| Pacrr: A position-aware neural ir model for relevance matching K Hui, A Yates, K Berberich, G de Melo Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 156* | 2017 |
| Co-PACRR: A context-aware neural IR model for ad-hoc retrieval K Hui, A Yates, K Berberich, G De Melo Proceedings of the eleventh ACM international conference on web search and …, 2018 | 112 | 2018 |
| TDNN: a two-stage deep neural network for prompt-independent automated essay scoring C Jin, B He, K Hui, L Sun Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 71 | 2018 |
| Ext5: Towards extreme multi-task scaling for transfer learning V Aribandi, Y Tay, T Schuster, J Rao, HS Zheng, SV Mehta, H Zhuang, ... arXiv preprint arXiv:2111.10952, 2021 | 63 | 2021 |
| NPRF: A neural pseudo relevance feedback framework for ad-hoc information retrieval C Li, Y Sun, B He, L Wang, K Hui, A Yates, L Sun, J Xu Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 53 | 2018 |
| BERT-QE: contextualized query expansion for document re-ranking Z Zheng, K Hui, B He, X Han, L Sun, A Yates arXiv preprint arXiv:2009.07258, 2020 | 42 | 2020 |
| Content-Based Weak Supervision for Ad-Hoc Re-Ranking S MacAvaney, A Yates, K Hui, O Frieder Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 36 | 2019 |
| Transformer memory as a differentiable search index Y Tay, VQ Tran, M Dehghani, J Ni, D Bahri, H Mehta, Z Qin, K Hui, Z Zhao, ... arXiv preprint arXiv:2202.06991, 2022 | 34 | 2022 |
| Simplified tinybert: Knowledge distillation for document retrieval X Chen, B He, K Hui, L Sun, Y Sun Advances in Information Retrieval: 43rd European Conference on IR Research …, 2021 | 19 | 2021 |
| An approach for weakly-supervised deep information retrieval S MacAvaney, K Hui, A Yates The Second SIGIR Workshop on Neural Information Retrieval (Neu-IR'17), 2017 | 16 | 2017 |
| Characterizing question facets for complex answer retrieval S MacAvaney, A Yates, A Cohan, L Soldaini, K Hui, N Goharian, O Frieder The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 15 | 2018 |
| A comparative study of pseudo relevance feedback for ad-hoc retrieval K Hui, B He, T Luo, B Wang Advances in Information Retrieval Theory: Third International Conference …, 2011 | 13 | 2011 |
| Position-aware representations for relevance matching in neural information retrieval K Hui, A Yates, K Berberich, G De Melo Proceedings of the 26th International Conference on World Wide Web Companion …, 2017 | 11 | 2017 |
| Transitivity, time consumption, and quality of preference judgments in crowdsourcing K Hui, K Berberich Advances in Information Retrieval: 39th European Conference on IR Research …, 2017 | 10 | 2017 |
| Overcoming low-utility facets for complex answer retrieval S MacAvaney, A Yates, A Cohan, L Soldaini, K Hui, N Goharian, O Frieder Information Retrieval Journal 22, 395-418, 2019 | 9 | 2019 |
| A document-based neural relevance model for effective clinical decision support Y Ran, B He, K Hui, J Xu, L Sun 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 8 | 2017 |
| Low-cost preference judgment via ties K Hui, K Berberich Advances in Information Retrieval: 39th European Conference on IR Research …, 2017 | 8 | 2017 |
| Incorporating ranking context for end-to-end BERT re-ranking X Chen, K Hui, B He, X Han, L Sun, Z Ye Advances in Information Retrieval: 44th European Conference on IR Research …, 2022 | 7* | 2022 |
| Contextualized query expansion via unsupervised chunk selection for text retrieval Z Zheng, K Hui, B He, X Han, L Sun, A Yates Information Processing & Management 58 (5), 102672, 2021 | 7 | 2021 |
| Contextualized PACRR for Complex Answer Retrieval. S MacAvaney, A Yates, K Hui TREC, 2017 | 7 | 2017 |
Andrew YatesUniversity of AmsterdamVerified email at uva.nl
