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    METHOD AND SYSTEM FOR IMPROVING PERFORMANCE OF TEXT SUMMARIZATION
    1.
    发明公开
    METHOD AND SYSTEM FOR IMPROVING PERFORMANCE OF TEXT SUMMARIZATION 审中-公开

    公开(公告)号：US20230325423A1

    公开(公告)日：2023-10-12

    申请号：US18209703

    申请日：2023-06-14

    Applicant: 42 Maru 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 ,  G06F40/40 ,  G06F40/30

    CPC classification number: G06F16/345 ,  G06F16/3347 ,  G06F16/9024 ,  G06F40/279 ,  G06F40/40 ,  G06F40/30

    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 using the embedding vector and calculating a first likelihood of each of at least one node included in the graph; a c step of generating a second likelihood by assigning a weight to the first likelihood according to a result of comparing at least one node included in the graph with the context; and a d step of calculating a third likelihood for all candidate paths present in the graph based on the second likelihood, selecting a path having a highest third likelihood, and generating a summary based on the path.

    ARCHITECTURE FOR GENERATING QA PAIRS FROM CONTEXTS
    3.
    发明申请
    ARCHITECTURE FOR GENERATING QA PAIRS FROM CONTEXTS 有权

    公开(公告)号：US20250068855A1

    公开(公告)日：2025-02-27

    申请号：US18942853

    申请日：2024-11-11

    Applicant: 42 Maru Inc. ,  Korea Advanced Institute of Science and Technology

    Inventor： Dong Hwan Kim ,  Sung Ju Hwang ,  Seanie Lee ,  Dong Bok Lee ,  Woo Tae Jeong ,  Han Su Kim ,  You Kyung Kwon ,  Hyun Ok Kim

    IPC: G06F40/35 ,  G06N3/045 ,  G06N3/08 ,  G06N5/04

    Abstract: The present invention relates to a context-based QA generation architecture for generating diverse QA pairs from a single context. The context-based QA generation architecture includes a latent variable generating network, an answer generating network and a question generating network. The latent variable generating network comprises multiple Bi-LSTM encoders encode the a first context, the a first question and the a first answer to generate a first context vector, a first question vector and a first answer vector, respectively, a first Multi-Layer Perceptron (MLP) generate a first question latent variable based on the first context vector and the first question vector, and a second MLP generate a first answer latent variable based on the first question latent variable and the first answer vector. The answer generating network and the question generating network are trained based on the first context, the first question latent variable and the first answer latent variable.

    Device and method for machine reading comprehension question and answer
    4.
    发明授权
    Device and method for machine reading comprehension question and answer 有权

    公开(公告)号：US12141532B2

    公开(公告)日：2024-11-12

    申请号：US18481453

    申请日：2023-10-05

    Applicant: 42 Maru Inc.

    Inventor： Dong Hwan Kim ,  Hyun Ok Kim ,  Woo Tae Jeong

    IPC: G06F40/30 ,  G06F40/268 ,  G06F40/284 ,  G06F40/295 ,  G06N5/04 ,  G06N20/00 ,  G10L15/18 ,  G10L15/22

    Abstract: Aspects of the subject disclosure may include, systems and methods, for example, including receiving a user question data in a speech format or a text format, analyzing the user question data, selecting a plurality of documents from a plurality of domains corresponding to the user question data, searching for a plurality of passages including candidates for an answer value determined as being suitable for the user question data, in the plurality of documents, obtaining candidates by inputting the user question data and the plurality of passages into a plurality of MRC question and answer units, determining the answer value based on whether a reliability value of each of the candidates exceeds a threshold value, and providing the determined answer value to a user. Other embodiments are disclosed.

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