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Automatic paper marking method for discussion questions based on Wikipedia and WordNet

A Wikipedia, automated technology for educational technology and computer applications

Pending Publication Date: 2019-07-26
GUANGXI NORMAL UNIV
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Problems solved by technology

In the is-a classification hierarchy of WordNet's "branch of knowledge" synonym group, there are more than 700 different disciplines, and each discipline associates the important concepts of this discipline through the TOPIC TERM relationship , forming a conceptual map of this discipline, but there are no related reports on its application in automatic marking

Method used

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  • Automatic paper marking method for discussion questions based on Wikipedia and WordNet
  • Automatic paper marking method for discussion questions based on Wikipedia and WordNet
  • Automatic paper marking method for discussion questions based on Wikipedia and WordNet

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Embodiment Construction

[0084] The present invention will be further described below in conjunction with specific examples, but the protection scope of the present invention is not limited to the following examples.

[0085] An automatic marking method for essay questions based on Wikipedia and WordNet, such as figure 1 shown, including the following steps:

[0086] (1) Preprocessing of semantic description:

[0087] A1. Use Wikipedia and WordNet to generate the conceptual space Concept_Space and the domain concept page set Page_Set in the field where the essay questions are located;

[0088] A2. On the basis of the generated domain concept space and domain concept page set, further use Wikipedia and WordNet to generate domain term synonym sets;

[0089] A3. Take the domain concept space Concept_Space of the essay question as the dimension, and use the corresponding concept page in the domain concept page set Page_Set as the corpus, calculate the weight of each dimension, and generate a correspondi...

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Abstract

The invention provides an automatic paper marking method for discussion questions based on Wikipedia and WordNet. An initial trunk concept space of a domain subject is formed through WordNet; a concept space, a term set and a domain concept page set of a domain subject are formed through wikipedia and WordNet expansion; secondly, semantic description vectors are established for the domain terms through the concept space of the subject and the concept page set; finally, corresponding text semantic description vectors are established for the teacher answer text and the student answer text of theargument respectively through term semantic description, the score of the argument can be automatically obtained by calculating the similarity of the answer text and the answer text semantic description vectors, and the scoring precision can be improved.

Description

technical field [0001] The invention relates to the fields of educational technology and computer application technology, in particular to an automatic marking method for essay questions based on Wikipedia and WordNet. Background technique [0002] The test questions in the test paper are generally divided into two categories: objective questions and subjective questions in terms of the form of answer composition. Test questions such as multiple-choice questions, multiple-choice questions, and judgment questions whose answers are expressed in option numbers are called objective questions, while short-answer questions, noun explanations, and essay questions whose answers are expressed in natural language are called subjective questions. Since the answers to objective questions such as single-choice questions, multiple-choice questions, and judgment questions are all represented by option numbers, at present, when the computer automatically grades this type of questions, it on...

Claims

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Application Information

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IPC IPC(8): G06F17/27G06F17/22
CPCG06F40/194G06F40/279G06F40/35G06F40/247
Inventor 朱新华徐庆婷张兰芳张波
Owner GUANGXI NORMAL UNIV
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