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Juae Kim
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2020 – today
- 2024
- [c8]Kyungmin Park, Sihyun Oh, Daehyun Kim, Juae Kim:
Contrastive Learning as a Polarizer: Mitigating Gender Bias by Fair and Biased sentences. NAACL-HLT (Findings) 2024: 4725-4736 - [i4]Yejin Kim, Eojin Kang, Juae Kim, H. Howie Huang:
Causal Reasoning in Large Language Models: A Knowledge Graph Approach. CoRR abs/2410.11588 (2024) - 2023
- [j6]Cheoneum Park, Seohyeong Jeong
, Juae Kim
ADMit: Improving NER in automotive domain with domain adversarial training and multi-task learning. Expert Syst. Appl. 225: 120007 (2023) - [j5]Cheoneum Park
Robust Multi-task Learning-based Korean POS Tagging to Overcome Word Spacing Errors. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(6): 182:1-182:13 (2023) - 2022
- [j4]Juae Kim
Weakly labeled data augmentation for social media named entity recognition. Expert Syst. Appl. 209: 118217 (2022) - [i3]Hwanhee Lee, Cheon-Eum Park, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Juae Kim, Kyomin Jung:
Factual Error Correction for Abstractive Summaries Using Entity Retrieval. CoRR abs/2204.08263 (2022) - 2021
- [j3]Juae Kim
Adaptive Named Entity Recognition Using Distant Supervision for Contemporary Written Texts. IEEE Access 9: 80405-80414 (2021) - [c7]Bosung Kim, Juae Kim, Youngjoong Ko, Jungyun Seo:
Commonsense Knowledge Augmentation for Low-Resource Languages via Adversarial Learning. AAAI 2021: 6393-6401 - [c6]Minwoo Lee, Seungpil Won, Juae Kim, Hwanhee Lee
CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models. CIKM 2021: 3181-3185 - [i2]Minwoo Lee, Seungpil Won, Juae Kim, Hwanhee Lee, Cheon-Eum Park, Kyomin Jung:
CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models. CoRR abs/2109.15107 (2021) - 2020
- [j2]Juae Kim
Construction of Machine-Labeled Data for Improving Named Entity Recognition by Transfer Learning. IEEE Access 8: 59684-59693 (2020) - [c5]Yejin Kim, Juae Kim, Jungyun Seo:
Noise Improves Noise: Verification of Pre-Training Effect with Weakly Labeled Data on Social Media NER. BigComp 2020: 225-228
2010 – 2019
- 2019
- [j1]Juae Kim, Youngjoong Ko
A Bootstrapping Approach With CRF and Deep Learning Models for Improving the Biomedical Named Entity Recognition in Multi-Domains. IEEE Access 7: 70308-70318 (2019) - [c4]Hwijeen Ahn, Minyoung Seo, Chanmin Park, Juae Kim, Jungyun Seo:
Extensive Use of Morpheme Features in Korean Dependency Parsing. BigComp 2019: 1-4 - [c3]Juae Kim, Sangwoo Kang, Youngmin Park, Jungyun Seo:
Transfer Learning from Automatically Annotated Data for Recognizing Named Entities in Recent Generated Texts. BigComp 2019: 1-5 - [c2]Cheon-Eum Park, Juae Kim, Hyeon-gu Lee, Reinald Kim Amplayo, Harksoo Kim, Jungyun Seo, Changki Lee:
ThisIsCompetition at SemEval-2019 Task 9: BERT is unstable for out-of-domain samples. SemEval@NAACL-HLT 2019: 1254-1261 - [i1]Cheon-Eum Park, Juae Kim, Hyeon-gu Lee, Reinald Kim Amplayo, Harksoo Kim, Jungyun Seo, Changki Lee:
ThisIsCompetition at SemEval-2019 Task 9: BERT is unstable for out-of-domain samples. CoRR abs/1904.03339 (2019) - 2017
- [c1]Juae Kim, Sunjae Kwon, Youngjoong Ko, Jungyun Seo:
A Method to Generate a Machine-Labeled Data for Biomedical Named Entity Recognition with Various Sub-Domains. DDDSM@IJCNLP 2017: 47-51
Coauthor Index
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