Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Intention recognition method, device and equipment and storage medium

An identification method and intent technology, applied in digital data information retrieval, special data processing applications, instruments, etc., can solve problems such as interference with model judgment, affecting the accuracy and efficiency of model intent identification, etc.

Pending Publication Date: 2020-10-02
WEBANK (CHINA)
View PDF0 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The existing intention recognition methods generally directly input a whole sentence input by the user into the intention recognition model to identify the user's intention. However, this often interferes with the judgment of the model due to too much useless information input by the user, thus affecting Accuracy and efficiency of model intent recognition

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, device and equipment and storage medium
  • Intention recognition method, device and equipment and storage medium
  • Intention recognition method, device and equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0097] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0098] For ease of understanding, terms that may be involved in the embodiments of the present invention are defined and explained below.

[0099] Sequence labeling: The sequence labeling problem is the most common problem in Natural Language Processing (NLP), and most NLP problems can be transformed into sequence labeling problems. Sequence labeling is for a one-dimensional linear input sequence: x=x 1 , x 2 , x 3 ,...x n , la...

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, device and equipment, and a storage medium. The intention recognition method comprises the steps of receiving to-be-recognized text information; segmenting each statement in the text into statement sub-fragments with different semantics respectively; extracting a keyword of each statement sub-segment; inputting the statement sub-segments andthe keywords extracted from the statement sub-segments into a text classification model for classification to obtain a classification result; recombining the statement sub-fragments of which the classification result is the specified category in sequence to obtain a recombined text; and performing intention recognition on the recombined text. According to the intention recognition method providedby the invention, the accuracy and efficiency of text intention recognition are improved.

Description

technical field [0001] The present invention relates to the technical field of natural language processing, in particular to an intention recognition method, device, equipment and storage medium. Background technique [0002] The intelligent dialogue system is a human-computer interaction system based on natural language, which uses intelligent algorithms such as machine learning, deep learning, reinforcement learning or migration learning to enable machines to understand human language and communicate effectively with humans, and then to understand human language. A system intended to understand and perform a specific task or answer. [0003] The existing intention recognition methods generally directly input a whole sentence input by the user into the intention recognition model to identify the user's intention. However, this often interferes with the judgment of the model due to too much useless information input by the user, thus affecting The accuracy and efficiency of...

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): G06F40/279G06F40/35G06F40/205G06F40/117G06F16/35G06F16/332
CPCG06F40/279G06F40/35G06F40/205G06F40/117G06F16/355G06F16/3329
Inventor 周楠楠汤耀华杨海军徐倩
Owner WEBANK (CHINA)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com