An inter-entity association relationship determination method and device, terminal equipment and a medium

A technology of association relationship and determination method, applied in the computer field, can solve problems such as entity association errors, achieve the effect of solving entity association errors and improving accuracy

Pending Publication Date: 2020-12-22
BEIJING BYTEDANCE NETWORK TECH CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present disclosure provide a method, device, terminal device, and medium for determining an association relationship

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • An inter-entity association relationship determination method and device, terminal equipment and a medium
  • An inter-entity association relationship determination method and device, terminal equipment and a medium
  • An inter-entity association relationship determination method and device, terminal equipment and a medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0033] figure 1 It is a schematic flowchart of a method for determining an association relationship between entities provided by Embodiment 1 of the present disclosure. This method is applicable to the situation of determining an association relationship between entities in text information, and the method can be executed by a device for determining an association relationship between entities , wherein the device can be implemented by software and / or hardware, and is generally integrated on a terminal device. In this embodiment, the terminal device includes but is not limited to: mobile phones, computers, personal digital assistants and other devices.

[0034] Such as figure 1 As shown, a method for determining an association relationship between entities provided by Embodiment 1 of the present disclosure includes the following steps:

[0035] S110. Determine a subject entity and an attribute entity in the text information.

[0036] In this embodiment, text information can ...

Embodiment 2

[0057] figure 2 It is a schematic flowchart of a method for determining an association relationship between entities provided by Embodiment 2 of the present disclosure. Embodiment 2 is embodied on the basis of various alternative solutions in the foregoing embodiments. In this embodiment, the association relationship between entities will be determined according to the association degree information, specifically including:

[0058] selecting an attribute entity from each of the attribute entities as the current attribute entity;

[0059] Determining the target entity as the subject entity associated with the current attribute entity, so as to realize the construction of the association relationship of the current attribute entity;

[0060] Continue to select the current attribute entity until the selection of each attribute entity is completed;

[0061] If the number of the subject entity corresponding to the association degree information with the largest value of the cur...

Embodiment 3

[0117] image 3 A schematic structural diagram of a device for determining associations between entities provided by Embodiment 3 of the present disclosure. This device is applicable to the situation of determining associations between entities in text information. The device can be implemented by software and / or hardware, and generally integrated on the end device.

[0118] Such as image 3 As shown, the device includes:

[0119] Among them, the first determination module 31 is used to determine the subject entity and attribute entity in the text information;

[0120] The second determination module 32 is configured to input each determined subject entity and each determined attribute entity into the correlation model, and determine the correlation degree information between each said subject entity and each said attribute entity;

[0121] The third determination module 33 is configured to determine the association relationship between entities according to the association...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an inter-entity association relationship determination method and device, terminal equipment and a medium. The method comprises the steps of determining a main body entity andan attribute entity in text information; inputting each determined main entity and each determined attribute entity into an association degree model, and determining association degree information between each main entity and each attribute entity; and determining an association relationship between the entities according to the association degree information. By utilizing the method, the technical problem of entity association errors caused by attribute entity loss or excessive attribute entities is effectively solved, and the accuracy of determining the association relationship between the entities is improved.

Description

technical field [0001] Embodiments of the present disclosure relate to the field of computer technology, and in particular, to a method, device, terminal device, and medium for determining an association relationship between entities. Background technique [0002] In the application scenario of text information extraction, it is often necessary to establish the association between entities in the text information. In different business scenarios, associations between different entities and other entities can be established. For example, when analyzing educational experience, it is necessary to first identify the school entity from the text information, and then extract the association between the school entity and other entities such as majors. Among them, the school entity can be considered as the subject entity, and other entities associated with the subject can be called attribute entities. [0003] However, when attribute entities are missing or too many attribute enti...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F40/295G06F16/28G06F16/35
CPCG06F40/295G06F16/288G06F16/355
Inventor 同文地
Owner BEIJING BYTEDANCE NETWORK TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products