| How does BERT’s attention change when you fine-tune? An analysis methodology and a case study in negation scope Y Zhao, S Bethard Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 45 | 2020 |
| A comparison of strategies for source-free domain adaptation X Su, Y Zhao, S Bethard Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 9 | 2022 |
| Semeval-2021 task 10: source-free domain adaptation for semantic processing E Laparra, X Su, Y Zhao, Ö Uzuner, TA Miller, S Bethard Proceedings of the 15th International Workshop on Semantic Evaluation …, 2021 | 9 | 2021 |
| Systematic review of effect of data augmentation using paraphrasing on Named entity recognition S Sharma, A Joshi, N Mukhija, Y Zhao, H Bhathena, P Singh, ... NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research, 2022 | 8 | 2022 |
| The University of Arizona at SemEval-2021 task 10: Applying self-training, active learning and data augmentation to source-free domain adaptation X Su, Y Zhao, S Bethard Proceedings of the 15th International Workshop on Semantic Evaluation …, 2021 | 5 | 2021 |
| Do pretrained transformers infer telicity like humans? Y Zhao, JG Ngui, LH Hartley, S Bethard Proceedings of the 25th Conference on Computational Natural Language Learning, 2021 | 5 | 2021 |
| Importance of synthesizing high-quality data for text-to-SQL parsing Y Zhao, J Jiang, Y Hu, W Lan, H Zhu, A Chauhan, A Li, L Pan, J Wang, ... arXiv preprint arXiv:2212.08785, 2022 | 4 | 2022 |
| Learners' harmonic preferences are modulated by lexical retrieval difficulty Y Zhao, M Fedzechkina Proceedings of the Linguistic Society of America 5 (1), 708-721, 2020 | 4 | 2020 |
| When and how to paraphrase for named entity recognition? S Sharma, A Joshi, Y Zhao, N Mukhija, H Bhathena, P Singh, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 2 | 2023 |
| Using the Hammer only on Nails: A Hybrid Method for Representation-Based Evidence Retrieval for Question Answering Z Liang, Y Zhao, M Surdeanu European Conference on Information Retrieval, 327-341, 2021 | 2* | 2021 |
| Inferring missing metadata from environmental policy texts S Bethard, E Laparra, S Wang, Y Zhao, R Al-Ghezi, A Lien, ... Proceedings of the 3rd joint SIGHUM workshop on computational linguistics …, 2019 | 1 | 2019 |
| How to Probe Linguistic Knowledge and Bias Y Zhao The University of Arizona, 2022 | | 2022 |
| Preferences for shorter dependencies in miniature language learning are modulated by the statistics of learners’ L1 Y Zhao, C Torres, M Fedzechkina CUNY, 2021 | | 2021 |
| Dependency length minimization: An abstract bias or an input-driven preference? M Fedzechkina, C Torres, Y Zhao | | |
