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    METHOD AND DEVICE FOR REINFORCEMENT OF MULTIPLE CHOICE QA MODEL BASED ON ADVERSARIAL LEARNING TECHNIQUES
    1.
    发明申请
    METHOD AND DEVICE FOR REINFORCEMENT OF MULTIPLE CHOICE QA MODEL BASED ON ADVERSARIAL LEARNING TECHNIQUES 有权

    公开(公告)号：US20220180061A1

    公开(公告)日：2022-06-09

    申请号：US17120075

    申请日：2020-12-11

    Applicant: 42Maru Inc.

    Inventor： Dong Hwan KIM ,  Han Su KIM ,  Woo Tae JEONG ,  Ki Bong SUNG ,  Hyeon Dey KIM

    IPC: G06F40/279 ,  G06N3/08

    Abstract: The present invention relates to a method for reinforcing a multiple-choice QA model based on adversarial learning techniques, wherein incorrect answers are further generated based on a data set used in the process of training the multiple-choice QA model to enrich data which are learnable by the multiple-choice QA model. To achieve this object, the method includes step A of an incorrect answer generation model encoding a text based on natural language text and a question, generating a second incorrect answer based on the text and the question, 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, a first correct answer corresponding to the text and the question, a 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 feedback by determining whether the first correct answer is identical to the second correct answer, and step D of the incorrect answer generation model and the incorrect answer test model performing self-learning based on the feedback.

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