A word vector-based elementary mathematical problem type automatic extraction method and system

A kind of elementary mathematics, automatic extraction technology, applied in the direction of electrical digital data processing, digital data information retrieval, special data processing applications, etc. Accuracy and the effect of improving user experience

Pending Publication Date: 2019-06-28
江西风向标智能科技有限公司
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0004] The present invention provides a method and system for automatic extraction of elementary mathematics question types based on word vectors, which are used to solve the problems of inaccurate, time-consuming and labor-intensive manual labeling of knowledge points and question types in the prior art

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  • A word vector-based elementary mathematical problem type automatic extraction method and system
  • A word vector-based elementary mathematical problem type automatic extraction method and system
  • A word vector-based elementary mathematical problem type automatic extraction method and system

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Embodiment Construction

[0015] According to one or more embodiments, such as figure 1 As shown, a method for automatic extraction of elementary mathematics question types based on word vectors includes the following steps:

[0016] S1, obtain a large number of elementary mathematics topic texts as data samples, and perform dictionary word segmentation and word vector training;

[0017] S2, extracting sentence templates, and sorting out elementary mathematics question type classification labels accordingly;

[0018] S3, comprehensively classifying short sentences in the topic text, extracting and labeling the topic type.

[0019] The step S1 specifically includes the following steps:

[0020] S11. Collect and sort out a large number of elementary mathematics texts, first perform preprocessing, including text standardization, normalization, stop words removal, etc., and then perform dictionary segmentation on all sentences in it. The dictionary here refers to the general dictionary used for word seg...

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Abstract

A word vector-based elementary mathematics question type automatic extraction method comprises the following steps: S1, carrying out dictionary word segmentation and word vector training by taking a text of a elementary mathematics question as a data sample; S2, extracting sentence templates, and sorting primary mathematical problem types according to the sentence templates; and S3, integrating classification of the short sentences in the question text, extracting question types and labeling the question types.

Description

technical field [0001] The invention belongs to the technical field of intelligent education, and in particular relates to a method and system for automatically extracting elementary mathematics question types based on word vectors. Background technique [0002] In recent years, intelligent education has flourished in China, and artificial intelligence represented by big data and AR is deeply integrating with education. To achieve truly personalized teaching and precise teaching has become one of the goals of intelligent education. As far as elementary mathematics is concerned, the accurate recommendation of topics is an important step, and the accurate division of knowledge points and question types is the primary task of accurate recommendation. The knowledge points and question types of elementary mathematics are very rich, and all kinds of mathematics question banks in the market currently only stay at the level of knowledge point division. Regardless of the thickness o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/332G06F17/27
Inventor 梅阳阳郑文娟
Owner 江西风向标智能科技有限公司
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