公开(公告)号：US20220147718A1

公开(公告)日：2022-05-12

申请号：US17096767

申请日：2020-11-12

Applicant: 42Maru Inc.

Inventor： Dong Hwan KIM ,  Han Su KIM ,  You Kyung KWON ,  Hyun Ok KIM ,  Sean Le LEE

IPC: G06F40/35 ,  G06N5/04 ,  G06N3/08 ,  G06N3/04

Abstract: The present invention relates to a context-based QA generation architecture, and an object of the present invention is to generate diverse QA pairs from a single context. To achieve the object, the present invention includes a latent variable generating network including at least one encoder and an artificial neural network (Multi-Layer Perceptron: MLP) and configured to train the artificial neural network using a first context, a first question, and a first answer, and generate a second question latent variable and a second answer latent variable by applying the trained artificial neural network to a second context, an answer generating network configured to generate a second answer by decoding the second answer latent variable, and a question generating network configured to generate a second question based on a second context and the second answer.