BERT-based intelligent question and answer implementation method and system

A technology of intelligent question answering and implementation method, which is applied in the fields of instruments, electrical digital data processing, computer parts, etc., can solve the problem of low accuracy of intelligent question answering, and achieves the effect of convenient application and high accuracy.

Pending Publication Date: 2020-08-14
武汉烽火普天信息技术有限公司
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AI Technical Summary

Problems solved by technology

[0004] In order to overcome the above-mentioned deficiencies of the prior art, the present invention proposes a BERT-based intelligen...

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  • BERT-based intelligent question and answer implementation method and system
  • BERT-based intelligent question and answer implementation method and system
  • BERT-based intelligent question and answer implementation method and system

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Embodiment Construction

[0042] The following examples are presented to illustrate certain embodiments of the invention and should not be construed as limiting the scope of the invention. The content disclosed in the present invention can be improved simultaneously from materials, methods and reaction conditions, and all these improvements should fall within the spirit and scope of the present invention.

[0043] Such as figure 1 As shown, a BERT-based intelligent question and answer implementation system includes a receiving module, a preprocessing module, an intent module, a retrieval module, a knowledge base, a sorting module, a matching algorithm module, and an answer configuration module; The steps for implementing the system to perform intelligent question answering processing include the following:

[0044] S1: The receiving module receives the question sent by the client through the HTTP request, and the question is described in text;

[0045] S2: The preprocessing module removes the special...

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Abstract

The invention relates to a BERT-based intelligent question and answer implementation method and system. The method specifically comprises the following steps of S1, receiving a question input by a user; s2, normalizing the questions input by the user; s3, inputting the questions processed by the preprocessing module into a BERT-based question intention classification model for classification; s4,retrieving corresponding questions and corresponding answers from the knowledge base to obtain a candidate question set and a corresponding answer set; s5, sorting the candidate question set and the answer set according to a certain rule; s6, establishing a matching pair for the input question and the sorted candidate question set, and inputting the matching pair into a BERT-based question similarity matching model to obtain similarity; and S7, obtaining a final answer according to the similarity of the candidate question set, and feeding back the final answer to the user side. According to the intelligent question and answer implementation method and system, the pre-trained Chinese BERT model is adopted, so that a machine has prior knowledge, and the accuracy of intelligent question and answer is improved.

Description

technical field [0001] The invention relates to the field of intelligent question answering, in particular to a BERT-based intelligent question answering method and system. Background technique [0002] In recent years, with the development of big data and computer technology, question answering systems have been applied in various industries, and question answering systems have also become a key component of intelligent robots, affecting the important link of robot-human communication and interaction. And intelligent question answering is to give a behavioral content, ask questions about the possible occurrence of the content, and predict the correct answer among the answer options. This field is a research field combining artificial intelligence and natural language processing. [0003] In intelligent question answering, when we have a reserve of prior knowledge, it is easy to make reasoning answers, but it is a considerable challenge for machines. One solution is that it...

Claims

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Application Information

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IPC IPC(8): G06F16/332G06F16/35G06F16/31G06F16/36G06K9/62
CPCG06F16/3329G06F16/35G06F16/316G06F16/36G06F18/22
Inventor 孙涛杨丽龚梁吴怡菲杨绪升金勇
Owner 武汉烽火普天信息技术有限公司
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