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Automatic summary generation method and device

An automatic summary and sentence technology, applied in the fields of instruments, computing, electrical digital data processing, etc., can solve the problems of failure to consider the interaction at the same time

Active Publication Date: 2018-10-12
NANJING UNIV OF FINANCE & ECONOMICS
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

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

Method used

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  • Automatic summary generation method and device
  • Automatic summary generation method and device

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Embodiment Construction

[0048] In order to make the object, technical solution 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 some embodiments of the present invention, rather than all embodiments . Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

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

[0050] figure 1 It is a flow chart of the 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 and generate a sentence network graph, where t...

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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 present invention relates to the field of natural language processing, in particular to an automatic summary generation method and device. Background technique [0002] Automatic summarization is a technology that uses computers to automatically extract sentences that fully and accurately reflect the central content of the text from the original text, and generate simple and coherent 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-generated content, the potential advantages of automatic summarization to alleviate information overload are fully revealed. And it has been practically applied in many fields, such as news recommendation, machine translation, document retrieval, intelligence analysis, public opinion monito...

Claims

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Application Information

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Patent Type & Authority Patents(China)
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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