Character-level clinical concept extraction named entity recognition method and system

A named entity recognition, character-level technology, applied in the field of information recognition, can solve problems such as poor generalization ability, complex calculation process, slow response speed, etc., and achieve the effect of improving convergence speed, low computing cost, and fast training speed

Pending Publication Date: 2020-03-06
SHANDONG NORMAL UNIV
View PDF6 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Named Entity Recognition (NER) is the process of locating and classifying important nouns and pronouns in the text, identifying entities with specific meanings in the text for further language processing and application. According to the inventor's understanding, traditional named entities In the recognition technology, the rule-based method relies on the existing medical vocabulary, such as the use of regular expressions, which is the dominant method of the early NER system, but the poor generalization ability is a major defect, an

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Character-level clinical concept extraction named entity recognition method and system
  • Character-level clinical concept extraction named entity recognition method and system
  • Character-level clinical concept extraction named entity recognition method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] The present disclosure will be further described below in conjunction with the accompanying drawings and embodiments.

[0036] It should be noted that the following detailed description is exemplary and intended to provide further explanation of the present disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.

[0037] It should be noted that the terminology used herein is only for describing specific embodiments, and is not intended to limit the exemplary embodiments according to the present disclosure. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a character-level clinical concept extraction named entity recognition method and system. The method comprises the steps of: introducing character-level representation through apre-trained word vector, then marking a target entity according to the context, and finally, restraining a marking result through a rule, thereby effectively improving the recognition accuracy of a clinical named entity. In addition, a Nadam optimization mode is adopted, so that the recognition speed is greatly increased.

Description

technical field [0001] The disclosure belongs to the technical field of information recognition, and relates to a character-level clinical concept extraction named entity recognition method and system. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] Natural language processing integrates linguistics, computer science, and mathematics, enabling humans and computers to communicate and understand each other through natural language. Natural language processing has been widely used in many fields, and has generated application value through intelligent information services. Through relevant technologies, massive documents can be effectively managed, such as storage and retrieval; documents can be deeply excavated and analyzed to discover the internal connections and laws between events; combined with existing technical means, it can promote ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G16H10/60G06F40/295G06N3/04
CPCG16H10/60G06N3/045
Inventor 徐卫志李蓝天于惠李广震
Owner SHANDONG NORMAL UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap