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Intelligent question answering method based on machine reading understanding and common question answering model

A technology for reading comprehension and intelligent question answering, applied in neural learning methods, biological neural network models, special data processing applications, etc. Market value, solve the effect of low practicability

Pending Publication Date: 2022-04-15
WUHAN UNIV OF SCI & TECH
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Problems solved by technology

It makes it impossible for users to solve problems in time, and consumes users' online time

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  • Intelligent question answering method based on machine reading understanding and common question answering model
  • Intelligent question answering method based on machine reading understanding and common question answering model
  • Intelligent question answering method based on machine reading understanding and common question answering model

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[0041] The technical solution of the present invention will be specifically described below with reference to the accompanying drawings and examples.

[0042] In order to more clear and intuitive demonstration, the technical solutions and advantages of the present invention will be described in detail below with reference to the accompanying drawings and examples. figure 1 For the overall flow chart of the present invention.

[0043] First, the technical terms of the present invention will be explained and explained:

[0044] MRC: MRC is the abbreviation of Machine Reading Comprehens, meaning that machine reading is understood, the model used in this article is the extraction machine reading comprehension model, that is, the answer to the answer to extract the intravinct fragment;

[0045] FAQ: FAQ is the abbreviation of frequently asked Questions, meaningful questions;

[0046] RNN: Recurrent Neural Network is a class of recursive neural networks that are recursive in sequence da...

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Abstract

The invention discloses an intelligent question-answering method based on a machine reading understanding and common question answering model, and the method comprises the steps: carrying out the collection of question-answering pairs, generating the question-answering pairs based on a system document, and carrying out the arrangement and filtering, thereby forming a database; model pre-training: training an MRC model and an FAQ model by using the database in the step 1; verifying user login; user question information collection: obtaining question information input by a user from a front end and inputting the question information into the pre-trained model; and answer generation: adopting an FAQ model to generate an answer based on semantic similarity matching, and if a result is not ideal, inputting a user question text into an MRC model to obtain a question answer and returning the question answer to a front end for display. The method supports multi-mode retrieval, can intelligently and deeply understand documents to provide answers under the condition that a common question answering model is not ideal in effect, so that the generated answers are more targeted, more references are provided for solving questions of a user, meanwhile, supplementation can be provided for a common question answering data set, and a question answering cold start mechanism is realized.

Description

Technical field [0001] The present invention belongs to the field of natural language processing, and more particularly to a smart question and answer method based on machine reading comprehension and common problem solution model. Background technique [0002] With the continuous development of China's natural language processing [1], machine reading comprehension and common problem solution technology are also widely used in various fields to help people get valuable information from a large number of texts. Natural language understanding is an important research area of ​​artificial intelligence, and it is a technical issue that must be solved in the process of achieving intelligence. The ultimate goal of natural language understanding is to make the machine to understand human language, and implement the machine through language symbols to understand human needs, thus intelligently serving humans. · [0003] MRC is an abbreviation of English Machine Reading Comprehens, meanin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/332G06F40/289G06F40/30G06F16/338G06N3/04G06N3/08
Inventor 高峰杨梓航刘宇顾进广刘茂福曾燕
Owner WUHAN UNIV OF SCI & TECH
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