Multi-round dialogue intelligent customer service system based on proprietary word correction and cold start

Abstract

The invention relates to the technical field of customer service systems, and particularly discloses a multi-round dialogue intelligent customer service system based on proprietary word correction andcold start. The system comprises a scene and intention recognition module, an entity grooving recognition module, a multi-round session management module and a model training management module, wherein the scene and intention recognition module, the entity grooving recognition module and the multi-round session management module are sequentially connected through a protocol, and the model training management module is separately connected with the scene and intention recognition module and the entity grooving recognition module through protocols. A proprietary word correction function is applied during the entity grooving process, so that the problem that the user does not definitely input the proprietary nouns set by the system one by one, so that the system cannot identify, is solved. The whole system not only can perform intention switching, but also can perform intention inheritance, and after the BERT is introduced, the manual annotation containing universal nouns can be reduced.

Description

technical field [0001] The invention relates to the technical field of customer service systems, in particular to a multi-round dialogue intelligent customer service system based on proper word correction and cold start. Background technique [0002] In recent years, with the rapid development of big data and deep learning, major manufacturers have begun to vigorously promote the application of artificial intelligence technology, which has also led a wave of artificial intelligence research and formed a future technology trend. As one of the important directions of artificial intelligence, natural language has already appeared in many fields. [0003] In traditional marketing, human customer service is an unavoidable marketing cost, but in most cases, human customer service only needs to answer a large number of repetitive mechanical answers to certain types of scenarios and questions, so intelligence based on multiple rounds of dialogue Customer service, as an important di...

AI Technical Summary

Problems solved by technology

[0005] However, the traditional dialogue system needs to train and mark common nouns such as common names, place names, and time, which increases the cost of manual training, and the user input does not necessarily follow the exact input of the proper nouns set by the system, causing the system Unrecognizable, these problems need to be resolved urgently

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