Text label marking device and method, and computing device

A text label and equipment technology, applied in computing, special data processing applications, instruments, etc., can solve the problems of time-consuming, labor-intensive, efficiency, and increase the work intensity of teachers.

Active Publication Date: 2018-07-27
BEIJING YUNJIANG TECH CO LTD
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  • Abstract
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AI Technical Summary

Problems solved by technology

However, this method increases the workload of the teacher, which is very time-consuming and laborious, and the efficiency is too low

Method used

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  • Text label marking device and method, and computing device
  • Text label marking device and method, and computing device
  • Text label marking device and method, and computing device

Examples

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Embodiment Construction

[0042] 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.

[0043] figure 1 is a block diagram of an example computing device 100 . In a basic configuration 102 , computing device 100 typically includes system memory 106 and one or more processors 104 . A memory bus 108 may be used for communication between the processor 104 and the system memory 106 .

[0044] Depending on the desired configuration, processor 104 may be any type of processing including, but not limited to, a microprocess...

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Abstract

The invention discloses a text label marking device, which is used for marking a text label. The device comprises an input module suitable to receive text inputs and convert and output texts to a vector matrix, a convolutional neural network module connected with the input module and suitable to output local semantic features of the texts according to the vector matrix, a recurrent neural networkmodule connected with the input module and suitable to output long-distance semantic features of the texts according to the vector matrix, an attention model module connected with the convolutional neural network module and the recurrent neural network module and suitable to output weights of individual characters in the texts according to the local semantic features and the long-distance semanticfeatures, and an output module connected with the attention model module and suitable to receive the weights of the individual characters in the texts and output text labels and probabilities of thelabels. The invention furthermore discloses a training method for the text label marking device, a corresponding text label marking method and a computing device.

Description

technical field [0001] The present invention relates to the field of text data analysis, in particular to a text labeling device and a training method, a text labeling method and a computing device. Background technique [0002] With the development of computer and Internet technology, exercises and examination questions in primary and secondary education, and even university education have been electronically stored, and can be uploaded to the network for students to use. The number of questions will increase over time. Since each topic involves specific knowledge points and has specific difficulty, it will become very difficult to find a topic that covers certain knowledge points and has specific individual topics from a large number of topics. The current common solution is: the teacher and teaching assistants manually mark the topic to specify which knowledge points the topic corresponds to. However, this method increases the work intensity of the teacher, which is ver...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06N3/04
CPCG06F40/289G06F40/30G06N3/045
Inventor 郭龙张东祥陈李江
Owner BEIJING YUNJIANG TECH CO LTD
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