Data relationship extraction method and device, electronic equipment and storage medium

Abstract

The invention is suitable for the technical field of artificial intelligence, and provides a data relationship extraction method and device, electronic equipment and a storage medium, and the method comprises the steps of obtaining a text sequence from a to-be-processed text, and obtaining a related dependent word of each word in the text sequence and a semantic relationship between each word andthe related dependent word based on a syntax dependency tree; generating a target word embedding vector corresponding to the to-be-processed text according to each word, the related dependent word ofeach word and the semantic relationship; and inputting the target word embedding vector into the deep convolutional neural network, performing entity relationship information extraction on the to-be-processed text based on the target word embedding vector, and obtaining a target entity relationship which is output by the deep convolutional network and has a set prediction probability value. The invention can be applied to a smart medical scene, the extraction convenience and accuracy of the entity relationship in the related information are improved, and the construction of a smart city is promoted.

Description

technical field [0001] The present application belongs to the technical field of artificial intelligence, and in particular relates to a data relationship extraction method, device, electronic equipment and storage medium. Background technique [0002] Information extraction refers to extracting various useful information from natural language processing texts, including but not limited to entities, relationships, events, etc. Among them, relationship extraction is a task in information extraction, which is mainly used to extract the relationship between entities. [0003] In many fields, such as the medical field, there are a large number of texts, including various case records, medical experiment records, etc., which are full of various useful information, so an effective information extraction method is particularly important. [0004] Under normal circumstances, when dealing with domain-oriented data such as medical data, most of the relationship extraction methods rel...

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides a data relationship extraction method, device, electronic equipment, and storage medium to solve the problem that the traditional feature method in the prior art requires a lot of professional energy and professional knowledge, and it is easy to introduce some human errors, and many Deeper features are difficult to be found directly, resulting in poor information utilization and extraction effects

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