Learning to generate word representations using subword information Y Kim, KM Kim, JM Lee, SK Lee Proceedings of the 27th International Conference on Computational …, 2018 | 31 | 2018 |
From small-scale to large-scale text classification KM Kim, Y Kim, J Lee, JM Lee, SK Lee The World Wide Web Conference, 853-862, 2019 | 20 | 2019 |
Adaptive compression of word embeddings Y Kim, KM Kim, SK Lee Proceedings of the 58th annual meeting of the association for computational …, 2020 | 19 | 2020 |
Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking M Lee, JH Park, J Kim, KM Kim, SK Lee Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 10 | 2022 |
meCurate: Personalized curation service using a tiny text intelligence WJ Ryu, JH Lee, KM Kim, SK Lee Proceedings of the 26th International Conference on World Wide Web Companion …, 2017 | 8 | 2017 |
Quantized sparse training: a unified trainable framework for joint pruning and quantization in DNNs JH Park, KM Kim, S Lee ACM Transactions on Embedded Computing Systems (TECS) 21 (5), 1-22, 2022 | 7 | 2022 |
Multi-pretraining for large-scale text classification KM Kim, B Hyeon, Y Kim, JH Park, SK Lee Findings of the Association for Computational Linguistics: EMNLP 2020, 2041-2050, 2020 | 6 | 2020 |
Incorporating word embeddings into open directory project based large-scale classification KM Kim, A Dinara, BJ Choi, SK Lee Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018 | 6 | 2018 |
Mobile Contextual Advertising Platform based on Tiny Text Intelligence JH Lee, SY Jun, SJ Park, KM Kim, SK Lee Proceedings of the 15th Annual International Conference on Mobile Systems …, 2017 | 6 | 2017 |
An accurate deep learning–based system for automatic pill identification: Model development and validation J Heo, Y Kang, SK Lee, DH Jeong, KM Kim Journal of medical Internet research 25, e41043, 2023 | 5 | 2023 |
Learning from missing relations: Contrastive learning with commonsense knowledge graphs for commonsense inference YH Jung, JH Park, JY Choi, M Lee, J Kim, KM Kim, SK Lee Findings of the Association for Computational Linguistics: ACL 2022, 1514-1523, 2022 | 5 | 2022 |
MeChat: In-device personal assistant for conversational photo sharing KM Kim, WJ Ryu, JH Park, SK Lee IEEE Internet Computing 23 (2), 23-30, 2018 | 5 | 2018 |
“Why do I feel offended?”-Korean Dataset for Offensive Language Identification SH Park, KM Kim, OJ Lee, Y Kang, J Lee, SM Lee, SK Lee Findings of the Association for Computational Linguistics: EACL 2023, 1142-1153, 2023 | 3 | 2023 |
KOAS: Korean text offensiveness analysis system SH Park, KM Kim, S Cho, JH Park, H Park, H Kim, S Chung, SK Lee Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 3 | 2021 |
Combining dual word embeddings with open directory project based text classification D Aliyeva, KM Kim, BJ Choi, SK Lee 2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive …, 2018 | 3 | 2018 |
From text classification to keyphrase extraction for short text SE Lee, KM Kim, WJ Ryu, J Park, SK Lee 2019 IEEE International Conference on Big Data (Big Data), 1137-1142, 2019 | 2 | 2019 |
University Student Dropout Prediction Using Pretrained Language Models HS Won, MJ Kim, D Kim, HS Kim, KM Kim Applied Sciences 13 (12), 7073, 2023 | 1 | 2023 |
Multi-stage prompt tuning for political perspective detection in low-resource settings KM Kim, M Lee, HS Won, MJ Kim, Y Kim, SK Lee Applied Sciences 13 (10), 6252, 2023 | 1 | 2023 |
Demo–Mechat: In-device conversational photo sharing service J Lee, WJ Ryu, Y Ahn, SE Lee, KM Kim, JH Park, SK Lee 17th ACM International Conference on Mobile Systems, Applications, and …, 2019 | 1 | 2019 |
MoCA: a novel privacy-preserving contextual advertising platform on mobile devices JH Lee, WJ Ryu, KM Kim, SK Lee Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 1208-1215, 2019 | 1 | 2019 |