Test paper correction method and system based on artificial intelligence

A technology of artificial intelligence and test papers, applied in character and pattern recognition, special data processing applications, instruments, etc., can solve the problems of heavy workload of manual review and low efficiency of test paper correction

Active Publication Date: 2019-08-09
杭州笔声智能科技有限公司
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Problems solved by technology

[0005] In view of this, the purpose of this application is to propose a method and system for correcting test papers based on art...

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  • Test paper correction method and system based on artificial intelligence
  • Test paper correction method and system based on artificial intelligence

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Embodiment Construction

[0044] The 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 related inventions, rather than to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

[0045] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0046]The method and system for correcting test papers based on artificial intelligence in the embodiment of the present application corrects the test papers based on computer vision, convolutional neural network and natural language processing technology, first obtains the q...

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Abstract

The test paper correction method provided by the embodiment of the invention comprises the following steps: segmenting question stem image information by utilizing a pre-trained neural network model,and segmenting the question stem image information into a plurality of first fields; identifying question numbers, question types and knowledge points in the plurality of segmented first fields and corresponding position information of the question numbers, the question types and the knowledge points by utilizing a computer identification technology, and generating a unified first segmentation image; segmenting the answer image information by using a neural network model, and segmenting the answer image information into a plurality of second fields; identifying characters, numbers and formulasin the plurality of segmented second fields and corresponding position information of the characters, the numbers and the formulas by utilizing a computer identification technology, and generating aunified second segmented image; and comparing the second segmented image with the corresponding standard answer, and determining a score corresponding to the second segmented image. According to the test paper correction method based on artificial intelligence, the workload of manual reading is reduced, and the test paper correction efficiency is improved.

Description

technical field [0001] The present application relates to the technical field of natural language processing, in particular to an artificial intelligence-based test paper correction method and system. Background technique [0002] With the continuous advancement of computer technology and educational informatization, computer technology has been gradually applied to daily educational and teaching activities, such as in the teaching evaluation scene. Existing basic education in China and the main examination forms of students' learning status are still various types of examinations or tests. In this situation, teachers are under great pressure to correct homework and test papers. In response to this phenomenon, various automatic marking systems have been gradually promoted and adopted in large and medium-sized or high-importance examinations or tests. Such systems can reduce the workload of teachers marking papers to a certain extent. [0003] In the existing automatic marki...

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Application Information

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IPC IPC(8): G06K9/00G06F17/27
CPCG06V30/40G06F40/30
Inventor 张明瞿波张国斌
Owner 杭州笔声智能科技有限公司
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