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 | 379 | 2015 |
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 | 364 | 2022 |
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 | 359 | 2020 |
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 | 353 | 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 | 308 | 2007 |
Neural networks for deceptive opinion spam detection: An empirical study Y Ren, D Ji Information Sciences 385, 213-224, 2017 | 292 | 2017 |
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 | 199 | 2016 |
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 | 188 | 2021 |
A topic-enhanced word embedding for Twitter sentiment classification Y Ren, R Wang, D Ji Information Sciences 369, 188-198, 2016 | 176 | 2016 |
Long short-term memory RNN for biomedical named entity recognition C Lyu, B Chen, Y Ren, D Ji BMC bioinformatics 18, 1-11, 2017 | 160 | 2017 |
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 | 155 | 2020 |
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 | 152 | 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 | 150 | 2005 |
MRN: A locally and globally mention-based reasoning network for document-level relation extraction J Li, K Xu, F Li, H Fei, Y Ren, D Ji Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 144 | 2021 |
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 | 140 | 2021 |
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 | 137 | 2020 |
A span-based model for joint overlapped and discontinuous named entity recognition F Li, ZC Lin, M Zhang, D Ji arXiv preprint arXiv:2106.14373, 2021 | 131 | 2021 |
Cross-lingual semantic role labeling with high-quality translated training corpus H Fei, M Zhang, D Ji arXiv preprint arXiv:2004.06295, 2020 | 129 | 2020 |
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 | 129 | 2014 |
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 | 116 | 2005 |