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Entity relationship extraction method and device for open domain and terminal equipment

A technology of entity relationship and entity, applied in biological neural network model, semantic analysis, instrument, etc., can solve the problems of diversity of natural language expression and complex entity relationship, low accuracy rate, etc.

Pending Publication Date: 2020-10-27
GUANGZHOU DUOYI NETWORK TECH +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the diversity of natural language expressions and the complexity of entity relationships, the accuracy of the method using syntax analysis and pattern matching is often not high

Method used

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  • Entity relationship extraction method and device for open domain and terminal equipment
  • Entity relationship extraction method and device for open domain and terminal equipment
  • Entity relationship extraction method and device for open domain and terminal equipment

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Embodiment Construction

[0045] In order to have a clearer understanding of the technical features, purpose, and effects of the present invention, the specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are only used to illustrate the present invention, but are not used to limit the protection scope of the present invention. Based on the embodiments of the present invention, other embodiments obtained by those skilled in the art without making creative efforts shall all belong to the protection scope of the present invention.

[0046] In the description of the present invention, it should be understood that the numbers themselves, such as "first", "second", etc., are only used to distinguish the described objects, and have no order or technical meaning, and cannot be interpreted as stipulating Or hint at the importance of the object being described.

[0047] figure 1 S...

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PUM

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Abstract

The invention relates to the technical field of computer natural language processing, and discloses an entity relationship extraction method and device for an open domain and terminal equipment. The method comprises the steps of obtaining to-be-processed open domain data; inputting the open domain data into a trained entity relationship extraction model to obtain an entity relationship in the opendomain data; wherein the entity relationship extraction model is trained by adopting a supervised learning algorithm. According to the invention, the accuracy of an open domain-oriented entity relationship extraction result can be improved.

Description

technical field [0001] The invention relates to the technical field of computer natural language processing, in particular to an open domain-oriented entity relationship extraction method, device and terminal equipment. Background technique [0002] The purpose of relational extraction is to extract the semantic relationship of entities from a large number of unstructured texts that exist on the Internet, and use them to build knowledge graphs or provide people with more efficient information acquisition tools. Relationship extraction usually uses triples as a basic data unit, in the form of <subject, predicate, object>, where subject is the head entity, object is the tail entity, and predicate is the relationship between the two entities. Usually the head entity refers to a specific person or thing, and the tail entity can refer to some attributes besides a specific person or thing. [0003] At present, the commonly used entity relationship extraction methods can be ...

Claims

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Application Information

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IPC IPC(8): G06F16/36G06F40/211G06F40/253G06F40/295G06F40/30G06F16/35G06N3/04
CPCG06F16/367G06F40/211G06F40/295G06F40/30G06F40/253G06F16/353G06N3/045Y02D10/00
Inventor 徐波
Owner GUANGZHOU DUOYI NETWORK TECH
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