| Ground-truth labels matter: A deeper look into input-label demonstrations KM Yoo, J Kim, HJ Kim, H Cho, H Jo, SW Lee, S Lee, T Kim arXiv preprint arXiv:2205.12685, 2022 | 62* | 2022 |
| Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings H Jo, C Cinarel EMNLP2019, 2019 | 20 | 2019 |
| Extrofitting: Enriching Word Representation and its Vector Space with Semantic Lexicons H Jo, SJ Choi ACL2018 Workshop on RepL4NLP, 2018 | 15 | 2018 |
| What we really want to find by Sentiment Analysis: The Relationship between Computational Models and Psychological State H Jo, SM Kim, J Ryu arXiv preprint arXiv:1704.03407, 2017 | 14 | 2017 |
| Exploring gender differences in spatial orientation ability on representing cognitive map Y Moon, H Jo, J Kim, J Ryu International Journal of Psychology and Behavioral Sciences 6 (2), 91-98, 2016 | 13 | 2016 |
| Large-Scale Text Classification with a Convolutional Neural Network H Jo, JH Kim, S Yoon, KM Kim, BT Zhang 42th The Korean Institute of Information Scientists and Engineers Annual Meeting, 2015 | 13* | 2015 |
| Modeling Mathematical Notation Semantics in Academic Papers H Jo, D Kang, A Head, MA Hearst Findings of the Association for Computational Linguistics: EMNLP 2021, 3102-3115, 2021 | 12 | 2021 |
| Large-scale text classification with recurrent neural networks H Jo, JH Kim, KM Kim, JH Chang, JH Eom, BT Zhang Korea Computer Congress 2016, 2016 | 11* | 2016 |
| Large-scale text classification with deep neural networks H Jo, JH Kim, KM Kim, JH Chang, JH Eom, BT Zhang KIISE Transactions on Computing Practices 23 (5), 322-327, 2017 | 7 | 2017 |
| Large-scale text classification methodology with convolutional neural network H Jo, JH Kim, S Yoon, KM Kim, BT Zhang Proceedings of the 2015 Korean Information Science Society Conference, 792-794, 2015 | 6 | 2015 |
| Passive Versus Active: Frameworks of Active Learning for Linking Humans to Machines J Lim, H Jo, BT Zhang, J Park Proceedings of the Annual Meeting of the Cognitive Science Society 43 (43), 2021 | 5* | 2021 |
| Self-supervised Post-processing Method to Enrich Pretrained Word Vectors H Jo Findings of the Association for Computational Linguistics: EMNLP 2023, 747-757, 2023 | 3* | 2023 |
| Depression as Indicator of Emotional Regulation: Overgeneral Autobiographical Memory H Jo, Y Moon, J Kim, J Ryu 1st International Symposium on Social Science and Management, 2016 | 3 | 2016 |
| Konvbot: 한국어 대화 모델: 아침, 가정환경을 중심으로 조휘열， 강우영， 한동식， 장병탁 한국정보과학회 학술발표논문집, 624-626, 2016 | 2 | 2016 |
| Devil’s Advocate: Novel Boosting Ensemble Method from Psychological Findings for Text Classification H Jo, J Lim, BT Zhang Findings of the Association for Computational Linguistics: EMNLP 2021, 2168-2174, 2021 | 1 | 2021 |
| Psychological State in Text: A Limitation of Sentiment Analysis H Jo, J Ryu IJCAI2018 Workshop on Computational Psychology (CompPsy), 2018 | 1 | 2018 |
| 웨어러블 센서를 이용한 라이프로그 데이터 자동 감정 태깅 박경화， 김병희， 김은솔， 조휘열， 장병탁 정보과학회 컴퓨팅의 실제 논문지 23 (6), 386-391, 2017 | 1 | 2017 |
| Childbot: A Conversational Assistant for Childcare H Jo, DS Han, WY Kang, BT Zhang 2016 International Symposium on Perception, Action, and Cognitive Systems, 2016 | 1 | 2016 |
| Taxonomy and Analysis of Sensitive User Queries in Generative AI Search H Jo, T Park, N Choi, C Kim, O Kwon, D Jeon, H Lee, EH Lee, K Shin, ... arXiv preprint arXiv:2404.08672, 2024 | | 2024 |
| A Self-Supervised Integration Method of Pretrained Language Models and Word Definitions H Jo Findings of the Association for Computational Linguistics: ACL 2023, 14-26, 2023 | | 2023 |
Byoung-Tak ZhangProfessor of Computer Science, Cognitive Science, and Brain Science, Seoul National UniversityVerified email at bi.snu.ac.kr
