Construction method of semantic recursion representation system of natural language

A technology of natural language and construction method, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as ambiguity of glyphs

CN110457551AActive Publication Date: 2019-11-15梁冰
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2019-11-15

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Abstract

The embodiment of the invention discloses a construction method of a semantic recursion representation system of a natural language. A specific embodiment of the construction method comprises the following steps: selecting a word dictionary of a predetermined type of natural language; generating a basic meaning item table; generating a composite meaning item table; selecting a proper semantic classification system from the additional classifications of the semantic items; executing the creation method of the basic semantic object; executing an object structure processing method of the basic semantic object; executing a semantic definition processing method of the basic semantic object; executing a species object processing method of the basic semantic object; executing an additional classification processing method of the basic semantic object; executing the creation method of the composite semantic object; and executing the additional classification processing method of the compositesemantic object. The semantic object constructed by the implementation mode is unique, the semantic representation problem and the font ambiguity problem are solved, and meanwhile, the semantic objecthas semantic self-representation and self-explanation capabilities.
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Description

technical field

[0001] The embodiments of the present disclosure relate to the technical field of natural language processing, and in particular to a method for constructing a semantic recursive representation system of natural language. Background technique

[0002] Natural Language Processing (NLP, Natural Language Processing) refers to the use of computers to process information such as shape, sound, and meaning of natural language. Due to the ambiguity, ambiguity, context correlation, differences in expression environments and the broadness of semantic knowledge in natural language semantics, the representation and processing of semantics has always been a difficult problem in the field of natural language processing technology.

[0003] "Chinese Information Processing Development Report (2016)" (Chinese Information Society) on page 4, line 30 states: "What form of representation should be used for semantics has always puzzled researchers."

[0004] "Knowledge Graph Dev...

Examples

Embodiment Construction

[0023] The present disclosure 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 related inventions, rather than to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

[0024] It should be noted that, in the case of no conflict, the embodiments in the present disclosure and the features in the embodiments can be combined with each other. The present disclosure will be described in detail below with reference to the accompanying drawings and embodiments.

[0025] figure 1 An architecture diagram of a semantic recursive representation system for natural language according to some embodiments of the present disclosure is shown.

[0026] Such as figure 1 As shown, the above semantic recursive representation system 100 may ...