Method and device for extracting entity relationship in text, electronic equipment and storage medium

Abstract

The invention provides a method and a device for extracting an entity relationship in a text, electronic equipment and a storage medium, and the method comprises the steps of inputting a to-be-extracted text into a pre-trained concept extraction model to obtain a concept sequence; determining a plurality of tuples to be judged corresponding to the concept sequence according to a preset tuple generation rule; according to at least one feature judgment rule, after generating relationship feature vectors corresponding to the to-be-judged relationship tuples, combining the relationship feature vectors into a relationship feature matrix of the to-be-extracted text; inputting the relation feature matrix into a pre-trained tuple judgment model to obtain tuple judgment result values corresponding to the to-be-judged relation tuples, and further determining a target entity relation of the to-be-extracted text. Thus, the step of obtaining tuples of different dimensions is reduced, and meanwhile, based on judgment of the relation feature matrix, a more reliable basis is provided for judgment of each relation tuple to be judged, and the efficiency and accuracy of extracting the entity relation in the text according to the relation tuple are improved.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular, to a method, apparatus, electronic device and storage medium for extracting entity relationships in text. Background technique [0002] With the rapid development of big data technology, the technology for data processing is also widely used in various fields. The data that needs to be processed in the process of data processing can be roughly divided into two categories, structured data and unstructured data. , and in order to analyze and process data more conveniently, it is often necessary to convert unstructured data into structured data, and then process the converted structured data. The commonly used method of converting unstructured data into structured data It is entity relation extraction. [0003] At this stage, for the entity relationship extraction of text, the specific tuples are extracted from the text first, and then the entity relationship is...

AI Technical Summary

Problems solved by technology

[0003] At this stage, for the entity relationship extraction of text, the specific tuples are extracted from the text first, and then the entity relationship is discriminated. However, the tuple dimensions extracted from the text are all specific dimensions, and the entities between The relationship is often a complex multi-dimensional relationship. Therefore, in the process of extracting and judging the entity relationship, multi-step processing is required, which consumes data processing time and affects the efficiency of entity relationship extraction.

Images