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Medical word labeling method, medical word mapping method, medical word labeling device and medical word mapping equipment

A word and medical technology, applied in the computer field, can solve the problems of long time spent and low labeling efficiency, and achieve the effect of improving accuracy, reducing the dependence on labeling data, and saving the time of manual labeling

Active Publication Date: 2021-06-18
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this artificial labeling method takes a long time and the labeling efficiency is low

Method used

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  • Medical word labeling method, medical word mapping method, medical word labeling device and medical word mapping equipment
  • Medical word labeling method, medical word mapping method, medical word labeling device and medical word mapping equipment
  • Medical word labeling method, medical word mapping method, medical word labeling device and medical word mapping equipment

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Embodiment Construction

[0098] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the following will further describe the embodiments of the present application in detail in conjunction with the accompanying drawings.

[0099]The terms "first", "second", "third" and the like used in the present application may be used herein to describe various concepts, but unless otherwise specified, these concepts are not limited by these terms. These terms are only used to distinguish one concept from another. For example, a first symptom-descriptive statement could be termed a second symptom-descriptive statement, and, similarly, a second symptom-descriptive statement could be termed a first symptom-descriptive statement, without departing from the scope of the present application.

[0100] The terms "at least one", "multiple", "each" and "any" used in this application, at least one includes one, two or more than two, multiple includes two or m...

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Abstract

The embodiment of the invention discloses a medical word labeling method, a medical word mapping method, a medical word labeling device and medical word mapping equipment, and belongs to the technical field of computers. The method comprises the steps of obtaining a first symptom description statement and a reply statement for the first symptom description statement, generating annotation information of the first symptom description statement based on medical words contained in the reply statement, training a word annotation model according to the first symptom description statement and the annotation information, calling the trained word annotation model, and marking the second symptom description statement to obtain the medical word corresponding to the second symptom description statement, training the word marking model by adopting the first symptom description statement and the reply statement for the first symptom description statement, realizing unsupervised training of the word marking model, and further, through the trained word marking model, automatically labeling the symptom description statement. The manual labeling time is saved, and the labeling efficiency is improved.

Description

technical field [0001] The embodiments of the present application relate to the field of computer technology, and in particular to a medical word labeling method, a medical word mapping method, device and equipment. Background technique [0002] With the development of computer technology, the technical application of semantic recognition is more and more extensive. For example, in a medical scenario, using semantic recognition technology, the colloquial symptom description sentence input by the user can be mapped to medical words, so that the user can be provided with medical services based on the medical words. [0003] In related technologies, the medical words with the same meaning as the input sentence are marked according to the meaning expressed by the input sentence by using artificial labeling, and the network model is trained according to the labeling results, so that subsequent based on the trained network model , to determine the medical words corresponding to a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/169G06F40/247G06F40/289
CPCG06F40/169G06F40/247G06F40/289
Inventor 施晓明陈曦张子恒
Owner TENCENT TECH (SHENZHEN) CO LTD
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