Entity relationship mining method and device combining RPA and AI, electronic equipment and medium

Abstract

The invention provides an entity relationship mining method and device combining RPA and AI, electronic equipment and a medium. The method is applied to NLP (Natural Language Processing), and the method comprises the following steps: obtaining a plurality of test entities by adopting a robot process automation RPA method; determining a plurality of initial test entity representations respectively corresponding to the plurality of test entities; performing adjustment processing on the plurality of initial test entity representations in combination with artificial intelligence AI to obtain a plurality of target test entity representations; and respectively inputting the plurality of target test entity representations into a knowledge reasoning model in artificial intelligence AI by adopting an RPA method to obtain a predicted entity relationship among part of test entities predicted by the knowledge reasoning model. When the entity relationship is predicted by combining artificial intelligence AI with robot process automation RPA, the entity relationship mining efficiency and the intelligence degree can be effectively improved, the entity relationship among part of test entities can be accurately predicted, and the applicability of the entity relationship mining method can be effectively expanded.

Description

technical field [0001] The present disclosure relates to the technical field of computer technology, applied to Natural Language Processing (Natural Language Processing, NLP), and in particular to an entity relationship mining method combining RPA (Robotic Process Automation, robotic process automation) and AI (Artificial Intelligence, artificial intelligence), devices, electronic equipment and media. Background technique [0002] Robotic Process Automation (RPA) is abbreviated as RPA, which simulates human operations on computers through specific "robot software", and automatically executes process tasks according to rules. [0003] Artificial Intelligence (AI) is a technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. [0004] In related technologies, when mining entity relationships, due to the lack of sample entities and too sparse samples, the learning of sample en...

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Problems solved by technology

[0004] In related technologies, when mining entity relationships, due to the lack of sample entities and too sparse samples, the learning of sample entities is limited to a certain field, which affects the scope of application of the knowledge reasoning model (the knowledge reasoning model is used to predict entity relationships). , leading to poor entity relationship mining between test samples

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