A Robust Named-Entity Recognition System Using Syllable Bigram Embedding with Eojeol Prefix Information. - Sunjae Kwon; Youngjoong Ko; Jungyun Seo (CIKM, 2017)

A Method to Generate a Machine-Labeled Data for Biomedical Named Entity Recognition with Various Sub-Domains. - Juae Kim; Sunjae Kwon; Youngjoong Ko; Jungyun Seo (DDDSM@IJCNLP, 2017)

Word Sense Disambiguation Based on Word Similarity Calculation Using Word Vector Representation from a Knowledge-based Graph. - Dongsuk O; Sunjae Kwon; Kyungsun Kim; Youngjoong Ko (COLING, 2018)

Why Do Masked Neural Language Models Still Need Common Sense Knowledge? - Sunjae Kwon; Cheongwoong Kang; Jiyeon Han; Jaesik Choi (CoRR, 2019)

Effective vector representation for the Korean named-entity recognition. - Sunjae Kwon; Youngjoong Ko; Jungyun Seo (Pattern Recognit. Lett., 2019)

eCPDP: Early Cross-Project Defect Prediction. - Sunjae Kwon; Duksan Ryu; Jongmoon Baik (QRS, 2021)

Word sense disambiguation based on context selection using knowledge-based word similarity. - Sunjae Kwon; Dongsuk Oh; Youngjoong Ko (Inf. Process. Manag., 2021)

MedJEx: A Medical Jargon Extraction Model with Wiki's Hyperlink Span and Contextualized Masked Language Model Score. - Sunjae Kwon; Zonghai Yao; Harmon S. Jordan; David A. Levy; Brian Corner; Hong Yu 001 (EMNLP, 2022)

CodeBERT Based Software Defect Prediction for Edge-Cloud Systems. - Sunjae Kwon; Jong-In Jang; Sungu Lee; Duksan Ryu; Jongmoon Baik (ICWE Workshops, 2022)

Why Do Neural Language Models Still Need Commonsense Knowledge to Handle Semantic Variations in Question Answering? - Sunjae Kwon; Cheongwoong Kang; Jiyeon Han; Jaesik Choi (CoRR, 2022)

An Automatic SOAP Classification System Using Weakly Supervision And Transfer Learning. - Sunjae Kwon; Zhichao Yang 001; Hong Yu 001 (CoRR, 2022)

Multi-Label Few-Shot ICD Coding as Autoregressive Generation with Prompt. - Zhichao Yang 001; Sunjae Kwon; Zonghai Yao; Hong Yu 001 (AAAI, 2023)

Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss Information. - Sunjae Kwon; Rishabh Garodia; Minhwa Lee; Zhichao Yang 001; Hong Yu 001 (ACL (1), 2023)

CR-COPEC: Causal Rationale of Corporate Performance Changes to learn from Financial Reports. - Ye Eun Chun; Sunjae Kwon; Kyunghwan Sohn; Nakwon Sung; Junyoup Lee; Byoung Seo; Kevin Compher; Seung-won Hwang; Jaesik Choi (EMNLP (Findings), 2023)

Exploring the Feasibility of ChatGPT for Improving the Quality of Ansible Scripts in Edge-Cloud Infrastructures Through Code Recommendation. - Sunjae Kwon; Sungu Lee; Taehyoun Kim; Duksan Ryu; Jongmoon Baik (ICWE Workshops, 2023)

ODD: A Benchmark Dataset for the NLP-based Opioid Related Aberrant Behavior Detection. - Sunjae Kwon; Xun Wang; Weisong Liu; Emily Druhl; Minhee L. Sung; Joel I. Reisman; Wenjun Li; Robert D. Kerns; William Becker; Hong Yu 001 (CoRR, 2023)

CR-COPEC: Causal Rationale of Corporate Performance Changes to Learn from Financial Reports. - Ye Eun Chun; Sunjae Kwon; Kyunghwan Sohn; Nakwon Sung; Junyoup Lee; Byungki Seo; Kevin Compher; Seung-won Hwang; Jaesik Choi (CoRR, 2023)

Exploring LLM-based Automated Repairing of Ansible Script in Edge-Cloud Infrastructures. - Sunjae Kwon; Sungu Lee; Taehyoun Kim; Duksan Ryu; Jongmoon Baik (J. Web Eng., 2023)

Pre-trained Model-based Software Defect Prediction for Edge-cloud Systems. - Sunjae Kwon; Sungu Lee; Duksan Ryu; Jongmoon Baik (J. Web Eng., 2023)

An effective approach to improve the performance of eCPDP (early cross-project defect prediction) via data-transformation and parameter optimization. - Sunjae Kwon; Duksan Ryu; Jongmoon Baik (Softw. Qual. J., 2023)

UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt - A Systematic Exploration of Prompt Engineering with GPT-4V for Dermatological Diagnosis. - Parth Vashisht; Abhilasha Lodha; Mukta Maddipatla; Zonghai Yao; Avijit Mitra; Zhichao Yang 001; Sunjae Kwon; Junda Wang; Hong Yu 001 (ClinicalNLP@NAACL, 2024)

ClinicalMamba: A Generative Clinical Language Model on Longitudinal Clinical Notes. - Zhichao Yang 001; Avijit Mitra; Sunjae Kwon; Hong Yu 001 (ClinicalNLP@NAACL, 2024)

README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP. - Zonghai Yao; Nandyala Siddharth Kantu; Guanghao Wei; Hieu Tran; Zhangqi Duan; Sunjae Kwon; Zhichao Yang 001; README annotation team; Hong Yu 001 (EMNLP (Findings), 2024)

ODD: A Benchmark Dataset for the Natural Language Processing Based Opioid Related Aberrant Behavior Detection. - Sunjae Kwon; Xun Wang; Weisong Liu; Emily Druhl; Minhee L. Sung; Joel I. Reisman; Wenjun Li; Robert D. Kerns; William Becker; Hong Yu 001 (NAACL-HLT, 2024)

Is It Safe to Cross? Interpretable Risk Assessment with GPT-4V for Safety-Aware Street Crossing. - Hochul Hwang; Sunjae Kwon; Yekyung Kim; Donghyun Kim 002 (UR, 2024)

Large Language Model-based Role-Playing for Personalized Medical Jargon Extraction. - Jung Hoon Lim; Sunjae Kwon; Zonghai Yao; John P. Lalor; Hong Yu 001 (CoRR, 2024)

Blocks Architecture (BloArk): Efficient, Cost-Effective, and Incremental Dataset Architecture for Wikipedia Revision History. - Lingxi Li; Zonghai Yao; Sunjae Kwon; Hong Yu 001 (CoRR, 2024)

Enhancing LLMs for Identifying and Prioritizing Important Medical Jargons from Electronic Health Record Notes Utilizing Data Augmentation. - Won Seok Jang; Sharmin Sultana; Zonghai Yao; Hieu Tran; Zhichao Yang 001; Sunjae Kwon; Hong Yu 001 (CoRR, 2025)