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Question-answering method and system based on multi-model fusion

A multi-model and model technology, applied in the field of question answering methods and systems based on multi-model fusion, can solve problems such as time-consuming, unfavorable system maintenance, affecting system execution efficiency, etc., to achieve high efficiency, accurate understanding, and interpretability. strong effect

Inactive Publication Date: 2020-01-24
SUNYARD SYST ENG CO LTD
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Existing robots based on intent recognition and dialogue management require a large amount of labeled corpus for feature learning. The labeling process will consume a lot of manpower and material resources, affect the execution efficiency of the entire system, is not conducive to system maintenance, and affects the robustness and reliability of the system. Growability

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  • Question-answering method and system based on multi-model fusion
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  • Question-answering method and system based on multi-model fusion

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Embodiment Construction

[0023] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. 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.

[0024] The terms "comprising" and "having" and any variations thereof in the specification and claims of the present invention and the above drawings are intended to cover non-exclusive inclusion, and the terms "first" and "second" are only used for distinguishing names , does not represent the size or ordering of numbers. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units...

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Abstract

The embodiment of the invention discloses a question-answering method and system based on multi-model fusion. The method comprises the following steps: constructing a knowledge base and a knowledge graph, conducting question analysis on input original questions in combination with the knowledge base and the knowledge graph, obtaining question analysis data, retrieving the question analysis data based on a matching method indicated by a fusion model, and obtaining question answers corresponding to the original questions. According to the method, higher efficiency can be achieved on the premisethat accuracy is guaranteed in the process of searching for the answers corresponding to the original questions through the fusion model, the deep learning model is increasingly robust along with increase of the data volume, the overall model understands semantics more accurately, and real intelligence can be injected to the robot.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence question answering systems, in particular to a question answering method and system based on multi-model fusion. Background technique [0002] With the development of big data and deep learning technology, it will no longer be a fantasy to create an automatic human-machine dialogue system as our personal assistant or chat partner. [0003] At present, dialogue systems are attracting more and more attention in various fields, and the continuous progress of deep learning technology has greatly promoted the development of dialogue systems. For dialogue systems, deep learning techniques can utilize large amounts of data to learn feature representation and response generation strategies, which only require a small amount of manual operations. Existing robots based on intent recognition and dialogue management require a large amount of labeled corpus for feature learning. The labeling p...

Claims

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Application Information

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IPC IPC(8): G06F16/332G06F16/36G06F16/35
CPCG06F16/3329G06F16/367G06F16/355
Inventor 宣明辉林路王慜骊郏维强黄页
Owner SUNYARD SYST ENG CO LTD
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