Resume named entity identification method and system

A named entity recognition and named entity technology, applied in neural learning methods, biological neural network models, instruments, etc., can solve problems such as reducing the amount of calculation, unable to obtain two-way information of sentences, increasing the data volume of training sets, etc., to enhance semantics. The effect of representing, improving the accuracy of label prediction, and improving the efficiency of information recognition

Active Publication Date: 2021-08-03
SHANDONG NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Chinese invention patent (application number: CN109800437A, patent name: a named entity recognition method based on feature fusion), through feature fusion after extracting feature semantics, word features, and character features, classify entity information and improve named entity

Method used

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  • Resume named entity identification method and system
  • Resume named entity identification method and system
  • Resume named entity identification method and system

Examples

Experimental program
Comparison scheme
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Example Embodiment

[0048] Example one

[0049] This embodiment provides a resume naming entity identification method;

[0050] like figure 1 As shown, the resume name entity identification method, including:

[0051] S101: Get the resume to be processed;

[0052] S102: Pretreatment of resume to treat processing;

[0053] S103: The resume after the pre-processed, and the entity in the custom entity dicing is made one by one, and the first predictive naming entity collection that matches is successful; where the first predictive naming entity collection, including: several named entities;

[0054] S104: In the resume of the pre-processed, input to the resume name entity identification model after the training, obtain the second predictive naming entity collection; where the second predictive naming entity collection, including: several named entities; resume naming entity identification model , Including: BILSTM models and conditions connected to each other with the airport model CRF;

[0055] S105: T...

Example Embodiment

[0153] Example 2

[0154] This embodiment provides a resume naming entity recognition system;

[0155] Resume named entity identification system, including:

[0156] Get the module, which is configured to get the resume to be processed;

[0157] The pretreatment module is configured to prepare the resume to be processed;

[0158] The matching module is configured to: a pre-processed resume, matching the entity in the custom entity dicing, got a collection of successful first predictive naming entity; where the first predictive name entity collection, including: Several named entities;

[0159] The prediction module is configured to: Several resumes after the pre-processed resume, input to the training resume named entity identification model; where the second predictive naming entity collection, including: several named entities ; Resume named entity identification model, including: BILSTM model and condition of each other with airport model CRF;

[0160] The merge module is confi...

Example Embodiment

[0165] Example three

[0166] This embodiment also provides an electronic device comprising: one or more processors, one or more memories, and one or more computer programs; wherein the processor is connected to a memory, the above one or more computer programs are Stored in the memory, when the electronic device is run, the processor performs one or more computer programs stored in the memory to enable the electronic device to perform the method described above.

[0167] It should be understood that in the present embodiment, the processor may be a central processing unit CPU, and the processor can also be other general purpose processors, digital signal processor DSP, dedicated integrated circuit ASIC, ready-made programmable gate array FPGA or other programmable logic devices. , Discrete door or transistor logic devices, discrete hardware components, and the like. The general purpose processor can be a microprocessor or the processor can also be any conventional processor or th...

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Abstract

The invention discloses a resume named entity recognition method and system. The resume named entity recognition method comprises the steps of obtaining a to-be-processed resume; preprocessing the resume to be processed; matching the preprocessed resume with entities in a self-defined entity dictionary library one by one to obtain a successfully matched first predicted named entity set; inputting the preprocessed resume into a trained resume named entity recognition model to obtain a second predicted named entity set; taking a union set of the first predicted named entity set and the second predicted named entity set to obtain a merged predicted named entity set; taking the named entities in the merged predicted named entity set as a final named entity recognition result of the to-be-processed resume; and generating a knowledge graph based on the final named entity recognition result of the to-be-processed resume. Data are displayed and stored in a more novel mode, and help is provided for resume information labeling.

Description

technical field [0001] The invention relates to the technical field of machine learning and knowledge graphs, in particular to a method and system for recognizing named entities in resumes. Background technique [0002] The statements in this section merely mention the background technology related to the present invention and do not necessarily constitute the prior art. [0003] In recent years, with the rapid increase of graduates and the increasing number of application resumes, the efficiency issues have attracted more and more attention. Some medium and large companies receive hundreds or even thousands of resumes. It will take a lot of time and energy to find out what kind of abilities the applicants have in the resumes by manpower. If the award-winning experience and internship experience in the resume can be marked, Form a visual resume, which will be very convenient to check. [0004] Chinese invention patent (application number: CN109800437A, patent name: a named...

Claims

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Application Information

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IPC IPC(8): G06F40/295G06F40/284G06F16/36G06F40/205G06F40/242G06F16/335G06F16/35G06N3/04G06N3/08
CPCG06F40/295G06F40/284G06F40/242G06F40/205G06F16/367G06F16/335G06F16/355G06N3/08G06N3/044
Inventor 闫伟宋澳东张亮姜新泉隋远褚力宁胡晴
Owner SHANDONG NORMAL UNIV
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