| Stance detection in COVID-19 tweets K Glandt, S Khanal, Y Li, D Caragea, C Caragea Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 131 | 2021 |
| Multi-task stance detection with sentiment and stance lexicons Y Li, C Caragea Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 101 | 2019 |
| P-stance: A large dataset for stance detection in political domain Y Li, T Sosea, A Sawant, AJ Nair, D Inkpen, C Caragea Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 76 | 2021 |
| Target-aware data augmentation for stance detection Y Li, C Caragea Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 32 | 2021 |
| Improving stance detection with multi-dataset learning and knowledge distillation Y Li, C Zhao, C Caragea Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 27 | 2021 |
| A multi-task learning framework for multi-target stance detection Y Li, C Caragea Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 18 | 2021 |
| TTS: A Target-based Teacher-Student Framework for Zero-Shot Stance Detection Y Li*, C Zhao*, C Caragea Proceedings of the ACM Web Conference 2023, 1500-1509, 2023 | 14 | 2023 |
| C-STANCE: A Large Dataset for Chinese Zero-Shot Stance Detection C Zhao, Y Li, C Caragea Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 12 | 2023 |
| Image mixed blur classification and parameter identification based on cepstrum peak detection Y Li, X Di 2016 35th Chinese Control Conference (CCC), 4809-4814, 2016 | 11 | 2016 |
| A New Direction in Stance Detection: Target-Stance Extraction in the Wild Y Li*, K Garg*, C Caragea Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 10 | 2023 |
| Sympathy detection in disaster Twitter data Y Li, S Park, C Caragea, D Caragea, A Tapia Proceedings of the 16th International Conference on Information Systems for …, 2019 | 9 | 2019 |
| Distilling Calibrated Knowledge for Stance Detection Y Li, C Caragea Findings of the Association for Computational Linguistics: ACL 2023, 6316-6329, 2023 | 6 | 2023 |
| A no-reference infrared image sharpness assessment based on singular value decomposition Y Li, X Di 2016 Visual Communications and Image Processing (VCIP), 1-4, 2016 | 3 | 2016 |
| XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners Y Luo, Z Yang, F Meng, Y Li, F Guo, Q Qi, J Zhou, Y Zhang Proceedings of the 2024 Conference of the North American Chapter of the …, 2023 | 1 | 2023 |
| Pro-Woman, Anti-Man? Identifying Gender Bias in Stance Detection Y Li, Y Zhang Findings of the Association for Computational Linguistics ACL 2024, 3229-3236, 2024 | | 2024 |
| ZeroStance: Leveraging ChatGPT for Open-Domain Stance Detection via Dataset Generation C Zhao*, Y Li*, C Caragea, Y Zhang Findings of the Association for Computational Linguistics ACL 2024, 13390-13405, 2024 | | 2024 |
| A Rationale-Centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution B Ding, Q Min, S Ma, Y Li, L Yang, Y Zhang Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | | 2024 |
| Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information Y Luo, Z Yang, F Meng, Y Li, J Zhou, Y Zhang Findings of the Association for Computational Linguistics: EMNLP 2023, 7563–7571, 2023 | | 2023 |
Cornelia CarageaUniversity of Illinois at ChicagoVerified email at uic.edu
