Gyeongmin Kim

Gyeongmin Kim

Korea University

H-index: 6

Asia-South Korea

About Gyeongmin Kim

Gyeongmin Kim, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Korea University, specializes in the field of Natural language processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Towards Harnessing the Most of ChatGPT for Korean Grammatical Error Correction

Prompt Language Learner with Trigger Generation for Dialogue Relation Extraction

BIRP: Bitcoin Information Retrieval Prediction Model Based on Multimodal Pattern Matching

Cbits: Crypto bert incorporated trading system

KoCHET: A Korean Cultural Heritage Corpus for Entity-related Tasks

Enhancing Code Similarity with Augmented Data Filtering and Ensemble Strategies

QUAK: A Synthetic Quality Estimation Dataset for Korean-English Neural Machine Translation

Verification of a Dataset for Korean Machine Reading Comprehension with Numerical Discrete Reasoning over Paragraphs

Gyeongmin Kim Information

University

Position

___

Citations(all)

134

Citations(since 2020)

133

Cited By

18

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Gyeongmin Kim Skills & Research Interests

Natural language processing

Top articles of Gyeongmin Kim

Towards Harnessing the Most of ChatGPT for Korean Grammatical Error Correction

Applied Sciences

2024/4/10

Prompt Language Learner with Trigger Generation for Dialogue Relation Extraction

Applied Sciences

2023/11/16

BIRP: Bitcoin Information Retrieval Prediction Model Based on Multimodal Pattern Matching

arXiv preprint arXiv:2308.08558

2023/8/14

Cbits: Crypto bert incorporated trading system

IEEE Access

2023/1/11

KoCHET: A Korean Cultural Heritage Corpus for Entity-related Tasks

2022/10/12

Enhancing Code Similarity with Augmented Data Filtering and Ensemble Strategies

JOIV: International Journal on Informatics Visualization

2022/9/30

Gyeongmin Kim
Gyeongmin Kim

H-Index: 3

Minseok Kim
Minseok Kim

H-Index: 2

QUAK: A Synthetic Quality Estimation Dataset for Korean-English Neural Machine Translation

2022/9/30

Verification of a Dataset for Korean Machine Reading Comprehension with Numerical Discrete Reasoning over Paragraphs

JOIV: International Journal on Informatics Visualization

2022/8/31

Gyeongmin Kim
Gyeongmin Kim

H-Index: 3

AI Student: A Machine Reading Comprehension System for the Korean College Scholastic Ability Test

Mathematics

2022/4/29

Methodology of Trigger Generation optimized for Dialogue Relation Extraction task

Annual Conference on Human and Language Technology

2022

Measurement of Political Polarization in Korean Language Model by Quantitative Indicator

Annual Conference on Human and Language Technology

2022

Gyeongmin Kim
Gyeongmin Kim

H-Index: 3

Heuiseok Lim
Heuiseok Lim

H-Index: 17

An Analysis of Named Entity Recognition System using MLM-based Language Transfer Learning

Annual Conference on Human and Language Technology

2022

Verification of educational goal of reading area in Korean SAT through natural language processing techniques

Journal of the Korea Convergence Society

2022

Sentiment-target word pair extraction model using statistical analysis of sentence structures

Electronics

2021/12/20

Gyeongmin Kim
Gyeongmin Kim

H-Index: 3

Enhancing Korean named entity recognition with linguistic tokenization strategies

IEEE Access

2021/11/9

Visual thinking of neural networks: Interactive text to image synthesis

IEEE Access

2021/4/22

A Comparative study on the Effectiveness of Segmentation Strategies for Korean Word and Sentence Classification tasks

Journal of the Korea Convergence Society

2021

An Effective Segmentation Scheme for Korean Sentence Classification tasks

Annual Conference on Human and Language Technology

2021

Comparative study of Korean speech recognition based on SpecAugment and Kaldi

Annual Conference on Human and Language Technology

2021

Automatic extraction of named entities of cyber threats using a deep Bi-LSTM-CRF network

International journal of machine learning and cybernetics

2020/10

See List of Professors in Gyeongmin Kim University(Korea University)

Co-Authors

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