公开(公告)号：US20240161019A1

公开(公告)日：2024-05-16

申请号：US18507705

申请日：2023-11-13

Applicant: KOREA UNIVERSITY RESEARCH AND BUSINESS FOUNDATION

Inventor： Heuiseok LIM ,  Gyeongmin KIM

IPC: G06N20/20 ,  G06F16/215 ,  G06F16/901

CPC classification number: G06N20/20 ,  G06F16/215 ,  G06F16/9014

Abstract: Disclosed herein is a method of generating a similarity determination model of programming codes based on a cross-validation ensemble and filtering strategy. The method of generating the similarity determination model is performed by a computing device including at least a processor, the method includes: performing preprocessing on raw data written in any one language; performing filtering on the preprocessed data; generating positive pairs and negative pairs for training; and training a pre-trained language model using the generated positive pairs and negative pairs.

公开(公告)号：US20240289652A1

公开(公告)日：2024-08-29

申请号：US18585166

申请日：2024-02-23

Applicant: KOREA UNIVERSITY RESEARCH AND BUSINESS FOUNDATION

Inventor： Heuiseok LIM ,  Sugyeong EO ,  Hyeonseok MOON ,  Jinsung KIM ,  Yoona HUR ,  Jeongwook KIM

IPC: G06N5/04

CPC classification number: G06N5/04

Abstract: Disclosed is a device and method for educational question-answer pair generation (QAG) considering type diversity. The method for question-answer pair generation is performed by a computing device and includes generating a query-focused summarization (QFS) for a passage; generating an initial answer based on the passage and the QFS; generating a question corresponding to the initial answer based on the initial answer, the passage, and an interrogative word; generating an answer corresponding to the question based on the question and the passage and generating a question-answer (QA) pair; and deriving a final QA pair by selecting at least one QA pair from among the QA pairs.

公开(公告)号：US20240249120A1

公开(公告)日：2024-07-25

申请号：US18405051

申请日：2024-01-05

Applicant: KOREA UNIVERSITY RESEARCH AND BUSINESS FOUNDATION

Inventor： Jinsung KIM ,  Heuiseok LIM

IPC: G06N3/0464

CPC classification number: G06N3/0464

Abstract: Disclosed is a device and method for dialogue relation extraction using utterance-level graph computation. The dialogue relation extraction method refers to a dialogue relation extraction method performed by a computing device including at least a processor and includes receiving a target conversation that includes a plurality of utterances and an argument pair that is a target of relation extraction; generating a graph (G=(A, X)) that includes an adjacency matrix (A) and a node feature matrix (X) based on the target conversation and the argument pair; and deriving a relation between subject and object included in the argument pair by inputting the graph to a graph convolutional network (GCN) trained to infer the relation of the argument pair.

公开(公告)号：US20220366894A1

公开(公告)日：2022-11-17

申请号：US17739383

申请日：2022-05-09

Applicant: Korea University Research and Business Foundation

Inventor： Heuiseok LIM ,  Chanjun PARK

IPC: G10L15/06 ,  G10L13/00 ,  G06F40/166

Abstract: Disclosed is a training data construction method and a speech recognition method using the same. The training data construction method is performed by a computing apparatus including at least one processor and includes converting first text data including a plurality of sentences to first speech data; acquiring second speech data by adding noise to the first speech data; and converting the second speech data to second text data. The second text data includes a sentence corresponding to each of the plurality of sentences included in the first text data.