| Deep learning for sentiment analysis: A survey L Zhang, S Wang, B Liu Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 8 (4 …, 2018 | 2006 | 2018 |
| Target-Sensitive Memory Networks for Aspect Sentiment Classification S Wang, S Mazumder, B Liu, M Zhou, Y Chang Annual Meeting of the Association for Computational Linguistics (ACL), 2018 | 192 | 2018 |
| Bimodal distribution and co-bursting in review spam detection H Li, G Fei, S Wang, B Liu, W Shao, A Mukherjee, J Shao Proceedings of the 26th International Conference on World Wide Web (WWW …, 2017 | 170 | 2017 |
| Mining aspect-specific opinion using a holistic lifelong topic model S Wang, Z Chen, B Liu Proceedings of the 25th international conference on world wide web (WWW …, 2016 | 128 | 2016 |
| Learning cumulatively to become more knowledgeable G Fei, S Wang, B Liu International Conference on Knowledge Discovery and Data Mining (KDD), 1565-1574, 2016 | 110 | 2016 |
| Improving event detection via open-domain event trigger knowledge M Tong, B Xu, S Wang, Y Cao, L Hou, J Li, J Xie Association for Computational Linguistics, 2020 | 105 | 2020 |
| Cocox: Generating conceptual and counterfactual explanations via fault-lines A Akula, S Wang, SC Zhu Proceedings of the AAAI conference on artificial intelligence 34 (03), 2594-2601, 2020 | 81 | 2020 |
| Targeted Topic Modeling for Focused Analysis S Wang, Z Chen, G Fei, B Liu, S Emery International Conference on Knowledge Discovery and Data Mining (KDD), 1235-1244, 2016 | 53 | 2016 |
| Smoking Selfies: Using Instagram to Explore Young Women’s Smoking Behavior D Cortese, G Szczypka, S Emery, S Wang, E Hair, D Vallone Social Media and Society: SAGE Journals, 2018 | 38 | 2018 |
| Multi-Task Learning and Adapted Knowledge Models for Emotion-Cause Extraction E Turcan, S Wang, R Anubhai, K Bhattacharjee, Y Al-Onaizan, S Muresan ACL 2021, 2021 | 37 | 2021 |
| Identifying Search Keywords for Finding Relevant Social Media Posts S Wang, Z Chen, B Liu, S Emery AAAI, 2016 | 37 | 2016 |
| Lifelong and interactive learning of factual knowledge in dialogues S Mazumder, B Liu, S Wang, N Ma arXiv preprint arXiv:1907.13295, 2019 | 36 | 2019 |
| Resource-Enhanced Neural Model for Event Argument Extraction J Ma, S Wang, R Anubhai, M Ballesteros, Y Al-Onaizan EMNLP 2020, 2020 | 34 | 2020 |
| Lifelong Learning Memory Networks for Aspect Sentiment Classification S Wang, G Lv, S Mazumder, G Fei, B Liu 2018 IEEE International Conference on Big Data (BigData 2018), 2018 | 29 | 2018 |
| Severing the edge between before and after: Neural architectures for temporal ordering of events M Ballesteros, R Anubhai, S Wang, N Pourdamghani, Y Vyas, J Ma, ... EMNLP 2020, 2020 | 25 | 2020 |
| Forward and backward knowledge transfer for sentiment classification H Wang, B Liu, S Wang, N Ma, Y Yang Asian Conference on Machine Learning, 457-472, 2019 | 24 | 2019 |
| Sentiment Classification by Leveraging the Shared Knowledge from a Sequence of Domains G Lv, S Wang, B Liu, E Chen, K Zhang International Conference on Database Systems for Advanced Applications (DASFAA), 2019 | 24 | 2019 |
| Modeling review spam using temporal patterns and co-bursting behaviors H Li, G Fei, S Wang, B Liu, W Shao, A Mukherjee, J Shao arXiv preprint arXiv:1611.06625, 2016 | 22 | 2016 |
| Contextual and position-aware factorization machines for sentiment classification S Wang, M Zhou, G Fei, Y Chang, B Liu arXiv preprint arXiv:1801.06172, 2018 | 15 | 2018 |
| Instruction tuning for few-shot aspect-based sentiment analysis S Varia, S Wang, K Halder, R Vacareanu, M Ballesteros, Y Benajiba, ... arXiv preprint arXiv:2210.06629, 2022 | 13 | 2022 |
