About Me
Hi. I am a Ph.D. student in Knowledge and Language Engineering Lab under the supervision of Jong-Hyeok Lee at POSTECH. My research interests lie in the area of natural language processing. At present, my research focuses on machine-translation (MT) and its related topics such as automatic post-editing (APE) and quality estimation (QE).
Education
Dongguk University
Computer Science and Engineering, B.S.
2016
POSTECH
Computer Science and Engineering, Ph.D.
(MS/Ph.D. Integrated Course)
2016 - Current
Publications
International papers
- Adaptation of Back-translation to Automatic Post-Editing for Synthetic Data Generation
WonKee Lee, Baikjin Jung, Jaehun Shin, Jong-Hyeok Lee
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
- Gated dynamic convolutions with deep layer fusion for abstractive document summarization
Hongseok Kwon, Byung-Hyun Go, Juhong Park, WonKee Lee, Yewon Jeong, Jong-Hyeok Lee
Computer Speech & Language (SCI), 2020
- Noising Scheme for Data Augmentation in Automatic Post-Editing
WonKee Lee, Jaehun Shin, Baikjin Jung, Jihyung Lee, Jong-Hyeok Lee
Conference on Machine Translation (WMT), 2020
- POSTECH-ETRI’s Submission to the WMT2020 APE Shared Task: Automatic Post-Editing with Cross-lingual Language Model
Jihyung Lee, WonKee Lee, Jaehun Shin, Baikjin Jung, Young-Kil Kim, Jong-Hyeok Lee
Conference on Machine Translation (WMT), 2020
- Transformer-based Automatic Post-Editing Model with Joint Encoder and Multi-source Attention of Decoder
WonKee Lee, Jaehun Shin, Jong-Hyeok Lee
(2nd-ranked system)
Conference on Machine Translation (WMT), 2019
domestic papers
- SpanBERT를 활용한 다중추론 질의응답 시스템 성능 향상
강덕형, 이원기, 이종혁
KSC 2020 (학부생논문)
- 원시문과 기계번역문 간 효과적 관계모델링을 통한 Transformer 기반 번역문 자동 사후 교정
이원기, 신재훈, 김영길, 이종혁
KCC 2019
- 다중 인코더 Transformer 기반 번역문 자동 사후 교정 모델의 디코더 구조 연구
신재훈, 이원기, 김영길, 이종혁
KCC 2019
- 자가 주의 메커니즘을 활용한 sequence-to-sequence 기반 문서 생성 요약
권홍석, 신재훈, 이원기, 이종혁
KCC 2018
- 심층학습 기반의 Predictor-Estimator 모델을 이용한 영어-한국어 기계번역 품질 예측
김현, 신재훈, 이원기, 조승우, 이종혁
KIISE(KCI) 2018
- 개체명 인식과 단어 정렬을 이용한 통계적 기계번역의 성능 향상
이원기, 김영길, 조승우, 권홍석, 이의현, 조형미, 이종혁
KCC 2017
- 한국어의 이형태 표준화를 통한 구 기반 통계적 기계 번역 성능 향상
이원기, 김영길, 이의현, 권홍석, 조승우, 조형미, 이종혁
HCLT 2016
- 한베 통계기계번역의 성능 향상을 위한 내표문 추출 및 복원 기법
조승우, 김영길, 권홍석, 이의현, 이원기, 조형미, 이종혁
HCLT 2016
Teaching Experiences
- POSCO-sponsored Youth AI·BIGDATA Academy program: NLP course, TA (2019 - current)
- Daegu·Gyeongbuk Hustar Academy program: NLP course, TA (2019 - current)
- Hyundai Steel AI Education program: NLP course, TA (2021)
- POSCO AI Education program: NLP course, TA (2018 - 2020)
- SK Hynix Machine Learning Champion program: NLP course, TA (2018 - 2019)
- Programming & Problem solving (CSED101) at POSTECH, TA (2017-Spring, 2018-Spring)
- Object-Oriented Language and Practice (CSE2019) at Dongguk Univ., TA (2015-Fall)
- Data Structure (CSE2017) at Dongguk Univ., TA (2014-Spring)