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Text abstract generation method and device, equipment and storage medium

A technology of summarization and text, which is applied in the field of equipment and storage media, text summarization generation methods, and devices, can solve the problem of inaccurate summaries and achieve effective recognition

Pending Publication Date: 2021-08-17
PING AN TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] This application provides a method, device, device, and storage medium for generating a text abstract, aiming to solve the problem that the abstract generated by the current abstract generation model is not accurate enough when the input text has too many proprietary words

Method used

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  • Text abstract generation method and device, equipment and storage medium
  • Text abstract generation method and device, equipment and storage medium
  • Text abstract generation method and device, equipment and storage medium

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Embodiment Construction

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0026] The flow charts shown in the drawings are just illustrations, and do not necessarily include all contents and operations / steps, nor must they be performed in the order described. For example, some operations / steps can be decomposed, combined or partly combined, so the actual order of execution may be changed according to the actual situation. In addition, although the functional modules are divided in the schematic diagram of the device, in some cases, they ...

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PUM

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Abstract

The invention relates to the technical field of artificial intelligence, and particularly discloses a text abstract generation method, device and equipment and a storage medium; the method comprises the following steps: obtaining a to-be-processed text, and inputting the to-be-processed text into a selector in an abstract generation model for keyword extraction to obtain a keyword sequence; inputting the keyword sequence into a first encoder in an abstract generation model for encoding processing to obtain a first vector; inputting the to-be-processed text into a second encoder in the abstract generation model for encoding processing to obtain a second vector; obtaining a hidden vector according to the first vector and the second vector; and inputting the hidden vector into a decoder in the abstract generation model for decoding to obtain a target abstract. The important keywords in the to-be-processed text are extracted preferentially, so that the model can identify key information of the to-be-processed text more effectively, and the accuracy of the generated target abstract is ensured.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular to a method, device, device and storage medium for generating text abstracts. Background technique [0002] At present, in the task of text summary generation, the sequence-to-sequence (Sequence-to-Sequence, referred to as seq2seq) model is a commonly used summary generation model, which uses two recurrent neural networks to convert one language sequence into another language sequence, And satisfy the situation that the input and output sequence lengths are not the same. [0003] However, in fields that involve too many proprietary vocabularies, such as in the generation of medical imaging reports, the summaries generated by the seq2seq model are not easy to read because of the many proprietary vocabularies involved. For example, when a proprietary vocabulary is incorrectly segmented, the meaning of the word is changed, and the generated abstract will ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/34G06F40/30G06K9/62
CPCG06F40/30G06F16/345G06F18/214
Inventor 于凤英王健宗
Owner PING AN TECH (SHENZHEN) CO LTD
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