SYSTEMS AND METHODS FOR CONTINUAL UPDATING OF RESPONSE GENERATION BY AN ARTIFICIAL INTELLIGENCE CHATBOT

Methods and systems are provided for a natural language processing system comprising a chatbot adapted for dialog generation. In one example, the system may include a combination of a variational autoencoder (VAE) and a generative adversarial network (GAN) for generating natural responses to input queries. The VAE may convert queries into vector embeddings that may then be used by the GAN to continuously update and improve responses provided by the chatbot.