| KoNLPy: Korean natural language processing in Python EL Park, S Cho Annual Conference on Human and Language Technology, 133-136, 2014 | 375* | 2014 |
| Text classification using capsules J Kim, S Jang, E Park, S Choi Neurocomputing 376, 214-221, 2020 | 155 | 2020 |
| A context-aware citation recommendation model with BERT and graph convolutional networks C Jeong, S Jang, E Park, S Choi Scientometrics 124 (3), 1907-1922, 2020 | 117 | 2020 |
| Klue: Korean language understanding evaluation S Park, J Moon, S Kim, WI Cho, J Han, J Park, C Song, J Kim, Y Song, ... arXiv preprint arXiv:2105.09680, 2021 | 111 | 2021 |
| Patent document clustering with deep embeddings J Kim, J Yoon, E Park, S Choi Scientometrics 123, 563-577, 2020 | 64 | 2020 |
| Deep learning for patent landscaping using transformer and graph embedding S Choi, H Lee, E Park, S Choi Technological Forecasting and Social Change 175, 121413, 2022 | 22* | 2022 |
| Revisiting round-trip translation for quality estimation J Moon, H Cho, EL Park arXiv preprint arXiv:2004.13937, 2020 | 18 | 2020 |
| Hybrid machine learning approach for popularity prediction of newly released contents of online video streaming services H Jeon, W Seo, E Park, S Choi Technological Forecasting and Social Change 161, 120303, 2020 | 15 | 2020 |
| 북한 신년사 (1946-2015) 에 대한 자동화된 텍스트 분석 박종희， 박은정， 조동준 한국정치학회보 49 (2), 27-61, 2015 | 15 | 2015 |
| Data based segmentation and summarization for sensor data in semiconductor manufacturing EL Park, J Park, J Yang, S Cho, YH Lee, HS Park Expert systems with applications 41 (6), 2619-2629, 2014 | 15 | 2014 |
| Meta-Learning for Low-Resource Unsupervised Neural MachineTranslation Y Tae, C Park, T Kim, S Yang, MA Khan, E Park, T Qin, J Choo arXiv preprint arXiv:2010.09046, 2020 | 12* | 2020 |
| Supervised paragraph vector: distributed representations of words, documents and class labels EL Park, S Cho, P Kang IEEE Access 7, 29051-29064, 2019 | 12 | 2019 |
| Stock price prediction through sentiment analysis of corporate disclosures using distributed representation M Kim, EL Park, S Cho Intelligent Data Analysis 22 (6), 1395-1413, 2018 | 12 | 2018 |
| A multilingual neural machine translation model for biomedical data A Bérard, ZM Kim, V Nikoulina, EL Park, M Gallé arXiv preprint arXiv:2008.02878, 2020 | 11 | 2020 |
| Digital display device and method for controlling the same K Sungsuk, K Baeguen, Y Cho, H Kim, S Cho, YUN Myunghwan, ... US Patent 9,386,342, 2016 | 9 | 2016 |
| Patquest: Papago translation quality estimation Y Baek, ZM Kim, J Moon, H Kim, E Park Proceedings of the Fifth Conference on Machine Translation, 991-998, 2020 | 6 | 2020 |
| Apparatus and method of segmenting sensor data output from a semiconductor manufacturing facility HS Park, YH Lee, JH Kim, H Jeon, EL Park, S Cho, J Park, J Yang US Patent 9,696,717, 2017 | 2 | 2017 |
| 한국어 뉴스 기사에서 바이그램을 활용한 온라인 토픽 탐지 김태욱， 박은정， 조성준 한국정보과학회 학술발표논문집, 2071-2073, 2015 | 1 | 2015 |
| Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS) EL Park, M Hagiwara, D Milajevs, NF Liu, G Chauhan, L Tan Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS), 2020 | | 2020 |
| Machine translation, where are you going? L Park 한국외국어대학교 통번역연구소 학술대회, 94-96, 2019 | | 2019 |
Sungchul ChoiPukyong National UniversityVerified email at pknu.ac.kr
