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Computer readable storage medium, intelligent answering method and intelligent answering device

A storage medium and intelligent question-and-answer technology, applied in the field of intelligent interaction, can solve problems such as low intelligence, inaccurate answers, and no establishment, etc., to achieve the effect of improving accuracy, improving intelligence, and complete answer information

Active Publication Date: 2018-11-16
SHANGHAI XIAOI ROBOT TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] However, in the above-mentioned application scenarios, if the method of calculating the similarity with the knowledge base question in the prior art is used to find the answer, there will undoubtedly be a problem that cannot provide an answer, because the existing knowledge base does not have a "by SMS" And the knowledge point corresponding to the answer, furthermore, there are multiple semantic possibilities in the question sentence of "by text message", even if this knowledge point exists, the reply answer may be inaccurate
Therefore, although the question currently entered by the user is related to the previous text, the existing intelligent question answering system cannot accurately determine the actual content of the current question through reasoning, so there are problems with low intelligence, or incorrect answers are returned The problem

Method used

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  • Computer readable storage medium, intelligent answering method and intelligent answering device
  • Computer readable storage medium, intelligent answering method and intelligent answering device
  • Computer readable storage medium, intelligent answering method and intelligent answering device

Examples

Experimental program
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Effect test

example 1

[0124] Example 1: The user enters the information "how to open a credit card through online banking and how to open a color ring tone" at one time.

[0125] Step S301 is executed: receiving the current request information "how to open a credit card through online banking, how to open a CRBT".

[0126] Execute step S302, compare the similarity between the current request information and the questions in the knowledge base, and find that the highest semantic similarity between the current request information and the questions in the knowledge base is less than the preset threshold, that is, there is no corresponding knowledge point in the knowledge base , execute step S303.

[0127] Step S303 is executed to determine whether there is a clause in "how to open a credit card through online banking, and how to open a color ring tone". By identifying "," in the current request information, it is determined that the current request information has a clause, and then respectively obtai...

example 2

[0128] Example 2: The user enters information 1 "How to cancel the CRBT" and gets the answer directly from the knowledge base.

[0129]The user inputs information 2 "how to open a credit card through online banking", and directly obtains the answer from the knowledge base.

[0130] The user enters information 3 "How about via SMS" and cannot directly obtain the answer from the knowledge base, but through the above embodiment, "how about via SMS" is deduced as "how to open a credit card via SMS", and then the answer is obtained from the knowledge base.

[0131] The user inputs information 4 "via WeChat", and the user input information 4 is the current request information.

[0132] Step S301 is executed to receive the current request information "via WeChat".

[0133] Execute step S302, compare the similarity between the current request information and the questions in the knowledge base, and find that the highest semantic similarity between the current request information and ...

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Abstract

Provided are a computer readable storage medium, an intelligent answering method and an intelligent answering device. The intelligent answering method comprises the steps that current request information is received; when answers corresponding to the current request information cannot be directly obtained, reference request information is acquired; according to an abstract semantic database, abstract semantic recommendation processing is conducted on the reference request information and the current request information to obtain a first abstract semantic expression and a second abstract semantic expression; according to the first abstract semantic expression, first semantic filling contents corresponding to missing semantic elements are extracted from the reference request information, andaccording to the second abstract semantic expression, second semantic filling contents corresponding to missing semantic elements are extracted from the current request information; when the second semantic filling contents are matched with part of the first semantic filling contents, the correspondingly matched part of contents in the reference request information is replaced by the matched contents of the second semantic filling contents so as to obtain target input information; the answers corresponding to the target input information are obtained. By adopting the scheme, the accuracy rateof answers can be improved.

Description

[0001] This application is a divisional application with an application date of April 8, 2016, an application number of 201610218261.X, and an invention titled "An Intelligent Question-Answering Method and Device". technical field [0002] The invention relates to the field of intelligent interaction, in particular to a computer-readable storage medium, an intelligent question-answering method and an intelligent question-answering device. Background technique [0003] Knowledge base, also known as intelligent database or artificial intelligence database, in knowledge base, information is effectively organized for retrieval and utilization. Knowledge bases are widely used in the field of artificial intelligence, and one of the typical applications is intelligent question answering system, also known as automatic question system. [0004] Multiple knowledge points are stored in the knowledge base applied to the intelligent question answering system, and each knowledge point in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06F17/30
CPCG06F16/90332G06F40/30
Inventor 朱频频
Owner SHANGHAI XIAOI ROBOT TECH CO LTD
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