Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Automatic sketch map classification method and device

A classification method and classification device technology, applied in the fields of communication technology, computer technology, and artificial intelligence, can solve problems such as long processes, achieve interactive intelligence, and save labor costs.

Inactive Publication Date: 2018-05-18
BEIJING LING TECH CO LTD
View PDF6 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional way of building an intent classifier requires collecting a large number of preset trigger sentences, and you can choose to write or collect data yourself, but it is a very long process, especially for non-task-type (chat) chatbots with unclear scenarios. embodies this characteristic

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
  • Automatic sketch map classification method and device
  • Automatic sketch map classification method and device
  • Automatic sketch map classification method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] In order to make the purpose, technical solution and advantages of the application clearer, the technical solution of the application will be clearly and completely described below in conjunction with specific embodiments of the application and corresponding drawings. Apparently, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0042] figure 1 A flow chart of an automatic intent classification method provided by the present invention, the flow chart includes:

[0043] Step 105, the content of user voice input is matched with the sentence bank of affirmative intention, negative intention and specific answer intention respectively, obtains respectively the first affirmative intention score, the f...

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 automatic sketch map classification method and device. The method comprises the following steps that: independently matching contents input by the voice of a user with the sentence libraries of positive intentions, negative intentions and specific answer intentions to independently obtain a first positive intention score, a first negative intention score and a first specific answer intention score; and judging whether the first positive intention score, the first negative intention score or the first specific answer intention score achieves a first corresponding appointed score or not, and outputting a corresponding result. By use of the method, contents input by the user are classified, a system automatically replies, interaction is more accurate, manual cost isgreatly saved, and an effect of ''a continuous dialogue around the same theme'' can be achieved.

Description

technical field [0001] The present application relates to the fields of computer technology, communication technology, and artificial intelligence technology, and in particular to an automatic intent classification method and device. Background technique [0002] The traditional voice interaction of robots is a one-way matching system, which analyzes the content input by the user's voice and retrieves and returns the preset answers. The traditional way of building an intent classifier requires collecting a large number of preset trigger sentences, and you can choose to write or collect data yourself, but it is a very long process, especially for non-task-type (chat) chatbots with unclear scenarios. embodies this characteristic. In the existing technology, such as Figure 5 The method shown is used to realize voice interaction, such as the user voice input "Who are you", the artificial intelligence device microphone picks up the sound, classifies the input sentences into pre...

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): G06N3/00G06F17/30G06F17/27
CPCG06F16/35G06F40/30G06N3/008
Inventor 林莉凯顾嘉唯
Owner BEIJING LING 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
Eureka Blog
Learn More
PatSnap group products