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Patent Searching and Data


Title:
METHOD FOR AUTOMATICALLY GENERATING VOCABULARY PROBLEMS BY USING DEEP LEARNING-BASED WORD MEANING CLARIFICATION MODEL, COMPUTER PROGRAM THEREOF, AND SERVER DEVICE THEREOF
Document Type and Number:
WIPO Patent Application WO/2022/060061
Kind Code:
A1
Abstract:
The present invention relates to a method for automatically generating vocabulary problems by using a deep learning-based word meaning clarification model, a computer program thereof, and a server device thereof. According to the present invention, a deep learning-based word meaning clarification model is used to generate potential answers of high difficulty in vocabulary problems so as to provide an examinee or student who has been given the problems with the opportunity to deeply investigate and understand the meanings of the corresponding words. In addition, vocabulary problems are automatically generated using the deep learning-based word meaning clarification model merely by inputting target words, and thus the student can repeatedly receive problems about desired words, and a company that generates problems can also reduce the cost and time required to generate the problems.

Inventors:
LEE HYUNG JONG (KR)
KIM CHAN WOO (KR)
Application Number:
PCT/KR2021/012530
Publication Date:
March 24, 2022
Filing Date:
September 14, 2021
Export Citation:
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Assignee:
LXPER INC (KR)
International Classes:
G06Q50/20; G06F16/33; G06F40/247; G06F40/284; G06F40/30; G06N3/08
Foreign References:
KR101926669B12018-12-07
KR20200011155A2020-02-03
KR101847345B12018-04-10
KR101460449B12014-11-20
KR100786352B12007-12-14
Attorney, Agent or Firm:
BLT PATENT & LAW FIRM (KR)
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