| Semeval-2016 task 5: Aspect based sentiment analysis M Pontiki, D Galanis, H Papageorgiou, I Androutsopoulos, S Manandhar, ... International workshop on semantic evaluation, 19-30, 2016 | 3170 | 2016 |
| 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 | 2717 | 2020 |
| 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 | 2008 | 2015 |
| Learning sentiment-specific word embedding for twitter sentiment classification D Tang, F Wei, N Yang, M Zhou, T Liu, B Qin Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 1629 | 2014 |
| Pre-training with whole word masking for chinese bert Y Cui, W Che, T Liu, B Qin, Z Yang IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 3504-3514, 2021 | 1542 | 2021 |
| Effective LSTMs for target-dependent sentiment classification D Tang, B Qin, X Feng, T Liu arXiv preprint arXiv:1512.01100, 2015 | 1320 | 2015 |
| Aspect level sentiment classification with deep memory network D Tang, B Qin, T Liu arXiv preprint arXiv:1605.08900, 2016 | 1201 | 2016 |
| Revisiting pre-trained models for Chinese natural language processing Y Cui, W Che, T Liu, B Qin, S Wang, G Hu arXiv preprint arXiv:2004.13922, 2020 | 819 | 2020 |
| A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions L Huang, W Yu, W Ma, W Zhong, Z Feng, H Wang, Q Chen, W Peng, ... ACM Transactions on Information Systems, 2023 | 647 | 2023 |
| 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 | 433 | 2015 |
| 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 | 380 | 2015 |
| Learning semantic hierarchies via word embeddings R Fu, J Guo, B Qin, W Che, H Wang, T Liu Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 369 | 2014 |
| 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 | 341 | 2014 |
| A language-independent neural network for event detection X Feng, B Qin, T Liu Science China Information Sciences 61, 1-12, 2018 | 340 | 2018 |
| Orphée De Clercq, Véronique Hoste, Marianna Apidianaki, Xavier Tannier, Natalia Loukachevitch, Evgeniy Kotelnikov, Nuria Bel, Salud Marıa Jiménez-Zafra, and Gülsen Eryigit … M Pontiki, D Galanis, H Papageorgiou, I Androutsopoulos, S Manandhar, ... Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016 | 307 | 2016 |
| 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 | 241 | 2014 |
| 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 | 240 | 2015 |
| Sentiment analysis MS Shah, MA Bhat, MS Singh, MA Chavan, MA Singh | 209 | 2010 |
| 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 | 196 | 2015 |
| Document representation and feature combination for deceptive spam review detection L Li, B Qin, W Ren, T Liu Neurocomputing 254, 33-41, 2017 | 181 | 2017 |
