Natural language processing technology research and development method based on graph theory

A technology of natural language processing and theory, applied in the field of research and development of natural language processing technology

Pending Publication Date: 2021-06-04
苏州英特雷真智能科技有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, the research and development of natural language processing methods are all based on the direction of deep learning classifiers, combining graph theory with natural language processing to solve some problems in natural language processing. There is no information showing that there are institutions or individuals conducting research and development

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  • Natural language processing technology research and development method based on graph theory
  • Natural language processing technology research and development method based on graph theory
  • Natural language processing technology research and development method based on graph theory

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Embodiment Construction

[0030] In order to make the object, technical solution and advantages of the present invention clearer, the specific implementation manners of the present invention will be described in detail below in conjunction with the accompanying drawings. Examples of these preferred embodiments are illustrated in the accompanying drawings. The embodiments of the invention shown in and described with reference to the drawings are merely exemplary, and the invention is not limited to these embodiments.

[0031] Here, it should also be noted that, in order to avoid obscuring the present invention due to unnecessary details, only the structures and / or processing steps closely related to the solution according to the present invention are shown in the drawings, and the related Other details are not relevant to the invention.

[0032] And, in the description of the present invention, the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer" etc. indica...

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Abstract

The invention discloses a natural language processing technology research and development method based on a graph theory, and the research method comprises the following steps: 1, storing a natural conversation through a graph database according to a Chinese character sequence, and instantly forming character association statistics of an N-Gram model; 2, conversation sentences are processed according to a sentence segmentation rule, a connection chain of characters is formed, when the class of data reaches a certain magnitude, the occurrence frequency of adjacent Chinese characters on the same chain is counted, and N-Gram data is formed; and 3, forming a pyramid structure from Chinese characters to words to phrases to sentences based on the rules, tightly binding the rules and Chinese character data, forming a processing method of data, namely a processing unit, through a graph theory method, and carrying out intervention calibration on the formed rules through a semi-supervised learning method. By means of the mode, the relation between the elements of the natural language can be extracted more quickly and more visually, and the extracted natural language rule is more accurate, more concise and easier to maintain.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, graph theory and natural language processing technology, in particular to a research and development method of natural language processing technology based on graph theory. Background technique [0002] Natural Language Processing (NLP, Natural Language Processing) is a discipline that studies the language issues of human-computer interaction, aiming at making computers understand language and realizing communication between humans and computers using natural language. [0003] Generally, the research and development of natural language processing technology is based on deep learning or statistical analysis of classifiers. According to the difficulty of technical implementation, such systems can be divided into three types: simple matching, fuzzy matching and paragraph understanding. Types of. No matter what type it is, it is the embodiment of the matching process of keyw...

Claims

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Application Information

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IPC IPC(8): G06F40/284G06F40/35G06F40/44G06F40/211G06F16/901
CPCG06F40/284G06F40/35G06F40/44G06F40/211G06F16/9024
Inventor 杜爽
Owner 苏州英特雷真智能科技有限公司
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