between the tasks before and after. Each task is a text classification task, called multi-stage text classification.

[0019] Structured text: Text is unstructured data. Extract the information contained in the text in the form of key-value pairs for easy reading and reference by other tasks.

[0020] Sequence labeling: For a piece of text, label each text unit with a class label. The process of predicting the category label of each text unit for new text in the future using sequence models such as conditional random fields, hidden Markov, and RNN.

[0021] Conditional random field: It is a conditional probability distribution model P(Y|X), which represents a Markov random field of another set of output random varia...

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

A method for structuring an English test paper, comprising the steps of: S1. converting the word format English test paper into an html format, and then converting the html format into a txt format; S2, dividing the description of the title of the English test paper from the content of the title, and the description of the title refers to the test paper Explanatory sentences for structure, question type, and score value do not involve the content of the question itself; S3, English question type identification, uses each question description and question content to identify the question type; S4, each question type is divided twice, and the content of the question is extracted The question number, question stem, options, option content information, also includes the classification of question stems and options, essay and non-essay classification, ABCD in options and option content identification and extraction; S5, structuring the answers, including dividing the answers into These are: listening materials, essay answers, essay correction answers, word answers, ABCD option answers; S6, match and integrate the structured information of the topic content with the answers.

Description

technical field [0001] The invention belongs to the technical field of intelligent education, and particularly relates to an English test paper structuring method and device. Background technique [0002] Natural language processing technology is a subfield of artificial intelligence. With the development of deep learning technology, the performance of natural language processing combined with deep learning has made breakthroughs in various classic projects. Text segmentation and information extraction technology has been a hot area of ​​research by scholars for a long time, and it is also a business scenario encountered in all walks of life. Based on natural language processing technology, combined with deep learning, under the condition of a large number of labeled samples, the realization of text segmentation and information extraction is the technical trend of automatic processing of existing test papers. However, for English test papers, due to the particularity of Eng...

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 Patents(China)
IPC IPC(8): G06F16/25G06F16/28
Inventor 李巧艳解辉
Owner 江西风向标智能科技有限公司
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
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