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

Claim 9:
10. A system for reinforcing a multiple-choice QA model based on adversarial learning techniques, comprising:
a first processor;
a second processor; and
a non-transitory memory configured to store instructions executed by at least one of the first processor and the second processor,
wherein the first processor executes the instructions to:
generate a first text vector and a first question vector by encoding a text based on natural language text and a question, a first correct answer and a 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, generate 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, receive a second feedback corresponding to the second incorrect answer received from the incorrect answer test model, and adjust a weight; and
wherein the second processor executes the instructions to:
encode the text, the question, the first correct answer, the first incorrect answer corresponding to the text and the question, and the second incorrect answer, select a second correct answer based on results of the encoding, generate a first feedback to train the second processor and a the second feedback to train the first processor by determining whether the first correct answer is identical to the second correct answer to prevent the first processor from overfitting, and adjust a weight based on the first feedback;
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.