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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.

    ARCHITECTURE FOR GENERATING QA PAIRS FROM CONTEXTS
    2.
    发明申请
    ARCHITECTURE FOR GENERATING QA PAIRS FROM CONTEXTS 有权

    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.

    METHOD AND SYSTEM FOR IMPROVING PERFORMANCE OF TEXT SUMMARIZATION
    3.
    发明申请
    METHOD AND SYSTEM FOR IMPROVING PERFORMANCE OF TEXT SUMMARIZATION 有权

    公开(公告)号：US20250021590A1

    公开(公告)日：2025-01-16

    申请号：US18898839

    申请日：2024-09-27

    Applicant: 42Maru Inc.

    Inventor： Dong Hwan KIM ,  Han Su KIM ,  Woo Tae JEONG ,  Seung Hyeon LEE ,  Chang Hyeon LIM

    IPC: G06F16/34 ,  G06F16/33 ,  G06F16/901 ,  G06F40/279 ,  G06F40/30 ,  G06F40/40

    Abstract: The invention relates to a method and a system for improving performance of text summarization and has an object of improving performance of a technique for generating a summary from a given paragraph. According to the invention to achieve the object, a method for improving performance of text summarization includes: calculating a first likelihood of each of a plurality of nodes included in a graph corresponding to a natural language-based context; calculating a second likelihood of each of the plurality of nodes by assigning a weight to a first likelihood of a node corresponding to a keyword not presenting in the context among a plurality of keywords corresponding to each of the plurality of nodes; calculating a third likelihood of each of all paths present in the graph based on the second likelihood of each of the plurality of nodes; and generating a summary for the context based on a path having the highest third likelihood among the paths.

    METHOD AND SYSTEM FOR IMPROVING PERFORMANCE OF TEXT SUMMARIZATION
    6.
    发明申请
    METHOD AND SYSTEM FOR IMPROVING PERFORMANCE OF TEXT SUMMARIZATION 有权

    公开(公告)号：US20220179893A1

    公开(公告)日：2022-06-09

    申请号：US17125991

    申请日：2020-12-17

    Applicant: 42Maru Inc.

    Inventor： Dong Hwan KIM ,  Han Su KIM ,  Woo Tae JEONG ,  Seung Hyeon LEE ,  Chang Hyeon LIM

    IPC: G06F16/34 ,  G06F40/279 ,  G06F40/30 ,  G06F40/40 ,  G06F16/33 ,  G06F16/901

    Abstract: The invention relates to a method and a system for improving performance of text summarization and has an object of improving performance of a technique for generating a summary from a given paragraph. According to the invention to achieve the object, a method for improving performance of text summarization includes: an a step of generating an embedding vector by vectorizing a natural language-based context; a b step of generating a graph by using the embedding vector; a c step of assigning a weight depending on whether or not a keyword corresponding to at least one node included in the graph is present in the context; and a d step of selecting a path having a highest likelihood in the graph and generating a summary based on the path.

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