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Named entity identification method and device, computer equipment and storage medium

A named entity recognition and entity recognition technology, which is applied in computing, instruments, and electronic digital data processing, can solve the problems of human resource consumption and weak generalization ability, and achieve the goal of improving recall rate and accuracy class, and improving generalization ability Effect

Pending Publication Date: 2020-06-30
深圳平安医疗健康科技服务有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the embodiments of the present application is to propose a method for named entity recognition, which aims to solve the problems of weak generalization ability and large human resource consumption of traditional named entity recognition methods

Method used

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  • Named entity identification method and device, computer equipment and storage medium
  • Named entity identification method and device, computer equipment and storage medium
  • Named entity identification method and device, computer equipment and storage medium

Examples

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Embodiment 1

[0037] figure 1 A flow chart of the realization of the named entity recognition method provided by Embodiment 1 of the present invention is shown, and for the convenience of description, only the parts related to the present invention are shown.

[0038] In step S101, a recognition request carrying original text sent by a user terminal is received.

[0039] In the embodiment of the present invention, the user terminal may be, for example, a mobile phone, a smart phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a navigation device, etc. Mobile terminals such as mobile terminals such as digital TVs and desktop computers, etc., and fixed terminals such as digital TVs, desktop computers, etc., it should be understood that the examples of user terminals here are only for convenience of understanding, and are not used to limit the present invention.

[0040] In the embodiment o...

Embodiment 2

[0129] further reference Figure 5 , as for the above figure 1 The realization of the method shown, the present application provides a named entity recognition device, the embodiment of the device is the same as figure 1 Corresponding to the illustrated method embodiments, the apparatus can be specifically applied to various electronic devices.

[0130] Such as Figure 5 As shown, the named entity recognition device 100 provided by Embodiment 2 of the present invention includes: a request receiving module 101 , a preprocessing module 102 , a result prediction module 103 , a result confirmation module 104 and a result output module 105 . in:

[0131] The request receiving module 101 is configured to receive the recognition request carrying the original text sent by the user terminal;

[0132] A preprocessing module 102, configured to perform a preprocessing operation on the original text to obtain annotation data;

[0133] The result prediction module 103 is used to input ...

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Abstract

The embodiment of the invention belongs to the technical field of artificial intelligence, and relates to a named entity identification method. The method comprises the steps: receiving an identification request carrying an original text sent by a user terminal; carrying out preprocessing operation on the original text to obtain annotation data; inputting the annotation data into a trained entityprediction model to perform entity prediction operation, and obtaining an entity prediction result; taking the entity prediction result meeting a prediction threshold as an entity identification result; and outputting the entity identification result to the user terminal. The invention further provides a named entity recognition device, computer equipment and a storage medium. The generalization ability of the model is improved; disease entities which do not appear in the dictionary base can also be identified and processed; a new disease combination entity can also be identified; the model can identify the disease entity according to the context semantic information, and the recall rate and accuracy of the model are improved.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular to a named entity recognition method, device, computer equipment and storage medium. Background technique [0002] Named Entity Recognition (NER) in electronic medical records is to find out some clinical entities related to patients from the descriptive text of electronic medical records, such as the patient's diseased part, symptoms, used drugs and operations, etc. . Named entity recognition of Chinese electronic medical records is the key to information extraction of Chinese electronic medical records, which can lay the foundation for Chinese health information processing such as medical record retrieval, disease prediction, and construction of medical knowledge graphs. However, there are many unregistered words in electronic medical records, and the number continues to increase. Moreover, compared with English, the recognition task of Chinese named...

Claims

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Application Information

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IPC IPC(8): G06F40/295
Inventor 孙安国
Owner 深圳平安医疗健康科技服务有限公司
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