Juae Kim

According to our database, Juae Kim authored at least 15 papers between 2017 and 2024.

Collaborative distances:

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

2024

Contrastive Learning as a Polarizer: Mitigating Gender Bias by Fair and Biased sentences.

Kyungmin Park, Sihyun Oh, Daehyun Kim, Juae Kim

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

2023

ADMit: Improving NER in automotive domain with domain adversarial training and multi-task learning.

Cheoneum Park, Seohyeong Jeong, Juae Kim

Expert Syst. Appl., September, 2023

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., June, 2023

2022

Weakly labeled data augmentation for social media named entity recognition.

Juae Kim, Yejin Kim, Sangwoo Kang

Expert Syst. Appl., 2022

Factual Error Correction for Abstractive Summaries Using Entity Retrieval.

Hwanhee Lee, Cheon-Eum Park, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Juae Kim, Kyomin Jung

CoRR, 2022

2021

Adaptive Named Entity Recognition Using Distant Supervision for Contemporary Written Texts.

Juae Kim, Yejin Kim, Sangwoo Kang, Jungyun Seo

IEEE Access, 2021

CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models.

Minwoo Lee, Seungpil Won, Juae Kim, Hwanhee Lee, Cheon-Eum Park, Kyomin Jung

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Commonsense Knowledge Augmentation for Low-Resource Languages via Adversarial Learning.

Bosung Kim, Juae Kim, Youngjoong Ko, Jungyun Seo

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Construction of Machine-Labeled Data for Improving Named Entity Recognition by Transfer Learning.

Juae Kim, Youngjoong Ko, Jungyun Seo

IEEE Access, 2020

Noise Improves Noise: Verification of Pre-Training Effect with Weakly Labeled Data on Social Media NER.

Yejin Kim, Juae Kim, Jungyun Seo

Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020

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

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

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Transfer Learning from Automatically Annotated Data for Recognizing Named Entities in Recent Generated Texts.

Juae Kim, Sangwoo Kang, Youngmin Park, Jungyun Seo

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019

Extensive Use of Morpheme Features in Korean Dependency Parsing.

Hwijeen Ahn, Minyoung Seo, Chanmin Park, Juae Kim, Jungyun Seo

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019

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