| Document modeling with gated recurrent neural network for sentiment classification D Tang, B Qin, T Liu Proceedings of the 2015 conference on empirical methods in natural language …, 2015 | 1590 | 2015 |
| Learning sentiment-specific word embedding for twitter sentiment classification. D Tang, F Wei, N Yang, M Zhou, T Liu, B Qin ACL (1), 1555-1565, 2014 | 1377 | 2014 |
| Effective LSTMs for target-dependent sentiment classification D Tang, B Qin, X Feng, T Liu Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 891* | 2016 |
| Aspect level sentiment classification with deep memory network D Tang, B Qin, T Liu Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 772 | 2016 |
| Adaptive recursive neural network for target-dependent twitter sentiment classification L Dong, F Wei, C Tan, D Tang, M Zhou, K Xu Proceedings of the 52nd annual meeting of the association for computational …, 2014 | 732 | 2014 |
| Codebert: A pre-trained model for programming and natural languages Z Feng, D Guo, D Tang, N Duan, X Feng, M Gong, L Shou, B Qin, T Liu, ... arXiv preprint arXiv:2002.08155, 2020 | 460 | 2020 |
| Learning semantic representations of users and products for document level sentiment classification D Tang, B Qin, T Liu Proceedings of the 53rd annual meeting of the Association for Computational …, 2015 | 355 | 2015 |
| Coooolll: A deep learning system for twitter sentiment classification D Tang, F Wei, B Qin, T Liu, M Zhou Proceedings of the 8th international workshop on semantic evaluation …, 2014 | 292 | 2014 |
| Sentiment embeddings with applications to sentiment analysis D Tang, F Wei, B Qin, N Yang, T Liu, M Zhou IEEE transactions on knowledge and data Engineering 28 (2), 496-509, 2015 | 278 | 2015 |
| A language-independent neural network for event detection X Feng, B Qin, T Liu Science China Information Sciences 61 (9), 1-12, 2018 | 242 | 2018 |
| Building large-scale twitter-specific sentiment lexicon: A representation learning approach D Tang, F Wei, B Qin, M Zhou, T Liu Proceedings of coling 2014, the 25th international conference on …, 2014 | 221 | 2014 |
| Modeling mention, context and entity with neural networks for entity disambiguation Y Sun, L Lin, D Tang, N Yang, Z Ji, X Wang Twenty-fourth international joint conference on artificial intelligence, 2015 | 220 | 2015 |
| Question generation for question answering N Duan, D Tang, P Chen, M Zhou Proceedings of the 2017 conference on empirical methods in natural language …, 2017 | 213 | 2017 |
| K-adapter: Infusing knowledge into pre-trained models with adapters R Wang, D Tang, N Duan, Z Wei, X Huang, G Cao, D Jiang, M Zhou arXiv preprint arXiv:2002.01808, 2020 | 191 | 2020 |
| User modeling with neural network for review rating prediction D Tang, B Qin, T Liu, Y Yang Twenty-fourth international joint conference on artificial intelligence, 2015 | 169 | 2015 |
| Graphcodebert: Pre-training code representations with data flow D Guo, S Ren, S Lu, Z Feng, D Tang, S Liu, L Zhou, N Duan, ... arXiv preprint arXiv:2009.08366, 2020 | 165* | 2020 |
| Deep learning for sentiment analysis: successful approaches and future challenges D Tang, B Qin, T Liu Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 5 (6 …, 2015 | 161 | 2015 |
| Question answering and question generation as dual tasks D Tang, N Duan, T Qin, Z Yan, M Zhou arXiv preprint arXiv:1706.02027, 2017 | 151 | 2017 |
| Codexglue: A machine learning benchmark dataset for code understanding and generation S Lu, D Guo, S Ren, J Huang, A Svyatkovskiy, A Blanco, C Clement, ... arXiv preprint arXiv:2102.04664, 2021 | 147* | 2021 |
| Radical-enhanced chinese character embedding Y Sun, L Lin, N Yang, Z Ji, X Wang International Conference on Neural Information Processing, 279-286, 2014 | 117 | 2014 |
Ming Zhou (周明)Chief Scientist at Sinovation, ACL president (2019), VP of CCF(2020-2024)Verified email at chuangxin.com
