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Answer query method, device, equipment and storage medium based on knowledge graph

A knowledge map and query method technology, which is applied in the field of equipment, storage media, devices, and answer query methods based on knowledge maps, can solve problems such as the inability to guarantee the credibility of answers, and achieve the effect of improving credibility

Active Publication Date: 2022-04-05
BEIJING SANKUAI ONLINE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The only answer that can be queried in the above question answering system can give correct answers to objective questions, but the answers given to subjective questions cannot guarantee its credibility

Method used

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  • Answer query method, device, equipment and storage medium based on knowledge graph
  • Answer query method, device, equipment and storage medium based on knowledge graph
  • Answer query method, device, equipment and storage medium based on knowledge graph

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Embodiment Construction

[0027] In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0028] First, several nouns involved in this application are introduced:

[0029] Subjective questions refer to questions supported by human consciousness; unlike objective questions, which have correct answers, this type of question can have multiple different viewpoints, and different viewpoints correspond to different answers. The answer to subjective questions depends on the existence of human consciousness; for example, whether the prototype of the characters in Da Vinci's painting "Mona Lisa" is male or female, some scholars believe that the prototype of Mona Lisa is male, and some scholars believe that The archetype of the Mona Lisa is female, and every point of view has evidence to support it. That is to say, different pe...

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Abstract

The application discloses an answer query method, device, equipment and storage medium based on a knowledge graph, belonging to the technical field of information search. The method includes: acquiring a subjective question input on a terminal, where the subjective question refers to a question dominated by human consciousness; invoking an intention recognition model to identify the question intention from the subjective question, and the question intention is used to reflect the point of view that the user wants to know; Based on the question intention, the answer to the subjective question and the evidence set supporting the answer are queried from the knowledge graph, and the evidence set is used to support the viewpoint stated in the answer. This method uses opinion as an entity to construct a knowledge map, and adds evidence entities to the knowledge map. While querying the answers to subjective questions, it will also provide evidence sets corresponding to opinion-based answers, increasing the credibility of the answers.

Description

technical field [0001] The present application relates to the technical field of information search, in particular to an answer query method, device, equipment and storage medium based on a knowledge graph. Background technique [0002] Question Answering system (Question Answering system, QA) is an advanced form of information retrieval system, it can use accurate and concise natural language to answer questions raised by users in natural language, it can be applied to teaching, intelligent customer service, robots and other scenarios. [0003] Common question answering systems include question answering systems based on structured data, such as Knowledge Base Question Answering (KBQA), text-based question answering systems, such as reading comprehension question answering, and question answering systems based on question-answer pairs, such as retrieval question answering (Frequently Asked Questions, FAQ). Among them, FAQ is a question-and-answer pair that organizes common...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/332G06F16/33G06F16/338G06F16/36
CPCG06F16/3329G06F16/3343G06F16/338G06F16/367
Inventor 王思睿李明洋朱桐张鸿志张富峥王仲远
Owner BEIJING SANKUAI ONLINE TECH CO LTD