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Multi-round dialogue generation method, terminal and computer readable storage medium

A computer and program generation technology, applied in the fields of multi-round dialogue generation methods, terminals and computer-readable storage media, can solve problems such as the inability of deep learning models to quickly adapt to the needs of new application scenarios, and achieve the effect of solving the need for training and adaptation

Pending Publication Date: 2022-01-21
深圳康佳电子科技有限公司
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AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is that, in view of the defects of the prior art, the present invention provides a multi-round dialogue generation method, terminal and computer-readable storage medium to solve the problem that the existing deep learning model cannot quickly adapt to the requirements of new application scenarios technical problem

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  • Multi-round dialogue generation method, terminal and computer readable storage medium
  • Multi-round dialogue generation method, terminal and computer readable storage medium
  • Multi-round dialogue generation method, terminal and computer readable storage medium

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Embodiment Construction

[0042] In order to make the object, technical solution and advantages of the present invention more clear and definite, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0043] exemplary method

[0044] Such as figure 1 As shown, the embodiment of the present invention provides a method for generating a multi-round dialog, and the method for generating a multi-round dialog includes the following steps:

[0045] Step S100, acquiring a target object session, and performing preprocessing on the target object session according to a configuration file, to obtain preprocessed session information.

[0046] In this embodiment, the multi-round dialogue generation method is applied to a terminal, and the terminal includes but is not limited to: mobile terminals ...

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Abstract

The invention discloses a multi-round dialogue generation method, a terminal and a computer readable storage medium, and the method comprises the steps of obtaining a target object session, and carrying out the preprocessing of the target object session according to a configuration file, and obtaining the preprocessed session information; performing semantic enhancement matching on the preprocessed session information according to the configuration file to obtain enhanced session information; and generating a reply language according to the configuration file and the enhanced session information, and feeding back a session result to the client. According to the invention, the target object session is subjected to preprocessing and semantic enhancement processing through the existing configuration file, so that the required reply information can be automatically generated according to the target object session; on the basis of no deep learning model intervention, most semantic classification, context classification and dialogue text generation requirements can be quickly covered; therefore, in a new use scene, the target object session is replied by the quickly generated information, and the problem that a deep learning model needs to be trained and adapted is solved.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular to a multi-round dialogue generation method, a terminal and a computer-readable storage medium. Background technique [0002] Natural Language Processing (NLP) is an important direction in the field of computer science and artificial intelligence. It studies theories and methods of effective communication between humans and computers using natural language. A science that integrates linguistics, computer science, and mathematics. Designed to extract information from text data. The goal is for computers to process, or "understand," natural language to perform things like automatic translation, text classification, and sentiment analysis. [0003] At present, natural language processing technology can train semantic classification, context classification, and dialogue text generation models on the basis of large-scale corpus data. There are also open source Chinese pr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/205G06F40/35G06F9/445G06F16/332G06F16/35
CPCG06F40/205G06F40/35G06F9/4451G06F16/3329G06F16/355
Inventor 黄德烁
Owner 深圳康佳电子科技有限公司
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