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Entity linking method and system, storage medium and electronic equipment

An entity and entity list technology, which is applied in electronic digital data processing, other database retrieval, network data retrieval and other directions to achieve the effect of improving the accuracy rate and recall rate

Pending Publication Date: 2021-11-12
BEIJING MININGLAMP SOFTWARE SYST CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present application provides an entity linking method, system, storage medium and electronic device, so as to at least solve the problem of entity linking only for non-online documents in the existing entity linking method

Method used

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  • Entity linking method and system, storage medium and electronic equipment
  • Entity linking method and system, storage medium and electronic equipment
  • Entity linking method and system, storage medium and electronic equipment

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0059] Please refer to figure 1 , figure 1 is a flowchart of the entity linking method. Such as figure 1 As shown, the entity linking method of the present invention includes:

[0060] Obtaining the document entity list step S1: using the entity recognition model to perform entity recognition on the online document to obtain the document entity list;

[0061] User name acquisition step S2: assign an ID to each logged-in user to obtain an identification id, and obtain a list of user names through the identification id;

[0062] Summary vector obtaining step S3: obtaining the summary vector of the online document through the TextRank algorithm according to the online document;

[0063] Linking step S4: Obtain word vectors according to the document entity list and the user name list, obtain similarity according to the word vector and the abstract vector, and perform entity linking according to the similarity and the set threshold.

[0064] Please refer to figure 2 , figu...

Embodiment 2

[0098] Please refer to Image 6 , Image 6 It is a structural schematic diagram of the entity linking system of the present invention. Such as Image 6 An entity linking system of the present invention is shown, which includes:

[0099] A document entity list obtaining module, the document entity list obtaining module uses an entity recognition model to perform entity recognition on online documents to obtain a document entity list;

[0100] A user name acquisition module, the user name acquisition module assigns an ID to each login user to obtain an identification id, and obtains a list of user names through the identification id;

[0101] A summary vector acquisition module, the summary vector acquisition module obtains the summary vector of the online document through the TextRank algorithm according to the online document;

[0102] Linking module, the linking module obtains word vectors according to the document entity list and the user name list, obtains similarity ac...

Embodiment 3

[0112] combine Figure 7 As shown, this embodiment discloses a specific implementation manner of an electronic device. The electronic device may include a processor 81 and a memory 82 storing computer program instructions.

[0113] Specifically, the processor 81 may include a central processing unit (CPU), or an Application Specific Integrated Circuit (ASIC for short), or may be configured to implement one or more integrated circuits in the embodiments of the present application.

[0114] Among them, the memory 82 may include mass storage for data or instructions. For example without limitation, the memory 82 may include a hard disk drive (Hard Disk Drive, referred to as HDD), a floppy disk drive, a solid state drive (SolidState Drive, referred to as SSD), flash memory, optical disk, magneto-optical disk, magnetic tape or universal serial bus (Universal Serial Bus, referred to as USB) drive or a combination of two or more of the above. Storage 82 may comprise removable or n...

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Abstract

The invention discloses an entity linking method and system, a storage medium and electronic equipment, and the method comprises the following steps: obtaining a document entity list: carrying out the entity recognition of an online document through an entity recognition model, and obtaining the document entity list; a user name obtaining step: distributing an ID for each login user to obtain an identifier i d, and obtaining a user name list through the identifier i d; an abstract vector acquisition step: acquiring an abstract vector of the online document through a TextRank algorithm according to the online document; and a linking step: obtaining word vectors according to the document entity list and the user name list, obtaining similarity according to the word vectors and the abstract vectors, and carrying out entity linking according to the similarity and a set threshold value. According to the invention, the text abstract, the entity in the graph, the entity attribute and the relevancy of the relationship are utilized, so that the accuracy and recall rate of entity linking are improved.

Description

technical field [0001] The invention belongs to the field of entity linking, and in particular relates to an entity linking method, system, storage medium and electronic equipment. Background technique [0002] With the rise and rapid development of the Internet, cloud technology, and artificial intelligence, text data has experienced explosive growth. Since online documents can support users to edit documents anytime and anywhere, collaborative editing among multiple users, and cloud storage, etc., more and more The more favored by users and enterprises. Correspondingly, more and more online data will be generated. Users and enterprises urgently need efficient and intelligent online text analysis technology to understand the true meaning of data, so as to help users and enterprises quickly obtain useful information. Entity linking technology is a text analysis technology that takes words or phrases appearing in text data as entities and associates them with corresponding e...

Claims

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Application Information

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IPC IPC(8): G06F16/955G06F16/34G06F16/33G06F16/36G06F40/279
CPCG06F16/9558G06F16/345G06F16/367G06F16/3331G06F40/279
Inventor 崔小波
Owner BEIJING MININGLAMP SOFTWARE SYST CO LTD
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