Predicting future rumours Y Qin, W Dominik, C Tang Chinese Journal of Electronics 27 (3), 514-520, 2018 | 44 | 2018 |
Spotting rumors via novelty detection Y Qin, D Wurzer, V Lavrenko, C Tang arXiv preprint arXiv:1611.06322, 2016 | 42 | 2016 |
Twitter-scale new event detection via k-term hashing D Wurzer, V Lavrenko, M Osborne Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 37 | 2015 |
Tracking unbounded topic streams D Wurzer, V Lavrenko, M Osborne Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 8 | 2015 |
Counteracting novelty decay in first story detection Y Qin, D Wurzer, V Lavrenko, C Tang Advances in Information Retrieval: 39th European Conference on IR Research …, 2017 | 5 | 2017 |
Parameterizing kterm hashing D Wurzer, Y Qin The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 2 | 2018 |
Randomised relevance model D Wurzer, M Osborne, V Lavrenko arXiv preprint arXiv:1607.02641, 2016 | 1 | 2016 |
How UMass-FSD Inadvertently Leverages Temporal Bias D Wurzer, Y Qin Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | | 2020 |
Scaling real-time event detection to massive streams DS Wurzer The University of Edinburgh, 2017 | | 2017 |
Spotting Information biases in Chinese and Western Media D Wurzer, Y Qin arXiv preprint arXiv:1701.01737, 2017 | | 2017 |
Counteracting Novelty Decay in First Story Detection D Wurzer, V Lavrenko, Y Qin, C Tang | | |