Entity recognition model generation method and device, electronic equipment and storage medium

Abstract

The invention discloses an entity recognition model generation method and device, electronic equipment and a storage medium, and relates to the technical field of natural language processing, deep learning and voice interaction. According to the specific scheme, the method comprises the following steps: training the entity recognition target model by acquiring second standard data for the target entity category, therefore, the entity identification target model only has the capability of identifying the target entity category, and the entity identification capability of the entity identification target model is minimized, so that other entity identification capabilities can be effectively prevented from being stolen from the entity identification target model, and the security is improved.Because the entity identification target model only has the capability of identifying the target entity category, the complexity is low, and the occupied storage space is small, so the entity identification target model can run locally in the intelligent equipment to provide a dialogue entity identification service. Therefore, resources of the cloud server can be saved, intelligent interaction can still be realized under the condition that the cloud server cannot be requested, and the availability is high.

Description

technical field [0001] Embodiments of the present application generally relate to the field of computer technologies, and more specifically, relate to the fields of natural language processing, deep learning, and voice interaction technologies. Background technique [0002] With the rapid development of artificial intelligence and Internet of Things technology, more and more smart devices have intelligent voice interaction capabilities, such as smart wearable devices, smart speakers, and smart robots. The intelligent interaction capability of smart devices depends on the cloud dialogue entity recognition service, and Natural Language Understanding (NLU) is particularly dependent on the cloud dialogue entity recognition service. When the smart device cannot request the cloud dialogue entity recognition service, NLU technology It is also unavailable, resulting in the inability of smart devices to achieve intelligent interaction. [0003] However, currently there is no solutio...

AI Technical Summary

Problems solved by technology

The intelligent interaction capability of smart devices depends on the cloud dialogue entity recognition service, and Natural Language Understanding (NLU) is particularly dependent on the cloud dialogue entity recognition service. When the smart device cannot request the cloud dialogue entity recognition service, NLU technology It is also unavailable, resulting in the inability of smart devices to achieve intelligent interaction

[0003] However, currently there is no solution to solve the above problem

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