Method, device, equipment and medium for determining test scores based on artificial intelligence

A determination method and artificial intelligence technology, applied in the field of semantic parsing, which can solve problems such as unfixed answer standards and inability to accurately review semi-open questions.
CN112989826BActive Publication Date: 2021-07-20PING AN TECH (SHENZHEN) CO LTD
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
PING AN TECH (SHENZHEN) CO LTD
Publication Date
2021-07-20

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Abstract

The invention relates to semantic analysis, and provides an artificial intelligence-based method, device, equipment and medium for determining test scores. The present invention can accurately determine whether the user's answer is plagiarized through the Hamming distance of the standard vector and the user vector, and respectively analyzes the standard vector, the user vector and the test question vector through the preset encoder, and can make the test question feature vector, standard feature vector and Each element in the user feature vector integrates the contextual semantic information of the corresponding vocabulary. Through the similarity weighted operation of the standard feature vector and the user feature vector, the words with greater similarity between the user answer and the standard answer can be used in subsequent tasks. The semi-open-ended question can be accurately determined by analyzing the semantic similarity between the user's answer and the standard answer, and the matching degree between the user's answer and the test questions to be scored. In addition, the present invention also relates to blockchain technology, and the target score can be stored in the blockchain.
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Description

technical field

[0001] The present invention relates to the technical field of semantic analysis, in particular to an artificial intelligence-based method, device, equipment and medium for determining test scores. Background technique

[0002] In the training scenario, it is usually necessary to judge the user's learning effect through examinations to judge the quality of the training effect at a certain stage, and then improve the training method and direction. However, training exams usually contain a lot of subjective questions (such as essay questions, etc.). Due to the heavy workload and inconsistent standards of manual scoring, it is impossible to accurately and quickly score the test questions. For this reason, the automatic review technology of test questions is also produced.

[0003] In existing technical schemes for automatically reviewing test questions, only the semantic similarity between the student's answer and the standard answer is often considered, that i...

Claims

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