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An English test paper structuring method and device

A structured and test paper technology, applied in structured data retrieval, database model, database management system, etc., to reduce complicated work and improve work efficiency

Active Publication Date: 2019-06-28
江西风向标智能科技有限公司
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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

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

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Embodiment Construction

[0017] For the convenience of understanding 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 previous and subsequent tasks. Each task is a text classification task, which is called multi-stage text classification.

[0019] Text structured: Text is unstructured data. The information contained in the text is extracted in the form of key-value pairs, which is convenient for other tasks to read and reference.

[0020] Sequence labeling: For a piece of text, each text unit is labeled with a category label. Using sequence models such as conditional random fields, hidden Markov, and RNN to predict future new texts, the process of predicting category labels for each text unit.

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

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Abstract

An English test paper structuring method comprises the following steps: S1, converting a word format English test paper into an html format, and converting the html format English test paper into a txt format; S2, realizing question description and question content segmentation of the English test paper, the question description refers to a description statement of a test paper structure, a question type and a score, and the question content is not involved; S3, identifying the types of the English questions, namely identifying the types of the questions by utilizing each question descriptionand question contents; S4, carrying out secondary segmentation on each question type, extracting question numbers, question stems, options and option content information in question contents, classifying the question stems and the options, classifying short texts and non-short texts, and identifying and extracting ABCD and option contents in the options; S5, structuring the answers, wherein the answers are divided into hearing materials, short text answers, short text error correction answers, word answers and ABCD option answers; and S6, matching and fusing the question content structured information with answers.

Description

technical field [0001] The invention belongs to the technical field of intelligent education, and in particular 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, 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...

Claims

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Application Information

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Patent Type & Authority Applications(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
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