Automatic text generation method and device and computer readable storage medium

A text and encoding technology, applied in the direction of unstructured text data retrieval, calculation, text database query, etc.

Pending Publication Date: 2020-09-11
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] In order to solve the existing problems, the present invention provides an automatic text generation method, device and computer-readable storage medium

Method used

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  • Automatic text generation method and device and computer readable storage medium
  • Automatic text generation method and device and computer readable storage medium
  • Automatic text generation method and device and computer readable storage medium

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Embodiment Construction

[0066] In order to make the technical problems, technical solutions and beneficial effects to be solved by the embodiments of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0067] It should be noted that when an element is referred to as being “fixed” or “disposed on” another element, it may be directly on the other element or be indirectly on the other element. When an element is referred to as being "connected to" another element, it can be directly connected to the other element or indirectly connected to the other element. In addition, the connection can be used for both fixing function and circuit communication function.

[0068] It is to be understood that the terms "length", "width", "top", "bottom", "front"...

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Abstract

The invention provides an automatic text generation method and device and a computer readable storage medium. The method comprises: training a Transformer encoding-decoding deep learning model, and carrying out text encoding and knowledge graph encoding on topic words to obtain corresponding hidden state representations, wherein a plurality of knowledge graph triples are added to each topic word in the knowledge graph encoding process; decoding according to the text code and the hidden state representation of the triple code of the knowledge graph to obtain a generated text; and automaticallygenerating a new text by utilizing the trained deep learning model according to the newly input topic words. The device is used for implementing method. By using a Transformer encoding-decoding deep learning model, the relationships between texts, between knowledge graph triples, and between texts and triples are fully learned by using Tansformers, and more abundant generation results are generated.

Description

technical field [0001] The present invention relates to the technical field of text generation, in particular to an automatic text generation method, device and computer-readable storage medium. Background technique [0002] Text generation technology aims to automatically generate highly readable relevant text based on a piece of original text by machine. Since its birth, this technology has been a hot topic in the field of artificial intelligence. Text generation technology can generate brand new texts by processing and transforming texts on the basis of effectively understanding the content of original texts. This provides people with a more efficient and intelligent text conversion mode. People can use the method of text generation to produce texts with various forms and contents according to their own needs. It is precisely because of the flexibility of text generation technology that academia and industry have carried out a series of exploratory work on it in the pa...

Claims

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Application Information

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IPC IPC(8): G06F16/33G06F16/332G06F16/36G06F40/289G06F40/30
CPCG06F16/3329G06F16/3344G06F16/367G06F40/289G06F40/30
Inventor 郑海涛刘昊周岚沈颖肖喜
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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