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Method for dynamically extracting relationships between entities and attributes, server and readable storage medium

A technology of entity attributes and attributes, applied in the Internet field, can solve problems such as incomplete knowledge base and corpus

Active Publication Date: 2018-08-14
ZTE CORP +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The main purpose of the present invention is to propose a dynamic extraction method, server and readable storage medium for the relationship between entities and attributes, aiming to solve the problem of incomplete knowledge base and corpus in specific technical fields

Method used

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  • Method for dynamically extracting relationships between entities and attributes, server and readable storage medium
  • Method for dynamically extracting relationships between entities and attributes, server and readable storage medium
  • Method for dynamically extracting relationships between entities and attributes, server and readable storage medium

Examples

Experimental program
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no. 1 example

[0027] Such as figure 1 As shown in , it is a schematic flowchart of the method for dynamically extracting the relationship between entities and attributes provided in the first embodiment of the present application. exist figure 1 In, the dynamic extraction method of described entity and attribute relation, comprises the following steps:

[0028] Step 110, obtaining text data;

[0029] Step 120, based on the dynamic entity attribute relationship database and the training model, dynamically extract various features of entities and attributes from the text data.

[0030] Specifically, when the text data is obtained, based on the pre-established entity attribute relationship library and entity attribute relationship training model, the characteristics of entities and attributes are dynamically extracted from the text data, and are structured into entity and attribute Yes, get the result of dynamic extraction.

[0031] After establishing the entity attribute relationship data...

no. 2 example

[0064] Such as Figure 7 As shown, a schematic diagram of a server hardware architecture is provided for the second embodiment of the present application. exist Figure 7 Among them, the server includes: a memory 710, a processor 720, and a dynamic extraction program 730 for entities and attribute relationships stored on the memory 710 and operable on the processor 720. In this embodiment, the dynamic extraction program 730 of the relationship between entities and attributes includes a series of computer program instructions stored in the memory 710. When the computer program instructions are executed by the processor 720, various implementations of the present invention can be realized. The dynamic extraction operation of the entity and attribute relationship of the instance. In some embodiments, based on the specific operations implemented by each part of the computer program instructions, the dynamic extraction program 730 of entity-attribute relationship can be divided i...

no. 3 example

[0095] The embodiment of the present application also provides a computer-readable storage medium. Here, the computer-readable storage medium stores one or more programs. Wherein, the computer-readable storage medium may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as read-only memory, flash memory, hard disk or solid-state hard disk; the memory may also include the above-mentioned types combination of memory. When one or more programs in the computer-readable storage medium can be executed by one or more processors, the method for dynamically extracting the entity-attribute relationship provided by the above-mentioned first embodiment is realized.

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Abstract

The invention discloses a method for dynamically extracting relationships between entities and attributes. The method comprises the following steps of: obtaining text data; dynamically extracting features of entities and attributes from the text data on the basis of a dynamic entity-attribute relationship library and a training model. Moreover, the invention provides a server and a readable storage medium. By adoption of the method, the dynamic entity-attribute relationship library and the training model are adopted, and the features of the entities and the attributes can be automatically extracted from the text data.

Description

technical field [0001] The present invention relates to the field of Internet technologies, in particular to a method for dynamically extracting entity-attribute relationships, a server and a readable storage medium. Background technique [0002] With the rapid development of the Internet and the advent of the information age of big data, in some specific fields, such as: the technology and business in the field of telecommunications are facing opportunities and challenges of technology upgrading and business updating, and a large amount of knowledge and special terms have been generated, which have become A veritable industry with a high degree of knowledge and trust. The amount of information in the field of telecommunication has grown, and a very large and disorderly information resource library has been formed, in which unstructured or semi-structured text data carries rich and valuable telecommunication information. Named entity is an important language unit that carri...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06F17/30
CPCG06F16/36G06F40/295
Inventor 陈虹董振江王宇龚乐君李涛
Owner ZTE CORP
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