| Self-training from labeled features for sentiment analysis Y He, D Zhou Information Processing & Management 47 (4), 606-616, 2011 | 191 | 2011 |
| Extracting interactions between proteins from the literature D Zhou, Y He Journal of biomedical informatics 41 (2), 393-407, 2008 | 123 | 2008 |
| An unsupervised framework of exploring events on twitter: Filtering, extraction and categorization D Zhou, L Chen, Y He Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015 | 73 | 2015 |
| Emotion distribution learning from texts D Zhou, X Zhang, Y Zhou, Q Zhao, X Geng Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 61 | 2016 |
| Biomedical relation extraction: from binary to complex D Zhou, D Zhong, Y He Computational and mathematical methods in medicine 2014, 2014 | 58 | 2014 |
| Event trigger identification for biomedical events extraction using domain knowledge D Zhou, D Zhong, Y He Bioinformatics 30 (11), 1587-1594, 2014 | 52 | 2014 |
| Position-aware deep multi-task learning for drug–drug interaction extraction D Zhou, L Miao, Y He Artificial intelligence in medicine 87, 1-8, 2018 | 34 | 2018 |
| Discriminative training of the hidden vector state model for semantic parsing D Zhou, Y He IEEE Transactions on Knowledge and Data Engineering 21 (1), 66-77, 2008 | 33 | 2008 |
| A simple bayesian modelling approach to event extraction from twitter D Zhou, L Chen, Y He the annual meeting of the Association for Computational Linguistics (ACL), 0, 2014 | 29 | 2014 |
| Exploring english lexicon knowledge for chinese sentiment analysis Y He, H Alani, D Zhou | 23 | 2010 |
| A semi-supervised learning framework for biomedical event extraction based on hidden topics D Zhou, D Zhong Artificial intelligence in medicine 64 (1), 51-58, 2015 | 21 | 2015 |
| Extracting protein-protein interactions from the literature using the hidden vector state model D Zhou, Y He, CK Kwoh International Conference on Computational Science, 718-725, 2006 | 21 | 2006 |
| Sparsity Conditional Energy Label Distribution Learning for Age Estimation X Yang, X Geng, D Zhou the 25th International Joint Conference on Artificial Intelligence IJCAI-16, 2016 | 19 | 2016 |
| An Unsupervised Bayesian Modelling Approach to Storyline Detection from News Articles D Zhou, H Xu, Y He Conference on Empirical Methods in Natural Language Processing (EMNLP), 1943 …, 2015 | 17 | 2015 |
| A survey on opinion mining: From stance to product aspect R Wang, D Zhou, M Jiang, J Si, Y Yang IEEE Access 7, 41101-41124, 2019 | 16 | 2019 |
| Relevant emotion ranking from text constrained with emotion relationships D Zhou, Y Yang, Y He NAACL, 561-571, 2018 | 16 | 2018 |
| Event extraction from Twitter using Non-Parametric Bayesian Mixture Model with Word Embeddings D Zhou, X Zhang, Y He EACL, 2017 | 16 | 2017 |
| Hidden topic–emotion transition model for multi-level social emotion detection D Tang, Z Zhang, Y He, C Lin, D Zhou Knowledge-Based Systems 164, 426-435, 2019 | 14 | 2019 |
| Jointly Event Extraction and Visualization on Twitter via Probabilistic Modelling D Zhou, T Gao, Y He ACL, 2016 | 14 | 2016 |
| Biomedical events extraction using the hidden vector state model D Zhou, Y He Artificial Intelligence in Medicine 53 (3), 205-213, 2011 | 14 | 2011 |
Yulan HeProfessor, University of WarwickVerified email at warwick.ac.uk
