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Text enhancement method and system based on word interpretation

A text and word technology, applied in the computer field, can solve the problems of low accuracy and poor model training effect, and achieve the effect of improving the accuracy.

Pending Publication Date: 2021-11-02
杭州费尔斯通科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides a method and system for text enhancement based on word interpretation, to at least solve the problem of model training in the related art when there are words with insufficient relevant corpus such as new words in the text when classifying text. The problem of poor effect and low accuracy

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  • Text enhancement method and system based on word interpretation
  • Text enhancement method and system based on word interpretation
  • Text enhancement method and system based on word interpretation

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Embodiment Construction

[0033] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be described and illustrated below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application. In addition, it can also be understood that although such development efforts may be complex and lengthy, for those of ordinary skill in the art relevant to the content disclosed in this application, the technology disclosed in this application Some design, manufacturing or production changes based on the content are just conventional technical means, and...

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Abstract

The invention relates to a text enhancement method and system based on word interpretation, and the method comprises the steps of obtaining a to-be-tested text, and obtaining an interpretation sentence of a target word in the to-be-tested text; then preprocessing a to-be-tested text, for a text classification task taking the target word as a label, setting an explaining sentence of the target word as a label, and for a text classification task not taking the target word as the label, adding the explaining sentence of the target word into the text; and finally, training the natural language classification model through the preprocessed text, so that the problems that the model training effect is poor and the accuracy rate is low when the text is classified and words with insufficient related corpora such as new words exist in the text are solved, and the accuracy rate of the model is improved.

Description

technical field [0001] The present application relates to the field of computers, in particular to a method and system for text enhancement based on word interpretation. Background technique [0002] In the application scenario of artificial intelligence, natural language processing tasks based on machine learning require a large amount of corpus to train the model. Therefore, the effect of the natural language processing model depends quite a lot on the content of the corpus. When the corpus is insufficient, the accuracy and recall of the model will not be ideal; or when the corpus data is unbalanced, such as in text classification When the data volume of some labels is much larger than that of other labels, the model will pay too much attention to the label data with a large amount of data, and the accuracy and recall rate of labels with insufficient samples will be low. Therefore, it is necessary to enhance the text, that is, to generate more corpus from the existing cor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/284G06F40/289G06F40/211
CPCG06F40/284G06F40/289G06F40/211
Inventor 赵鹏阳杨红飞
Owner 杭州费尔斯通科技有限公司
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