| A hierarchical recurrent encoder-decoder for generative context-aware query suggestion A Sordoni, Y Bengio, H Vahabi, C Lioma, J Grue Simonsen, JY Nie Proceedings of the 24th ACM International on Conference on Information and …, 2015 | 497 | 2015 |
| Graph-based term weighting for information retrieval R Blanco, C Lioma Information retrieval 15 (1), 54-92, 2012 | 197 | 2012 |
| Research directions in terrier: a search engine for advanced retrieval on the web I Ounis, C Lioma, C Macdonald, V Plachouras CEPIS Upgrade Journal 8 (1), 2007 | 136 | 2007 |
| MultiFC: A real-world multi-domain dataset for evidence-based fact checking of claims I Augenstein, C Lioma, D Wang, LC Lima, C Hansen, C Hansen, ... arXiv preprint arXiv:1909.03242, 2019 | 101 | 2019 |
| FindZebra: a search engine for rare diseases R Dragusin, P Petcu, C Lioma, B Larsen, HL Jørgensen, IJ Cox, ... International journal of medical informatics 82 (6), 528-538, 2013 | 79 | 2013 |
| Part of speech based term weighting for information retrieval C Lioma, R Blanco European Conference on Information Retrieval, 412-423, 2009 | 75 | 2009 |
| University of Glasgow at TREC 2006: Experiments in Terabyte and Enterprise Tracks with Terrier. C Lioma, C Macdonald, V Plachouras, J Peng, B He, I Ounis TREC, 2006 | 75 | 2006 |
| Generating fact checking explanations P Atanasova, JG Simonsen, C Lioma, I Augenstein arXiv preprint arXiv:2004.05773, 2020 | 72 | 2020 |
| A diagnostic study of explainability techniques for text classification P Atanasova, JG Simonsen, C Lioma, I Augenstein arXiv preprint arXiv:2009.13295, 2020 | 69 | 2020 |
| University of Glasgow at WebCLEF 2005: Experiments in per-field normalisation and language specific stemming C Macdonald, V Plachouras, B He, C Lioma, I Ounis Workshop of the Cross-Language Evaluation Forum for European Languages, 898-907, 2005 | 58 | 2005 |
| Encoding word order in complex embeddings B Wang, D Zhao, C Lioma, Q Li, P Zhang, JG Simonsen arXiv preprint arXiv:1912.12333, 2019 | 51 | 2019 |
| Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients E Jimenez-Solem, TS Petersen, C Hansen, C Hansen, C Lioma, C Igel, ... Scientific reports 11 (1), 1-12, 2021 | 48 | 2021 |
| Power law distributions in information retrieval C Petersen, JG Simonsen, C Lioma ACM Transactions on Information Systems (TOIS) 34 (2), 1-37, 2016 | 45 | 2016 |
| On position embeddings in bert B Wang, L Shang, C Lioma, X Jiang, H Yang, Q Liu, JG Simonsen International Conference on Learning Representations, 2020 | 44 | 2020 |
| Random walk term weighting for information retrieval R Blanco, C Lioma Proceedings of the 30th annual international ACM SIGIR conference on …, 2007 | 43 | 2007 |
| A syntactically-based query reformulation technique for information retrieval C Lioma, I Ounis Information processing & management 44 (1), 143-162, 2008 | 41 | 2008 |
| Neural check-worthiness ranking with weak supervision: Finding sentences for fact-checking C Hansen, C Hansen, S Alstrup, J Grue Simonsen, C Lioma Companion Proceedings of the 2019 World Wide Web Conference, 994-1000, 2019 | 40 | 2019 |
| Multi-dueling bandits and their application to online ranker evaluation B Brost, Y Seldin, IJ Cox, C Lioma Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 34 | 2016 |
| Quantum-inspired multimodal fusion for video sentiment analysis Q Li, D Gkoumas, C Lioma, M Melucci Information Fusion 65, 58-71, 2021 | 33 | 2021 |
| Rhetorical relations for information retrieval C Lioma, B Larsen, W Lu Proceedings of the 35th international acm sigir conference on research and …, 2012 | 31 | 2012 |
