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Text summarization method and system based on deep learning

A deep learning and text technology, applied in the fields of artificial intelligence and natural language processing, can solve problems such as ignoring context information, high cost of text summarization, and a large number of manual annotations, so as to improve user experience, shorten reading time, and facilitate the search for target information Effect

Pending Publication Date: 2022-04-22
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  • Description
  • Claims
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Problems solved by technology

[0005] In order to solve the above-mentioned technical problems such as the text summarization method requires a lot of manual annotation, and the extracted features will ignore the context information, resulting in high cost of text summarization and poor summarization effect, the present invention is proposed

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  • Text summarization method and system based on deep learning
  • Text summarization method and system based on deep learning
  • Text summarization method and system based on deep learning

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Embodiment Construction

[0063] Below, reference to the accompanying drawings will be described in detail according to an exemplary embodiment of the present invention. Obviously, the embodiments described are only a portion of the embodiments of the present invention, and not all embodiments of the present invention, it should be understood that the present invention is not limited by the exemplary embodiments described herein.

[0064] It should be noted that, unless otherwise specified, the relative arrangement of the components and steps described in these embodiments, numerical expressions and numerical values do not limit the scope of the present invention.

[0065] Those skilled in the art will appreciate that the terms "first" and "second" in embodiments of the present invention are used only to distinguish different steps, devices or modules, etc., neither represent any particular technical meaning, nor indicate the necessary logical order between them.

[0066] It should also be understood that,...

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Abstract

The embodiment of the invention discloses a text summarization method and system based on deep learning, and the method comprises the steps: carrying out Chinese word segmentation and sentence segmentation processing on a target file, and dividing an original text of the target file into independent sentences; converting the original text divided into the independent sentences into text vectors; performing self-attention calculation on the text vector to obtain sentence features containing semantic information; performing weighted integration on each sentence feature obtained through out-of-order self-attention calculation, and performing normalization processing on the sentence features after weighted integration to obtain chapter-level sentence features; inputting the chapter-level sentence features into a pre-constructed classification model, and outputting sentence categories; dividing the original text of the target file into key information and non-key information according to the sentence category; and arranging and organizing the key information according to a reasonable sequence, and synthesizing the arranged and organized key information into an abstract text with smooth semantics and compliant grammar.

Description

Technical field [0001] The present invention relates to the field of artificial intelligence and natural language processing, and more particularly, relates to a text summary method and system based on deep learning. Background [0002] In recent years, textual information on the Internet has exploded due to the fact that Internet users share and transmit a large amount of information in text form on the Internet every day. When users browse massive amounts of Internet text data, it is difficult to quickly and accurately obtain the key information in it. This results in users spending a lot of time and effort to summarize the important content of the text on their own. Therefore, how to extract the content that users are most concerned about from these massive long texts and improve the efficiency of information processing has become an urgent research work in the field of natural language processing. [0003] A good abstract content needs to meet the requirements of high import...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/34G06F40/211G06F40/289G06F40/30G06F16/35
CPCG06F16/345G06F40/211G06F40/289G06F40/30G06F16/35
Inventor 徐书豪王亚平赖新明王志刚林文辉伺彦伟祁洪波
Owner AEROSPACE INFORMATION
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