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Intelligent question and answer method and system

A technology for intelligent question answering and questioning, applied in the field of text processing, can solve problems such as poor pertinence and low accuracy of question answering, and achieve the effect of good pertinence and high accuracy

Inactive Publication Date: 2018-03-20
NORTHEAST NORMAL UNIVERSITY
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Problems solved by technology

[0004] The purpose of the present invention is to propose an intelligent question answering method and an intelligent question answering system, which are used to solve the technical problems of poor pertinence and low accuracy of answering questions in the prior art

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  • Intelligent question and answer method and system

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Embodiment Construction

[0050] The technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0051] This application proposes an intelligent question answering method, figure 1 It is a flow chart of the intelligent question answering method of the present application. Such as figure 1 As shown, the intelligent question answering method of the present application comprises the following steps:

[0052] Step S1, establishing a knowledge graph in related fields.

[0053] Traditional information extraction methods include: dictionary matching, s...

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Abstract

The invention provides an intelligent question and answer method and system. The technical problems that an existing intelligent question and answer method is poor in pertinence and low in question and answer accuracy rate are solved. The intelligent question and answer method comprises the following steps that 1, a knowledge graph in related fields is established; 2, voice of questions of a useris converted into text; 3, the text is quantified by using a skip-gram model, and a question vector matrix is generated; 4, a convolutional neural network is used for generating a question feature vector from the question vector matrix; 5, the similarity of the user's question feature vector and candidate answer feature vector is calculated; 6, answers are fed back to the user through rank learning.

Description

technical field [0001] This application relates to the technical field of text processing, in particular to an intelligent question answering method and system thereof. Background technique [0002] The intelligent question answering system can be divided into two types: closed field and open field according to the knowledge field. The closed field focuses on answering questions in specific fields, and the questioner can only ask some field-related questions and obtain answers. The open domain system does not set the scope of the question, and the questioner can put forward the topic he is interested in, and get the answer he wants from this type of system. [0003] Most of the currently popular question-answering robots are based on intelligent question-answering systems in the open field, such as Microsoft Xiaobing based on Internet predictions and user click logs, Baidu Voice Assistant based on Baidu search logs, etc. These open intelligent robots cannot target Questions...

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Application Information

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IPC IPC(8): G06F17/30G06N3/04G10L15/26
CPCG06F16/3329G06F16/367G10L15/26G06N3/045
Inventor 张邦佐武志远孙小新冯国忠
Owner NORTHEAST NORMAL UNIVERSITY
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