Semantic understanding method and system based on agricultural field text

A semantic understanding and domain technology, applied in the semantic understanding method and system field based on agricultural texts, can solve problems such as inaccurate results, and achieve the effects of improving production efficiency, convenient operation, and real-time modification

Pending Publication Date: 2021-12-31
中通服创立信息科技有限责任公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a semantic understanding method and system based on text in the agricultural field to solve the problem of inaccurate results of supply and demand information matching, intelligent question and answer, and document retrieval in the agricultural field

Method used

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  • Semantic understanding method and system based on agricultural field text
  • Semantic understanding method and system based on agricultural field text
  • Semantic understanding method and system based on agricultural field text

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Experimental program
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Embodiment

[0060] Such as figure 1 As shown, the present embodiment provides a method for semantic understanding based on agricultural field text, the method includes the following steps:

[0061] Step 1, obtaining text data in the agricultural field;

[0062] Step 2, perform word segmentation and part-of-speech tagging on the text data, and perform entity processing on the text data after word segmentation and part-of-speech tagging according to the text data context information;

[0063] Step 3, constructing the basic knowledge graph of homologous text data and the semantic knowledge graph of heterogeneous text data;

[0064] Step 4, combining the method for processing text data in step 2 to form a word segmentation tagging model, an entity recognition model and a semantic recognition model;

[0065] Step five, iteratively update the text data and update the knowledge map in real time.

[0066] Specifically, such as image 3 As shown, in step 1, the data types of text data can be d...

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Abstract

The invention discloses a semantic understanding method and system based on an agricultural field text, relates to natural language processing, and solves the problem that the results of supply and demand information matching, intelligent question answering and literature retrieval in the agricultural field are inaccurate. According to the technical scheme, the method comprises the steps: 1, obtaining text data of the agricultural field; 2, performing word segmentation and part-of-speech tagging on the text data, and performing entity processing on the text data subjected to word segmentation and part-of-speech tagging according to context information of the text data; 3, constructing a basic knowledge graph of the homologous text data and a semantic knowledge graph of the heterologous text data; 4, combining the text data processed in the step 2 to form a word segmentation labeling model, an entity recognition model and a semantic recognition model; and 5, carrying out iterative updating on the text data and carrying out real-time updating on the knowledge graph. According to the invention, a basic natural language processing method combination is output in a composite model form, and application of text data is proposed.

Description

technical field [0001] The present invention relates to the field of natural language processing, more specifically, it relates to a semantic understanding method and system based on texts in the agricultural field. Background technique [0002] With the vigorous development of natural language processing technology in various fields, there is an urgent need for the construction of natural language processing in the agricultural field. [0003] In the existing technology, the matching of supply and demand information in the agricultural field, intelligent question and answering, and literature search results are inaccurate, and the update of data on the agricultural field is also extremely slow, resulting in the fact that the data on the agricultural field is still in the state of many years ago . [0004] Combined with the characteristics of various types of knowledge in the agricultural field, strong heterogeneous correlations, and relatively fixed language sentence patte...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/30G06F40/295G06F16/36G06Q50/02
CPCG06F40/30G06F40/295G06F16/367G06Q50/02
Inventor 方佩冯仁伟全威谢昭俊侯敏杨森李国民姜涛
Owner 中通服创立信息科技有限责任公司
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