A method for grading subjective questions

A subjective question and word segmentation technology, applied in semantic analysis, special data processing applications, instruments, etc., can solve problems such as immaturity, different scoring results, time-consuming and labor-intensive, etc., to improve the effect of use and expand the scope of application.

Active Publication Date: 2019-01-15
成都佳发安泰教育科技股份有限公司
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AI Technical Summary

Problems solved by technology

Due to the wide variety of ambiguity and polysemy at all levels of natural language, the application of computers to analyze natural language is not yet mature enough to reach the stage of use.
[0004] In the traditional marking process, a lot of manpower and time are spent on intermediate waiting links such as loading, reading, and delivery, which is time-consuming and labor-intensive, and the efficiency of marking is very low
On the other hand, the traditional marking method has a strong subjectivity
For the same topic, the final scoring results may be different or even greatly different due to different markers

Method used

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  • A method for grading subjective questions
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Embodiment Construction

[0023] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0024] Such as figure 1 Shown is a block diagram of a method according to an embodiment of the present invention, wherein the method includes: sentence preprocessing, including sentence segmentation, word segmentation, part-of-speech tagging, keyword detection, and sentence sentiment scoring for the target paragraph; feature extraction, including rooting Based on the word segmentation results, word vector extraction, sentence vecto...

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Abstract

A method for grading subjective questions includes sentence preprocessing, feature extraction, feature fusion, similarity calculation and comprehensive scoring. Wherein, the sentence preprocessing isused for clause, word segmentation, keyword detection, part-of-speech tagging and sentence emotion analysis of the target paragraph. The feature extraction algorithm is used for extracting a word vector, a sentence vector, a word structure and a syntactic structure. The feature fusion is used for fusing a target paragraph containing M sentences into a contrast template containing N templates (N (M): the similarity calculation is used for calculating word similarity and sentence similarity. The comprehensive score is used for constructing a weight model according to the word similarity, sentence similarity, word structure similarity, syntactic structure similarity, keyword score and affective score between the student answers and the comparative template, and then grading the student answers. The invention adapts to the scoring requirements of subjective questions of various disciplines, and good scoring effect can be obtained through training of a small number of samples.

Description

technical field [0001] The invention relates to natural language processing technology, in particular to a scoring method for subjective questions, which is used to score subjective questions by machines. Background technique [0002] With the rapid development of computer technology and communication technology, computers have been applied to various fields of people's lives. In the field of education, computers can not only be applied and assisted in education, but also can be applied and assisted in assessment. Computer-aided assessment is the use of computers in testing and evaluation. The complete computer-aided evaluation system includes four modules: test composition module, test implementation module, review analysis module and question bank management module. Among them, the evaluation and analysis module is the difficulty of the computer-aided evaluation system and has become a research hotspot. [0003] At present, the computer marking technology for objective ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27
CPCG06F40/211G06F40/253G06F40/289G06F40/30Y02D10/00
Inventor 林劼凌云郝玉洁谢维义罗智文唐东林
Owner 成都佳发安泰教育科技股份有限公司
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