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Question-answering device and method based on Bayesian network and storage medium

A Bayesian network and question-answering device technology, applied in the field of human-computer interaction, can solve problems such as lack of in-depth reasoning ability, and achieve the effect of improving user interaction experience

Active Publication Date: 2018-03-16
ONE CONNECT SMART TECH CO LTD SHENZHEN
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most of the existing intelligent question answering systems are obtained by searching text or knowledge bases, and most of them do not have deep reasoning capabilities.

Method used

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  • Question-answering device and method based on Bayesian network and storage medium
  • Question-answering device and method based on Bayesian network and storage medium
  • Question-answering device and method based on Bayesian network and storage medium

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Embodiment Construction

[0040] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0041] The present invention provides a question answering device 1 based on Bayesian network. refer to figure 1 Shown is a schematic diagram of a preferred embodiment of the Bayesian network-based question answering device 1 of the present invention.

[0042] In this embodiment, the Bayesian network-based question answering device 1 may be electronic devices with computing functions such as smart phones, tablet computers, e-book readers, and portable computers.

[0043] The Bayesian network-based question answering device 1 includes a memory 11 , a processor 12 , a display 13 , a communication bus 14 and a network interface 15 . The device obtains service data from a service database through a network.

[0044] The storage 11 includes internal memory and at least one type of readable storage medium. The memory pr...

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Abstract

The invention provides a question-answering method based on a Bayesian network. The method includes: receiving and parsing a question sentence, which is input by a user through a client, to identify atarget parameter, which represents user intent, and attribute parameters, which are associated with the target parameter, in the question sentence; inputting the target parameter and the attribute parameters into a pre-trained Bayesian network model, and utilizing a directed acyclic graph (DAG) and a conditional probability table set of the Bayesian network model to infer and obtain a value of the target parameter; and feeding back the value, which is of the target parameter and inferred and obtained by the Bayesian network model, to the user. According to the method, causal reasoning is carried out on the question sentence, and a question provided by the user is answered on the basis of a reasoning result. The invention also provides a question-answering device based on the Bayesian network and a computer-readable storage medium.

Description

technical field [0001] The present invention relates to the technical field of human-computer interaction, in particular to a Bayesian network-based question answering device, method and computer-readable storage medium. Background technique [0002] Human-computer interaction is a science that studies the interactive relationship between systems and users. Among them, a system can be a variety of machines, or it can be a computerized system and software. Various artificial intelligence systems can be realized through human-computer interaction, such as intelligent customer service systems, voice control systems, and so on. The intelligent question answering system is a typical application of human-computer interaction. When a customer asks a question, the intelligent question answering system automatically replies to the user with the answer to the question. However, most of the existing intelligent question answering systems are obtained by searching text or knowledge ba...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/3329G06F16/3346
Inventor 徐国强
Owner ONE CONNECT SMART TECH CO LTD SHENZHEN
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