Intention classification method, device and intelligent question answering method based on service corpus

A classification method and intent technology, applied in the field of artificial intelligence, can solve the problems of not adapting business corpus, influence, and inability to closely connect with the actual business needs of users, so as to improve the friendliness of replies and the effect of accurate replies

Active Publication Date: 2019-02-01
安徽省泰岳祥升软件有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] However, the intent classification method in the prior art only generally classifies user intent according to the business domain, and cannot closely relate to the actual business needs generated by the user in the specific business domain, nor does it adapt to each demand. Business corpus, it is easy to cause errors that the intent classification does not match the actual business needs, and further affect the accuracy of the reply content generated by the question answering system under specific business needs

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  • Intention classification method, device and intelligent question answering method based on service corpus
  • Intention classification method, device and intelligent question answering method based on service corpus

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Embodiment 1

[0033] The embodiment of this application provides a business corpus-based intent classification method, see figure 1 , is a flow chart of a business corpus-based intent classification method provided in the embodiment of this application, such as figure 1 As shown, the method includes the following steps:

[0034] Step S110, setting the type of intent according to business requirements;

[0035] In the embodiment of this application, the intent is composed of category, user question method and reply source, wherein the category is set according to business requirements. In an optional implementation, the category can include FAQ intent, slot intent, greeting intent and structure Intent, where:

[0036] FAQ is intended to be used in a question-and-answer situation where one question corresponds to one reply. For example, there is a welcome robot in the lobby of a certain bank. When a user asks the welcome robot: "Which window is the large-value transfer?", the user's busine...

Embodiment 2

[0095] The embodiment of the present application provides an intention classification device based on business corpus, see image 3 , which is a block diagram of a business corpus-based intent classification device provided in the embodiment of the present application, such as image 3 As shown, the device includes:

[0096] A category setting unit 210, configured to set the category of the intention according to business requirements;

[0097] A user question setting unit 220, configured to set a user question matching the business requirement according to the category of the intention;

[0098] The reply source setting unit 230 is configured to set the reply source of the intention, and the reply source is associated with a corresponding knowledge base, knowledge category or knowledge entry in the business corpus.

[0099] Figure 4 A block diagram of another device for classifying intentions based on business corpus provided by the embodiment of the present application. ...

Embodiment 3

[0106] The embodiment of this application provides an intelligent question answering method, see Figure 5 , is a flow chart of an intelligent question answering method provided in the embodiment of the present application, such as Figure 5 As shown, the method includes the following steps:

[0107] Step S310, according to the user question method in the classified intentions, identify the intention contained in the user question.

[0108] In step S310, the content of the user's question is matched with the user's usage in each classified intention. If the content of the user's question is successfully matched with the user's question in a certain intention, the user's question contains the matched intention. .

[0109] Step S320, obtaining the reply content from the knowledge base, knowledge category or knowledge entry associated with the intended reply source.

[0110] In this application, the intended reply source is associated with the knowledge base, knowledge categor...

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Abstract

Embodiments of the present application provide an intention classification method, apparatus, and intelligent question answering method based on a service corpus. Intent consists of categories, user interrogations, and reply sources. In the intent classification, the intent category is set according to the business requirements; According to the category of the intent, setting user interrogationsmatching the business requirements; Setting a reply source for the intent, the reply source is associated with a corresponding knowledge base in the business corpus, a knowledge category or item, making intent and business corpus logically independent of each other, through the intent of the user question and the reply source and so on to form a corresponding relationship, After this correspondence is established, The process of using business corpus to train intelligent question answering system becomes the process of intent training of intelligent question answering system, which enables intelligent question answering system to accurately identify user's intent from user's questions after training, give more accurate answers to questions, and improve the response friendliness of intelligent question answering system.

Description

[0001] This application claims the priority of the Chinese patent application submitted to the China Patent Office on June 5, 2018, with the application number 201810569281.0, and the title of the invention is "Intent classification method, device and intelligent question answering method based on business corpus", the entire content of which is passed References are incorporated in this application. technical field [0002] The present application relates to the technical field of artificial intelligence, in particular to a business corpus-based intent classification method, device and intelligent question answering method. Background technique [0003] Artificial intelligence (English: Artificial Intelligence, AI), also known as machine intelligence, refers to the intelligence shown by machines made by humans. Generally, artificial intelligence refers to human-like intelligence technology realized through computer programs. [0004] Intelligent question answering system i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/332G06N5/02
Inventor 杨凯程张正蒋宏飞
Owner 安徽省泰岳祥升软件有限公司
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