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Method, device and computer equipment for entity recognition based on model-based abbreviated data

A technology of entity recognition and abbreviation, applied in the field of artificial intelligence, can solve the problem of low recognition accuracy

Active Publication Date: 2022-04-15
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The main purpose of this application is to provide a model-based entity recognition method, device, computer equipment and storage medium for abbreviated data, aiming to solve the existing abbreviation-full name pair in medical texts for entity recognition of abbreviated data in the data The method has the technical problem of low recognition accuracy

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  • Method, device and computer equipment for entity recognition based on model-based abbreviated data
  • Method, device and computer equipment for entity recognition based on model-based abbreviated data

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Embodiment Construction

[0058] It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.

[0059] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and / or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Additionally, "connected" or "coupled" as used herein may include wireless connec...

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Abstract

This application involves artificial intelligence, providing a model-based entity recognition method, device and computer equipment for abbreviation data, obtaining medical texts; searching for all abbreviations-full name pairs that appear in medical texts; judging the first in the specified abbreviation-full name pair A full name, whether it is the medical alias of the first medical concept in the specified medical dictionary; if not, determine whether the first abbreviation in the specified abbreviation-full name pair is the medical alias of the second medical concept in the specified medical dictionary; if yes, obtain the second All medical aliases included in the medical concept; input the first full name and the specified medical alias into the twin network model, and obtain the specified similarity value between the first full name and the specified medical alias; according to the specified similarity value, judge whether the second medical concept contains Whether there is a medical alias with the same meaning as the first full name among all the medical aliases; if so, determine that the first abbreviation belongs to a medical entity. The present application improves the accuracy of entity recognition for abbreviated data.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to a model-based abbreviated data entity recognition method, device and computer equipment. Background technique [0002] In recent years, with the rapid development of network and medical information technology, the medical Internet has gradually emerged, and big data in the medical industry has gradually emerged. People have begun to discuss and learn how to use big data to improve the management and services of the medical industry. One of the prerequisites and foundations for the analysis and mining of medical big data is the identification of relevant medical entities in medical texts, and the identification of relevant medical entities in medical texts is the basic work of medical big data applications. [0003] At present, when performing entity recognition on abbreviation-full name data in medical texts, the method of entity recognition based on med...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F40/279G06F40/247G06F16/33G06F16/36G06N3/08
CPCG06F40/279G06F40/247G06F16/374G06F16/3331G06N3/08
Inventor 顾大中张圣
Owner PING AN TECH (SHENZHEN) CO LTD