Associate Professor of Computing Science, Augustana Faculty, University of Alberta
Adjunct Professor in Department of Computing Science, North Campus, University of Alberta

I am seeking Master's and PhD students who are interested in explainable and trustworthy AI research, particularly in the areas of natural language processing and computer vision. I am also looking for excellent postdoctoral candidates with demonstrated initiative and strong research accomplishments in natural language processing, computer vision, and deep learning. Please contact me at miyoung2(at)ualberta.ca.

My research interests are in Explainable/Trustworthy AI, Natural Language Processing, Machine Learning, and Text Mining. These days, I'm studying information extraction from two specific domains (legal records and medical records.) I completed BSc and Ph.D in computer science from Pohang University of Science and Technology (POSTECH).

I have been serving as a co-organizer of the COLIEE competitions since 2014, collaborating with colleagues from the University of Alberta, Jurisage, the National Institute of Informatics, Shizuoka University, and Hokkaido University. For details, please see COLIEE 2026 Competition.

• Yeji Kim, Mi-Young Kim, Randy Goebel.
  When Quantization Preserves Accuracy but Not Evidence: Explanation-Aware Post-Training Quantization for Medical LLMs
  In The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP) (accepted)
  
  
• Randy Goebel, Yoshinobu Kano, Mi-Young Kim, Calum Kwan, Ken Satoh, Hiroaki Yamada,Masaharu Yoshioka.
  An Overview of the COLIEE 2026 Competition: Legal Case Law and Statute Law Information Retrieval and Entailment.
  In Proceedings of the 21st International Conference on Artificial Intelligence and Law 2026 (ICAIL) (in press)
  
  
• Housam Babiker, Mi-Young Kim, Randy Goebel
  Layer-Wise Suppressors for ViT Interpretation
  In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2026 (in press)
  - Best Paper Award Shortlist.
  
  
• Yeji Kim, Housam Babiker, Mi-Young Kim, Randy Goebel
  Does Role Specialization Matter for Explanation Faithfulness in Mixture-of-Experts?
  In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2026 (in press)
  
  
• Yeji Kim, Housam Babiker, Mi-Young Kim, Randy Goebel
  Feature-level Interaction Explanations in Multimodal Transformers
  In Proceedings of the International Conference on Pattern Recognition (ICPR), 2026 (in press)
  
  
• Heedou Kim, Mogan Gim, Donghee Choi, Hoonick Lee, Soonil Bae, Mi-Young Kim, Jaewoo Kang
  An LLM-based Chain-of-Response Counter-Scam System
  In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2026 (in press)
  
  
• Euijin Baek, Housam Babiker, Mi-Young Kim, Randy Goebel
  TRM-Planner: Offline Target Planning and Distillation for Tiny Recursive Models
  In Proceedings of the Findings of the Association for Computational Linguistics: Findings of ACL 2026 (pp. 27058-27070)
  
  
• Euijin Baek,H M Quamran Hasan, Yeji Kim, Housam Babiker, Mi-Young Kim and Randy Goebel
  An Empirical Study on Hybrid Large Language Model Methods for Legal Information Retrieval and Entailment Tasks
  In Proceedings of the Workshop on the Thirteenth International Competition on Legal Information Extraction and Entailment (COLIEE 2026), 2026
  
  
• H M Quamran Hasan, Housam Khalifa Bashier Babiker, Mi-Young Kim, and Randy Goebel.
  Reason2Decide-C: Adaptive Cycle-Consistent Training for Clinical Rationales
  Computers. 2026 Apr 27;15(5):279.
  
  
• Randy Goebel, Yoshinobu Kano, Calum Kwan, Mi-Young Kim, Juliano Rabelo, Ken Satoh, Hiroaki Yamada, and Masaharu Yoshioka.
  Preface of Special Issue on 12th Competition on Legal Information of Extraction and Entailment (COLIEE 2025)
  The Review of Socionetwork Strategies (2026): 1-2.
  
  
• Euijin Baek, Jiayi Dai, HM Quamran Hasan, Yeji Kim, Abhita Gupta, Housam Khalifa Bashier Babiker, Mi-Young Kim, and Randy Goebel
  Hybrid Legal Reasoning Approaches for COLIEE 2025.
  The Review of Socionetwork Strategies (2026): 1-31.
  
  
• Randy Goebel, Yoshinobu Kano, Mi-Young Kim, Calum Kwan, Juliano Rabelo, Ken Satoh, Hiroaki Yamada, and Masaharu Yoshioka
  The COLIEE 2025 Competition on Legal Information Extraction and Entailment: Overview, Discussion, and Dataset Expansion
  The Review of Socionetwork Strategies (2026): 183-213
  

• Jiayi Dai, Mi-Young Kim, Reed T. Sutton, J. Ross Mitchell, Randolph Goebel, and Daniel C. Baumgart
  Comparative analysis of natural language processing methodologies for classifying computed tomography enterography reports in Crohn’s disease patients
  NPJ Digital Medicine 8, no. 1 (2025): 324.
  [Nature Portfolio; Impact Factor: 15.1]
  
  
• Randy Goebel, Yoshinobu Kano, Mi-Young Kim, Calum Kwan, Ken Satoh, Hiroaki Yamada, and Masaharu Yoshioka.
  An Overview of the COLIEE 2025 Competition: Legal Case Law and Statute Law Information Retrieval and Entailment.
  In Proceedings of the Twentieth International Conference on Artificial Intelligence and Law (ICAIL)(pp. 506-515), 2025.
  
  

• Ken Satoh, Hideaki Takeda, Randy Goebel, Yoshinobu Kano, Mi-Young Kim, Juliano Rabelo, Masaharu Yoshioka
  Juris-Informatics: Law for AI and Law of AI
  In 2024 IEEE International Conference on Big Data (IEEE BigData) (pp. 4757-4762). IEEE.
  
  
• Randy Goebel, Yoshinobu Kano, Mi-Young Kim, Juliano Rabelo, Ken Satoh, Masaharu Yoshioka
  Overview of Benchmark Datasets and Methods for the Legal Information Extraction/Entailment Competition (COLIEE) 2024
  Lecture Notes in Computer Science, Vol.14741, pp.109-124, 2024
  
  
• Jiayi Dai, Mi-Young Kim, Reed T Sutton, Joseph R Mitchell, Randolph G Goebel, Daniel C Baumgart
  Sa2032 DEVELOPMENT OF IBDBERT - NATURAL LANGUAGE PROCESSING ANALYSIS OF CROHN'S DISEASE COMPUTED TOMOGRAPHY ENTEROGRAPHY (CTE) REPORTS
  Gastroenterology, 166(5), S-612. 2024
  
  
• Randy Goebel, Yoshinobu Kano, Mi-Young Kim, Juliano Rabelo, Ken Satoh, and Masaharu Yoshinobu
  Preface of Special Issue on 10th Competition on Legal Information of Extraction and Entailment (COLIEE 2023)
  In the Journal of the Review of Socionetwork Strategies, Vol.18, pp.25-26, 2024
  
  
• Randy Goebel, Yoshinobu Kano, Mi-Young Kim, Juliano Rabelo, Ken Satoh, and Masaharu Yoshinobu
  Overview and Discussion of the Competition on Legal Information, Extraction/Entailment (COLIEE) 2023
  In the Journal of the Review of Socionetwork Strategies, Vol.18, pp.27-47, 2024
  
  
• Mi-Young Kim, Randy Goebel, Housam Khalifa Bashier Babiker, MD Abed Rahman, and Randy Goebel
  Legal Information Retrieval and Entailment Using Transformer-based Approaches
  In the Journal of the Review of Socionetwork Strategies, Vol.18, pp. 101-121, 2024
  
  

• Randy Goebel, Yoshinobu Kano, Mi-Young Kim, Juliano Rabel, Ken Satoh, and Masaharu Yoshioka
  Summary of the Competition on Legal Information, Extraction/Entailment (COLIEE) 2023
  In the Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law (ICAIL), pp.472-480, 2023
  
  
• Housam Khalifa Bashier Babiker, Mi-Young Kim, and Randy Goebe
  From intermediate representations to explanations: Exploring hierarchical structures in nlp
  In the Proceedings of the 26th European Conference on Artificial Intelligence (ECAI 2023),pp.157-164, 2023
  
  

• Randy Goebel, Yoshinobu Kano, Mi-Young Kim, Juliano Rabelo, Ken Satoh, and Masaharu Yoshioka
  Preface of Special Issue on 8th Competition on Legal Information of Extraction and Entailment (COLIEE 2021)
  In the Journal of Review of Socionetwork Strategies, 16(1), pp.109-110, 2022
  
  
• Jiayi Dai, Mi-Young Kim, and Randy Goebel
  Interactive Rationale Extraction for Text Classification.
  In Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS 2022 Workshop. pp. 1-7
  
  
• Housam Khalifa Bashier, Mi-Young Kim, Randy Goebel
  Locally Distributed Activation Vectors for Guided Feature Attribution
  In Proceedings of the 29th International Conference on Computational Linguistics (COLING) (pp. 994-1005).
  
  
• Housam Khalifa Bashier, Mi-Young Kim, Randy Goebel
  Neural Networks with Feature Attribution and Contrastive Explanations
  in ECML PKDD, pp. 1-16
  
  
• Juliano Rabelo, Mi-Young Kim and Randy Goebel
  Semantic-based Classification of Relevant Case Law
  In the proc. of the sixteenth International Workshop on Juris-informatics (JURISIN 2022), June, 2022, pp. 26-32
  
  
• Mi-Young Kim, Juliano Rabelo, Randy Goebel, Masaharu Yoshioka, Yoshinobu Kano and Ken Satoh
  COLIEE 2022 Summary: Methods for Legal Document Retrieval and Entailment
  In the proc. of the sixteenth International Workshop on Juris-informatics (JURISIN 2022), June, 2022, pp. 3-16
  
  
• Juliano Rabelo, Randy Goebel, Mi-Young Kim, Yoshinobu Kano, Masaharu Yoshioka, and Ken Satoh
  Overview and Discussion of the Competition on Legal Information Extraction/Entailment (COLIEE) 2021
  In the Journal of Review of Socionetwork Strategies, 16(1):111-133,2022
  
  
• Mi-Young Kim, Juliano Rabelo, Kingsley Okeke, Randy Goebel
  Legal Information Retrieval and Entailment based on BM25, Transformer and Semantic Thesaurus methods
  In the Journal of Review of Socionetwork Strategies,16(1):157-174, 2022
  
  

• Mi-Young Kim, Shahin Atakishiyev, Housam Khalifa Bashier Babiker, Nawshad Farruque, Randy Goebel, Osmar R. Zaiane, Mohammad-Hossein Motallebi, Juliano Rabelo, Talat Syed, Hengshuai Yao, and Peter Chun
  A Multi-Component Framework for the Analysis and Design of Explainable Artificial Intelligence
  In the Journal of Machine Learning and Knowledge Extraction, 3(4), pp.900-921.
  
  
• Housam Khalifa Bashier, Mi-Young Kim and Randy Goebel
  DISK-CSV: Distilling Interpretable Semantic Knowledge with a Class Semantic Vector
  In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pp. 3021-3030, Apr, 2021
  
  

• Housam Khalifa Bashier, Mi-Young Kim and Randy Goebel
  RANCC: Rationalizing Neural Networks via Concept Clustering
  In COLING, 3214-3224, Dec 2020
  
  
• Juliano Rabelo, Mi-Young Kim, Randy Goebel, Masaharu Yoshioka, Yoshinobu Kano and Ken Satoh
  COLIEE 2020: Methods for Legal Document Retrieval and Entailment
  In LNCS (selected paper from JSAI International Symposium on Artificial Intelligence), vol 12758, pp. 196-210, 2021, Springer, Cham
  
  
• Juliano Rabelo, Mi-Young Kim and Randy Goebel
  Application of Text Entailment Techniques in COLIEE 2020
  In LNCS (selected paper from JSAI International Symposium on Artificial Intelligence), vol 12758, pp. 240-253, 2021, Springer, Cham
  
  
  
• Juliano Rabelo, Mi-Young Kim, Randy Goebel, Masaharu Yoshioka, Yoshinobu Kano, Ken Satoh
  A Summary of the COLIEE 2019 Competition
  In LNCS (selected paper from JSAI International Symposium on Artificial Intelligence). 12331:34-49, 2020
  
  

• Randy Goebel, Mi-Young Kim, Egon Jonsson and Ulli Wolfaardt
  PD67 Strengthening and Accelerating Health Technology Assessments Through Artificial Intelligence
  In International Journal of Technology Assessment in Health Care. 34: 154-155, 2019
  
  
• Yoshinobu Kano, Mi-Young Kim, Masaharu Yoshioka, Yao Lu, Juliano Rabelo, Naoki Kiyota, Randy Goebel, Ken Satoh
  COLIEE-2018: Evaluation of the Competition on Legal Information Extraction and Entailment
  In LNCS (selected paper from JSAI International Symposium on Artificial Intelligence)). 11717:177-192, 2019
  
  
• Mi-Young Kim, Juliano Rabelo, Randy Goebel
  Statute Law Information Retrieval and Entailment
  In International Conference on Artificial Intelligence and Law (ICAIL), pp. 283-289, 2019
  
  

• Mi-Young Kim, Yao Lu, and Randy Goebel
  Textual Entailment in Legal Bar Exam Question Answering Using Deep Siamese Networks
  In LNCS (selected paper from JSAI-isAI 2017). (10838): 35-48, 2018
  
  
• Yoshinobu Kano, Mi-Young Kim, Masaharu Yoshioka, Yao Lu, Juliano Rabelo, Naoki Kiyota, Randy Goebel, Ken Satoh
  COLIEE-2018: Evaluation of the Competition on Case Legal Information Extraction and Entailment
  In LNCS (selected paper from JSAI-isAI 2018), 11717:177-192, 2019
  
• Juliano Rabelo, Mi-Young Kim, Housam Babiker, and Randy Goebel
  Legal Information Extraction and Entailment for Statute Law and Case Law
  In International Workshop on Juris-informatics (JURISIN 2018) associated with JSAI International Symposia on AI (JSAI-isAI), 2018
  
  

• Mi-Young Kim, Ying Xu, and Randy Goebel
  Applying a Convolutional Neural Network to Legal Question Answeiring
  In Lecture Notes in Artificial Intelligence Vol.10091:282-294, July, 2017
  
  
• Mi-Young Kim, Ying Xu, Yao Lu, and Randy Goebel
  Question Answering of Bar Exams by Paraphrasing and Legal Text Analysis
  In Lecture Notes in Artificial Intelligence Vol.10247:299-313, 2017
  
  
• Mi-Young Kim, and Randy Goebel
  Two-step Cascaded Textual Entailment for Legal Bar Exam Question Answering
  In International Conference on Artificial Intelligence and Law (ICAIL 2017), June, 2017
  
  
• Hamman W. Samuel, Mi-Young Kim, Sankalp Prabhakar, Mohomed Shazan Mohomed Jabbar, Osmar Zaiane
  Community Question Retrieval in Health Forums
  In IEEE International Conference on Biomedical and Health Informatics, February, 2017
  
• Mi-Young Kim, and Randy Goebel
  Exploiting a Siamese Network to Improve Textual Entailment in Answering Legal Bar Exam Questions
  In International Workshop on Juris-informatics (JURISIN) associated with JSAI International Symposia on AI (JSAI-isAI), 2017
  
  

• Mi-Young Kim, Randy Goebel, Yoshinobu Kano, and Ken Satoh
  COLIEE-2016: Evaluation of the Competition on Legal Information Extraction and Entailment
  In Tenth International Workshop on Juris-informatics(JURISIN 2016), November, 2016
  
  

• Mi-Young Kim, Ying Xu, Osmar R. Zaiane, Randy Goebel
  Recognition of Patient-Related Named Entities in Noisy Tele-Health Texts
  ACM Transactions on Intelligent Systems and Technology (ACM TIST), pp.1-23, 2015
  
  
• Mi-Young Kim, Randy Goebel, and Ken Satoh
  COLIEE-2015: Evaluation of Legal Question Answering
  In Ninth International Workshop on Juris-informatics (JURISIN 2015), November, 2015
  
  
• Mi-Young Kim, Ying Xu, and Randy Goebel
  A Convolutional Neural Network in Legal Question Answering
  In Ninth International Workshop on Juris-informatics(JURISIN 2015), November, 2015
  
  
• Hamman W. Samuel, Mi-Young Kim, Sankalp Prabhakar, Mohomed Shazan Mohomed Jabbar
  Golden Retriever: Question Retrieval System
  IEEE International Conference on Healthcare Informatics, Oct. 2015
  
  
• Ying Xu, Christoph Ringlstetter, Mi-Young Kim, Grzegorz Kondrak, Randy Goebel, Yusuke Miyao
  A Lexicalized Tree Kernel for Information Extraction
  In ACL, pp.279-284, July, 2015
  
  

• Mi-Young Kim, Ying Xu, Randy Goebel, and Ken Satoh
  Answering Yes/No Questions in Legal Bar Exams
  In LNCS, pp. 199-213, 2014
  
  
• Mi-Young Kim, and Randy Goebel
  Information Extraction in Legal Texts
  In the Japan-Korea Joint Workshop, 2014
  
  
• Mi-Young Kim, Ying Xu, and Randy Goebel
  Alberta-KXG: Legal Question Answering using Ranking SVM and Syntactic/Semantic Similarity
  In the International Workshop on Juris-informatics (JURISIN), 2014
  

• Ying Xu, Mi-Young Kim, Kevin Quinn, Randy Goebel and Denilson Barbosa
  Open Information Extraction with Tree Kernels.
  In proceedings of NAACL, pp. 868-877, 2013.
  

• Mi-Young Kim, Ying Xu, and Randy Goebel
  Summarization of Legal Texts with High Cohesion and Automatic Compression Rate.
  In LNAI 7856, 2013.

• Mi-Young Kim, Ying Xu, Osmar Zaiane and Randy Goebel
  Patient Information Extraction in Noisy Tele-health Texts
  In IEEE International Conference on Bioinformatics and Biomedicine, pp 326-329, 2013.

• Mi-Young Kim and Randy Goebel
  Adaptive-capacity and Robust Natural Language Watermarking for Agglutinative Languages
  In Journal of Security and Communiation Networks, 5:301-310, 2012.
  

• Mi-Young Kim and Randy Goebel
  Detection and Normalization of Medical Terms Using Domain-specific Term Frequency and Adaptive Ranking.
  In proceedings of IEEE International Conference on Information Technology and Applications in Biomedicine (ITAB), pp.1-5, 2010.
  

• Mi-Young Kim, Qing Dou, Osmar R. Zaiane, and Randy Goebel
  Unsupervised Mapping of Sentences to Biomedical Concepts based on Integrated Information Retrieval Model and Clustering.
  In proceedings of ACM International Conference on Bioinformatics and Computational Biology (ACM-BCB), pp. 322-329, 2010.
  

• Mi-Young Kim, Osmar R. Zaiane, and Randy Goebel
  Natural Language Watermarking Based on Syntactic Displacement and Morphological Division.
  In proceedings of IEEE International Workshop on Security, Trust, and Privacy for Software Applications in Computer Software and Applications Conference (COMPSAC), pp.164-169, 2010.
  

• Sittichai Jiampojamarn, Kenneth Dwyer, Shane Bergsma, Aditya Bhargava, Quing Dou, Mi-Young Kim, and Grzegorz Kondrak
  Transliteration Generation and Mining with Limited Training Resources.
  In Named Entities Workshop in ACL, pp.39-47, 2010.

• Mi-Young Kim
  Text Watermarking by Dividing a Predicate Nominal into a Nominal and a Predicate.
  In proceedings of IEEE Asia-Pacific Services Computing Conference, 2008.
  

• Mi-Young Kim
  Detection of Protein Subcellular Localization based on Syntactic Relations.
  In Journal of Korea Information Processing Society,Vol.15(4),pp.375-382, 2008
  

• Mi-Young Kim
  Mining of Protein Subcellular Localizations based on a Syntactic Dependency Tree and WordNet.
  In proc. of Joint Conference on Knowledge-based Software Engineering, 2008.
  

• Mi-Young Kim
  Natural Language Watermarking for Korean Using Adverbial Displacement.
  In proc. of International Conference on Multimedia and Ubiquitous Engineering, pp. 576-581, 2008.
  

• Mi-Young Kim
  Detection of Gene Interactions based on Syntactic Relations.
  In Journal of Biomedicine and Biotechnology, pp.1-9, 2008.
  

• Mi-Young Kim
  Detection of Protein Subcellular Localization based on Syntactic Dependency Paths.
  In proc. of International Conference on Convergence Information Technology, pp. 1065-1070, 2007.
  

• Mi-Young Kim
  Syntactic Analysis for Detection of Gene Interactions.
  In Journal of Korea Information Processing Society, Vol.14-B(5), 2007.
  

• Mi-Young Kim
  Three-phase Detection of Gene Interactions based on Syntactic Paths.
  In proc. of Frontiers in the Convergence of Bioscience and Information Technologies, 2007.
  

• Mi-Young Kim
  Determining the Dependency among Clauses based on SVM.
  In Journal of Korea Information Processing Society, Vol.24-B(2), 2007.
  

• Mi-Young Kim
  Determining the Dependency among Clauses based on Machine Learning Techniques.
  In ICANNGA, 2007.
  

• Mi-Young Kim
  A Hybrid Method to Determine Inter-clause Dependency.
  In Journal of Computer Processing of Oriental Languages (IJCPOL), Vol.19(2-3), 2006.
  

• Mi-Young Kim
  Classification of Relative Clauses Using Easily Obtainable Features.
  In Journal of Computer Processing of Oriental Languages (IJCPOL), Vol.19(2-3), 2006.
  

• Meixun Jin, Mi-Young Kim, and Jong-Hyeok Lee
  Segmentation of Long Chinese Sentences using Comma Classification.
  In Journal of Korea Information Science Society, Vol.33(5), 2006.
  

• Meixun Jin, Mi-Young Kim, and Jong-Hyeok Lee
  Two-phase Shift-Reduce Deterministic Dependency Parser of Chinese.
  In proc. of International Joint Conference on Natural Language Processing (IJCNLP), pp.256-261, 2005
  

• Myung-Chul Shin, Yong-Hun Lee, Mi-Young K im, You-Jin Chung, Jong-Hyeok Lee
  Semantic Role Assignment for Korean Adverbial Case Using Sejong Electronic Dictionary
  

• Yong-hun Lee, Mi-Young Kim, and Jong-Hyeok Lee
  Chunking Using Conditional Random Fields in Korean Texts.
  In IJCNLP 2005.
  

• Mi-Young Kim, and Jong-Hyeok Lee
  Syntactic Analysis based on S-clause segmentation.
  In Journal of Korea Information Science Society, Vol.32(9), 2005.
  

• Mi-Young Kim, and Jong-Hyeok Lee
  Two-phase S-clause Segmentation.
  In Journal of IEICE Transactions on Information and Systems, Vol.E88-D(7), 2005.
  

• Mi-Young Kim, and Jong-Hyeok Lee
  Machine Learning-based S-clause Segmentation.
  In Journal of Computer Processing of Oriental Languages (IJCPOL), Vol.17(4), 2004.
  

• Mi-Young Kim, and Jong-Hyeok Lee
  Syntactic Analysis of Long Sentences based on S-clauses.
  In proc. of International Joint Conference on Natural Language Processing (IJCNLP), 2004.
  

• Meixun Jin, Mi-Young Kim, and Jong-Hyeok Lee
  Segmentation of Chinese Long Sentences Using Commas.
  In SIGHAN workshop in ACL 2004.
  

• Mi-Young Kim, and Jong-Hyeok Lee
  S-clause Segmentation for Efficient Syntactic Analysis Using Decision Trees.
  In Australasian Language Technology Workshop (ALTW), 2003.
  

• Mi-Young Kim, and Jong-Hyeok Lee
  S-clause Segmentation for Efficient Syntactic Analysis of Long Sentences.
  In proc. of International Conference on Computer Processing of Oriental Languages (ICCPOL), 2003.
  

• Meixun Jin, Mi-Young Kim, Dongil Kim, Jong-Hyeok Lee
  Identification of Chinese Coordinate Structure in case of no Conjuncts
  In Proc. of the Korean Information Science Society Conference, pp. 492-494, 2003
  

• Cui Zheng, Mi-Young Kim, Dongil Kim, and Jong-Hyeok Lee
  Resolving Structural Ambiguity of Chinese V+NP1+de+NP2 Syntactic Pattern.
  In proc. of Korean Information Science Society Conference
  

• Mi-Young Kim, Sin-Jae Kang, and Jong-Hyeok Lee
  Resolving Ambiguity in Inter-chunk Dependency Parsing.
  In proc. of Natural Language Processing Pacific Rim Symposium (NLPRS), 2001.
  

Mi-Young Kim, Sin-Jae Kang, Jong-Hyeok Lee
Text chunking by rule and lexical information
In. Proc. of the Annual Conference on Human and Cognitive Language Technology

• Oh-Woog Kwon, Yu-Jin Chung, Mi-Young Kim, Dong-Won Ryu, Moon-Ki Lee, Jong-Hyeok Lee
  Korean morphological analyzer and part-of-speech tagger based on CYK algorithm using syllable information
  In. Proc. of the Annual Conference on Human and Cognitive Language Technology, pp. 76-86, 1999