Question and answer method and device based on artificial intelligence, computer equipment and storage medium

An artificial intelligence and manual labeling technology, applied in the field of knowledge graph, can solve the problems of inability to meet the requirements of use, the amount of labeling data is small, and the accuracy is insufficient, and achieve the effect of strong relationship extraction ability, improve accuracy, and improve efficiency.

Pending Publication Date: 2019-12-03
PING AN TECH (SHENZHEN) CO LTD
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the current knowledge graph question answering technology is still in the stage of exploration and research and development, and most of the achievements and progress are still based on academic papers. The specific plan is: according to the questions raised by users, the corresponding papers or websites can be obtained through keyword searches in the database. Literature, users click on the spe

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
  • Question and answer method and device based on artificial intelligence, computer equipment and storage medium
  • Question and answer method and device based on artificial intelligence, computer equipment and storage medium
  • Question and answer method and device based on artificial intelligence, computer equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0061] Example one

[0062] See figure 1 , The present invention discloses a question answering method based on artificial intelligence and a question answering method based on artificial intelligence, including the following steps:

[0063] S1 performs language model training based on the first training data, in which a large number of unlabeled question corpus in a designated field is collected, and the location of the entity in each question corpus is automatically marked to obtain the first training data.

[0064] In step S1, the crawler can actively collect a large number of unlabeled question corpora in designated vertical fields (such as medical field, marine field and other industries that emphasize the depth of knowledge and high professional requirements). The question corpus is mainly question and answer interactive data , And the larger the number of corpora, the better (generally no less than 500,000 data); the task of the above language model training is to predict a wo...

Example Embodiment

[0086] Example two

[0087] Please keep reading figure 2 The present invention shows a question and answer device 10 based on artificial intelligence. In this embodiment, the question and answer device 10 based on artificial intelligence may include or be divided into one or more program modules, and one or more program modules are stored. It is stored in a storage medium and executed by one or more processors to complete the present invention and realize the above-mentioned question and answer method based on artificial intelligence. The program module referred to in the present invention refers to a series of computer program instruction segments that can complete specific functions, and is more suitable than the program itself to describe the execution process of the artificial intelligence-based question and answer device 10 in the storage medium.

[0088] The following description will specifically introduce the functions of each program module in this embodiment:

[0089] The...

Example Embodiment

[0115] Example three

[0116] The present invention also provides a computer device, such as a smart phone, a tablet computer, a notebook computer, a desktop computer, a rack server, a blade server, a tower server or a cabinet server (including independent servers, or more A server cluster composed of two servers), etc. The computer device 20 in this embodiment at least includes but is not limited to: a memory 21 and a processor 22 that can be communicatively connected to each other through a system bus, such as image 3 Shown. It should be pointed out that image 3 Only the computer device 20 having the components 21-22 is shown, but it should be understood that it is not required to implement all the illustrated components, and more or fewer components may be implemented instead.

[0117] In this embodiment, the memory 21 (ie, readable storage medium) includes flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory, etc.), random access memory ...

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 a question and answer method and device based on artificial intelligence, computer equipment and a storage medium, and the method comprises the steps: carrying out the languagemodel training based on first training data, carrying out the NER model training based on second training data and a trained language model, and carrying out the relation matching model training; identifying an entity in a to-be-processed statement based on the trained NER model, and obtaining a relationship corresponding to the to-be-processed statement based on the trained relationship matchingmodel; and determining and outputting an answer corresponding to the to-be-processed statement according to the relationship corresponding to the to-be-processed statement and the entity in the to-be-processed statement. Based on language model transfer learning and graph transfer learning technologies, a training method commonly used by a language model is improved, higher accuracy can be achieved through a small amount of manual marking data, and the method is more suitable for constructing a knowledge graph question-answering system.

Description

technical field [0001] The present invention relates to the technical field of knowledge graphs, in particular to an artificial intelligence-based question answering method, device, computer equipment, and storage medium. Background technique [0002] Knowledge map, also known as scientific knowledge map, is called knowledge domain visualization or knowledge domain mapping map in the library and information industry. It is a series of different graphics that show the process and structural relationship of knowledge development. Because it can provide high-quality structured data, knowledge graphs and question answering systems based on knowledge graphs are used in more and more fields, such as automatic question answering, search engines, and information extraction. A typical knowledge graph is usually expressed in the form of a triplet of head entity, relationship, and tail entity (eg Yao Ming, nationality, China). The expression in this example reflects the fact that Yao M...

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): G06F16/36G06F16/332G06F17/27
CPCG06F16/367G06F16/3329
Inventor 朱威李恬静
Owner PING AN TECH (SHENZHEN) 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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap