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Document information summarizing method and system, electronic equipment and medium

A technology of document information and electronic equipment, applied in the field of deep learning, can solve problems such as high cost and lack of document information relevance, and achieve the effect of concise and easy-to-understand goals and advantages

Pending Publication Date: 2021-09-28
SHANGHAI MININGLAMP ARTIFICIAL INTELLIGENCE GRP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The embodiment of the present application provides a document information collection method, system, electronic device and medium, so as to solve the problems of lack of document information relevance and high cost in the process of machine and manual collection of multi-document information at least through the present invention

Method used

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  • Document information summarizing method and system, electronic equipment and medium
  • Document information summarizing method and system, electronic equipment and medium
  • Document information summarizing method and system, electronic equipment and medium

Examples

Experimental program
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Embodiment 1

[0050] This embodiment provides a method for summarizing document information. Please refer to Figure 1 to Figure 2 , figure 1 is a flowchart of a method for summarizing document information according to an embodiment of the present application; figure 2 is a framework diagram for generating multi-document information according to an embodiment of the present application, such as Figure 1 to Figure 2 As shown, the document information summarization method includes the following steps:

[0051] Hidden vector value calculation step S1: Calculate the encoding feature of the source document, and after obtaining the hidden vector value of the source document, calculate the hidden vector value of the target document according to the hidden vector value of the source document;

[0052] Output vector calculation step S2: calculate and obtain an output vector value according to the hidden vector value of the source document and the hidden vector value of the target document;

[...

Embodiment 2

[0072] Please refer to image 3 , image 3 It is a structural schematic diagram of the document information summarization system of the present invention. Such as image 3 As shown, the document information summary of the invention is applicable to the above-mentioned document information summary method and document information summary system, including:

[0073] Hidden vector value calculation unit 51: calculate the encoding feature of the source document, and after obtaining the hidden vector value of the source document, calculate and obtain the hidden vector value of the target document according to the hidden vector value of the source document;

[0074] Output vector calculation unit 52: calculate and obtain an output vector value according to the hidden vector value of the source document and the hidden vector value of the target document;

[0075] Document information summary result acquisition unit 53: calculate and obtain the document information summary result ac...

Embodiment 3

[0082] combine Figure 4 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.

[0083] 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.

[0084]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 no...

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Abstract

The invention discloses a document information summarizing method and system, electronic equipment and a medium, and the document information summarizing method comprises the following steps: a hidden vector value calculation step: carrying out coding feature calculation on a source document to obtain a hidden vector value of the source document, and then, carrying out calculation according to the hidden vector value of the source document to obtain a hidden vector value of a target document; an output vector calculation step: according to the source document hidden vector value and the target document hidden vector value, calculating to obtain an output vector value; and a document information summary result obtaining step: calculating and obtaining the document information summary result according to the output vector value. According to the method, machine learning and the graph algorithm are combined, the machine learning is utilized to complete summary generation, and the graph algorithm is utilized to extract relation characteristics among multiple documents, so that multi-document information generation based on the machine learning is realized, and the defect of insufficient machine learning multi-document information generation is overcome by utilizing the graph algorithm.

Description

technical field [0001] The present application relates to the technical field of deep learning, and in particular to a document information summarization method, system, electronic equipment and media. Background technique [0002] Now is an era of information explosion. Many industries need a variety of information reports, and these information sources may come from different articles, news, and icons, which requires a certain ability to summarize, so that the final information obtained is diverse. , precise. In the prior art, it is very expensive to summarize content from multiple documents, whether it is manually or by machine. Manual summarization requires a lot of labor costs, time-consuming and labor-intensive; machine summarization is mainly biased towards single-document generation and summarization, and the quality is high, but there is a certain correlation between a lot of information between documents, and there is a lack of certain information generated only f...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/126G06N3/063
CPCG06F40/126G06N3/063Y02D10/00
Inventor 杨康徐凯波孙泽懿王硕
Owner SHANGHAI MININGLAMP ARTIFICIAL INTELLIGENCE GRP CO LTD