Automatic question and answer method, device and equipment and storage medium

Abstract

The invention relates to the technical field of artificial intelligence, and discloses an automatic question and answer method and device, computer equipment and a computer readable storage medium. The method comprises the steps that candidate entities of all words in a to-be-predicted question are acquired according to a preset alias dictionary; based on a preset entity identification model, determining an entity name corresponding to a to-be-predicted problem according to the to-be-predicted problem and the plurality of candidate entities; determining a triple corresponding to the entity name according to the entity name and a preset graph database; based on a preset attribute mapping model, determining a target attribute name corresponding to the to-be-predicted question according to each attribute name and the to-be-predicted question, and taking an attribute value corresponding to the target attribute name as a question and answer of the to-be-predicted question, according to themethod, semantic coding is carried out on entity identification of the problem by the preset entity identification model and attribute mapping of the problem by using the attribute mapping model, andthe representation capability and generalization capability of a machine reading text are improved, so that the accuracy of the preset entity identification model and the attribute mapping model is improved.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular to an automatic question answering method, device, computer equipment and computer-readable storage medium. Background technique [0002] Knowledge graph technology is an important part of artificial intelligence technology, which describes the relationship between concepts, entities and their keys in the objective world in a structured way. Knowledge graph technology provides a better ability to organize, manage and understand the massive information on the Internet, expressing the information on the Internet in a form closer to the human cognitive world. Therefore, establishing a knowledge base with semantic processing capabilities and open interconnection capabilities can generate application value in intelligent information services such as intelligent search, intelligent question answering, and personalized recommendation. [0003] At present, the...

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Problems solved by technology

[0004] The main purpose of this application is to provide an automatic question answering method, device, computer equipment, and computer-readable storage medium, aiming at solving the problem of traditional semantic analysis, which requires marked logical forms as supervisory data, and relies on a small number of logical predicates, while Information retrieval lacks understanding of deep semantics, which leads to technical problems of low accuracy of automatic question answering in semantic analysis and information retrieval

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