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Subjective question scoring method and device

A technology of subjective questions and question stems, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of low accuracy and low efficiency of subjective questions, and achieve improved scoring efficiency, reduced workload, and accuracy. high effect

Active Publication Date: 2019-08-06
安徽省泰岳祥升软件有限公司
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Problems solved by technology

[0005] This application provides a method and device for scoring subjective questions to solve the problems of low accuracy and low efficiency when scoring subjective questions in the automatic marking method of the existing system

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  • Subjective question scoring method and device
  • Subjective question scoring method and device
  • Subjective question scoring method and device

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Embodiment Construction

[0032] In order to enable those skilled in the art to better understand the technical solutions in the present application, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described The embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0033] With the development of computer network, network examination has become one of the main examination forms. After the examiner connects the test computer to the designated network system, the candidates answer on the computer and upload the answers to the network system for marking by the examiners. Usually, the scoring method...

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Abstract

The embodiment of the invention provides a subjective question evaluation method and device, and the method comprises the steps: receiving the score associated data of a subjective question; calculating semantic similarity values of the standard answer data and the test paper answer data; calculating a basic score coefficient of the subjective question by utilizing a basic score equation corresponding to the question stem data and the semantic similarity value; calculating an additional score coefficient corresponding to the test paper answer data and a preset additional score dimension; calculating a final score coefficient corresponding to the ontology vector by utilizing a final score model, and obtaining a final score by calculating the product of the final score coefficient and the total score of the subjective question. The final score obtained by the invention comprises evaluation of multiple dimensions on subjective questions, so that the score is closer to real demands and higher in accuracy, thereby greatly reducing the workload of manual rechecking, improving the scoring efficiency, and effectively solving the problems of low accuracy and low efficiency when the subjective questions are scored by an existing system automatic paper scoring mode.

Description

technical field [0001] The present application relates to the technical field of natural language processing, in particular to a method and device for scoring subjective questions. Background technique [0002] With the development of computer network, network examination has become one of the main examination forms. After the examiner connects the test computer to the designated network system, the candidates answer on the computer and upload the answers to the network system for marking by the examiners. Usually, the scoring methods of test paper answers are mainly divided into two types: manual marking and system automatic marking and manual review. [0003] Due to the high cost and low efficiency of manual marking, manual marking is gradually replaced by automatic system marking. At present, the automatic marking method of the system is mainly used in the scoring of objective questions. With the continuous development of natural language processing technology, the aut...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06N20/00
CPCG06N20/00G06F40/289G06F40/30
Inventor 晋耀红李德彦吴相博
Owner 安徽省泰岳祥升软件有限公司
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