| Terrier information retrieval platform I Ounis, G Amati, V Plachouras, B He, C Macdonald, D Johnson Advances in Information Retrieval: 27th European Conference on IR Research …, 2005 | 822 | 2005 |
| Inferring query performance using pre-retrieval predictors B He, I Ounis International symposium on string processing and information retrieval, 43-54, 2004 | 315 | 2004 |
| Automatically building a stopword list for an information retrieval system RTW Lo, B He, I Ounis Journal on Digital Information Management: Special Issue on the 5th Dutch …, 2005 | 251 | 2005 |
| Query performance prediction B He, I Ounis Information Systems 31 (7), 585-594, 2006 | 194 | 2006 |
| Automated essay scoring by maximizing human-machine agreement H Chen, B He Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013 | 176 | 2013 |
| PARADE: Passage Representation Aggregation forDocument Reranking C Li, A Yates, S MacAvaney, B He, Y Sun ACM Transactions on Information Systems 42 (2), 1-26, 2023 | 160 | 2023 |
| An effective statistical approach to blog post opinion retrieval B He, C Macdonald, J He, I Ounis Proceedings of the 17th ACM conference on Information and knowledge …, 2008 | 134 | 2008 |
| Modeling term proximity for probabilistic information retrieval models B He, JX Huang, X Zhou Information Sciences 181 (14), 3017-3031, 2011 | 123 | 2011 |
| 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 | 120 | 2018 |
| Deep Sequence-to-Sequence Entity Matching for Heterogeneous Entity Resolution H Nie, X Han, B He, L Sun, B Chen, W Zhang, S Wu, H Kong Proceedings of the 28th ACM International Conference on Information and …, 2019 | 107 | 2019 |
| BERT-QE: Contextualized Query Expansion for Document Re-ranking Z Zheng, K Hui, B He, X Han, L Sun, A Yates EMNLP (Findings), 4718-4728, 2020 | 101 | 2020 |
| Chatgpt is a knowledgeable but inexperienced solver: An investigation of commonsense problem in large language models N Bian, X Han, L Sun, H Lin, Y Lu, B He, S Jiang, B Dong arXiv preprint arXiv:2303.16421, 2023 | 100 | 2023 |
| Combining fields for query expansion and adaptive query expansion B He, I Ounis Information processing & management 43 (5), 1294-1307, 2007 | 97 | 2007 |
| University of Glasgow at TREC 2004: Experiments in Web, Robust, and Terabyte Tracks with Terrier. V Plachouras, B He, I Ounis TREC, 2004 | 95 | 2004 |
| A study of parameter tuning for term frequency normalization B He, I Ounis Proceedings of the twelfth international conference on Information and …, 2003 | 88 | 2003 |
| Term frequency normalisation tuning for BM25 and DFR models B He, I Ounis Advances in Information Retrieval: 27th European Conference on IR Research …, 2005 | 86 | 2005 |
| University of Glasgow at TREC 2005: Experiments in Terabyte and Enterprise Tracks with Terrier. C Macdonald, B He, V Plachouras, I Ounis TREC, 2005 | 82 | 2005 |
| University of Glasgow at TREC 2007: Experiments in Blog and Enterprise Tracks with Terrier. D Hannah, C Macdonald, J Peng, B He, I Ounis TREC, 2007 | 80* | 2007 |
| Incorporating term dependency in the DFR framework J Peng, C Macdonald, B He, V Plachouras, I Ounis Proceedings of the 30th annual international ACM SIGIR conference on …, 2007 | 78 | 2007 |
| CRTER: using cross terms to enhance probabilistic information retrieval J Zhao, JX Huang, B He Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011 | 77 | 2011 |
