Intention recognition method and system, electronic equipment and readable storage medium

An intent and recognition model technology, applied in the field of deep learning, can solve the problems of poor generalization ability and high training data cost, and achieve the effect of natural interaction, cost saving, and improvement of answering speed and accuracy.

Pending Publication Date: 2021-10-08
SHANGHAI MININGLAMP ARTIFICIAL INTELLIGENCE GRP CO LTD
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The present invention aims at the above-mentioned technical problems of poor generalization ability and high cost of labeling training data in the traditional methods for obtaining intentions, and proposes an intention recognition method, system, electronic equipment and readable storage medium

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
  • Intention recognition method and system, electronic equipment and readable storage medium
  • Intention recognition method and system, electronic equipment and readable storage medium
  • Intention recognition method and system, electronic equipment and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] figure 1 It is a schematic diagram of the steps of an intention identification method provided by the present invention. Such as figure 1 As shown, this embodiment discloses a specific implementation of an intent recognition method (hereinafter referred to as "method").

[0048] Specifically, the method disclosed in this embodiment mainly includes the following steps:

[0049] Step S1: using crawler technology to crawl "question-answer" data from the Internet;

[0050] Specifically, the crawled "question-answer" data includes relevant information such as question information, answer path information, and answer information, and data cleaning is performed on the crawled "question-answer" data, such as removing Irrelevant information, unifying the data format, and removing noise data, etc., finally form a standardized structural form that can be easily read by computer code.

[0051] Step S2: Identify the intent category of the answer corresponding to each question in...

Embodiment 2

[0068] Combining with the intent recognition method disclosed in Embodiment 1, this embodiment discloses a specific implementation example of an intent recognition system (hereinafter referred to as the "system").

[0069] refer to figure 2 As shown, the system includes:

[0070] Data Crawling Unit 1: Use crawler technology to crawl "question-answer" data from the Internet;

[0071] Data processing unit 2: perform data cleaning on the crawled "question-answer" data, and finally form a structure form that can be read by computer code;

[0072] Intent category determination unit 3: setting the category of intentions to be identified in combination with specific scenarios;

[0073] Intention identification unit 4: identifying the intention category of the answer corresponding to each question in the "question-answer" data through the entity recognition model, and obtaining the "question-intent" data;

[0074] Model training unit 5: using the obtained "problem-intent" data as ...

Embodiment 3

[0078] combine image 3 As shown, this embodiment discloses a specific implementation manner of a computer device. The computer device may comprise a processor 81 and a memory 82 storing computer program instructions.

[0079] Specifically, the processor 81 may include a central processing unit (CPU), or an Application Specific Integrated Circuit (ASIC for short), or may be configured to implement one or more integrated circuits in the embodiments of the present application.

[0080] Among them, the memory 82 may include mass storage for data or instructions. For example without limitation, the memory 82 may include a hard disk drive (Hard Disk Drive, referred to as HDD), a floppy disk drive, a solid state drive (SolidState Drive, referred to as SSD), flash memory, optical disk, magneto-optical disk, magnetic tape or universal serial bus (Universal Serial Bus, referred to as USB) drive or a combination of two or more of the above. Storage 82 may comprise removable or non-re...

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 intention recognition method and system, electronic equipment and a readable storage medium. The method comprises the steps: crawling that question-answer data from the Internet through a crawler technology; identifying an intention category of an answer corresponding to each question in the question-answer data through an entity identification model to obtain question-intention data; taking the obtained problem-intention data as training data to train a deep learning model, and obtaining a problem and intention recognition model; inputting the question into the question intention recognition model to obtain an intention corresponding to the question. The problem that training data is difficult to obtain is solved, the cost of manual data annotation is greatly saved, and the method has good generalization ability.

Description

technical field [0001] The present invention relates to the technical field of deep learning, in particular to a method, system, electronic device and readable storage medium for intent recognition. Background technique [0002] Intent recognition, as the name implies, is to judge what a user wants to do or what kind of reply they want, and it has been widely used in search engines, intelligent question and answer and dialogue and other fields. For example, in the field of search engines, intent recognition is used to obtain the most relevant information related to the question entered by the user, which can shorten the user's search time and improve the user experience. In the field of intelligent question answering and dialogue, various intelligent agents such as chat robots and intelligent customer service have entered people's lives, but the types of questions they can answer are limited. In order to enable these intelligent agents to quickly and accurately identify user...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/35G06F40/35G06F40/279G06N3/08G06N3/04G06F16/332G06F16/33G06F16/951
CPCG06F16/353G06F16/355G06F40/35G06F40/279G06N3/08G06F16/3329G06F16/3344G06F16/951G06N3/045
Inventor 薛小娜黄艳香
Owner SHANGHAI MININGLAMP ARTIFICIAL INTELLIGENCE GRP 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