Intelligent question-answering method and device based on federated learning, equipment and storage medium

An intelligent Q&A, federated technology, applied in the field of financial technology, which can solve the problems of inaccurate responses and long waiting time for intelligent Q&A.

Pending Publication Date: 2020-07-14
WEBANK (CHINA)
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to provide an intelligent question answering method, device, equipment and storage medium based on federated learning, aiming to solve the technical problems of long waiting time and inaccurate answers in the intelligent question answering in the prior art

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Embodiment Construction

[0052] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0053] The present invention provides an intelligent question answering device based on federated learning, referring to figure 1 , figure 1 It is a schematic structural diagram of the hardware operating environment of the device involved in the embodiment of the intelligent question answering device based on federated learning in the present invention.

[0054] Such as figure 1 As shown, the intelligent question answering device based on federated learning may include: a processor 1001 , such as a CPU, a communication bus 1002 , a user interface 1003 , a network interface 1004 , and a memory 1005 . Wherein, the communication bus 1002 is used to realize connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), ...

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Abstract

The invention discloses an intelligent question-answering method and device based on federated learning, equipment and a storage medium, and the method is applied to terminal equipment, and comprisesthe steps: calling a local classification model based on the federated learning to determine the type of a to-be-consulted question when the to-be-consulted question is received; calling a local federated learning-based semantic comprehension model to retrieve each similar question corresponding to the question type to obtain a matching question corresponding to the to-be-consulted question; obtaining a reference answer corresponding to the matched question, and outputting the reference answer as a reply corresponding to the to-be-consulted question, wherein the classification model and the semantic comprehension model are respectively generated by executing federated learning algorithm training based on classification samples and semantic comprehension samples of the multi-party terminalequipment. According to the intelligent question and answer realized based on the federated learning classification model and the semantic comprehension model, the intelligent question and answer efficiency is improved through classification retrieval, and meanwhile, the question and answer accuracy and the security of data of each party are ensured.

Description

technical field [0001] The present invention relates to the technical field of financial technology (Fintech), in particular to an intelligent question answering method, device, equipment and storage medium based on federated learning. Background technique [0002] With the continuous development of financial technology (Fintech), especially Internet technology finance, more and more technologies (such as artificial intelligence, big data, cloud storage, etc.) Higher requirements, such as requiring more comprehensive and accurate intelligent question answering. [0003] With the rapid development of network platforms, the demand for artificial seats is increasing. In order to alleviate the pressure of artificial seats, more and more network platforms are equipped with intelligent robots to provide customers with intelligent question-and-answer services. In the process of intelligent question answering, the types of questions asked by different customers are very different, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/33G06F16/332G06F16/35G06F40/30G06N20/00
CPCG06F16/3329G06F16/3344G06F16/35G06N20/00
Inventor 杨海军徐倩杨强
Owner WEBANK (CHINA)
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