Natural language interaction method and system for virtual robot

A virtual robot and natural language technology, applied in the field of natural language interaction and systems for virtual robots, to achieve the effects of flexible configuration and selection, flexible configuration, and flexible expansion

Active Publication Date: 2019-01-25
南京七奇智能科技有限公司
View PDF3 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented technology allows creating an interactive way where people interact naturally without being affected or having their own limitations like typing words into emails. It also provides tools such as Prolog which helps programmers quickly build complex systems from scratches. Overall, it makes building these technologies more efficient than existing methods.

Problems solved by technology

This patented describes various technical problem addressed by the patents relating to artificial intelligence technology called Named Entity Recognition or Interactive Intelligence Network (NER). These techniques allow machines like computers and smartphones to interact more naturally without being constantly trained from scratches. They use complex rules and relationships within them to determine which actions can be done based upon their own preferences rather than requiring manual effort. Additionally, these interactions may involve conversations involving multiple languages instead of only English words alone. Current approaches focus solely on analyzing linguistic expressions themselves while ignoring other aspects associated with communication processes including spoken commands and responses.

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
  • Natural language interaction method and system for virtual robot
  • Natural language interaction method and system for virtual robot
  • Natural language interaction method and system for virtual robot

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0059] combine figure 1 , the embodiment of a virtual robot-oriented natural language interaction method and system, based on automatic speech recognition (ASR) and text conversion output (TTS), understands the text information input by the user, and generates a corresponding response output.

[0060] The virtual robot-oriented natural language interaction method and system provided in the embodiment preloads the user dictionary and establishes and stores the instruction template set defined by the user. After receiving the natural language input by the user, the text content corresponding to the natural language is compared with the user Templates in the set of defined instruction templates are matched to determine user intent.

[0061] A natural language interaction method for virtual robots, comprising the following steps,

[0062] S1. Perform text preprocessing on the text information input by the user after automatic speech recognition processing, including Chinese word ...

Embodiment approach

[0096] When the natural language input cannot correctly determine its clear intention based on the user-defined instruction set template, it will call the open field chat in the background to respond to the user's request input. Such as image 3 As shown in , it is an explanatory schematic diagram of open domain chat, and the specific implementation method is as follows:

[0097] In step S33, the dialogue system interacts with the semantic analysis system through the message bus. After receiving the chat request from the semantic analysis module, the dialogue system will start the business logic to respond to the user's chat request, specifically:

[0098] S331. The dialog system will select and load the corresponding corpus according to the robot personalization parameters input by the user to generate a personalized response output;

[0099] S332. Perform text similarity calculation based on the corpus and user input information to match the corpus output of the dialogue sy...

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 provides a natural language interaction method and a natural language interaction system for a virtual robot, Text preprocessing is carried out on the text information input by the userafter the automatic speech recognition processing, the user intention is determined based on the set of user-defined instruction templates, and corresponding pragmatic analysis and processing is carried out according to different user intentions, including general instruction processing, domain knowledge inquiry and reasoning, and open domain chat. The natural language interaction method for virtual robot can satisfy all the natural language interaction requirements of user's intention interaction, consulting interaction and open chat at the same time under the condition of 'zero intervention'by user.

Description

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

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
Owner 南京七奇智能科技有限公司
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