Patent ID: 11960838
Assignee: 42MARU INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method for reinforcing a multiple-choice QA model based on adversarial learning techniques, comprising:
step A of an incorrect answer generation model generating a first text vector and a first question vector by encoding a text based on natural language text and a question, the first correct answer and the first incorrect answer defined by a known answer, the first correct answer and the first incorrect answer are an actual correct answer and an actual incorrect answer to the question, respectively, generating a second incorrect answer suitable for a context of the text and the question based on the first text vector and the first question vector, and transmitting the second incorrect answer to an incorrect answer test model;
step B of the incorrect answer test model encoding the text, the question, the first correct answer corresponding to the text and the question, the first incorrect answer and the second incorrect answer, and selecting a second correct answer based on results of the encoding;
step C of the incorrect answer test model generating a first feedback to train the incorrect answer test model and a second feedback to train the incorrect answer generation model by determining whether the first correct answer is identical to the second correct answer to prevent the incorrect answer generation model from overfitting, wherein the incorrect answer test model comprises a feedback generator and a second learning unit, the first feedback is transmitted from the feedback generator to the second learning unit; and
step D of the incorrect answer generation model and the incorrect answer test model performing self-learning based on the second feedback and the first feedback, respectively.