Method, device and equipment for obtaining supervision recognition result in multiple modes and storage medium

Abstract

The invention relates to the field of artificial intelligence, discloses a method, device and equipment for obtaining a supervision recognition result in multiple modes and a storage medium, and solves the problem of semantic similarity matching of current business supervision terms and business products. The method comprises the following steps: creating a knowledge graph; processing the knowledge graph according to a first preset rule, a second preset rule and the entity relationship file to obtain an entity and an entity relationship; updating the knowledge graph according to the entities and the entity relationship to obtain a target knowledge graph; analyzing the target knowledge graph and the training text through an encoder to obtain fused to-be-processed information; performing random masking processing on the fused to-be-processed information according to a preset strategy to obtain training data; performing word embedding vector processing and self-made force mechanism processing on the training data to obtain a target sentence vector and a target word vector; and calculating a weighted average value of the semantic cosine similarity and the character string similarity ofthe target sentence vector and the target word vector according to a preset weight ratio to obtain a supervision and identification result.

Description

technical field [0001] The present application relates to the field of natural language processing, and in particular to a method, device, device and storage medium for multi-modal acquisition of regulatory recognition results. Background technique [0002] Business products in some specific fields can only be identified through manual review for regulatory terms. Manual review is not only time-consuming and laborious, but also has the possibility of misjudgment. In order to solve the misjudgment and management problems in manual review, rules and pattern matching are used to screen and process the review of business terms. understand and match. [0003] The review of business terms through the screening and processing of rules and pattern matching has the problem of incomplete enumeration of business products. For example: the terms need to determine whether the product has continuous payment rewards, and only search by characters according to the keyword "business contin...

AI Technical Summary

Problems solved by technology

When the keywords listed manually are not sufficient, the judgment will be missed, and only relying on manual listing of keywords is labor-intensive, and the possibility of incomplete listing is relatively high

[0004] At present, the problem of incomplete enumeration of business products is solved by the method of similar Jaccard distance and edit distance, but similar Jaccard distance and edit distance can only match literal similarity, and cannot further match semantic similarity, and cannot adapt to the endless business Description Changes for New Terms

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