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 (NLP).
At present, my research focuses on:
- Machine-Translation (MT) and its related topics, Automatic Post-Editing (APE) and Quality Estimation (QE)
- Grammatical Error Correction (GEC)
- Text Summarization
Publications
International papers
- Quality Estimation Using Dual Encoders with Transfer Learning
Dam Heo, WonKee Lee, Baikjin Jung and Jong-Hyeok Lee
Proceedings of the Conference on Machine Translation (WMT) @ EMNLP, 2021
- Exploration of Effective Attention Strategies for Neural Automatic Post-Editing with Transformer
Jaehun Shin, Wonkee Lee, Byung-Hyun Go, Baikjin Jung, Youngkil Kim, Jong-Hyeok Lee (co-first author)
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) (SCI), 2021
- Tag Assisted Neural Machine Translation of Film Subtitles
Aren Siekmeier, WonKee Lee, Hongseok Kwon, Jong-Hyeok Lee
International Conference on Spoken Language Translation (IWSLT) @ ACL, 2021 (Research paper)
- Transformer-based Screenplay Summarization Using Augmented Learning Representation with Dialogue Information
Myungji Lee, Hongseok Kwon, Jaehun Shin, WonKee Lee, Baikjin Jung, Jong-Hyeok Lee
The Workshop on Narrative Understanding, Storylines, and Events (NUSE) @ NAACL-HLT, 2021
- Adaptation of Back-translation to Automatic Post-Editing for Synthetic Data Generation
WonKee Lee, Baikjin Jung, Jaehun Shin, Jong-Hyeok Lee
Proceedings of the 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
Proceedings of the Conference on Machine Translation (WMT) @ EMNLP, 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
Proceedings of the Conference on Machine Translation (WMT) @ EMNLP, 2020
- Transformer-based Automatic Post-Editing Model with Joint Encoder and Multi-source Attention of Decoder
WonKee Lee, Jaehun Shin, Jong-Hyeok Lee
Proceedings of the Conference on Machine Translation (WMT) @ ACL, 2019 (2nd-ranked system)
Domestic papers
- Cross-Domain Slot Filling with BERT
(BERT를 활용한 크로스도메인 슬롯 채우기)
허성환, 이원기, 이종혁
KCC, 2021
- Multi-Encoder Architecture for Quality Estimation of MT
(다중 인코더 구조를 활용한 기계번역 품질 예측)
허담, 이원기, 신재훈, 권홍석, 이종혁
KCC, 2021 (우수논문상)
- Improvement in Multi-hop QA system using SpanBERT
(SpanBERT를 활용한 다중추론 질의응답 시스템 성능 향상)
강덕형, 이원기, 이종혁
KSC, 2020 (학부생논문)
- Transformer-based Automatic Post-Editing with Effective Relation Modeling between Source and its Translations
(원시문과 기계번역문 간 효과적 관계모델링을 통한 Transformer 기반 번역문 자동 사후 교정)
이원기, 신재훈, 김영길, 이종혁
KCC, 2019
- Research for the Decoder Structure of Multi-encoder Transformer-based Automatic Post-Editing Model
(다중 인코더 Transformer 기반 번역문 자동 사후 교정 모델의 디코더 구조 연구)
신재훈, 이원기, 김영길, 이종혁
KCC, 2019 (우수발표논문상)
- Sequence-to-sequence Based Abstractive Document Summarization with Self-attention Mechanism
(자가 주의 메커니즘을 활용한 sequence-to-sequence 기반 문서 생성 요약)
권홍석, 신재훈, 이원기, 이종혁
KCC, 2018
- Quality Estimation of English-Korean Machine Translation using Neural Network based Predictor-Estimator Model
(심층학습 기반의 Predictor-Estimator 모델을 이용한 영어-한국어 기계번역 품질 예측)
김현, 신재훈, 이원기, 조승우, 이종혁
KIISE(KCI), 2018
- Improving Statistical Machine Translation with Named Entity Recognition and Word-Alignment
(개체명 인식과 단어 정렬을 이용한 통계적 기계번역의 성능 향상)
이원기, 김영길, 조승우, 권홍석, 이의현, 조형미, 이종혁
KCC, 2017
- Improve Performance of Phrase-based Statistical Machine Translation through Standardizing Korean Allomorph
(한국어의 이형태 표준화를 통한 구 기반 통계적 기계 번역 성능 향상)
이원기, 김영길, 이의현, 권홍석, 조승우, 조형미, 이종혁
HCLT, 2016
- Embedded clause extraction and restoration for the performance enhancement in Korean-Vietnamese statistical machine translation
(한베 통계기계번역의 성능 향상을 위한 내포문 추출 및 복원 기법)
조승우, 김영길, 권홍석, 이의현, 이원기, 조형미, 이종혁
HCLT, 2016
Research Activites
- Reviewer: EMNLP-2021
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)
Education
Dongguk University
Computer Science and Engineering, B.S.
2016
POSTECH
Computer Science and Engineering, Ph.D.
(MS/Ph.D. Integrated Course)
2016 - Current