Sunjae Kwon

According to our database, Sunjae Kwon authored at least 28 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Blocks Architecture (BloArk): Efficient, Cost-Effective, and Incremental Dataset Architecture for Wikipedia Revision History.

Lingxi Li, Zonghai Yao, Sunjae Kwon, Hong Yu

CoRR, 2024

Large Language Model-based Role-Playing for Personalized Medical Jargon Extraction.

Jung Hoon Lim, Sunjae Kwon, Zonghai Yao, John P. Lalor, Hong Yu

CoRR, 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

Proceedings of the 21st International Conference on Ubiquitous Robots, 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

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 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, Hong Yu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

ClinicalMamba: A Generative Clinical Language Model on Longitudinal Clinical Notes.

Zhichao Yang, Avijit Mitra, Sunjae Kwon, Hong Yu

Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

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, Sunjae Kwon, Junda Wang, Hong Yu

Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

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., December, 2023

Pre-trained Model-based Software Defect Prediction for Edge-cloud Systems.

Sunjae Kwon, Sungu Lee, Duksan Ryu, Jongmoon Baik

J. Web Eng., 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

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, README annotation team, Hong Yu

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

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

CoRR, 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

Proceedings of the Current Trends in Web Engineering, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss Information.

Sunjae Kwon, Rishabh Garodia, Minhwa Lee, Zhichao Yang, Hong Yu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Multi-Label Few-Shot ICD Coding as Autoregressive Generation with Prompt.

Zhichao Yang, Sunjae Kwon, Zonghai Yao, Hong Yu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

An Automatic SOAP Classification System Using Weakly Supervision And Transfer Learning.

Sunjae Kwon, Zhichao Yang, Hong Yu

CoRR, 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

CodeBERT Based Software Defect Prediction for Edge-Cloud Systems.

Sunjae Kwon, Jong-In Jang, Sungu Lee, Duksan Ryu, Jongmoon Baik

Proceedings of the Current Trends in Web Engineering, 2022

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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Word sense disambiguation based on context selection using knowledge-based word similarity.

Sunjae Kwon, Dongsuk Oh, Youngjoong Ko

Inf. Process. Manag., 2021

eCPDP: Early Cross-Project Defect Prediction.

Sunjae Kwon, Duksan Ryu, Jongmoon Baik

Proceedings of the 21st IEEE International Conference on Software Quality, 2021

2019

Effective vector representation for the Korean named-entity recognition.

Sunjae Kwon, Youngjoong Ko, Jungyun Seo

Pattern Recognit. Lett., 2019

Why Do Masked Neural Language Models Still Need Common Sense Knowledge?

Sunjae Kwon, Cheongwoong Kang, Jiyeon Han, Jaesik Choi

CoRR, 2019

2018

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

Proceedings of the 27th International Conference on Computational Linguistics, 2018

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

Proceedings of the International Workshop on Digital Disease Detection using Social Media, 2017

A Robust Named-Entity Recognition System Using Syllable Bigram Embedding with Eojeol Prefix Information.

Sunjae Kwon, Youngjoong Ko, Jungyun Seo

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017