| The CHEMDNER corpus of chemicals and drugs and its annotation principles M Krallinger, O Rabal, F Leitner, M Vazquez, D Salgado, Z Lu, R Leaman, ... Journal of cheminformatics 7, 1-17, 2015 | 338 | 2015 |
| A neural joint model for entity and relation extraction from biomedical text F Li, M Zhang, G Fu, D Ji BMC bioinformatics 18, 1-11, 2017 | 316 | 2017 |
| Tree kernel-based relation extraction with context-sensitive structured parse tree information G Zhou, M Zhang, DH Ji, Q Zhu Proceedings of the 2007 Joint Conference on Empirical Methods in Natural …, 2007 | 300 | 2007 |
| Dependency graph enhanced dual-transformer structure for aspect-based sentiment classification H Tang, D Ji, C Li, Q Zhou Proceedings of the 58th annual meeting of the association for computational …, 2020 | 293 | 2020 |
| Neural networks for deceptive opinion spam detection: An empirical study Y Ren, D Ji Information Sciences 385, 213-224, 2017 | 259 | 2017 |
| Unified named entity recognition as word-word relation classification J Li, H Fei, J Liu, S Wu, M Zhang, C Teng, D Ji, F Li proceedings of the AAAI conference on artificial intelligence 36 (10), 10965 …, 2022 | 229 | 2022 |
| Context-sensitive twitter sentiment classification using neural network Y Ren, Y Zhang, M Zhang, D Ji Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 194 | 2016 |
| A topic-enhanced word embedding for Twitter sentiment classification Y Ren, R Wang, D Ji Information Sciences 369, 188-198, 2016 | 168 | 2016 |
| Relation extraction using label propagation based semi-supervised learning J Chen, D Ji, CL Tan, ZY Niu Proceedings of the 21st International Conference on Computational …, 2006 | 150 | 2006 |
| Word sense disambiguation using label propagation based semi-supervised learning ZY Niu, D Ji, CL Tan Proceedings of the 43rd Annual Meeting of the Association for Computational …, 2005 | 148 | 2005 |
| Long short-term memory RNN for biomedical named entity recognition C Lyu, B Chen, Y Ren, D Ji BMC bioinformatics 18, 1-11, 2017 | 142 | 2017 |
| Enriching contextualized language model from knowledge graph for biomedical information extraction H Fei, Y Ren, Y Zhang, D Ji, X Liang Briefings in bioinformatics 22 (3), bbaa110, 2021 | 136 | 2021 |
| Latent emotion memory for multi-label emotion classification H Fei, Y Zhang, Y Ren, D Ji Proceedings of the AAAI conference on artificial intelligence 34 (05), 7692-7699, 2020 | 118 | 2020 |
| Cross-lingual semantic role labeling with high-quality translated training corpus H Fei, M Zhang, D Ji arXiv preprint arXiv:2004.06295, 2020 | 117 | 2020 |
| Unsupervised feature selection for relation extraction J Chen, D Ji, CL Tan, ZY Niu Companion Volume to the Proceedings of Conference including Posters/Demos …, 2005 | 117 | 2005 |
| Positive unlabeled learning for deceptive reviews detection Y Ren, D Ji, H Zhang Proceedings of the 2014 conference on empirical methods in natural language …, 2014 | 116 | 2014 |
| Boundaries and edges rethinking: An end-to-end neural model for overlapping entity relation extraction H Fei, Y Ren, D Ji Information Processing & Management 57 (6), 102311, 2020 | 112 | 2020 |
| Towards Twitter sentiment classification by multi-level sentiment-enriched word embeddings S Xiong, H Lv, W Zhao, D Ji Neurocomputing 275, 2459-2466, 2018 | 112 | 2018 |
| Learn from syntax: Improving pair-wise aspect and opinion terms extractionwith rich syntactic knowledge S Wu, H Fei, Y Ren, D Ji, J Li arXiv preprint arXiv:2105.02520, 2021 | 106 | 2021 |
| Improving twitter sentiment classification using topic-enriched multi-prototype word embeddings Y Ren, Y Zhang, M Zhang, D Ji Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 102 | 2016 |
Yafeng RenComputer School, Wuhan UniversityVerified email at whu.edu.cn
