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Text abstract automatic generation method based on self-attention network

An automatic generation and attention technology, applied in biological neural network models, unstructured text data retrieval, text database browsing/visualization, etc. Improve quality, high-quality effects

Active Publication Date: 2019-09-06
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

Therefore, the automatic generation of text summaries through the above methods has the problems of poor quality of generated summaries and low model calculation efficiency.

Method used

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  • Text abstract automatic generation method based on self-attention network
  • Text abstract automatic generation method based on self-attention network
  • Text abstract automatic generation method based on self-attention network

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Embodiment Construction

[0035] The present invention will be further described below in conjunction with specific examples.

[0036] In the method for automatically generating a text summary based on a self-attention network provided in this embodiment, a piece of text is input for generation. The complete process of generating the summary is as follows figure 1 As shown, the complete neural network structure of the designed text summary automatic generation is as follows Figure 5 shown. When preprocessing the input text, use the word segmentation algorithm to divide the text to be processed into semantically independent words, and fill in empty characters or truncate them depending on the length of the input text; then, according to the word embedding algorithm, the word sequence of the input text The words in correspond to corresponding word vector sequences one by one; next, the encoder is used to encode the word vector sequence of the input text; finally, the decoder is used to perform cyclic ...

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Abstract

The invention discloses a text abstract automatic generation method based on a self-attention network. The text abstract automatic generation method comprises the following steps: 1) carrying out wordsegmentation on an input text to obtain a word sequence; 2) performing word embedding on the word sequence to generate a corresponding word vector sequence; 3) coding the word vector sequence by using a self-attention network encoder, and 4) decoding an input text coding vector by using a self-attention network decoder to generate a text abstract. The text abstract automatic generation method hasthe advantages of high model calculation speed, high training efficiency, high generated abstract quality, good generalization performance of the model and the like.

Description

technical field [0001] The present invention relates to the technical field of natural language processing, in particular to a method for automatically generating text abstracts based on a self-attention network. Background technique [0002] Text summary refers to one or a paragraph of sentences extracted and summarized from the source text, which can fully reflect the main idea of ​​the text, and is concise and easy to read. Automatic generation of text summaries refers to the technology of using computers to automatically generate text summaries. The goal of automatic text summaries is to use computer science and natural language processing technology to extract important content from the original text, and then extract the important content of the text according to the user's The required form is re-presented to the user. [0003] Existing models for automatically generating text summaries include sequence-to-sequence models based on recurrent neural networks, combinati...

Claims

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Application Information

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IPC IPC(8): G06F16/34G06F17/27G06N3/04
CPCG06F16/345G06N3/04G06F40/284G06F40/289G06N3/045
Inventor 张宇郑冬云郭炜强郑波关健创
Owner SOUTH CHINA UNIV OF TECH
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