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Automatic summarization generating method and device

A technology for automatic summarization and sentence generation, which is applied in special data processing applications, instruments, electronic digital data processing, etc., and can solve problems such as failure to consider interactions at the same time

Active Publication Date: 2016-06-08
NANJING UNIV OF FINANCE & ECONOMICS
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Problems solved by technology

Existing methods simply consider the features of sentences or words, but fail to consider the interaction between the two

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  • Automatic summarization generating method and device
  • Automatic summarization generating method and device
  • Automatic summarization generating method and device

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Embodiment Construction

[0048] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. . Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0049] The technical solutions of the present invention will be further described in detail below through the accompanying drawings and embodiments.

[0050] figure 1 It is a flowchart of an automatic abstract generation method provided by Embodiment 1 of the present invention. Such as figure 1 As shown, this embodiment includes the following steps:

[0051] S110: Model the text to generate a sentence network graph, where the s...

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Abstract

The invention relates to an automatic summarization generating method and device. The method comprises the steps of modeling a text to generate a sentential network diagram which comprises edge weights; computing first weights of sentences in the text according to the edge weights and initial weights of the sentences in the text; computing term weights according to frequencies of terms in the sentences and the first weights of the sentences corresponding to the terms; computing second weights of the sentences according to the frequencies of the terms in the sentences and the term weights of the terms; computing final weights of the sentences according to the first weights and the second weights; and if the difference between the final weight after nth iterations and the final weight after (n-1)th iterations is less than a preset threshold value and the difference between the term weight after nth iterations and the term weight after (n-1)th iterations is less than a preset threshold value, generating an automatic summarization. By means of the method, the problem that the quality of single long text summarizations is low is solved; the information overload is alleviated; and the summarization quality is improved.

Description

Technical field [0001] The invention relates to the field of natural language processing, and in particular to an automatic abstract generation method and device. Background technique [0002] Automatic summarization is a technology that uses a computer to automatically extract sentences that comprehensively and accurately reflect the central content of the text from the original text, and generate simple and coherent short essays. The abstract should be general, objective, understandable and readable. Automatic summarization has long been one of the important and challenging research topics in the field of natural language processing. Especially with the explosive growth of various Web texts and user-created content, the potential advantages of automatic summarization to alleviate information overload have been revealed. And it has been practically applied in many fields, such as news recommendation, machine translation, document retrieval, intelligence analysis, and public opi...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/345
Inventor 张璐陈晨伍之昂曹杰方昌健卜湛
Owner NANJING UNIV OF FINANCE & ECONOMICS
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