Dialogue response and response strategy matching model training method and device

Abstract

The invention provides a dialogue response and response strategy matching model training method and device. The method comprises the steps of carrying out vectorization processing on the dialogue information sent by a consulting party in a dialogue; analyzing a dialogue information vector to determine a state information vector containing a multi-dimensional feature; inputting the state information vector and a historical dialogue information vector of the historical dialogue information corresponding to the dialogue information in the round of dialogue into a response strategy matching model; determining a plurality of response strategies corresponding to the feature vectors extracted by the response strategy matching model and the confidence degrees corresponding to the response strategies; and taking the response strategy with the highest confidence in the multiple response strategies as the response information corresponding to the dialogue information. Through the technical scheme of the invention, the problem of low efficiency caused by identification based on a fixed process template can be solved, and the accuracy of the matched response information is ensured.

Description

technical field [0001] The present application relates to the field of network technology, in particular to a dialogue response and response strategy matching model training method and device. Background technique [0002] Dialogue systems (also known as conversational agents) include agents with human-machine interfaces for accessing, processing, managing, and transmitting information, and realize conversations with humans by simulating human computer systems. With the development of electronic technology, dialogue systems have gradually penetrated into all aspects of social life, providing convenience for people's work and life. [0003] In related technologies, the received question information sent by the consulting party is matched with the response information corresponding to the question information through the speech flow and speech template that are manually configured in advance. However, the speech flow or template that is manually configured in advance often has...

AI Technical Summary

Problems solved by technology

[0003] In related technologies, the received question information sent by the consulting party is matched with the response information corresponding to the question information through the speech flow and speech template that are manually configured in advance. However, the speech flow or template that is manually configured in advance often has fixed content. , leading to the matching response content is relatively rigid, and even lacks language understanding, so the accuracy of the response information cannot be guaranteed; and in the absence of template configuration, it will not be possible to reply to the query from the consulting party, resulting in low response efficiency and other issues

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