Intelligent question answering method and device for multi-source heterogeneous data sources

Abstract

The present invention provides an intelligent question answering method and device for multi-source heterogeneous data sources. The method includes: calculating the first similarity between an input question and a candidate relationship; obtaining the first answer from a knowledge base according to the first similarity; Enter the question to retrieve the multi-hop text; calculate the second similarity between the sentence in the multi-hop text and the input question and the third similarity between the entity in the multi-hop text and the input question; according to the second similarity and the third Similarity, obtain the second answer from the multi-hop text; determine the relationship between the first answer and the second answer, and output the answer text of the input question. Through the intelligent question answering method and device for multi-source heterogeneous data sources of the present invention, the accuracy and richness of output answers are improved, and a concise and complete answer that is easier for users to understand can be returned.

Description

technical field [0001] The invention relates to the technical fields of deep learning and intelligent question answering, in particular to an intelligent question answering method and device for multi-source heterogeneous data sources. Background technique [0002] The realization of intelligent question answering involves multiple technologies such as knowledge base question answering, information retrieval, and knowledge representation, and has been gradually applied to scenarios such as knowledge acquisition and chat robots. According to the source of question answers, question answering technology can be divided into two directions, one is knowledge base question answering technology whose answers come from structured information; the other is text question answering technology whose answers come from unstructured information. [0003] On the one hand, with the rapid development of deep learning technology, more and more researchers are trying to use deep neural networks...

AI Technical Summary

Problems solved by technology

But these methods only focus on the entity information in the text; lack of filtering of noise sentences, etc., thus reducing the reasoning ability of the model

[0005] In addition, the existing intelligent question answering technology rarely studies the method of using multi-source heterogeneous information sources to combine the two to complement each other.

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