Named entity recognition: a maximum entropy approach using global information HL Chieu, HT Ng COLING 2002: The 19th International Conference on Computational Linguistics, 2002 | 438 | 2002 |
Named entity recognition with a maximum entropy approach HL Chieu, HT Ng Proceedings of the seventh conference on Natural language learning at HLT …, 2003 | 357 | 2003 |
A maximum entropy approach to information extraction from semi-structured and free text HL Chieu, HT Ng Aaai/iaai 2002, 786-791, 2002 | 271 | 2002 |
Query based event extraction along a timeline HL Chieu, YK Lee Proceedings of the 27th annual international ACM SIGIR conference on …, 2004 | 195 | 2004 |
Interpretable rumor detection in microblogs by attending to user interactions LMS Khoo, HL Chieu, Z Qian, J Jiang Proceedings of the AAAI conference on artificial intelligence 34 (05), 8783-8790, 2020 | 194 | 2020 |
Optimizing F-measure: A Tale of Two Approaches N Ye, KMA Chai, WS Lee, HL Chieu Proceedings of the 29th International Conference on Machine Learning, 2012 | 192* | 2012 |
Bayesian online classifiers for text classification and filtering KMA Chai, HL Chieu, HT Ng Proceedings of the 25th annual international ACM SIGIR conference on …, 2002 | 188 | 2002 |
Language modeling with sum-product networks. WC Cheng, S Kok, HV Pham, HL Chieu, KMA Chai Interspeech 2014, 2098-2102, 2014 | 108 | 2014 |
Domain adaptive bootstrapping for named entity recognition D Wu, WS Lee, N Ye, HL Chieu EMNLP'09 Proceedings of the 2009 Conference on Empirical Methods in Natural …, 2009 | 83 | 2009 |
Closing the gap: Learning-based information extraction rivaling knowledge-engineering methods HL Chieu, HT Ng, YK Lee Proceedings of the 41st Annual Meeting of the Association for Computational …, 2003 | 81 | 2003 |
Conditional random field with high-order dependencies for sequence labeling and segmentation NV Cuong, N Ye, WS Lee, HL Chieu The Journal of Machine Learning Research 15 (1), 981-1009, 2014 | 67 | 2014 |
Conditional random fields with high-order features for sequence labeling N Ye, W Lee, H Chieu, D Wu Advances in neural information processing systems 22, 2009 | 64 | 2009 |
Can syntax help? improving an lstm-based sentence compression model for new domains L Wang, J Jiang, HL Chieu, CH Ong, D Song, L Liao Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 58 | 2017 |
Coupled hierarchical transformer for stance-aware rumor verification in social media conversations J YU, J JIANG, LMS KHOO, HL CHIEU, R XIA Conference on Empirical Methods in Natural Language Processing (EMNLP), 1392, 2020 | 52 | 2020 |
Active learning for probabilistic hypotheses using the maximum Gibbs error criterion NV Cuong, WS Lee, N Ye, KMA Chai, HL Chieu Advances in Neural Information Processing Systems 26, 2013 | 50 | 2013 |
Troll detection by domain-adapting sentiment analysis CW Seah, HL Chieu, KMA Chai, LN Teow, LW Yeong 2015 18th International Conference on Information Fusion (Fusion), 792-799, 2015 | 42 | 2015 |
Activity recognition from physiological data using conditional random fields HL Chieu, WS Lee, LP Kaelbling | 35 | 2006 |
Extracting relation descriptors with conditional random fields Y Li, J Jiang, HL Chieu, KMA Chai Proceedings of 5th International Joint Conference on Natural Language …, 2011 | 32 | 2011 |
Universal dependencies parsing for colloquial singaporean english H Wang, Y Zhang, GYL Chan, J Yang, HL Chieu arXiv preprint arXiv:1705.06463, 2017 | 29 | 2017 |
Learning to Capitalize with Character-Level Recurrent Neural Networks: An Empirical Study RH Susanto, HL Chieu, W Lu Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 28 | 2016 |