| Using Word Embedding to Evaluate the Coherence of Topics from Twitter Data A Fang, C Macdonald, I Ounis, P Habel the 39th International ACM SIGIR conference on Research and Development in …, 2016 | 58 | 2016 |
| Topic-centric Classification of Twitter User's Political Orientation A Fang, I Ounis, P Habel, C Macdonald Proceedings of the 38th International ACM SIGIR Conference on Research and …, 2015 | 51 | 2015 |
| Topics in Tweets: A User Study of Topic Coherence Metrics for Twitter Data A Fang, C Macdonald, I Ounis, P Habel the 38th European Conference on Information Retrieval, 2016 | 36 | 2016 |
| Accurate household occupant behavior modeling based on data mining techniques M Baptista, A Fang, H Prendinger, R Prada, Y Yamaguchi Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 25 | 2014 |
| GEMNET: Effective gated gazetteer representations for recognizing complex entities in low-context input T Meng, A Fang, O Rokhlenko, S Malmasi Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 15 | 2021 |
| Examining the Coherence of the Top Ranked Tweet Topics A Fang, C Macdonald, I Ounis, H Philip the 39th International ACM SIGIR conference on Research and Development in …, 2016 | 15 | 2016 |
| Exploring Time-Sensitive Variational Bayesian Inference LDA for Social Media Data A Fang, C Macdonald, I Ounis, P Habel, X Yang the 39th European Conference on Information Retrieval, 2017 | 12 | 2017 |
| SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER) S Malmasi, A Fang, B Fetahu, S Kar, O Rokhlenko Proceedings of the 16th International Workshop on Semantic Evaluation …, 2022 | 11 | 2022 |
| Gazetteer Enhanced Named Entity Recognition for Code-Mixed Web Queries B Fetahu, A Fang, O Rokhlenko, S Malmasi Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 11 | 2021 |
| Votes on twitter: Assessing candidate preferences and topics of discussion during the 2016 US presidential election A Fang, P Habel, I Ounis, C MacDonald SAGE Open 9 (1), 2158244018791653, 2019 | 10 | 2019 |
| MultiCoNER: a Large-scale Multilingual dataset for Complex Named Entity Recognition S Malmasi, A Fang, B Fetahu, S Kar, O Rokhlenko | 8 | 2022 |
| Using Phoneme Representations to Build Predictive Models Robust to ASR Errors A Fang, F Simone, N Limsopatham, O Rokhlenko Proceedings of the 43th Annual International ACM SIGIR Conference on …, 2020 | 7 | 2020 |
| An Effective Approach for Modelling Time Features for Classifying Bursty Topics on Twitter A Fang, I Ounis, C Macdonald, P Habel, X Xiong, H Yu | 5 | 2018 |
| Analysing political events on Twitter: topic modelling and user community classification A Fang ACM SIGIR Forum 53 (1), 38-39, 2021 | 3 | 2021 |
| Evaluating similarity metrics for latent Twitter topics X Wang, A Fang, I Ounis, C Macdonald European conference on information retrieval, 787-794, 2019 | 3 | 2019 |
| News and information leadership in the digital age P Habel, R Moon, A Fang Information, Communication & Society 21 (11), 1604-1619, 2018 | 3 | 2018 |
| Examining information on social media: Topic modelling, trend prediction and community classification A Fang Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 3 | 2017 |
| On the reproducibility and generalisation of the linear transformation of word embeddings X Yang, I Ounis, R McCreadie, C Macdonald, A Fang European Conference on Information Retrieval, 263-275, 2018 | 2 | 2018 |
| On refining Twitter lists as ground truth data for multi-community user classification T Su, A Fang, R McCreadie, C Macdonald, I Ounis European Conference on Information Retrieval, 765-772, 2018 | 2 | 2018 |
| CycleNER: An Unsupervised Training Approach for Named Entity Recognition A Iovine, A Fang, B Fetahu, O Rokhlenko, S Malmasi Proceedings of the ACM Web Conference 2022, 2916-2924, 2022 | | 2022 |
Iadh OunisProfessor at the University of Glasgow, School of Computing ScienceVerified email at glasgow.ac.uk
