| Mining Scientific Terms and their Definitions: A Study of the ACL Anthology Y Jin, MY Kan, JP Ng, X He Conference on Empirical Methods in Natural Language Processing (EMNLP), 780--790, 2013 | 66 | 2013 |
| Combining Lightly-Supervised Text Classification Models for Accurate Contextual Advertising Y Jin, D Wanvarie, PTV Le International Joint Conference on Natural Language Processing (IJCNLP), 2017 | 11 | 2017 |
| Learning from noisy out-of-domain corpus using dataless classification Y Jin, D Wanvarie, PTV Le Natural Language Engineering 28 (1), 39-69, 2020 | 10 | 2020 |
| Seed Word Selection for Weakly-Supervised Text Classification with Unsupervised Error Estimation Y Jin, A Bhatia, D Wanvarie Proceedings of NAACL-HLT 2021 Student Research Workshop, 112-118, 2021 | 9 | 2021 |
| Genre-Oriented Web Content Extraction with Deep Convolutional Neural Networks and Statistical Methods BD Nguyen-Hoang, BT Pham-Hong, Y Jin, P T.V.Le Pacific Asia Conference on Language, Information and Computation (PACLIC), 2018 | 9 | 2018 |
| Towards Improving Coherence and Diversity of Slogan Generation Y Jin, A Bhatia, D Wanvarie, PTV Le Natural Language Engineering, 1-33, 2022 | 6 | 2022 |
| Learning Only from Relevant Keywords and Unlabeled Documents N Charoenphakdee, J Lee, Y Jin, D Wanvarie, M Sugiyama Conference on Empirical Methods in Natural Language Processing and the 9th …, 2019 | 6 | 2019 |
| Plot Writing From Pre-Trained Language Models Y Jin, V Kadam, D Wanvarie Proceedings of the 15th Conference on Natural Language Generation, 2022 | 4 | 2022 |
| Towards Weakly-Supervised Hate Speech Classification Across Datasets Y Jin, L Wanner, VL Kadam, A Shvets Proceedings of the 7th Workshop on Online Abuse and Harms (WOAH 2023), 42-59, 2023 | 3 | 2023 |
| Bootstrapping Large-Scale Fine-Grained Contextual Advertising Classifier from Wikipedia Y Jin, V Kadam, D Wanvarie The 15th Workshop on Graph-Based Methods for Natural Language Processing …, 2021 | 3 | 2021 |
| Selecting Domain-Specific Concepts for Question Generation With Lightly-Supervised Methods Y Jin, PTV Le International Natural Language Generation Conference (INLG), 133--142, 2016 | 3 | 2016 |
| Bridging the Gap between Research and Production with CODE Y Jin, D Wanvarie, P Le The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2019 | 1 | 2019 |
| ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation C Huang, Y Jin, I Ilievski, W Lei, J Lv Proceedings of ACL 2024 1, 10660–10675, 2024 | | 2024 |
| GPT-HateCheck: Can LLMs Write Better Functional Tests for Hate Speech Detection? Y Jin, L Wanner, A Shvets Proceedings of LREC-COLING 2024, 7867–7885, 2024 | | 2024 |
| Automated Ad Creative Generation V Kadam, Y Jin, BD Nguyen-Hoang Proceedings of the 15th International Conference on Natural Language …, 2022 | | 2022 |
| Cross-Domain Contextual Targeting Without any In-Domain Labelled Data Y Jin US Patent 11,093,969, 2021 | | 2021 |
| Natural Language Processing for Digital Advertising Y Jin Chulalongkorn University, 2021 | | 2021 |
| Lightly-Supervised Learning Methods for One-Class Text Classification Y Jin Chulalongkorn University, 2018 | | 2018 |
| Mining Definition of Term in Scientific Articles Y Jin National University of Singapore, 2013 | | 2013 |
Dittaya WanvarieChulalongkorn UniversityVerified email at chula.ac.th
