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)

Extensive Use of Morpheme Features in Korean Dependency Parsing. - Hwijeen Ahn; Minyoung Seo; Chanmin Park; Juae Kim; Jungyun Seo (BigComp, 2019)

Transfer Learning from Automatically Annotated Data for Recognizing Named Entities in Recent Generated Texts. - Juae Kim; Sangwoo Kang; Youngmin Park; Jungyun Seo (BigComp, 2019)

ThisIsCompetition at SemEval-2019 Task 9: BERT is unstable for out-of-domain samples. - Cheon-Eum Park; Juae Kim; Hyeon-gu Lee; Reinald Kim Amplayo; Harksoo Kim; Jungyun Seo; Changki Lee (SemEval@NAACL-HLT, 2019)

A Bootstrapping Approach With CRF and Deep Learning Models for Improving the Biomedical Named Entity Recognition in Multi-Domains. - Juae Kim; Youngjoong Ko; Jungyun Seo (IEEE Access, 2019)

Noise Improves Noise: Verification of Pre-Training Effect with Weakly Labeled Data on Social Media NER. - Yejin Kim; Juae Kim; Jungyun Seo (BigComp, 2020)

Construction of Machine-Labeled Data for Improving Named Entity Recognition by Transfer Learning. - Juae Kim; Youngjoong Ko; Jungyun Seo (IEEE Access, 2020)

Commonsense Knowledge Augmentation for Low-Resource Languages via Adversarial Learning. - Bosung Kim; Juae Kim; Youngjoong Ko; Jungyun Seo (AAAI, 2021)

CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models. - Minwoo Lee 003; Seungpil Won; Juae Kim; Hwanhee Lee; Cheon-Eum Park; Kyomin Jung (CIKM, 2021)

Adaptive Named Entity Recognition Using Distant Supervision for Contemporary Written Texts. - Juae Kim; Yejin Kim; Sangwoo Kang; Jungyun Seo (IEEE Access, 2021)

Factual Error Correction for Abstractive Summaries Using Entity Retrieval. - Hwanhee Lee; Cheon-Eum Park; Seunghyun Yoon 002; Trung Bui; Franck Dernoncourt; Juae Kim; Kyomin Jung (CoRR, 2022)

Weakly labeled data augmentation for social media named entity recognition. - Juae Kim; Yejin Kim; Sangwoo Kang (Expert Syst. Appl., 2022)

Robust Multi-task Learning-based Korean POS Tagging to Overcome Word Spacing Errors. - Cheoneum Park; Juae Kim (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

ADMit: Improving NER in automotive domain with domain adversarial training and multi-task learning. - Cheoneum Park; Seohyeong Jeong; Juae Kim (Expert Syst. Appl., 2023)

Contrastive Learning as a Polarizer: Mitigating Gender Bias by Fair and Biased sentences. - Kyungmin Park; Sihyun Oh; Daehyun Kim; Juae Kim (NAACL-HLT (Findings), 2024)

Causal Reasoning in Large Language Models: A Knowledge Graph Approach. - Yejin Kim; Eojin Kang; Juae Kim; H. Howie Huang (CoRR, 2024)

LLMs Are Globally Multilingual Yet Locally Monolingual: Exploring Knowledge Transfer via Language and Thought Theory. - Eojin Kang; Juae Kim (CoRR, 2025)

Exploring the Impact of Occupational Personas on Domain-Specific QA. - Eojin Kang; Jaehyuk Yu; Juae Kim (CoRR, 2025)