| Pretrained Transformers for Text Ranking: BERT and Beyond J Lin, R Nogueira, A Yates Synthesis Lectures on Human Language Technologies 14 (4), 1-325, 2021 | 441 | 2021 |
| CEDR: Contextualized Embeddings for Document Ranking S MacAvaney, A Yates, A Cohan, N Goharian Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 390 | 2019 |
| DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning K Popat, S Mukherjee, A Yates, G Weikum Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 345 | 2018 |
| Depression and Self-Harm Risk Assessment in Online Forums A Yates, A Cohan, N Goharian Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 340 | 2017 |
| 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 | 197 | 2017 |
| SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions A Cohan, B Desmet, A Yates, L Soldaini, S MacAvaney, N Goharian Proceedings of the 27th International Conference on Computational …, 2018 | 153 | 2018 |
| 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 | 147 | 2023 |
| ADRTrace: detecting expected and unexpected adverse drug reactions from user reviews on social media sites A Yates, N Goharian European Conference on Information Retrieval, 816-819, 2013 | 143 | 2013 |
| Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval K Hui, A Yates, K Berberich, G de Melo Proceedings of the 11th ACM International Conference on Web Search and Data …, 2018 | 136 | 2018 |
| BERT-QE: Contextualized Query Expansion for Document Re-ranking Z Zheng, K Hui, B He, X Han, L Sun, A Yates Findings of EMNLP, 2020 | 90 | 2020 |
| Simplified Data Wrangling with ir_datasets S MacAvaney, A Yates, S Feldman, D Downey, A Cohan, N Goharian Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 87 | 2021 |
| A framework for detecting public health trends with Twitter J Parker, Y Wei, A Yates, O Frieder, N Goharian Proceedings of the 2013 IEEE/ACM International Conference on Advances in …, 2013 | 84 | 2013 |
| 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 | 72 | 2018 |
| 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 | 60* | 2019 |
| Enhancing web search in the medical domain via query clarification L Soldaini, A Yates, E Yom-Tov, O Frieder, N Goharian Information Retrieval Journal 19 (1-2), 149-173, 2016 | 57 | 2016 |
| Triaging content severity in online mental health forums A Cohan, S Young, A Yates, N Goharian Journal of the Association for Information Science and Technology 68 (11 …, 2017 | 54 | 2017 |
| CEQE: Contextualized Embeddings for Query Expansion S Naseri, J Dalton, A Yates, J Allan 43rd European Conference on IR Research, 2021 | 53 | 2021 |
| STANCY: Stance Classification Based on Consistency Cues K Popat, S Mukherjee, A Yates, G Weikum 2019 Conference on Empirical Methods in Natural Language Processing and the …, 2019 | 49 | 2019 |
| Retrieving medical literature for clinical decision support L Soldaini, A Cohan, A Yates, N Goharian, O Frieder European Conference on Information Retrieval, 538-549, 2015 | 44 | 2015 |
| Extracting Adverse Drug Reactions from Social Media A Yates, N Goharian, O Frieder Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015 | 44 | 2015 |
