Multi-domain dialogue generation method and device based on meta learning, equipment and medium

Abstract

The invention discloses a multi-domain dialogue generation method, device and equipment based on meta-learning and a medium, which are applied to network marketing and comprise the following steps: acquiring a training dialogue sample and a test dialogue sample of at least one target domain; processing the training dialogue sample of each target field to obtain corresponding training loss; updating the initialized model based on the training loss to obtain an intermediate model; processing the test dialogue sample by adopting the intermediate model to obtain corresponding test loss, and updating the intermediate model based on the test loss to obtain a multi-field dialogue model; crawling published information related to the product keywords, wherein the published information comprises information to be replied; inputting the published information into a multi-domain dialogue model generated based on meta-learning, and obtaining a target dialogue corresponding to the to-be-replied information; and replying the target dialogue to a text reply area corresponding to the to-be-replied information so as to realize automatic marketing in multiple target fields and intelligently generate the target dialogue.

Description

technical field [0001] The present invention relates to the field of intelligent dialogue, in particular to a meta-learning-based multi-domain dialogue generation method, device, equipment and medium. Background technique [0002] As we all know, marketing plays a vital role in the development of enterprises. With the advent of the Internet age, online marketing has become the first choice for more and more companies. However, the existing online marketing requires employees to sell online, which has the problems of low intelligence, little real-time interaction with users, and high labor costs; some companies use question-and-answer robots to reply to users, but for companies involving multiple products and fields, Question-answering robots cannot meet the needs of cross-domain communication, and the degree of intelligence is low. Contents of the invention [0003] Embodiments of the present invention provide a meta-learning-based multi-domain dialogue generation method...

AI Technical Summary

Problems solved by technology

[0003] Embodiments of the present invention provide a meta-learning-based multi-domain dialogue generation method, device, computer equipment, and storage medium to solve the problem of low intelligence in existing online marketing

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