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Information processing apparatus, question answering system, information processing method, and storage medium

An information processing device and question answering system technology, which is applied in the direction of reasoning methods, neural learning methods, electrical digital data processing, etc., can solve the problems of not taking into account the generation of answers, low answer accuracy of question content, etc., and achieve the effect of improving answer accuracy

Pending Publication Date: 2022-07-29
RICOH KK
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, in the prior art, when using the answers derived through deep learning to answer the given question content, it is not considered to generate answers based on multiple information including text and images related to the question content, and there is a problem with the question content. Questions with low answer accuracy

Method used

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  • Information processing apparatus, question answering system, information processing method, and storage medium
  • Information processing apparatus, question answering system, information processing method, and storage medium
  • Information processing apparatus, question answering system, information processing method, and storage medium

Examples

Experimental program
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Effect test

Embodiment approach

[0021] Use the following Figure 1 to Figure 12 This embodiment will be described.

[0022] [Overall composition of question answering system 1]

[0023] figure 1 It is a schematic diagram showing the overall configuration of an example of the question answering system according to the present embodiment. figure 1 The illustrated question answering system 1 is an example in which an answer generated by the information processing device 3 is provided to the input device 2 that asks the information processing device 3 a question. The question answering system 1 can perform answer generation, which is one of the natural language processing tasks using the knowledge source 300 generated by the information processing device 3 , for questions generated based on, for example, audio information collected by the input device 2 . like figure 1 As shown, the question answering system 1 includes an input device 2 and an information processing device 3, the input device 2 is a device o...

example 1

[0084] ●Screen display example 1●

[0085] Figure 8 This is a display example of the question input acceptance screen according to the present embodiment. like Figure 8 As shown, after the user or the person in charge of maintenance prepares the question, the display control unit 24 displays the question acceptance screen 2101 including the following contents on the display 206 . On the question acceptance screen 2101, a "question acceptance screen" and designation information requesting the user to input a question are displayed. The question acceptance screen 2101 also includes a "microphone" button 2111 (hereinafter referred to as a microphone button 2111) that is used as a microphone by the user or maintenance personnel, and a "stop" button 2112 (hereinafter referred to as a "stop" button) that is operated after the question content is spoken. stop button 2112). Thereby, the user can operate (press or click, etc.) the microphone button 2111 after confirming the conte...

example 2

[0098] ●Screen display example 2●

[0099] Figure 10 This is an example screen display of the content of the estimation process according to the present embodiment. like Figure 10 As shown, the display control unit 24 displays a response notification screen 2102 including the following contents on the display 206 after receiving the question response sent from the information processing device 3 . On the response notification screen 2102, a "response notification screen" and the content of the answer as the user who responded to the question or the person in charge of maintenance are displayed. In this case, the content of the answer prepared by the answer creation unit 36 ​​includes, for example, the occurrence of the failure, the location identified as the source of occurrence, and the inference by which the information on the processing method is derived. The input device 2 receives the answer content information on the above-mentioned answer content from the informati...

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PUM

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Abstract

The invention relates to an information processing apparatus, a question answering system, an information processing method, and a storage medium, and aims to solve the problem that in the prior art, when answers are made to a question by using answers derived by deep learning, the answers are not generated on the basis of a plurality of pieces of information such as texts and images related to the content of the question, so that the accuracy of the answers is low. The information processing device (3) refers to an answer or an additional question made by the knowledge source (300) in accordance with the question content (step S23), and as a reply from the input device (2), transmits the answer of the question or additional content request information (step S24) indicating an input request for further locking additional content required for the question answer.

Description

technical field [0001] The present invention relates to an information processing apparatus, a question and answer system, an information processing method, and a storage medium. Background technique [0002] In recent years, deep learning has been used in various occasions as one of the methods of machine learning. In this kind of deep learning, there is a network that learns the regularity of the input-output relationship of given existing data as a distributed representation, automatically constructs a model, and outputs predictions for new input data based on the model. In terms of natural language processing, a deep learning basic model, represented by BERT (Bidirectional Encoder Representation from Transformers), which can obtain decentralized representations considering context, has also achieved the highest level in all tasks related to natural language processing. performance. Examples of applications of BERT include classification of speech content in SNS (Social...

Claims

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Application Information

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IPC IPC(8): G06F16/9032
CPCG06F16/90332G06F16/2425G06F16/9035G06F16/906G06N3/08G06N5/04G06N3/045G06F40/279G06F40/166G06F40/40G06F3/14
Inventor 川村晋太郎井口慎也岛田敦子内藤昭一中村真弓
Owner RICOH KK