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Composition off-topic detection method and system

A detection method and composition technology, applied in the direction of unstructured text data retrieval, text database clustering/classification, special data processing applications, etc., can solve the problems that the accuracy needs to be improved, so as to reduce interference, ensure comprehensiveness, improve The effect of accuracy

Pending Publication Date: 2022-01-07
SHANGHAI LIULISHUO INFORMATION TECH CO LTD
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Problems solved by technology

[0003] Although the composition digression detection by the machine can impr

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  • Composition off-topic detection method and system
  • Composition off-topic detection method and system
  • Composition off-topic detection method and system

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Embodiment Construction

[0079] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0080] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0081] like figure 1 As shown, the flow chart of Embodiment 1 of a composition digression detection method provided by this application may include the following steps:

[0082] Step S11, obtaining the topic sentence and the compositio...

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Abstract

The invention provides a composition off-topic detection method and system. The method comprises the following steps: extracting problem key features from topic sentence codes by a neural network model; extracting key answer features from the composition codes, and inputting the key question features and the key answer features to an attention mechanism layer. It is ensured that the features input to the attention mechanism layer are key features, interference caused by other useless features to data processing of the attention mechanism layer is reduced, and the accuracy of data processing of the attention mechanism layer is improved. On the basis, the attention mechanism layer determines features of subject sentences concerned by the composition and features of the composition concerned by the subject sentences, the features are selected from two directions, the comprehensiveness of the selected features is ensured, the neural network model can perform classification based on more comprehensive features, the accuracy of the classification result is improved, and therefore, the detection accuracy is improved.

Description

technical field [0001] The present application relates to the technical field of digression detection, in particular to a composition digression detection method and system. Background technique [0002] With the development of artificial intelligence technology, more and more jobs can be replaced by machines, for example, composition digression detection can be performed by machines. [0003] Although the composition digression detection by the machine can improve work efficiency, the accuracy of the detection still needs to be improved. Contents of the invention [0004] In order to solve the above technical problems, the embodiment of the present application provides a composition digression detection method and system, in order to achieve the purpose of improving the accuracy of answer text recognition, the technical solution is as follows: [0005] A composition digression detection method, comprising: [0006] Obtaining a topic sentence and a composition correspond...

Claims

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Application Information

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IPC IPC(8): G06F16/35G06N3/04
CPCG06F16/353G06N3/048G06N3/045
Inventor 王永杰
Owner SHANGHAI LIULISHUO INFORMATION TECH CO LTD
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